Stalikas, A., Kyriazos, T. A., Yotsidi, V., & Prassa, K. (2018). Using Bifactor EFA, Bifactor CFA and Exploratory Structural Equation Modeling to Validate Factor Structure of the Meaning in Life Questionnaire, Greek Version. Psychology, 9, 348-371.
https://doi.org/10.4236/psych.2018.93022

has been cited by the following article:

• TITLE: Applied Psychometrics: Writing-Up a Factor Analysis Construct Validation Study with Examples

  AUTHORS: Theodoros A. Kyriazos

  KEYWORDS: Write-Up, Factor Analysis, Latent Variable Models, EFA with Goodness of Fit Indices, Construct Validation across Cultures

  JOURNAL NAME: Psychology, Vol.9 No.11, October 23, 2018

  ABSTRACT: Factor analysis is carried out to psychometrically evaluate measurement instruments with multiple items like questionnaires or ability tests. EFA and CFA are widely used in measurement applications for construct validation and scale refinement. One of the more critical aspects of any CFA or EFA is communicating results. This work described reporting essentials of EFA with goodness of fit indices and CFA research when they are used to validate a measurement instrument with continuous variables in a different population from the one originally created. An overview of the minimum information to be reported is included along with short extracts from real published reports. For each reported section basic information to be included is described along with an example-extract adapted from published factor analysis construct validation studies. Additional issues covered include: Cross-validation, Measurement Invariance across Age and Gender, Reliability (α and ω), AVE-Based Validity, Convergent and Discriminant Validity with Correlation Analysis and Normative Data. Properly reported EFA and CFA could contribute to the improvement of the quality of the measurement instruments. A summary of good practices in CFA and SEM reporting based on literature is also included.