Selected article for: "present study and sample size"
Author: Bouchoucha, Stéphane L.; Moore, Kathleen A.
Title: Factors Influencing Adherence to Standard Precautions Scale: A psychometric validation
  • Document date: 2018_10_26
    • ID: 7qq3svv3_26
    Snippet: Sample size recommendations for principal component analysis (PCA) vary widely from a minimum of 100 cases (Hair, Black, Babin, & Anderson, 2010) to 300 cases (Tabachnick & Fidell, 2013) . Others have focused on the ratio of cases to variables from 3:1, 6:1, up to 20:1; however, Hogarty, Hines, Kromrey, Ferron, and Mumford (2005) found no evidence that these ratios had an effect on factor recovery. The use of statistics, such as the Kaiser-Meyer-.....
    Document: Sample size recommendations for principal component analysis (PCA) vary widely from a minimum of 100 cases (Hair, Black, Babin, & Anderson, 2010) to 300 cases (Tabachnick & Fidell, 2013) . Others have focused on the ratio of cases to variables from 3:1, 6:1, up to 20:1; however, Hogarty, Hines, Kromrey, Ferron, and Mumford (2005) found no evidence that these ratios had an effect on factor recovery. The use of statistics, such as the Kaiser-Meyer-Olkin (KMO) test, Bartlett's test of sphericity, and Cattell's scree test, are often the preferred indicators of the data's suitability for factor analysis (Gorsuch, 1983; Tabachnick & Fidell, 2013) , and these indicators are employed in the present study.

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