Analyzing Category Clustering in Free Recall Using An SPSS Program  

Oleh:

Kazen, Joseph K. ; Otani, Hajime

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 57 no. 5 (1997), page 879-884.
Topik: CLUSTERING; software; analysis; memory
Fulltext: 879.pdf (472.63KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This article describes an SPSS program that computes four common clustering measures used to analyses 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 scores (DS) for stimulus lists with an unlimited number of categories and items per category.

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