Supplemental Material for Meta-Analytic Structural Equation Modeling: A Two-Stage Approach

2019 ◽  
Author(s):  
Konrad Bresin

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs < .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.


2014 ◽  
Vol 1 (2) ◽  
pp. 285
Author(s):  
Zuhdy Tafqihan ◽  
Suryanto Suryanto

Penelitian ini bertujuan untuk memperoleh model hubungan kausalitas dari variabel-variabel kompetensi, komitmen profesional, kinerja dan kepuasan kerja guru matematika. Populasi dalam penelitian ini adalah seluruh guru matematika SMP dan MTs di Kabupaten Ponorogo yang berjumlah 262 orang. Sampel sejumlah 82 orang ditentukan melalui teknik two stage cluster random sampling. Instrumen penelitian ini adalah kuesioner dan lembar penilaian/observasi. Kuesioner digunakan untuk mengumpulkan data komitmen profesional dan kepuasan kerja guru matematika, sedangkan lembar penilaian/observasi digunakan untuk mengumpulkan data kompetensi dan kinerja guru matematika. Data yang diperoleh dianalisis dengan metode Structural Equation Modeling (SEM).Hasil penelitian menunjukkan bahwa: (1) terdapat pengaruh positif kompetensi terhadap komitmen profesional sebesar 15,9%; (2) terdapat pengaruh positif kompetensi terhadap kinerja sebesar 63,6%; (3) terdapat pengaruh positif komitmen profesional terhadap kinerja sebesar 15,9%; dan (4) terdapat pengaruh positif komitmen profesional terhadap kepuasan kerja sebesar 37,8%. Hasil-hasil penelitian di atas dapat mengkonfirmasi kesimpulan penelitian-penelitian sebelumnya. Kata kunci: kompetensi guru, komitmen profesional, kinerja, kepuasan kerja, Structural Equation Modeling (SEM)


2018 ◽  
Vol 47 (3) ◽  
pp. 623-644 ◽  
Author(s):  
Ibrahim S. Alhidari ◽  
Tania M. Veludo-de-Oliveira ◽  
Shumaila Y. Yousafzai ◽  
Mirella Yani-de-Soriano

This study develops and validates a model that evaluates the effect of trust on individual monetary donations to charitable organizations (COs). Data were collected in Saudi Arabia using a two-stage approach and were analyzed via structural equation modeling. Data on psychosocial variables were collected in the first stage, and data on behavior were collected in the second stage, 4 weeks later. The findings confirm the study’s novel multidimensional perspective of trust in the context of individual monetary donations to COs in Saudi Arabia. The results validate the view that trust is present only when the individuals concerned are disposed to trust others and when they believe that the COs can conduct their charitable mission, are honest in the use of their donations, and prioritize beneficiaries’ rights. Individuals’ trust in COs affects both the intention to donate and future monetary donation behavior.


Methodology ◽  
2009 ◽  
Vol 5 (4) ◽  
pp. 131-136 ◽  
Author(s):  
Alberto Maydeu-Olivares ◽  
Carlos García-Forero ◽  
David Gallardo-Pujol ◽  
Jordi Renom

Structural equation modeling (SEM) with ordinal indicators rely on an assumption of categorized normality. This assumption may be tested for pairs of variables using the likelihood ratio G2 or Pearson’s X2 statistics. For increased computational efficiency, SEM programs usually estimate polychoric correlations in two stages. However, two-stage polychoric estimates are not asymptotically efficient and G2 and X2 need not be asymptotically chi-square when the estimator is not efficient. Recently, Maydeu-Olivares and Joe (2005) have introduced a new statistic, Mn , that is asymptotically chi-square even for estimators that are not efficient. We investigate the behavior of G2, X2, and Mn when testing underlying bivariate normality with polychoric correlations estimated in two stages.


Sign in / Sign up

Export Citation Format

Share Document