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Analyzing Category Clustering in Free Recall Using an SPSS Program

Bibliographic Data

ID20286237
AuthorsJoseph K Kazen (Central Michigan University), H Otani (0000-0002-2347-8715, Central Michigan University)
Year1997
Volume57
Issue5
Pages879-884
Publication date1997-10-01
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164497057005013
OpenAlexW2045081104
LanguageEN
Citations received1
References cited8

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

Cluster analysis · Cognitive psychology · Free recall · Recall · Repetition (rhetorical device) · Statistics · Advanced Text Analysis Techniques · Intelligent Tutoring Systems and Adaptive Learning · Mathematics · Psychology · Psychometric Methodologies and Testing

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    Open Access•A K Bousfield, W A Bousfield•Psychological Reports•1966

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Citations per year0.06
Citation span2008 - 2008 (1)
Highly citedNo

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