Confirmatory Factor Analysis for Applied Research
By Timothy A. Brown. 2006
11,904 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/76db817142cf185c529b1703fd3ac85bf11c50d6
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In Experimental and Cognitive Psychology
- Paul J Silvia
- Alexandre J. S. Morin
- Maciej Karwowski
- Herbert W. Marsh
- Sacha Epskamp
- James C. Kaufman
- R. Beghetto
- Denny Borsboom
Citations in the corpus
- Conceptualization and Initial Validation of the College Student Mentoring Scale (CSMS) (2009, methodology): “Standardized residuals with values greater than 2.58 (i.e., p < .001) were considered outside of the appropriate range (Brown, 2006; Byrne, 2001).”
- Reliability and validity of the Turkish Version of the UCLA Loneliness Scale (ULS-8) among university students (2011, methodology): “The UCLA Loneliness Scale is one of the most frequently used scales for the measurement of loneliness. It was originally presented by Russel, Peplau and Ferguson (1978) and then revised and examined in a number of cross-cultural studies for its psychometric properties (Anderson & Malikiosi-Loizos, 1”
- Self-determined motivation for practice in university music students (2016, methodology): “Traditionally, it has been argued that non-significance of chi-square should be met; however, as chi-square indices are inflated by sample sizes and model complexity (number of degrees of freedom), they are more likely to be significant when larger sample sizes are used and when the model has a high”
- Job crafting and job performance: A longitudinal study (2015, background): “Residual correlations between T1 and T3 indicators of the same construct were allowed to account for their dependence (Brown, 2006).”
- Why do you play? The development of the motives for online gaming questionnaire (MOGQ) (2011, methodology): “Given that our first CFA did not provide adequate fit indices, we selected the analytical procedure described by Brown (2006) and used by Brown, White, and Barlow (2005) and Campbell-Sills, Liverant, and Brown (2004).”
- COVID-19 and Teachers’ Somatic Burden, Stress, and Emotional Exhaustion: Examining the Role of Principal Leadership and Workplace Buoyancy (2021, methodology): “For somatic burden, as well as the personality factors, error-adjusted mean scores were estimated with the loading set to 1 and the residual set using the following equation: σ ω h h 2 1 × − ( ) , where σh 2 is the estimated variance and ω h is the reliability estimate of a variable (Brown, 2006).”
- “Do You Even Lift, Bro?” Objectification, Minority Stress, and Body Image Concerns for Sexual Minority Men (2017, methodology): “With this method, a variable’s standardized error is fixed to a value computed based on the measure’s sample variance and internal consistency reliability estimate (Brown, 2006).”
- Measuring public perceptions of the police (2010, background): “Often this results from a singular matrix in which “one or more rows or columns in the matrix are linearly dependent on other rows or columns” (Brown, 2006, p. 187).”
- Development and initial validation of the Life Skills Scale for Sport (2017, background): “A sample size greater than 200 is considered adequate for CFA (e.g., Barrett, 2007; Brown, 2006; Myers, Ahn, & Jin, 2011) and approximates the fiveyear median sample size for correlational studies across the major sport and exercise psychology journals (Schweizer & Furley, 2016).”
- Evaluating the metacognitive awareness inventory using empirical factor-structure evidence (2018, methodology): “…analysis has also been used in metacognition research to examine an instrument’s internal structure even though this technique is more appropriate for discovering a factor structure, such as in the instrument development phase, than for appraising the validity of its scoring inference (Brown 2006).”
- Explicit Evidence on the Import of Implicit Attitudes: The IAT and Immigration Policy Judgments (2010, background): “From a measurement perspective, a latent implicit attitude is theorized to ''cause'' individuals' responses on the IAT, net of measurement error (e.g., Brown 2007).”