Use and Interpretation of Factor Analysis in The Journal of Educational Research: 1992-2002
By J. Pohlmann. 2004
143 citations recorded by the source corpus.
Subfields: Education, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/6f26ced76c85998c1d301a1290d6abe62da33f5e
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In Education
- G. Devos
- Herbert W. Ware
- Hester Hulpia
- Anastasia Kitsantas
- Cengiz Şahin
- Frances K. Stage
- M. Yasar Özden
- Hilde Van Keer
In Experimental and Cognitive Psychology
- Anastasia Kitsantas
- Cengiz Şahin
- M. Yasar Özden
- Hilde Van Keer
- Özgen Korkmaz
- Yves Rosseel
- R. Çakır
- James B. Schreiber
Citations in the corpus
- Development and Validation of Scores on the Distributed Leadership Inventory (2009, methodology): “Principal axis factoring with promax rotation (k = 4) was adopted, because no orthogonality across components was assumed (Pohlmann, 2004).”
- Measuring the complexity of upper primary school children’s self-regulated learning: A multi-component approach (2013, methodology): “13 (R Development Core Team, 2013) was used with the 95th percentile as the comparison baseline, and the number of random data sets was 1 000 (Henson & Roberts, 2006; Pohlmann, 2004).”
- Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review (2006, background): “Pohlmann (2004) argued that one could try to collect enough data to randomly split the data in half and estimate the model twice, then compare the results.”
- Social Media Addiction Scale-Student Form: The Reliability and Validity Study. (2018, background): “Confirmatory factor analysis is based on the relationship between observed and unobserved variables (items and factors) that are treated as hypotheses (Pohlmann, 2004).”
- A validity and reliability study of the computational thinking scales (CTS) (2017, methodology): “The confirmatory factor analysis is based on the principle of taking the formulas (items and factors) between the observable and non-observable variables as a hypothesis and testing them (Pohlmann, 2004).”
- Predicting Teacher Commitment Using Principal and Teacher Efficacy Variables: An HLM Approach (2011, methodology): “See Pohlmann (2004) for practices employed in exploratory factor analyses reported in The Journal of Educational Research.”