Book contents
- The Cambridge Handbook of Group Interaction Analysis
- The Cambridge Handbook of Group Interaction Analysis
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Editors’ Preface
- Organization of This Handbook
- How to Work with This Handbook
- Part I Background and Theory
- Part II Application Areas of Interaction Analysis
- Part III Methodology and Procedures of Interaction Analysis
- Part IV Data Analysis and Data Presentation
- 14 Coding and Counting
- 15 Analysis of Interaction Sequences
- 16 Temporal Patterns in Interactions
- 17 Interdependence in Small Group Discussion
- 18 Coding and Analyzing Multiple Levels
- 19 Introduction to Machine Learning
- 20 TINT
- Part V Coding Schemes for Interaction Research
- Appendix
- Index
- References
18 - Coding and Analyzing Multiple Levels
from Part IV - Data Analysis and Data Presentation
Published online by Cambridge University Press: 19 July 2018
Book contents
- The Cambridge Handbook of Group Interaction Analysis
- The Cambridge Handbook of Group Interaction Analysis
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Contributors
- Editors’ Preface
- Organization of This Handbook
- How to Work with This Handbook
- Part I Background and Theory
- Part II Application Areas of Interaction Analysis
- Part III Methodology and Procedures of Interaction Analysis
- Part IV Data Analysis and Data Presentation
- 14 Coding and Counting
- 15 Analysis of Interaction Sequences
- 16 Temporal Patterns in Interactions
- 17 Interdependence in Small Group Discussion
- 18 Coding and Analyzing Multiple Levels
- 19 Introduction to Machine Learning
- 20 TINT
- Part V Coding Schemes for Interaction Research
- Appendix
- Index
- References
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- The Cambridge Handbook of Group Interaction Analysis , pp. 370 - 386Publisher: Cambridge University PressPrint publication year: 2018
References
Aisenbrey, S., & Fasang, A. E. (2010). New life for old ideas: The “second wave” of sequence analysis: Bringing the “course” back into the life course. Sociological Methods and Research, 38, 420–462. doi:10.1177/0049124109357532CrossRefGoogle Scholar
Arrow, H., McGrath, J. E., & Berdahl, J. L. (2000). Small groups as complex systems: Formation, coordination, development, and adaptation. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Bales, R. F. (1950). Interaction process analysis: A method for the study of small groups. Cambridge, MA: Addison-Wesley.Google Scholar
Bales, R. F., & Strodtbeck, F. L. (1951). Phases in group problem-solving. Journal of Abnormal and Social Psychology, 46, 485–495.CrossRefGoogle ScholarPubMed
Bavelas, J., Black, A., Chovil, N., & Mullett, J. (1990). Equivocal communication. Newbury Park, CA: Sage.Google Scholar
Brzinsky-Fay, C., & Kohler, U. (2010). New developments in sequence analysis. Sociological Methods and Research, 38, 359–364. https://doi.org/10.1177/0049124110363371CrossRefGoogle Scholar
Brzinsky-Fay, C., Kohler, U., & Luniak, M. (2006). Sequence analysis with Stata. Stata Journal, 6, 435–460.CrossRefGoogle Scholar
Butts, C. T. (2008). A relational event framework for social action. Sociological Methodology, 38, 155–200.CrossRefGoogle Scholar
Cornwell, B. (2015). Social sequence analysis: Methods and applications. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Gabadinho, A., Ritschard, G., Müller, N. S., & Studer, M. (2011). Analyzing and visualizing state sequences in R with TraMineR. Journal of Statistical Software, 40, 1–37.CrossRefGoogle Scholar
Gottman, J. M. (1979). Marital interaction: Experimental investigations. New York, NY: Academic Press.Google Scholar
Gouhier, T. C., & Guichard, F. (2014). Synchrony: Quantifying variability in space and time. Methods in Ecology and Evolution, 5, 524–533.CrossRefGoogle Scholar
Hollenstein, T. (2007). State space grids: Analyzing dynamics across development. International Journal of Behavioral Development, 31, 384–396. doi:10.1177/0165025407077765CrossRefGoogle Scholar
Holmes, M., & Poole, M. S. (1991). The longitudinal analysis of interaction. In Montgomery, B. & Duck, S. (Eds.), Studying interpersonal interaction (pp. 286–302). New York, NY: Guilford.Google Scholar
Kashy, D. A., & Kenny, D. A. (2000). The analysis of data from dyads and groups. In Reis, H. T. & Judd, C. M. (Eds.), Handbook of research methods for social psychology. Cambridge, UK: Cambridge University Press.Google Scholar
Klein, K. J., & Kozlowski, S. W. J. (Eds.) (2000). Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions. San Francisco, CA: Jossey-Bass.Google Scholar
Kruskal, J. B. (1983). Sequence comparison. In Sankoff, D. & Kruskal, J. B. (Eds.), Time warps, string edits, and macromolecules: The theory and practice of sequence comparison (pp. 1–21). Reading, MA: Addison-Wesley.Google Scholar
Lewis, M. D., Lamey, A. V., & Douglas, L. (1999). A new dynamic systems method for the analysis of early socioemotional development. Developmental Science, 2, 457–475.CrossRefGoogle Scholar
Meyers, R. A., & Brashers, D. E. (2010). Extending the conversational argument coding scheme: Argument categories, units, and coding procedures. Communication Methods and Measures, 4, 27–45.CrossRefGoogle Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.CrossRefGoogle ScholarPubMed
Murase, T., Asencio, R., DeChurch, L. A., Contractor, N., Mathieu, J. E., & Poole, M. S. (2015, November). The effect of synchronization of group processes on multiteam system effectiveness. Group Communication Division, National Communication Association Conference, Las Vegas, NV.Google Scholar
Pilny, A., Schecter, A., Poole, M. S., & Contractor, N. (2016). An illustration of the relational event model to analyze group interaction processes. Group Dynamics: Theory, Research, and Practice, 20, 181–195. http://dx.doi.org/10.1037/gdn0000042.CrossRefGoogle Scholar
Poole, M. S., & Holmes, M. E. (1995). Decision development in computer-assisted group decision making. Human Communication Research, 22, 90–127.CrossRefGoogle Scholar
Poole, M. S., Lambert, N., Murase, T., Asencio, R., & McDonald, J. (2017). Sequential analysis of processes. In Langley, A. & Tsoukas, H. (Eds.), Sage handbook of process organization studies (pp. 254–270). Beverly Hills, CA: Sage.Google Scholar
Poole, M. S., & Roth, J. (1989). Decision development in small groups IV: A typology of decision paths. Human Communication Research, 15, 323–356.CrossRefGoogle Scholar
Poole, M. S., Van de Ven, A. H., Dooley, K., & Holmes, M. E. (2000). Organizational change and innovation processes: Theory and methods for research. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Rogers, L. E., & Cummings, J. A. (2017). Relational communication control. In VanLear, C. A. & Canary, D. J. (Eds.) Researching interactive communication behavior (pp. 93–106). Thousand Oaks, CA: Sage.Google Scholar
Seibold, D. R., & Weger, H. W. (2017). The conversational argument coding scheme. In VanLear, C. A., & Canary, D. J. (Eds.), Researching interactive communication behavior: A sourcebook of methods and measures (pp. 159–174). Los Angeles, CA: Sage.CrossRefGoogle Scholar
Tschan, F. (1995). Communication enhances small group performance if it conforms to task requirements: The concept of ideal communication cycles. Basic and Applied Social Psychology, 17, 371–393.CrossRefGoogle Scholar
VanLear, C. A., & Canary, D. J. (2017). Researching interactive communication behavior: A sourcebook of methods and measures. Los Angeles, CA: Sage.CrossRefGoogle Scholar
Weick, K. E. (1979). The social psychology of organizing. Reading, UK: Addison-Wesley.Google Scholar
- 1
- Cited by