Exploratory and confirmatory factor analysis of the
By Thatiana H. de Lima. 2017
646 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/570deaeed7146d45eda0f86648380b1c48be441c
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- Caihong R. Li
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Citations in the corpus
- Development and Validation of the Mathematical Resilience Scale (2016, methodology): “The other sample was used to complete a confirmatory factor analysis (CFA) to test the fit of the data to the theoretical structure using Amos 18.0.0 (Arbuckle, 2009; Thompson, 2010).”
- Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “In this context, researchers opine that inadequate sample size would result in decreased generalizability (Kline, 2013).”
- Measuring Undergraduate Students' Engineering Self‐Efficacy: A Validation Study (2016, methodology): “Items were next subjected to exploratory factor analysis (EFA) to determine their factor structure (Field, 2013; Thompson, 2004).”
- Motivational Profiles of Adult Learners (2017, background): “the cutoff criteria based on comparative fit index greater than .90 and root mean square error of approximation less than .10 (Kline, 2013).”
- The Simple View of Reading Across Development: Prediction of Grade 3 Reading Comprehension From Prekindergarten Skills (2018, methodology): “Akaike’s information criterion (AIC) was used to compare competing models: smaller AICs indicate better fit (Kline, 2013) and the chi-square difference test was also used to compare fit of nested models.”