Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-23T16:59:51.108Z Has data issue: false hasContentIssue false

Extraverted innovators and conscientious laggards? Investigating effects of personality traits on language change

Published online by Cambridge University Press:  18 May 2023

Carina Steiner*
Affiliation:
University of Bern, Switzerland University of Zurich, Switzerland
Péter Jeszenszky
Affiliation:
University of Bern, Switzerland
Viviane Stebler
Affiliation:
University of Bern, Switzerland
Adrian Leemann
Affiliation:
University of Bern, Switzerland University of Zurich, Switzerland
*
Corresponding author: Carina Steiner. Email: carina.steiner@unibe.ch
Rights & Permissions [Opens in a new window]

Abstract

Although personality-related factors play a crucial role in sociolinguistics as conceivable sources of language variation and change, there is insufficient quantitative evidence on such relationships. Using a large and balanced sample (n = 1000), this study investigated effects of personality traits on the use of a Swiss German plural marker in its early stages of diffusion. Besides age and region, conscientiousness and extraversion emerged as the most important predictors: less conscientious and, to a certain extent, more extraverted speakers were more likely to contribute to the diffusion of the morphological innovations under investigation. Based on our results, we argue that less conscientious speakers might monitor their own speech and that of others less closely, thus adopting innovations earlier, whereas extraverted speakers may act as successful brokers in transmitting innovations from one social group to another.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

Questions related to innovation diffusion, or rather to who contributes in which way to the diffusion of innovations, have been a central focus of debate since the beginnings of sociolinguistic examination of language change. While personality traits have sparked discussions about the characteristics of leaders of language change, research on their potential impact has been rather limited. This study seeks to bridge this gap by investigating effects of conscientiousness, extraversion, and openness on grammatical change in relation to a Swiss German plural marker in its early stages of diffusion. The paper begins with an overview of the general role of personality in innovation diffusion before turning to introduce -ene plurals in Swiss German, the particular phenomenon on which personality influences are tested. The participants, materials, and procedures of the current study are detailed in the methods section. Subsequently, the diffusion of -ene plurals is outlined, and findings based on mixed-effects modeling are presented. Finally, the identified effects are discussed with the main focus on the interrelations between personality and language change.

Innovation diffusion and the role of personality

In order for an innovation to spread, it needs to be adopted and passed on among the members of a community. Rogers’ (Reference Rogers2017) theory of innovation diffusion, developed in the early 1960s, describes the process of how and why an idea or a product diffuses through a population, starting with a small number of venturesome innovators and diffusing through the subsequent adopter groups, as visualized in Figure 1.

Figure 1. Innovation diffusion curve with adopter categorization according to Rogers (Reference Rogers2017:247).

This concept was soon taken up by other disciplines and gained popularity in sociolinguistics in particular, with the most intriguing questions revolving around who the innovators are (e.g., Labov, Reference Labov2001:190-192, 323-411; Tamminga, Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021). Besides traditional Labovian macrocategories (e.g., age, gender, region, social class), social networks, affective factors, and mobility, speaker personality has gained increasing attention in such debates.

Before presenting specific studies, it is crucial to understand how personality is approached in this paper. One of the most widely accepted models of personality is the “Big Five,” comprising the following independent and relatively stable traits (Goldberg, Reference Goldberg1993; McCrae & Costa, Reference McCrae and Costa1987; McCrae & John, Reference McCrae and John1992):

  1. 1) Conscientiousness, associated with a person's reliability, dutifulness, thoroughness, and diligence

  2. 2) Extraversion, measuring assertiveness, gregariousness, sociability, and expressiveness

  3. 3) Openness (or ‘openness to experience’), capturing an individual's wide range of interests, curiosity, intellectuality, and unconventional values

  4. 4) Agreeableness, encompassing trustworthiness, kindness, and politeness

  5. 5) Neuroticism, referring to an individual's emotional stability

Over the past decades, psychological research has demonstrated that language can be indicative of these dispositions (see Azucar, Marengo, & Settanni, Reference Azucar, Marengo and Settanni2018; Caplan, Adams, & Boyd, Reference Caplan, Adams, Boyd, Carducci and Nave2020; Tausczik & Pennebaker, Reference Tausczik and Pennebaker2010). From classical, correlational studies (e.g., Cohen, Minor, Baillie, & Dahir, Reference Cohen, Minor, Baillie and Dahir2008; Hirsh & Peterson, Reference Hirsh and Peterson2009; Pennebaker & Graybeal, Reference Pennebaker and Graybeal2001; Pennebaker & King, Reference Pennebaker and King1999) to innovative methods with social media data and natural language processing (e.g., Boyd & Pennebaker, Reference Boyd and Pennebaker2017; Park, Schwartz, Eichstaedt, Kern, Kosinski, Stillwell, Ungar, & Seligman, Reference Park, Schwartz, Eichstaedt, Kern, Kosinski, Stillwell, Ungar and Seligman2014), interrelations of language and personality have been tested in a multitude of studies. A noteworthy study in the German context is Andresen (Reference Andresen2015), who found positive correlations between extraversion and the use of certain discourse particles and interjections, and that introverted speakers used more vague expressions compared to their extraverted peers.

Regarding innovation diffusion, Rogers (Reference Rogers2017:257-258) suggested that adopter groups can be distinguished based on their personality, with earlier adopters, for example, showing greater empathy and having a more open belief system compared to later adopters. Although intuitively it is perfectly reasonable that such mechanisms may apply to linguistic innovativeness (e.g., that curiosity and creativeness lead to a more progressive language use) and leaders of language change have been characterized as a small group with distinctive personality characteristics (e.g., Labov, Reference Labov2001:382-411; Labov, Reference Labov2018), empirical findings are limited. A rare example comes from Stuart-Smith and Timmins (Reference Stuart-Smith, Timmins, Llamas and Watt2010), who investigated the effects of social identity and personality on sound change in Glaswegian. Their participants were assigned to Rogers’ adopter categories (see Figure 1) based on social relations, nonlinguistic innovativeness behavior, and personality traits, and their findings suggested that adopter categories corresponded to the investigated sound changes. A similar question was addressed in Cheshire, Fox, Kerswill, and Torgersen (Reference Cheshire, Fox, Kerswill and Torgersen2008). With reference to Wenger (Reference Wenger1998:109) and Eckert (Reference Eckert2000:199-228), linguistic innovativeness was discussed in relation to brokering and personality. Based on their findings, Cheshire et al. (Reference Cheshire, Fox, Kerswill and Torgersen2008:23) concluded that personality factors can be decisive in the capacity to act as successful brokers and to exert social influence in the transmission of new ideas.

Quantitative insights into the relation between personality and language change mainly come from studies on speech accommodation. Early research by Welkowitz and Feldstein (Reference Welkowitz and Feldstein1969, Reference Welkowitz, Feldstein, Finkelstein and Aylesworth1972) indicated that speakers who perceived themselves as similar in terms of attitudes and personality were more likely to influence each other's speech patterns and timing (e.g., they converged in vocal intensity and pause duration). Dimov, Shira, and Johnson (Reference Dimov, Shira, Johnson, Solé and Recasens2012) found that the trait of empowerment, defined as the capacity to wield control, was negatively associated with compensation for altered auditory feedback. However, their findings were based on a small and unbalanced sample (forty-nine male students). In a larger sample (n = 93), Yu, Abrego-Collier, and Sonderegger (Reference Yu, Abrego-Collier and Sonderegger2013) experimentally tested how personality traits affect phonetic imitation by randomly assigning participants to four conditions with varying narrator characteristics and story outcomes, and assessed shifts in the participants’ VOT according to the condition. Although the results suggested high variability in phonetic imitation both across contexts and participants, they found openness to be associated with a shift toward the narrator, while conscientiousness tended to be associated with shifting away from the narrator, though the latter effect was not statistically significant across different model parametrizations. Denis (Reference Denis2011) reported a positive relation between gregariousness (measured by the number of references to friends in an interview) and the diffusion of morphosyntactic innovations. This study also indirectly revealed the close intertwining of personality and social networks: Denis’ (Reference Denis2011:65) metric of “apparent gregariousness,” which is inherently related to extraversion (see above), was taken as an indicator of social networks, based on the assumption that more gregarious and sociable speakers can rely on denser and more multiplex networks. With the aim of investigating how “factors related to commonly-proposed sociolinguistic leadership traits” may predict linguistic innovativeness, Tamminga (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021:271) tested effects of extraversion on a set of covarying reversing vowel changes in a sample of fifty-six young women from Philadelphia. Contrary to her expectations, extraversion did not correlate with the sound changes under scrutiny, which is why Tamminga (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021:283-285) attested that extraversion might not be a primary predictor of language change, at best playing a supporting role instead.

The linguistic variable: -ene plurals in Swiss German

Given the aim to gain a better understanding of how personality relates to linguistic innovativeness, we needed to investigate a phenomenon in its early stages of diffusion. Whereas the very incipient stage can hardly be detected empirically, the focus in this paper is on a change that can be classified as still “new and vigorous” (Labov, Reference Labov2001:132): the diffusion of -ene plurals in Swiss German.

Before turning to the particular phenomenon, it is important to consider the sociolinguistic situation in German-speaking Switzerland. The Swiss German context differs not only from that of other languages such as English or Spanish, but also from other varieties of German in two main ways. First, Swiss German speakers are primarily socialized in the nonstandard variety, whereas the codified standard is predominantly learned in school or from the media. Hence, all speakers are competent users of their local dialect. Secondly, German-speaking Switzerland displays a special form of diglossia, where dialects are not stigmatized but are prestigiously valued and may serve as iconic markers of local identity (e.g., Berthele, Reference Berthele and Christen2004; Steiner, Jeszenszky, & Leemann, Reference Steiner, Jeszenszky and Leemann2022; Studler, Reference Studler, Hettler, Jürgens, Langhanke and Purschke2013, Reference Studler2017). These two aspects distinguish dialect change from other contexts and thus are important to bear in mind when interpreting findings on Swiss German innovation diffusion.

With regard to the plural system, native Swiss German nouns can be divided into five inflection classes: zero plurals, umlaut plurals, and three additive plurals with the suffixes -er, -e, and -ene (e.g., Marti, Reference Marti1985:86-90; Weber, Reference Weber1948:111-119). This classification is largely representative of all dialects with a crucial exception in this paper's context related to feminine zero plurals: while zero plurals such as Tanne-ø ‘firs-f.pl’ prevail in northern, central, and eastern regions, plurals in southwestern regions are mostly formed with a word-final vowel change (e.g., Tanne - Tanni), thus, they are morphologically differentiated in these dialects (see SDS III, Reference Hotzenköcherle and Baumgartner1975, maps 183/186).

In recent decades, several changes have been observed regarding enhanced number opposition, one of which is the diffusion of -ene plurals (see Landolt, Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010:105-106 for examples). This plural suffix was documented in the historical atlas of German-speaking Switzerland around the 1950s (Sprachatlas der deutschen Schweiz, henceforth SDS, Reference Hotzenköcherle and Baumgartner1962–2003) as the traditional marker for disyllabic feminine nouns ending in -i (e.g., Chuchi - Chuchene ‘kitchen - kitchens’; SDS III, Reference Hotzenköcherle and Baumgartner1975, map 187). Along the lines of enhanced number opposition, it has been speculated that the -ene suffix is currently diffusing rapidly to a series of other nouns (e.g., Graf, Reference Graf2015; Landolt, Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010), as shown in (1)–(3).Footnote 1

  1. (1) Disyllabic feminine nouns ending in -e (main type):

    Sohle   – Sohlene

    sole:f.sg   – soles-f.pl

  2. (2) Apocopied (monosyllabic) feminine nouns:

    Brügg   – Bruggene

    bridge:f.sg – bridges-f.pl

  3. (3) Neuter nouns:

    Thema  – Themene

    topic:n.sg – topics-n.pl

The diffusion of -ene plurals has been described as the most profound current change in Alemannic inflection (Nübling, Reference Nübling2008:318). Klein and Kopf (Reference Klein and Kopf2019) presented an interesting adaption of a model by Köpcke (Reference Köpcke1988, Reference Köpcke1993), according to which the potential for -ene plurals to spread can be explained by their high saliency (e.g., compared to zero plurals), their frequent applicability, and their reservation for plural marking (i.e., the -ene suffix does not appear in the singular as a contrast category). Further, Klein and Kopf (Reference Klein and Kopf2019:35) discussed its importance for feminine plurals because they cannot rely on syntagmatic support from the article (in German, die-f.sg and die-f/m/n/.pl are formally identical). Whether the -ene plural is a standard-convergent or divergent innovation is a matter of debate. Landolt (Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010:63ff.), for example, argued for an interpretation of -ene plurals as a loan formation from Standard German due to formal analogies. In this view, an application of the -ene suffix, as in Rosene ‘roses,’ is seen as formally identical to the standard plural system, in which disyllabic feminine nouns are generally suffixed with -n (e.g., Rosen). On the other hand, the phenomenon can be historically traced as an Alemannic innovation (see Kopf, Reference Kopf2014; Szadrowsky, Reference Szadrowsky1933) and supporters of intradialectal theories such as Christen (Reference Christen1998:58, 63) have argued that the diffusion of -ene plurals exemplifies an extension of an existing dialectal principle, resulting in supraregional dialect convergence and standard divergence.

Despite the lively debates, evidence on the diffusion of -ene plurals is mostly anecdotal (e.g., Christen, Reference Christen and Stickel1997, Reference Christen1998; Graf, Reference Graf2015; Landolt, Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010; Rowley, Reference Rowley1997). A rare empirical exception comes from a study conducted in two villages by Catillaz (Reference Catillaz1982), who reported instances of innovative -ene plurals in disyllabic feminine nouns, which seemed to be determined mainly by place and age. While the age trend was in the expected direction of an apparent-time change, the effect of place was rather surprising: speakers from the smaller, more rural village seemed to be more innovative than those from the bigger village in the vicinity of the urban area of Bern. Catillaz offered an interesting explanation for this finding, concluding that speakers living closer to Bern might view the -ene suffix as a typical Bernese marker, and hence refrain from using it in order to distance themselves linguistically from their urban neighbors. In a more recent study on loanwords and abbreviations, Klein and Kopf (Reference Klein and Kopf2019), based on online survey data, suggested that -s plurals might replace -ene plurals even before they could be widely established.Footnote 2 At the same time, they pointed out the need for studies on native Swiss German nouns rather than loanwords, especially in cases where competition between -ene and -s plurals is possible (Reference Klein and Kopf2019:46). Outside Switzerland, some anecdotal instances have been documented, such as in Northern Bavarian (Rowley, Reference Rowley1997:158-160) and Highest Alemannic in Austria (DiÖ, 2022). In turn, Kopf (Reference Kopf2014:206f.) did not find any signs of diffusion among Low Alemannic speakers from southern Germany, which might be related to an effect of the sociolinguistic situation: while dialects are more vigorous in German-speaking Switzerland, their rather moribund situation in Germany might impede innovativeness.

Aims, research questions, and hypotheses

As detailed above, personality traits related to conscientiousness, extraversion, and openness have been argued to play a crucial role in innovation diffusion, but empirical evidence is thin. This study investigates the impact of these traits on an emerging morphological marker, addressing the following research question:

How do the personality traits of extraversion, openness, and conscientiousness affect the diffusion of -ene plurals in Swiss German when age, gender, education, region, mobility, language attitudes and use, and social networks, are controlled for?

We hypothesize that openness and extraversion are positively related to the diffusion of -ene plurals since characteristics such as gregariousness, outgoingness, curiosity, and creativity have been discussed as factors boosting linguistic innovation. Conscientiousness, on the other hand, is assumed to exert a negative influence, since characteristics such as dutifulness and self-discipline are assumed to be associated with linguistic conservatism rather than innovation.

Methods

Participants

The sample consisted of one thousand speakers from the SDATS project (“Swiss German Dialects Across Time and Space”), a large-scale study on language variation and change in German-speaking Switzerland (Leemann, Jeszenszky, Steiner, Messerli, & Studerus, Reference Leemann, Jeszenszky, Steiner, Messerli and Studerus2020b). The speakers came from 125 localities (i.e., eight speakers per localityFootnote 3), balanced across gender and age cohort (20-35 years old; 60+ years old). They had grown up and lived in the same place for most of their lives, and at least one of their parents came from the same region. Further, their daily travel time was required to not exceed the Swiss average of approximately two hours, and we aimed for a representative sample regarding educational background (FSO, 2019). Multilingual speakers were not excluded from the study; however, they were required to speak Swiss German as their first and main language. Since all Swiss German speakers are proficient dialect users, no assessment of dialect competence was needed.

Materials

Five lexemes were selected to investigate the diffusion of -ene plurals (see Table 1).

Table 1. -ene plural items (frequency is indicated on an index from 1 = rare to 7 = frequent, see https://www.dwds.de/d/worthaeufigkeit for details)

Aside from the basic criterion of selecting common and familiar words, the focus was on the main type of disyllabic feminine nouns ending in -e which traditionally take a zero plural in most dialects (items 1-3 in Table 1). Sohle and Tanne were already elicited in the historical atlas, where no -ene plurals were documented (SDS III, Reference Hotzenköcherle and Baumgartner1975, 183/186). Brügg is apocopied in the singular in most dialects and was selected to investigate the appearance of the -ene suffix in a category where it would not be needed for morphological opposition. Finally, besides testing the diffusion to neuter nouns, Thema was chosen to investigate -ene plurals in (abstract) loanwords that were discussed in the previous literature. In addition to the five target items, Chuchi - Chuchene ‘kitchens’ was integrated to test whether the traditional -ene plurals in feminine -i nouns are still in use today.

Procedure

Data collection took place between February, 2020 and December, 2021. The linguistic material was gathered in a traditional 2-3-hour dialect interview, following a similar elicitation paradigm to the historical atlas (SDS, Reference Hotzenköcherle and Baumgartner1962-2003) to ensure comparability between the two datasets. Due to the COVID-19 pandemic, 76.2% of all interviews needed to be conducted remotely via videoconferencing (see Leemann, Jeszenszky, Steiner, Messerli, & Studerus, Reference Leemann, Jeszenszky, Steiner, Messerli and Studerus2020a). After the oral interview, participants completed an online questionnaire (~45 minutes). Written consent was obtained from all participants, and they were compensated with CHF 100 (=$109 US, 01-25-2023).

The linguistic items were elicited orally as part of the dialect interview. Given the early stages of diffusion of -ene plurals, we needed to focus on contexts in which they could be expected at a certain minimal frequency to allow for statistical analyses. Previous findings suggested that these suffixes may appear more frequently in isolated plural formation tasks than if the target items are embedded in a sentence or text (Catillaz, Reference Catillaz1982; Nickel & Werth, Reference Nickel, Werth, Vergeiner, Elspaß and Wallner2022). Thus, the five items were elicited via isolated picture-naming tasks and, in the case of Thema, a sentence translation and completion task (i.e., participants were provided with the lexeme in Standard German and instructed to translate it into their local dialect and provide a plural form). These items were embedded in a block with eleven other plural tasks, and participants were explicitly instructed to produce singular and plural forms. An elicitation example is displayed in Figure 2.

Figure 2. Illustration of the two consecutive prompts for the elicitation of Tanne ‘fir’ in singular (left: “What do you call this tree?”) and plural (right: “What do you call these trees?”).

Figure 3. Dialect regions according to Hotzenköcherle (Reference Hotzenköcherle1984). CH = Switzerland.

Data-coding involved the transcription of raw variants and the classification of inflection types. For statistical modeling regarding -ene plurals, a binary variable (“-ene” applied or not) was created. Occurrences were counted even if a participant stated -ene plurals as one of two or more possible forms, which happened only rarely. All predictor variables were based on data assessed via the participant questionnaire administered after the interview. Besides personality traits, a range of control variables were integrated into the analysis. A detailed analysis report along with the dataset may be downloaded from osf.io (https://osf.io/ebmsw/).

Personality traits

Analogous to previous studies (e.g., Tamminga, Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021; Yu et al., Reference Yu, Abrego-Collier and Sonderegger2013), conscientiousness, openness, and extraversion were assessed via the Big Five inventory (see Satow [Reference Satow2012] for the standardized German version used in this study). Each scale consisted of ten items, which may be consulted in Table 2 (see Section 1 of the analysis report online for the original German wording).

Table 2. Big Five items related to conscientiousness, extraversion, and openness

The items were presented as statements in random order, and participants had to indicate their agreement on a four-point Likert scale. Cronbach's alpha values in the SDATS sample ranged between satisfactory 0.75 and 0.80, indicating reliable measurement of the constructs. Summary scores for each scale were obtained by calculating the mean of the ten items related to the respective personality traits, resulting in a numeric value of 1-4 (the higher the score, the stronger the respective personality trait). Agreeableness and neuroticism were not integrated in this analysis because no theoretical or empirical link between these constructs and the diffusion of -ene plurals was assumed to exist.

Control variables

To test whether the hypothesized personality effects hold true when major factors known to exert an influence on language variation and change are controlled for, the variables presented in Table 3 were integrated into the analysis.

Table 3. Structure of control variables added to the fully adjusted mixed effects model

While age, gender, education, region, mobility, and social networks were integrated into the analysis as genuinely important factors in language variation and change, the Dialect Standard Profile (DSP) was included due to the discussion of -ene plurals converging toward or diverging from the standard language. The DSP was compiled following the principles of the Bilingual Language Profile (BLP; Birdsong, Gertken, & Amengual, Reference Birdsong, Gertken and Amengual2022), an established measure for language dominance in multilingual contexts, and was based on questionnaire data about productive and receptive use, as well as attitudes toward both varieties (see analysis report online, Section 2.2).

Data analysis

Statistical analyses were performed in R (R Core Team, 2022). Since personality traits might be subject to regional variation (Ebert, Gebauer, Brenner, Bleidorn, Gosling, Potter, & Rentfrow, Reference Ebert, Gebauer, Brenner, Bleidorn, Gosling, Potter and Rentfrow2022), the data were examined for potential patterns via ggmap (Kahle & Wickham, Reference Kahle and Wickham2013) and Moran's I tests for spatial autocorrelation. Subsequently, logistic mixed-effects models were fitted via lme4 (Bates, Maechler, Bolker, & Walker, Reference Bates, Maechler, Bolker and Walker2015). Influences of personality traits on the diffusion of -ene plurals were tested by comparing an unadjusted model with conscientiousness, extraversion, and openness as sole fixed effects to a fully adjusted model including all control variables and potential interactions, of which only those with p < .05 were retained. In both models, random intercepts were entered for speaker and item to allow for subject- and word-specific variation.Footnote 4 To test for collinearity between predictors, variance inflation factors (VIFs) were computed. Since all VIFs were close to 1, no collinearity issues were expected.

As an additional close-up, speakers were assigned to Rogers’ (Reference Rogers2017) adopter categories based on their total number of -ene plurals to examine personality-related variation between earlier and later adopters.

Results

The following section is divided into three parts. First, the focus is set on the outcome variable by presenting variation and change in -ene plurals in real and apparent time. Second, effects of conscientiousness, extraversion, and openness on the diffusion of -ene plurals are presented by comparing a personality-only model to a fully adjusted model including all control variables. Third, different adopter groups are compared in terms of their personality.

Diffusion of -ene plurals in real and apparent time

While traditional -ene plurals in feminine nouns ending in -i (as in Chuchi - Chuchene) have been proven to be still in use today, the innovative use measured by the five items Sohle, Tanne, Rose, Brügg, and Thema increased from no occurrences in the historical data to an average of 4% in the currently older cohort and 21% in the younger cohort (see analysis report online, Section 3.3 for a graphical representation). Figure 4 shows the predicted probability of -ene plurals for both SDATS cohorts, computed based on the fully adjusted mixed-effects model presented in Table 6. Based on these model predictions, older speakers use -ene plurals with a probability of 0.17% to 5.34%. The probability in the younger cohort ranges between 1.8% and 40%. Besides age-related differences, the maps in Figure 4 reveal a regional stratification: While the probability of -ene plurals is very low in the alpine south, in the other regions we can observe an increase of expected -ene plurals from west to east.

Figure 4. Predicted spatial distribution of -ene plural probability in the older (left) and younger (right) SDATS cohort.

While Table 4 contrasts the innovative plurals with the most common competing traditional plural markers, Figure 5 presents a full account of all plural types in the SDATS data in both age cohorts.

Figure 5. Proportional distribution of plural formation types in the older (top) and younger cohort (bottom). Sg = singular.

Table 4. -ene plurals versus dominant traditional plural forms across age cohorts

Figure 5 indicates that although the frequency ranking was the same in both age cohorts (i.e., most -ene plurals for Thema, followed by Sohle, Brügg, Tanne, and Rose), younger speakers used the -ene suffix much more frequently overall (21% versus 4%). In the case of Brügg, which is traditionally apocopied in singular,Footnote 5 the gain in -ene plurals from the older to the younger cohort (+13.6pp) was mostly due to a drop in -e plurals (i.e., Brügg - Brügge, –13pp). With regard to the other four variables, a comparison of the leftmost two bars across the two generations suggests that the increase of -ene plurals from the older to the younger cohort (mean across the four items +17.3pp) was paired with a marked decrease in zero plurals (–15.2pp), while the shares of the other forms remained similar (i.e., –2.1pp). Related to the potential competition between -ene and -s plurals in nonnative nouns, distributions regarding Thema show that, even though the use of -s plurals increased somewhat from the older to the younger cohort, -ene plurals clearly prevailed against -s plurals (9% versus 2.2% in the older and 36.2% versus 7.2% in the younger cohort).

Distribution of personality traits and mixed-effects models

Both age cohorts exhibited similar, normal distributions regarding conscientiousness and openness. A slight difference was observed related to extraversion with somewhat higher scores for the younger cohort. Regarding regional variation, the mapped data suggested no effects, which was confirmed by the Moran's I tests (see analysis report online, Section 3.4 for details).

Table 5 details the output of the unadjusted logistic mixed-effects model with the scores of the three personality traits as fixed factors and speaker and item as random factors. In Figure 6, the fixed effects are displayed visually.

Figure 6. Effect plots for conscientiousness, extraversion, and openness.The output from the fully adjusted model is displayed in Table 6 along with effect plots in Figure 7.

Table 5. Fixed effects of the unadjusted model (total n = 4995)

Note. Predicted outcome = -ene plural applied; groups: speaker: 999; item: 5.

As can be deduced from Table 5 and Figure 6, the unadjusted model suggested a substantial negative effect for conscientiousness (–1.16 [±0.23], z = –4.93, p < 0.001); this is, the higher the score, the lower the predicted probability of using -ene plurals. The effect for extraversion pointed in the opposite direction, with more extraverted speakers having higher odds of using -ene plurals (0.96 [±0.22], z = 4.27, p < 0.001). For openness, the model suggested a weak and highly uncertain trend (0.29 [±0.21], z = 1.35, CI2.5−97.5 = –0.13-0.70, p = 0.18).

Table 6. Fixed effects of the fully adjusted model (total n = 4970)

Predicted outcome = -ene plural applied; groups: speaker: 994; item: 5. For categorical variables, % -ene plurals and n are reported for each level.

While the negative effect of conscientiousness remained robust (–0.76 [±0.21], z = –3.60, p < 0.001), the positive effect for extraversion weakened (0.37 [±0.20], z = 1.83, CI2.5-97.5 = –0.03-0.77, p = 0.068) when entering the control variables. Partly, this is related to the age effect: With the younger speakers being the slightly more extraverted ones, entering age cohort as a predictor may have contributed to the weakening of the extraversion effect. In addition, a post hoc analysis revealed an influential outlier in the data. An atypical speaker from Northwestern Switzerland had exceedingly frequent use of -ene plurals but extremely low values in extraversion and otherwise a rather conservative background (low mobility, rather closed network, etc.).Footnote 6 When the model was rerun without this outlier, the effect for extraversion increased (0.43 [±0.21], z = 2.1, p = 0.036; full model output in analysis report online, Section 4.3).

Among the control variables, the strongest effect was observed for age cohort, indicating that speakers in the younger cohort were much more likely to use -ene plurals than older speakers (1.91 [±0.35], z = 5.46, p < 0.001). Further, the model revealed regional effects, most prominently so for the Southwest, where speakers were predicted to be much less likely to produce -ene plurals (see also Figure 5). Lastly, an interaction between age and social networks slightly below the p = .05 level was identified, indicating diverging effects of social networks for the two age cohorts (see plot at the bottom right-hand side of Figure 7).

Figure 7. Effect plots for personality traits (top row), region (bottom left), and Age*SNI (bottom right).

Cross-comparing -ene adopter groups

Since the statistical modeling yielded intriguing results related to conscientiousness and, to a lesser degree, extraversion, an additional close-up analysis of the distribution of these traits among earlier and later adopters of -ene plurals was conducted. Therefore, speakers were assigned to Rogers’ (Reference Rogers2017) adopter categories based on their total number of -ene plurals (Figure 8). Rogers’ small group of innovators comprises 2.5% of the population, which roughly corresponds to the proportion of speakers in our sample who produced four to five -ene forms (3.3%). Speakers with two to three -ene plurals amounted to 13.5% of the sample and were assigned to the early adopter group accordingly. Another 16.3% used only one -ene form, making up roughly the first half of Rogers’ early majority. The three resulting -ene adopter categories were contrasted with the remaining speakers who did not use the innovation (i.e., 66.9%).

Figure 8. Speaker assignment to adopter categories based on the number of -ene plurals produced.

Figure 9 presents distributions of conscientiousness and extraversion across the created -ene adopter groups. Overall, early adopters, and especially innovators, showed divergent distributions, while the early majority strongly resembled the rest of the sample who did not produce any -ene plurals. Regarding extraversion, based on group means, one could suspect a potentially nonlinear relationship, with the values increasing from innovators (3.02) to early adopters (3.08), before sharply decreasing again in the early majority group (2.94). However, one must bear in mind the drastically varying sample sizes and the uncertainty related to it, particularly with the innovator group comprising only thirty-three speakers. In addition, this group included the above-discussed lower bound outlier which heavily affected the central tendency. Nevertheless, a potential nonlinear effect was tested and ruled out in a mixed-effects GAM using the package gamm4 (Wood & Scheipl, Reference Wood and Scheipl2020, see analysis report online, Section 6). What most distinguished the innovators and early adopters was their conscientiousness: The lowest mean values were found for the innovators (2.51), compared to 2.71 for early adopters, 2.77 for early majority, and 2.84 for the remaining speakers.

Figure 9. Conscientiousness and extraversion across adopter groups.

Discussion

This study focused on interrelations between personality and language change. We hypothesized conscientious speakers to act as conservators of traditional forms, while extraverted and open speakers may foster change as measured by the diffusion of -ene plurals in Swiss German. This discussion starts with reflections on the spread of -ene plurals as the linguistic outcome variable. The second and main part provides an interpretation of the intertwining of personality and language change, with a focus on conscientiousness as the most important effect in our analyses.

-ene plurals in Swiss German in their early stages of diffusion

Our data demonstrate the diffusion of the -ene suffix from disyllabic feminine nouns ending in -i to a range of further nouns, providing large-scale empirical support to previous claims mainly based on anecdotal evidence (e.g., Christen, Reference Christen and Stickel1997, Reference Christen1998; Graf, Reference Graf2015; Landolt, Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010). Unsurprisingly, the main factors driving this change seem to be age and region, which corroborates, on a large scale, Catillaz's (Reference Catillaz1982) findings from two small villages. The sharp increase in the use of the innovative -ene plurals across generations in the historical and contemporary data points toward a change in both real and apparent time. The apparent-time effect was confirmed inferentially, with age cohort constituting the most important predictor among the control variables in the fully adjusted model. Further, an interaction between age and social networks was identified, indicating that social networks are important for younger but not for older speakers. At the same time, the network index in this paper has several drawbacks that are detailed in the Limitations section. Regional effects were predicted by the model as hypothesized, with an increasing probability for -ene plurals from west to northeast, sharply contrasting with the southwestern region, where speakers were predicted to produce virtually no -ene plurals. This result can be explained largely by the formal constraints outlined previously, that is, the already existing number opposition in the Southwest impeding the establishment of a novel marker.

Regarding between-item variation, the fact that Thema ‘topic’ took the -ene suffix most often was somewhat surprising, given the fact that neuter nouns have only played a peripheral role in the literature. In addition, number opposition could be accomplished by a word-final vowel change in all dialects (Thema - Theme), and adding the -ene suffix might seem a rather unnecessary complication. It is, however, worth noting that the Standard German plural of Thema is Themen, and the singular -a is not treated as part of the root. Hence, this finding could also be taken as a particular instance of standard convergence. Additionally, a frequency effect might be at play with Thema constituting the most frequent among the five items (6/7, see Table 1). As for the potential competition between -ene and -s plurals in loanwords, our finding may be interpreted as contradicting Klein and Kopf (Reference Klein and Kopf2019). Apart from their smaller sample and the data collection mode, this might, however, be explained by intralinguistic features (for instance, Klein and Kopf [Reference Klein and Kopf2019:45-46] reported high between-item variation with two particular lexemes exhibiting comparatively high -ene proportions, and they did not integrate abstract nouns). To gain further insights though, a more detailed examination of a series of similar loanwords would be needed.Footnote 7

In relation to the argument of morphological differentiation, the -ene proportions in Brügg ‘bridge’ were also higher than expected, since opposition is accomplished with the apocopied singular form in most dialects (Brügg - Brügge). Besides its high frequency (see Table 1), this could be explained by the trend toward greater explicitness as discussed in Klein and Kopf (Reference Klein and Kopf2019:32-35, 46), with the more complex -ene extending the simple schwa.

The other three items (Sohle, Tanne, Rose) were expected to behave somewhat more similarly since all of them are disyllabic feminine nouns with traditional zero plurals. Reasons for variation might be morphophonemic or semantic (e.g., gemination in Tanne versus Tane in some dialects, where the realization of the plural Tanene seems phonotactically challenging; or Rose, which might refer to both a single flower and a whole bush, thus considered as a plurale tantum). However, since such intralinguistic effects were not the core concern of the present study, these are rather speculative interpretations.

Personality traits and their effects on language change

Regarding overall distributions of the three personality traits, our results were within the expected range. The minor age-related differences in extraversion were probably related to items encompassing social activities (e.g., being active in many clubs), which are expected to be more frequent among younger speakers. Further, contrary to what Ebert et al. (Reference Ebert, Gebauer, Brenner, Bleidorn, Gosling, Potter and Rentfrow2022) suggested for the US, our distributions seemed not to be patterned spatially.

In terms of how personality mediates the diffusion of -ene plurals, openness did not emerge as a distinctive characteristic of innovative speakers in our data. Based on the assumption that more curious, excitable, and unconventional speakers lead language change, the empirical negligibility of this effect seems somewhat surprising. However, a closer inspection reveals that curiosity and excitableness account only partly for this trait, while other characteristics are instead related to intellectuality and engagement with art, culture, and science (see Table 2), that is, aspects that seem rather independent from linguistic innovation.

In contrast to the null result in Tamminga (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021), our models indicated a positive trend for extraversion, which was somewhat disrupted by the control variables and by an outlier. With these restrictions in mind, the detected trend corroborates findings from Denis (Reference Denis2011) on gregariousness and implies that more outgoing, sociable, and enthusiastic speakers are more likely to show innovative morphosyntactic behavior. As already mentioned, related to Denis’ (Reference Denis2011) assessment of gregariousness, extraversion can be seen as the personality trait most closely connected to social factors. Extraverted speakers are said to be highly sociable and well connected. Hence, innovative behavior of their peers might influence these speakers, and they might adopt new forms more rapidly. On the other hand, extraverted speakers might be the leaders themselves, who introduce and spread innovative forms with their ability to influence others due to their assertiveness and self-confidence (see also Yu, Reference Yu and Yu2013:203). In this context, similar to Cheshire et al. (Reference Cheshire, Fox, Kerswill and Torgersen2008), Eckert's (Reference Eckert2000) concept of brokering can be useful for interpreting the reasons why extraverted speakers can act as change leaders: These speakers may manage to act as successful brokers by exerting influence on various social groups, and thus fostering innovation diffusion by transmitting them from group to group.

The most crucial effect in our data was revealed for conscientiousness. This effect remained robust across both models, and it emerged as the trait due to which the adopter categories could be distinguished most clearly. Our analyses suggested a negative association between conscientiousness and innovative behavior related to the novel plural forms, corresponding to the trend detected in Yu et al. (Reference Yu, Abrego-Collier and Sonderegger2013). A closer inspection of the construct reveals that this finding may be explained by two sets of characteristics associated with conscientiousness, which might mediate the speakers’ linguistic behavior. First, conscientious individuals are order-loving, precise, and diligent, accomplishing their tasks systematically and with prudence (see questionnaire items in Table 2; McCrae & Costa, Reference McCrae and Costa1987:85). This accuracy and systematicity potentially contributes to a more rigid monitoring of their own and others’ linguistic behavior, especially with regard to a highly salient marker such as the -ene suffix. Second, they are people who stick to their principles, who make sure that rules are followed and who dislike sloppiness. Based on these characteristics, it is not surprising that conscientiousness has recurrently been associated with conservatism (see Xu, Soto, & Plaks, Reference Xu, Soto and Plaks2021 for a study in the political domain). Combined with enhanced monitoring, this conservatism might manifest itself on a linguistic level: The novel -ene forms may be disruptive for these speakers, and they might be reluctant in taking them up, thus reinforcing conventional linguistic norms. In contrast, the low-conscientious innovators might be more progressive and pay less attention to their own and others’ speech, thus taking up novel forms more rapidly. Drawing on this latter explanation, low-conscientious speakers may be characterized as loaners rather than leaders, adopting new forms in a relatively subconscious manner.

The question remains as to why we detected these intriguing effects for conscientiousness and extraversion, while other studies that assessed these traits similarly, such as Tamminga (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021) or Yu et al. (Reference Yu, Abrego-Collier and Sonderegger2013), did not. A possible explanation for the diverging results is that the effects depend on the linguistic phenomenon under scrutiny. Tamminga's (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021:271) vowel sets were long-term changes that have been investigated since Labov's early work in Philadelphia, whereas -ene plurals in Swiss German are a particular phenomenon that only emerged recently. Yu et al. (Reference Yu, Abrego-Collier and Sonderegger2013) deviated even further from the present study in terms of their dependent variable, since they focused on phonetic imitation. Based on the diverging results, conscientiousness might be interpreted as a factor impeding the general adoption of linguistic innovations rather than mediating short-term accommodation at the microlevel of phonetic imitation. Besides the linguistic variable of interest, the overall sociolinguistic situation might play a role, with the high status of dialects in German-speaking Switzerland fostering personality effects on linguistic behavior. A final reason as to why we identified these effects relates to innovative individuals constituting only a small fraction of the population who, in Labovian terms, sociolinguistically stand out in sharp contrast to their peers (Labov, Reference Labov2001:384). While Tamminga (Reference Tamminga, Van de Velde, Hilton and Knooihuizen2021, n = 56) and Yu et al. (Reference Yu, Abrego-Collier and Sonderegger2013, n = 93) had much smaller and homogeneous samples, our data may have enabled us to identify this small group of speakers who were ahead of their peers in terms of their innovative linguistic behavior.

Limitations

One limitation of this study is related to the general design of the SDATS project. Due to the large sample size and the main goal of investigating language change as broadly as possible, the SDATS project was limited concerning the depth at which individual phenomena could be investigated, resulting in only five -ene plural tokens. This number should be increased, especially if intralinguistic influences are to be examined in more detail. Additionally, the focus on isolated items may be problematic, since it ignores the social context in which the forms may be uttered and the social meaning attached to them (Moore, Reference Moore, Beaman, Buchstaller, Fox and Walker2020). An analysis of spontaneous speech interaction data would be needed to reveal the pragmatic functions and potential social meaning of morphological markers such as -ene plurals, for example, that this greater explicitness in expression is connected to stronger emphasis of certain social aspects.

Second, the social network index is related to several drawbacks. While this metric was compiled in terms of comparability in a large speaker sample and usability as a predictor in statistical modeling, it only reveals a fraction of social networks. It is egocentric in nature, capturing only the three closest ties; we can only assume that speakers reporting closer ties are part of denser networks (see Sharma, Reference Sharma2017, for a critical discussion). In addition, since it encompasses private contacts only, we cannot account for multiplexity. We believe, however, that a more detailed analysis of social networks and their intertwining with personality traits may be crucial for further research, since this could not only sharpen understanding of the intersection between personal and social factors, but it could also help find answers to the core question of whether it is the peripheral, unconventional speakers with loose ties or the centrally connected, assertive speakers who lead language change.

Third, linguistic innovativeness in this paper needs to be critically evaluated. As explained in the introduction, -ene plurals were chosen due to the unique opportunity to investigate a phenomenon in its early stages of diffusion, allowing the identification of speakers who are linguistically ahead of others. At the same time, it is important to bear in mind that speakers innovating in the domain of -ene plurals might not necessarily innovate in other domains. Investigations of further phenomena would be needed to test whether our identified innovative behavior is restricted to this very phenomenon or if our innovators prove to be general leaders. In addition, it is perhaps in the nature of things that the most interesting speakers make up the smallest proportions of the sample (i.e., n innovators = 33 and n early adopters = 135), which further limits the scope and certainty of the findings.

Conclusion

The present study examined potential effects of conscientiousness, extraversion, and openness on an ongoing linguistic change in German-speaking Switzerland. Our findings highlight the complex and multifaceted nature of innovation diffusion and reveal that personality traits might have been unjustly neglected in the empirical study of language variation and change. Our results seem to approach the idea of the saccadic leaders in the Labovian sense (Labov, Reference Labov2001:383), with the comparatively small group of innovative speakers standing out from their peers in terms of their personality. More specifically, innovative behavior was shown to be associated with low conscientiousness and—to a certain degree—high extraversion, while openness was distributed more evenly across adopter categories. Drawing on characteristics associated with the constructs discussed, we further speculate that low-conscientious speakers might rather be loaners, while highly extraverted speakers with their successful brokering strategies could act as leaders in transmitting innovations from one social group to another.

We believe that these insights can contribute to a better understanding of the connection between personality and language change. The present study is only a first step, limited by its focus on one particular phenomenon and by its questionnaire-based assessment of personality traits. In addition, great potential may lie in a more rigorous examination of the intertwining of personality and social networks in relation to their influence on language variation and change. Nevertheless, the finding that, besides age and region, the traits of conscientiousness and extraversion were the most important predictors in our models urgently calls for a more serious consideration of such effects in future studies.

Acknowledgments

This study was funded by the Swiss National Science Foundation grant no. 181090. We thank Melanie Studerus, Jan Messerli, Linus Oberholzer, Jonathan Blum, Lara Grunder, Michelle Käch, Corinne Lanthemann, Thea Masero, Laura Müller, Janka Szücs, Manuela Troxler, Nina von Allmen, and Jessica Wagner for their help with data collection.

Competing interests

The authors declare none.

Footnotes

1 Landolt (Reference Landolt, Christen, Germann, Haas, Montefiori and Ruef2010:105) further speculated about potential -ene plurals in monosyllabic masculine nouns. However, this seems to be a highly exceptional phenomenon, and it did not occur in any of the three corresponding lexemes elicited in SDATS.

2 Note, however, that only a few items in Klein and Kopf's (Reference Klein and Kopf2019) study could take the -ene plural, and large between-item variation was observed.

3 See Jeszenszky, Steiner, and Leemann (Reference Jeszenszky, Steiner and Leemann2021) for details on the survey site selection.

4 Note that the sample size in both models varies slightly due to missing data of six speakers (n unadjused model = 999; n fully adjusted model = 994).

5 The few cases of zero plurals in Brügg refer to nonapocopied singulars, as in Brügge - Brügge.

6 As a very young student, this speaker might have been influenced by a linguistically progressive environment at school and might have adopted this innovation early despite his conservative background. Unfortunately, our quantitative data only allows us to speculate about such influences.

7 Consider Firma - Firmene ‘company,’ for which anecdotal instances have not only been documented in Switzerland (e.g., Nübling, Reference Nübling2008:318) but also in the Highest Alemannic area in Austria (DiÖ, 2022).

References

Andresen, Liv. (2015). Persönlichkeitsspezifische Sprachvariation: eine empirische Untersuchung zum Zusammenhang von Extraversion und Nähesprachlichkeit. Olms: Georg.Google Scholar
Azucar, Danny, Marengo, Davide, & Settanni, Michele. (2018). Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis. Personality and individual differences 124:150–59.CrossRefGoogle Scholar
Bates, Douglas, Maechler, Martin, Bolker, Ben, & Walker, Steve. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1):148.CrossRefGoogle Scholar
Berthele, Raphael. (2004). Vor lauter Linguisten die Sprache nicht mehr sehen – Diglossie und Ideologie in der deutschsprachigen Schweiz. In Christen, H. (ed.), Dialekt, Regiolekt und Standardsprache im sozialen und zeitlichen Raum. Beiträge zum 1. Kongress der Internationalen Gesellschaft für Dialektologie des Deutschen. Wien: Edition Praesens. 111–36.Google Scholar
Birdsong, David, Gertken, Libby M., & Amengual, Mark. (2022). Bilingual language profile: An easy-to-use instrument to assess bilingualism. Center for Open Educational Resources and Language Learning, University of Texas Austin. https://sites.la.utexas.edu/bilingual/.Google Scholar
Boyd, Ryan, & Pennebaker, James W. (2017). Language-based personality: a new approach to personality in a digital world. Current Opinion in Behavioral Sciences 18:6368.CrossRefGoogle Scholar
Caplan, Jennifer E., Adams, Kiki, & Boyd, Ryan L. (2020). Personality and language. In Carducci, B. & Nave, C. S. (eds.), The Wiley encyclopedia of personality and individual differences. Hoboken, NJ: John Wiley & Sons. 311–16.Google Scholar
Catillaz, Josef. (1982). Der Gebrauch der Pluralendungen -eni und -ene im Senslerdeutschen unter dem Gesichtspunkt des Sprachwandels. Variationslinguistik und Dialektologie. Ergebnisse aus studienabschliessenden Arbeiten an der Universität Freiburg/Schweiz. Freiburg: Universitätsverlag Freiburg Schweiz. 2533.Google Scholar
Cheshire, Jenny, Fox, Susan, Kerswill, Paul, & Torgersen, Eivind. (2008). Ethnicity, friendship network and social practices as the motor of dialect change: Linguistic innovation in London. Sociolinguistica 22(1):123.CrossRefGoogle Scholar
Christen, Helen. (1997). Koiné-Tendenzen im Schweizerdeutschen? In Stickel, G. (ed.), Varietäten des Deutschen. Regional- und Umgangssprachen. Berlin: De Gruyter. 346–63.Google Scholar
Christen, Helen. (1998). Convergence and divergence in the Swiss German dialects. Folia Linguistica 32(1–2): 5368.Google Scholar
Cohen, Alex S., Minor, Kyle S., Baillie, Lauren E., & Dahir, Amanda M. (2008). Clarifying the linguistic signature: Measuring personality from natural speech. Journal of Personality Assessment 90(6):559–63.CrossRefGoogle ScholarPubMed
Denis, Derek. (2011). Innovators and innovation: Tracking the innovators of and stuff in York English. University of Pennsylvania Working Papers in Linguistics 17(2):8.Google Scholar
DiÖ = Deutsch in Österreich. (2022). Variation – Kontakt – Perzeption (SFB DiÖ, FWF-F60). Teilprojekt PP03. https://www.dioe.at/.Google Scholar
Dimov, Svetlin, Shira, Katseff, & Johnson, Keith. (2012). Social and personality variables in compensation for altered auditory feedback. In Solé, M.-J. & Recasens, D. (eds.), The initiation of sound change: Perception, production, and social factors. Amsterdam: John Benjamins. 185210.CrossRefGoogle Scholar
DWDS = Berlin-Brandenburgischen Akademie der Wissenschaften (ed.). (2022). DWDS – Digitales Wörterbuch der deutschen Sprache. Das Wortauskunftssystem zur deutschen Sprache in Geschichte und Gegenwart. https://www.dwds.de/.Google Scholar
Ebert, Tobias, Gebauer, Jochen E., Brenner, Thomas, Bleidorn, Wiebke, Gosling, Samuel D., Potter, Jeff, & Rentfrow, P. Jason. (2022). Are regional differences in psychological characteristics and their correlates robust? Applying spatial-analysis techniques to examine regional variation in personality. Perspectives on Psychological Science 17(2):407–41.CrossRefGoogle ScholarPubMed
Eckert, Penelope. (2000). Linguistic variation as social practice: The linguistic construction of identity in Belten High. Malden, MA: Blackwell.Google Scholar
FSO = Federal Statistical Office. (2019). Swiss Labour Force Survey (SLFS) 2019. www.slfs.bfs.admin.ch.Google Scholar
Goldberg, Lewis R. (1993). The structure of phenotypic personality traits. American Psychologist 48(1):2634.CrossRefGoogle ScholarPubMed
Graf, Martin Hannes. (2015). Frisst das Pfärd jetzt Kartoffle? Aktuelle Tendenzen des Sprachwandels im Schweizerdeutschen. Sprachspiegel 2015(3):6677.Google Scholar
Hirsh, Jacob B., & Peterson, Jordan B. (2009). Personality and language use in self-narratives. Journal of Research in Personality 43(3):524–27.CrossRefGoogle Scholar
Hotzenköcherle, Rudolf. (1984). Die Sprachlandschaften der deutschen Schweiz. Salzburg: Sauerländer.Google Scholar
SDS = Hotzenköcherle, Rudolf, & Baumgartner, Heinrich. (1962–2003). Sprachatlas der deutschen Schweiz. Bern: Francke (Vols. 1–6); Basel: Francke (Vols. 7, 8).Google Scholar
SDS III = Hotzenköcherle, Rudolf, & Baumgartner, Heinrich. (1975). Sprachatlas der deutschen Schweiz. Band III. Formengeographie. Bern: Francke.Google Scholar
Jeszenszky, Péter, Steiner, Carina, & Leemann, Adrian. (2021). Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering. Frontiers in Artificial Intelligence 4: 642505. https://doi.org/10.3389/frai.2021.642505.CrossRefGoogle ScholarPubMed
Jeszenszky, Péter, Steiner, Carina, & Leemann, Adrian (in review). Effects of mobility on dialect change: Introducing the Linguistic Mobility Index.Google Scholar
Kahle, David, & Wickham, Hadley. (2013). ggmap: Spatial visualization with ggplot2. The R Journal 5(1):144–61.CrossRefGoogle Scholar
Klein, Andreas, & Kopf, Kristin. (2019). Der s-Plural im Alemannischen. Linguistik Online 98(5):3149.CrossRefGoogle Scholar
Köpcke, Klaus-Michael. (1988). Schemas in German plural formation. Lingua 74:303–35.CrossRefGoogle Scholar
Köpcke, Klaus-Michael. (1993). Schemata bei der Pluralbildung im Deutschen. Versuch einer kognitiven Morphologie. Tübingen: Narr.Google Scholar
Kopf, Kristin. (2014). D'Audo, d'Keffer, d'Kuchine: alemannische Substantivmorphologie am Beispiel des Schuttertäler Ortsdialekts. Zeitschrift für Dialektologie und Linguistik / Beihefte. Alemannische Dialektologie: Dialekte im Kontakt. Beiträge zur 17. Arbeitstagung für alemannische Dialektologie in Straßburg vom 26.-28.10.2011 155:201–13.Google Scholar
Labov, William. (2001). Principles of linguistic change. Volume 2. Social factors. Oxford: Blackwell.Google Scholar
Labov, William. (2018). The role of the Avant Garde in linguistic diffusion. Language Variation and Change 30(1):121.CrossRefGoogle Scholar
Landolt, Christoph. (2010). Dialektale Morphologie und Morphonologie im Wandel – Beispiel Zürichdeutsch. In Christen, H., Germann, S., Haas, W., Montefiori, N. & Ruef, H. (eds.), Alemannische Dialektologie: Wege in die Zukunft. Beiträge zur 16. Tagung für alemannische Dialektologie in Freiburg/Fribourg vom 07.–10. 09. 2008 (ZDL Beiheft 141). Stuttgart: Franz Steiner. 97113.Google Scholar
Leemann, Adrian, Jeszenszky, Péter, Steiner, Carina, Messerli, Jan, & Studerus, Melanie. (2020a). Linguistic fieldwork in a pandemic: Supervised data collection combining smartphone recordings and videoconferencing. Linguistics Vanguard 6(3): 20200061. https://doi.org/10.1515/lingvan-2020-0061.CrossRefGoogle Scholar
Leemann, Adrian, Jeszenszky, Péter, Steiner, Carina, Messerli, Jan, & Studerus, Melanie. (2020b). SDATS Corpus – Swiss German dialects across time and space. (osf.io/s9z4q).Google Scholar
Marti, Werner. (1985). Berndeutsch-Grammatik für die heutige Mundart zwischen Thun und Jura. Bern: Francke.Google Scholar
McCrae, Robert R., & Costa, Paul T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology 52(1):8190.CrossRefGoogle ScholarPubMed
McCrae, Robert R., & John, Oliver P. (1992). An introduction to the five-factor model and its applications. Journal of Personality 60(2):175215.CrossRefGoogle Scholar
Moore, Emma. (2020). The role of syntax in the study of sociolinguistic meaning: Evidence from an analysis of right dislocation. In Beaman, K., Buchstaller, I., Fox, S. & Walker, J. (eds.), Advancing Socio-grammatical Variation and Change. New York: Routledge. 7390.CrossRefGoogle Scholar
Nickel, Grit, & Werth, Alexander. (2022). Zwischen ungebändigter Allomorphie und gesteuertem Deklinationsklassenwandel. Intra- und inter-individuelle Variation in der Pluralmarkierung bayerischer und thüringischer Dialekte. In Vergeiner, P., Elspaß, S. & Wallner, D. (eds.): Struktur von Variation zwischen Individuum und Gesellschaft. Tagungsband zur 14. Bayerisch-Österreichischen Dialektologentagung. Stuttgart: Franz Steiner. 81102.Google Scholar
Nübling, Damaris. (2008). Was tun mit Flexionsklassen? Deklinationsklassen und ihr Wandel im Deutschen und seinen Dialekten. Zeitschrift für Dialektologie und Linguistik 75(3):282330.CrossRefGoogle Scholar
Park, Gregory, Schwartz, H. Andrew, Eichstaedt, Johannes C., Kern, Margaret L., Kosinski, Michal, Stillwell, David J., Ungar, Lyle H., & Seligman, Martin E. P. (2014). Automatic personality assessment through social media language. Journal of Personality and Social Psychology (3):934–52.Google Scholar
Pennebaker, James W., & Graybeal, Anna. (2001). Patterns of natural language use: Disclosure, personality, and social integration. Current Directions in Psychological Science 10(3):9093.CrossRefGoogle Scholar
Pennebaker, James W., & King, Laura A. (1999). Linguistic styles: Language use as an individual difference. Journal of Personality and Social Psychology 77(6):12961312.CrossRefGoogle ScholarPubMed
R Core Team. (2022). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org/.Google Scholar
Rogers, Everett M. (2017). Diffusion of innovations. Third Edition. New York: The Free Press.Google Scholar
Rowley, Anthony R. (1997). Morphologische Systeme der nordostbayerischen Mundarten in ihrer sprachgeographischen Verflechtung. Stuttgart: Franz Steiner.Google Scholar
Satow, Lars. (2012). Big-Five Persönlichkeitstest (B5T): Test- und Skalendokumentation. https://www.drsatow.de/.Google Scholar
SERI = State Secretariat for Education, Research and Innovation. (2019). Swiss Education System. https://www.sbfi.admin.ch/sbfi/en/home/education/swiss-education-area/swiss-education-system.html.Google Scholar
Sharma, Devyani. (2017). Scalar effects of social networks on language variation. Language Variation and Change 29:393418.CrossRefGoogle Scholar
Steiner, Carina, Jeszenszky, Péter, & Leemann, Adrian. (2022). Variation and change in Swiss German agreement morphology: Effects of social networks, language contact, and attitudes. Journal of Linguistic Geography. 117.Google Scholar
Stuart-Smith, Jane, & Timmins, Claire. (2010). The role of the individual in language variation and change. In Llamas, C. & Watt, D. (eds.), Language and identities. Edinburgh: Edinburgh University Press. 3954.CrossRefGoogle Scholar
Studler, Rebekka. (2013). Einstellungen zu Standarddeutsch und Dialekt in der Deutschschweiz. Erste Ergebnisse einer Fragebogenstudie. In Hettler, Y., Jürgens, C., Langhanke, R. & Purschke, C. (eds.), Variation, Wandel, Wissen: Studien zum Hochdeutschen und Niederdeutschen. Frankfurt am Main: Lang. 201–20.Google Scholar
Studler, Rebekka. (2017). Cognitive cultural models at work: The case of German-speaking Switzerland. Yearbook of the German Cognitive Linguistics Association 5(1):101–14.CrossRefGoogle Scholar
Szadrowsky, Manfred. (1933). Abstrakta des Schweizerdeutschen in ihrer Sinnentfaltung. Frauenfeld: Huber.Google Scholar
Tamminga, Meredith. (2021). Leaders of language change: Macro and micro perspectives. In Van de Velde, H., Hilton, N. Haug & Knooihuizen, R. (eds.), Language Variation – European Perspectives VIII. Amsterdam: John Benjamins. 270–89.Google Scholar
Tausczik, Yla R., & Pennebaker, James W. (2010). The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29(1):2454.CrossRefGoogle Scholar
Weber, Albert. (1948). Zürichdeutsche Grammatik: ein Wegweiser zur guten Mundart. Vol. 1. Zürich: Schweizer Spiegel Verlag.Google Scholar
Welkowitz, Joan, & Feldstein, Stanley. (1969). Dyadic interaction and induced differences in perceived similarity. Proceedings of the Annual Convention of the American Psychological Association 4(Pt. 1):343–44.Google Scholar
Welkowitz, Joan, Feldstein, Stanley, Finkelstein, Mark, & Aylesworth, Lawrence. (1972). Changes in vocal intensity as a function of interspeaker influence. Perceptual and Motor Skills 35:715–18.CrossRefGoogle Scholar
Wenger, Etienne. (1998). Communities of practice: Learning meaning and identity. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Wood, Simon, & Scheipl, Fabian. (2020). gamm4: Generalized Additive Mixed Models using “mgcv” and “lme4.” R package version 0.2-6. https://CRAN. R-project. org/package=gamm4.Google Scholar
Xu, Xiaowen, Soto, Christopher J., & Plaks, Jason E. (2021). Beyond openness to experience and conscientiousness: Testing links between lower-level personality traits and American political orientation. Journal of Personality 89(4):754–73.CrossRefGoogle ScholarPubMed
Yu, Alan C. L. (2013). Individual differences in socio-cognitive processing and the actuation of sound change. In Yu, A. (ed.), Origins of sound change: Approaches to phonologization. Oxford: Oxford University Press. 201–27.CrossRefGoogle Scholar
Yu, Alan C. L., Abrego-Collier, Carissa, & Sonderegger, Morgan. (2013). Phonetic imitation from an individual-difference perspective: Subjective attitude, personality and “autistic” traits. PloS one 8(9):e74746.Google ScholarPubMed
Figure 0

Figure 1. Innovation diffusion curve with adopter categorization according to Rogers (2017:247).

Figure 1

Table 1. -ene plural items (frequency is indicated on an index from 1 = rare to 7 = frequent, see https://www.dwds.de/d/worthaeufigkeit for details)

Figure 2

Figure 2. Illustration of the two consecutive prompts for the elicitation of Tanne ‘fir’ in singular (left: “What do you call this tree?”) and plural (right: “What do you call these trees?”).

Figure 3

Figure 3. Dialect regions according to Hotzenköcherle (1984). CH = Switzerland.

Figure 4

Table 2. Big Five items related to conscientiousness, extraversion, and openness

Figure 5

Table 3. Structure of control variables added to the fully adjusted mixed effects model

Figure 6

Figure 4. Predicted spatial distribution of -ene plural probability in the older (left) and younger (right) SDATS cohort.

Figure 7

Figure 5. Proportional distribution of plural formation types in the older (top) and younger cohort (bottom). Sg = singular.

Figure 8

Table 4. -ene plurals versus dominant traditional plural forms across age cohorts

Figure 9

Figure 6. Effect plots for conscientiousness, extraversion, and openness.The output from the fully adjusted model is displayed in Table 6 along with effect plots in Figure 7.

Figure 10

Table 5. Fixed effects of the unadjusted model (total n = 4995)

Figure 11

Table 6. Fixed effects of the fully adjusted model (total n = 4970)

Figure 12

Figure 7. Effect plots for personality traits (top row), region (bottom left), and Age*SNI (bottom right).

Figure 13

Figure 8. Speaker assignment to adopter categories based on the number of -ene plurals produced.

Figure 14

Figure 9. Conscientiousness and extraversion across adopter groups.