The Experts below are selected from a list of 89322 Experts worldwide ranked by ideXlab platform
Rosalie J. Hall - One of the best experts on this subject based on the ideXlab platform.
-
Applying multilevel Confirmatory Factor Analysis techniques to the study of leadership
Leadership Quarterly, 2005Co-Authors: Naomi Dyer, Paul J. Hanges, Rosalie J. HallAbstract:Statistical issues associated with multilevel data are becoming increasingly important to organizational researchers. This paper concentrates on the issue of assessing the Factor structure of a construct at aggregate levels of Analysis. Specifically, we describe a recently developed procedure for performing multilevel Confirmatory Factor Analysis (MCFA) [Muthen, B.O. (1990). Mean and covariance structure Analysis of hierarchical data. Paper presented at the Psychometric Society, Princeton, NJ; Muthen, B.O. (1994). Multilevel covariance structure Analysis. Sociological Methods and Research, 22, 376–398], and provide an illustrative example of its application to leadership data reflecting both the organizational and societal level of Analysis. Overall, the results of our illustrative Analysis support the existence of a valid societal-level leadership construct, and show the potential of this multilevel Confirmatory Factor Analysis procedure for leadership research and the field of I/O psychology in general.
Naomi Dyer - One of the best experts on this subject based on the ideXlab platform.
-
Applying multilevel Confirmatory Factor Analysis techniques to the study of leadership
Leadership Quarterly, 2005Co-Authors: Naomi Dyer, Paul J. Hanges, Rosalie J. HallAbstract:Statistical issues associated with multilevel data are becoming increasingly important to organizational researchers. This paper concentrates on the issue of assessing the Factor structure of a construct at aggregate levels of Analysis. Specifically, we describe a recently developed procedure for performing multilevel Confirmatory Factor Analysis (MCFA) [Muthen, B.O. (1990). Mean and covariance structure Analysis of hierarchical data. Paper presented at the Psychometric Society, Princeton, NJ; Muthen, B.O. (1994). Multilevel covariance structure Analysis. Sociological Methods and Research, 22, 376–398], and provide an illustrative example of its application to leadership data reflecting both the organizational and societal level of Analysis. Overall, the results of our illustrative Analysis support the existence of a valid societal-level leadership construct, and show the potential of this multilevel Confirmatory Factor Analysis procedure for leadership research and the field of I/O psychology in general.
-
MULTILEVEL Confirmatory Factor Analysis: DEMONSTRATION OF MUTHEN'S TECHNIQUE.
Academy of Management Proceedings, 1997Co-Authors: Naomi Dyer, William P. Sipe, Paul J. HangesAbstract:Interest in statistical issues regarding how to analyze multilevel data has been increasing. This paper reviews and demonstrates Muthen's (1994) multilevel Confirmatory Factor Analysis procedure.
Mark Shevlin - One of the best experts on this subject based on the ideXlab platform.
-
Reassessing the fit of the Confirmatory Factor Analysis of the multidimensional students life satisfaction scale: comments on `Confirmatory Factor Analysis of the multidimensional Students' Life Satisfaction Scale'
Personality and Individual Differences, 2000Co-Authors: Mark Shevlin, J.n.v Miles, Christopher Alan LewisAbstract:Greenspoon and Saklofske [(1998). Confirmatory Factor Analysis of the multidimensional Students' Life Satisfaction Scale. Personality and Individual Differences, 25, 965-971] present the results of a Confirmatory Factor Analysis of the multidimensional Students' Life Satisfaction Scale. In this paper, we argue that the results of this Analysis do not demonstrate, as the authors claim, that the proposed model is able to satisFactorily account for the data. Recommendations are made regarding more appropriate methods of assessing model fit in Confirmatory Factor Analysis. (C) 1999 Elsevier Science Ltd. All rights reserved.
-
Confirmatory Factor Analysis of the Satisfaction with Life Scale
Perceptual and Motor Skills, 1994Co-Authors: Mark Shevlin, Brendan BuntingAbstract:The dimensionality of the Satisfaction With Life Scale was assessed by a single-Factor Confirmatory Factor Analysis. The data were consistent with the model, indicating that the scale measures a single construct.
Jennifer Koran - One of the best experts on this subject based on the ideXlab platform.
-
Indicators per Factor in Confirmatory Factor Analysis: More is not Always Better
Structural Equation Modeling: A Multidisciplinary Journal, 2020Co-Authors: Jennifer KoranAbstract:Although some research in Confirmatory Factor Analysis has suggested that more indicators per Factor are generally better, studies have also documented that sample size requirements increase as mod...
Paul J. Hanges - One of the best experts on this subject based on the ideXlab platform.
-
Applying multilevel Confirmatory Factor Analysis techniques to the study of leadership
Leadership Quarterly, 2005Co-Authors: Naomi Dyer, Paul J. Hanges, Rosalie J. HallAbstract:Statistical issues associated with multilevel data are becoming increasingly important to organizational researchers. This paper concentrates on the issue of assessing the Factor structure of a construct at aggregate levels of Analysis. Specifically, we describe a recently developed procedure for performing multilevel Confirmatory Factor Analysis (MCFA) [Muthen, B.O. (1990). Mean and covariance structure Analysis of hierarchical data. Paper presented at the Psychometric Society, Princeton, NJ; Muthen, B.O. (1994). Multilevel covariance structure Analysis. Sociological Methods and Research, 22, 376–398], and provide an illustrative example of its application to leadership data reflecting both the organizational and societal level of Analysis. Overall, the results of our illustrative Analysis support the existence of a valid societal-level leadership construct, and show the potential of this multilevel Confirmatory Factor Analysis procedure for leadership research and the field of I/O psychology in general.
-
MULTILEVEL Confirmatory Factor Analysis: DEMONSTRATION OF MUTHEN'S TECHNIQUE.
Academy of Management Proceedings, 1997Co-Authors: Naomi Dyer, William P. Sipe, Paul J. HangesAbstract:Interest in statistical issues regarding how to analyze multilevel data has been increasing. This paper reviews and demonstrates Muthen's (1994) multilevel Confirmatory Factor Analysis procedure.