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Victoria Savalei

Showing results (11-20 of 43) with videos related to

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Frontiers in Psychology|June 8, 2017
Normal Theory GLS Estimator for Missing Data: An Application to Item-Level Missing Data and a Comparison to Two-Stage MLVictoria Savalei, Mijke Rhemtulla
Psychological Methods|February 20, 2025
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practiceSijia Li, Victoria Savalei
Psychological Methods|February 13, 2025
Fit indices are insensitive to multiple minor violations of perfect simple structure in confirmatory factor analysisVictoria Savalei, Muhua Huang
Behavior Research Methods|April 2, 2024
Examining the performance of the chi-square difference test when the unrestricted model is slightly misspecifiedDunigan Folk, Victoria Savalei
Multivariate Behavioral Research|January 6, 2018
Investigating the Effect of Missing Data on the Population CFI and RMSEA valuesXijuan Zhang, Victoria Savalei
Frontiers in Psychology|March 24, 2015
Is the call to abandon p-values the red herring of the replicability crisis?Victoria Savalei, Elizabeth Dunn
Educational and Psychological Measurement|May 17, 2016
Improving the Factor Structure of Psychological Scales: The Expanded Format as an Alternative to the Likert Scale FormatXijuan Zhang, Victoria Savalei
Journal of Educational and Behavioral Statistics : a Quarterly Publication Sponsored by the American Educational Research Association and the American Statistical Association|December 26, 2017
Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item LevelVictoria Savalei, Mijke Rhemtulla
Psychological Methods|June 19, 2008
Constrained versus unconstrained estimation in structural equation modelingVictoria Savalei, Stanislav Kolenikov
Psychological Methods|November 29, 2016
Type I error rates and power of several versions of scaled chi-square difference tests in investigations of measurement invarianceJordan Campbell Brace, Victoria Savalei
Pageof 5

Showing results (11-20 of 43) with videos related to

Sort By:
Pageof 5
Frontiers in Psychology|June 8, 2017
Normal Theory GLS Estimator for Missing Data: An Application to Item-Level Missing Data and a Comparison to Two-Stage MLVictoria Savalei, Mijke Rhemtulla
Psychological Methods|February 20, 2025
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practiceSijia Li, Victoria Savalei
Psychological Methods|February 13, 2025
Fit indices are insensitive to multiple minor violations of perfect simple structure in confirmatory factor analysisVictoria Savalei, Muhua Huang
Behavior Research Methods|April 2, 2024
Examining the performance of the chi-square difference test when the unrestricted model is slightly misspecifiedDunigan Folk, Victoria Savalei
Multivariate Behavioral Research|January 6, 2018
Investigating the Effect of Missing Data on the Population CFI and RMSEA valuesXijuan Zhang, Victoria Savalei
Frontiers in Psychology|March 24, 2015
Is the call to abandon p-values the red herring of the replicability crisis?Victoria Savalei, Elizabeth Dunn
Educational and Psychological Measurement|May 17, 2016
Improving the Factor Structure of Psychological Scales: The Expanded Format as an Alternative to the Likert Scale FormatXijuan Zhang, Victoria Savalei
Journal of Educational and Behavioral Statistics : a Quarterly Publication Sponsored by the American Educational Research Association and the American Statistical Association|December 26, 2017
Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item LevelVictoria Savalei, Mijke Rhemtulla
Psychological Methods|June 19, 2008
Constrained versus unconstrained estimation in structural equation modelingVictoria Savalei, Stanislav Kolenikov
Psychological Methods|November 29, 2016
Type I error rates and power of several versions of scaled chi-square difference tests in investigations of measurement invarianceJordan Campbell Brace, Victoria Savalei
Pageof 5