Introduction to Special Issue: Data Analytic Methods in Group Psychology and Group Psychotherapy

被引:0
|
作者
Kivlighan III, Martin [1 ,3 ]
Miles, Joseph R. [2 ]
机构
[1] Univ Iowa, Dept Psychol & Quantitat Fdn, Iowa City, IA USA
[2] Univ Tennessee, Dept Psychol, Knoxville, TN USA
[3] Univ Iowa, Dept Psychol & Quantitat Fdn, 240 N Madison St, Iowa City, IA 52242 USA
关键词
small group research; computer-aided text analysis; driver-empath model; location-scale model; response surface analysis;
D O I
10.1037/gdn0000206
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Objective: This article introduces the special issue on data analytic methods in group psychology and group psychotherapy. Method: A call was issued for a special issue on data analytic methods in small group research, inviting both quantitative and qualitative methodologies. The focus was to be specifically on conceptual issues that are addressed by the data analytic method and on its practical applications. Results: The resulting special issue contains five articles on group data analytic methods at the forefront of group psychology and group psychotherapy research. Articles in this issue cover a broad range of data analytic techniques that take into account the complex nature of group data, including polynomial regression and response surface methodology, the driver-empath model, Linguistic Inquiry and Word Count (LIWC), and the use of a three-level location-scale model. Conclusion: The articles in this special issue aim to further small group research and introduce group researchers to innovative techniques for understanding the complex nature of groups.
引用
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页码:151 / 153
页数:3
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