The statistical analysis of data from small groups
Bibliographic Data
| ID | 6205539 |
|---|---|
| Authors | D A Kenny (0000-0001-6655-6536, University of Connecticut, corresponding author), Lucia Mannetti (Sapienza University of Rome), Antonio Pierro (0000-0003-3847-2241, Sapienza University of Rome), Stefano Livi (0000-0001-5656-0267, Sapienza University of Rome), Deborah A Kashy (0000-0002-4990-1868, Michigan State University) |
| Year | 2002 |
| Volume | 83 |
| Issue | 1 |
| Pages | 126-137 |
| Publication date | 2002-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Personality and Social Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-3514 • E-ISSN: 1939-1315 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0022-3514.83.1.126 |
| PMID | 12088122 |
| OpenAlex | W2039696809 |
| Language | EN |
| Citations received | 103 |
| References cited | 30 |
The authors elaborate the complications and the opportunities inherent in the statistical analysis of small-group data. They begin by discussing nonindependence of group members' scores and then consider standard methods for the analysis of small-group data and determine that these methods do not take into account this nonindependence. A new method is proposed that uses multilevel modeling and allows for negative nonindependence and mutual influence. Finally, the complications of interactions, different group sizes, and differential effects are considered. The authors strongly urge that the analysis model of data from small-group studies should mirror the psychological processes that generate those data
Econometrics · Group (periodic table · Group analysis · Multilevel model · Statistical analysis · Statistics · Complex Network Analysis Techniques · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social and Intergroup Psychology · Social Psychology
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| Unique citing works | 103 |
|---|---|
| Citations per year | 4,48 |
| Citation span | 2003 - 2026 (24) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 102 |