NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Development of Social Media Addiction Test (SMAT17)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Esgi, Necmi – Journal of Education and Training Studies, 2016
The aim of this study was to develop a test for assessing individuals' social media addiction; and conducting a reliability and validity study of this scale. Sample for this study was composed of 285 college students between the ages of 18 and 25. Reliability coefficients Cronbach's alpha value was 0.94 and Spearman Brown value was 0.91 for our…
Descriptors: Social Media, Test Reliability, Test Validity, Addictive Behavior
Exploratory Factor Analysis with Small Sample Sizes
Peer reviewed Peer reviewed
Direct linkDirect link
de Winter, J. C. F.; Dodou, D.; Wieringa, P. A. – Multivariate Behavioral Research, 2009
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
Descriptors: Sample Size, Factor Analysis, Enrollment, Evaluation Methods
A Comparison of Five Rules for Determining the Number of Components in Data Sets.
PDF pending restoration PDF pending restoration
Zwick, William R.; Velicer, Wayne F. – 1984
A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…
Descriptors: Behavioral Science Research, Comparative Analysis, Correlation, Data Interpretation