Analyzing Category Clustering in Free Recall Using an SPSS Program

Analyzing Category Clustering in Free Recall Using an SPSS Program

This article describes an SPSS program that computes four common clustering measures used to analyze free recall of information from categorized lists. This program computes Cohen, Sakoda, and Bousfield's ratio of repetition (RR), Wallace and Underwood's modified ratio of repetition (MRR),...

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Veröffentlicht in:Educational and psychological measurement 1997-10, Vol.57 (5), p.879-884
Hauptverfasser: Kazen, Joseph K., Otani, Hajime
Format: Artikel
Sprache:eng
Schlagworte:
Analysis
Biological and medical sciences
Category Clustering Procedure
Classification
Cluster Analysis
Computer processing
Computer Software
Educational tests and measurements
Examinations
Fundamental and applied biological sciences. Psychology
Human
Learning. Memory
Memory
Numbers
Program Descriptions
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics
Psychometrics. Statistics. Methodology
Recall (Psychology)
Repetition
Resistance (Psychology)
Social Science Research
Software
Statistical Package for the Social Sciences
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Beschreibung
Zusammenfassung:This article describes an SPSS program that computes four common clustering measures used to analyze free recall of information from categorized lists. This program computes Cohen, Sakoda, and Bousfield's ratio of repetition (RR), Wallace and Underwood's modified ratio of repetition (MRR), Roenker, Thompson, and Brown's adjusted ratio of clustering (ARC), and Bousfield and Bousfield's deviation score (DS) for stimulus lists with an unlimited number of categories and items per category.
ISSN:0013-1644
1552-3888
DOI:10.1177/0013164497057005013