Modeling congruence in organizational research with latent moderated structural equations.

2019 ◽  
Vol 104 (11) ◽  
pp. 1404-1433 ◽  
Author(s):  
Rong Su ◽  
Qi Zhang ◽  
Yaowu Liu ◽  
Louis Tay
Keyword(s):  
Structural Equations ◽  
Organizational Research ◽  
Latent Moderated Structural Equations

scholarly journals Latent Variable Interactions With Ordered-Categorical Indicators: Comparisons of Unconstrained Product Indicator and Latent Moderated Structural Equations Approaches

2019 ◽  
Vol 80 (2) ◽  
pp. 262-292 ◽  
Author(s):  
Ezgi Aytürk ◽  
Heining Cham ◽  
Patricia A. Jennings ◽  
Joshua L. Brown
Keyword(s):  
Latent Variable ◽  
English Language ◽  
Structural Equations ◽  
Fifth Grade Students ◽  
Teacher Student ◽  
Interaction Modeling ◽  
Latent Variable Interactions ◽  
Ordered Categorical ◽  
Latent Moderated Structural Equations ◽  
Variable Interactions

Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated structural equations (LMS). We conducted a simulation study across sample sizes, indicators’ distributions and category conditions. We also studied four strategies to create sets of product indicators for UPI. Results supported using a parceling strategy to create product indicators in the UPI approach or using the LMS approach when the categorical indicators are symmetrically distributed. We applied these models to study the interaction effect between third- to fifth-grade students’ social skills improvement and teacher–student closeness on their state English language arts test scores.

Multicollinearity and Missing Constraints

Methodology ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 51-66 ◽  
Author(s):  
Augustin Kelava ◽  
Helfried Moosbrugger ◽  
Polina Dimitruk ◽  
Karin Schermelleh-Engel
Keyword(s):  
Structural Equation ◽  
Nonlinear Effects ◽  
Structural Equations ◽  
Equation Modeling ◽  
Simultaneous Estimation ◽  
Parameter Estimates ◽  
Linear Predictor ◽  
Necessary Constraints ◽  
Quadratic Effects ◽  
Latent Moderated Structural Equations

Multicollinearity complicates the simultaneous estimation of interaction and quadratic effects in structural equation modeling (SEM). So far, approaches developed within the Kenny-Judd (1984 ) tradition have failed to specify additional and necessary constraints on the measurement error covariances of the nonlinear indicators. Given that the constraints comprise, in part, latent linear predictor correlations, multicollinearity poses a problem for such approaches. Klein and Moosbrugger’s (2000 ) latent moderated structural equations approach (LMS) approach does not utilize nonlinear indicators and should therefore not be affected by this problem. In the context of a simulation study, we varied predictor correlation and the number of nonlinear effects in order to compare the performance of three approaches developed for the estimation of simultaneous nonlinear effects: Ping’s (1996 ) two-step approach, a correctly extended Jöreskog-Yang (1996 ) approach, and LMS. Results show that in contrast to the Jöreskog-Yang approach and LMS, the two-step approach produces biased parameter estimates and false inferences under heightened multicollinearity. Ping’s approach resulted in overestimated interaction effects and underestimated quadratic effects.

Trait Perfectionism and Dance Goals Among Young Female Dancers: An Application of the 2 × 2 Model of Perfectionism

2021 ◽  
pp. 1-14
Author(s):  
Danielle S. Molnar ◽  
Melissa Blackburn ◽  
Dawn Zinga ◽  
Natalie Spadafora ◽  
Tabitha Methot-Jones ◽  
...  
Keyword(s):  
North American ◽  
Young Female ◽  
Structural Equations ◽  
Partial Support ◽  
Personal Standards ◽  
Extrinsic Goals ◽  
Intrinsic Goals ◽  
Evaluative Concerns ◽  
Personal Standards Perfectionism ◽  
Latent Moderated Structural Equations

This study provided the first test of the 2 × 2 model of perfectionism with respect to dancers’ goals for dancing in competitive dance. Four hundred twenty-five young female North American competitive dancers (M = 11.33 years; SD = 2.14) completed questionnaires assessing multidimensional perfectionism and goals for participation in dance. The latent moderated structural equations approach along with procedures outlined by Gaudreau indicated partial support for the 2 × 2 model of perfectionism. Pure Evaluative Concerns Perfectionism was associated with fewer intrinsic goals for dance and greater extrinsic goals for dance relative to nonperfectionism. Pure Personal Standards Perfectionism was related to less endorsement of extrinsic goals relative to nonperfectionism. Findings were complex with respect to mixed perfectionism, with this form of perfectionism being related to greater endorsement of both intrinsic and extrinsic goals for dance. Results provide partial support for the 2 × 2 model in youth dance.

scholarly journals Analyser l’interaction de variables latentes : une exemplification méthodologique de la méthode d’équations structurelles avec interaction latente1

2018 ◽  
Vol 43 (3) ◽  
pp. 28-60 ◽  
Author(s):  
Stéphanie Girard ◽  
Sébastien Béland
Keyword(s):  
Present Article ◽  
Structural Equations ◽  
Latent Moderated Structural Equations

Le présent article est une exemplification méthodologique de la méthode LMS (Latent Moderated Structural Equations) disponible dans le logiciel Mplus. Des données recueillies pour étudier la motivation d’adolescentes (n = 434) en éducation physique serviront à présenter la méthodologie à suivre pour évaluer l’interaction de variables latentes dans des modèles d’équations structurelles. Le texte focalise sur la compréhension générale du lecteur quant à l’application de cette méthode et un accent est mis sur la présentation et l’interprétation des résultats. En terminant, les avantages de la méthode LMS sont mis de l’avant et des pistes d’exemplifications méthodologiques sont proposées.

Challenge Demands, Hindrance Demands, and Psychological Need Satisfaction

2015 ◽  
Vol 14 (2) ◽  
pp. 70-79 ◽  
Author(s):  
Simon L. Albrecht
Keyword(s):  
Work Engagement ◽  
Job Demands ◽  
Self Determination Theory ◽  
Structural Equations ◽  
Need Satisfaction ◽  
Self Determination ◽  
Job Resources ◽  
Mediating Effects ◽  
Psychological Need ◽  
Practical Implications

The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees’ need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.

Structuring Structural Equations Modeling

2003 ◽  
Vol 48 (5) ◽  
pp. 680-683 ◽  
Author(s):  
Alexander von Eye
Keyword(s):  
Structural Equations ◽  
Structural Equations Modeling
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