Factor Structure of the PANAS With Bayesian Structural Equation Modeling in a Chinese Sample

2021 ◽  
pp. 016327872199679
Author(s):  
Minsun Kim ◽  
Ze Wang
Keyword(s):  
High School Students ◽  
Structural Equation Modeling ◽  
Factor Structure ◽  
Structural Equation ◽  
Model Fit ◽  
Self Report ◽  
Equation Modeling ◽  
School Students ◽  
Chinese Sample ◽  
Bayesian Structural Equation Modeling

The Positive and Negative Affect Schedule (PANAS) is the most widely used self-report instrument for assessing affect. However, there are inconsistent findings regarding the factor structure of the PANAS. In this study, we applied Bayesian structural equation modeling (BSEM) to investigate the structure of the PANAS using data from a sample of 893 Chinese middle and high school students. Four models, the orthogonal two-, the oblique two-, the three-, and the bi-factor models were tested with prior specifications including approximately zero cross-loadings and residual covariances. The results indicated that the orthogonal two-factor model specified with informative priors for both cross-loadings and residual correlations has the best model fit. Confirmatory factor analysis with the maximum likelihood estimator (ML-CFA) based on modifications from BSEM analysis showed improved model fit compared to ML-CFA based on frequentist analysis, which is the evidence for the merit of BSEM for addressing misspecifications.

scholarly journals Social-Emotional Profile of Children with and without Learning Disabilities: The Relationships with Perceived Loneliness, Self-Efficacy and Well-Being

2020 ◽  
Vol 17 (20) ◽  
pp. 7358
Author(s):  
Tali Heiman ◽  
Dorit Olenik-Shemesh
Keyword(s):  
Social Support ◽  
High School Students ◽  
Indirect Effects ◽  
Self Efficacy ◽  
Structural Equation ◽  
Well Being ◽  
Self Report ◽  
Equation Modeling ◽  
Social Emotional ◽  
School Students

The current study examined whether perceived social support mediated the effects of loneliness and self-efficacy on well-being among students with or without a learning disability (LD). Participants included 834 elementary, middle, and high school students from Israel (29.6% students with LDs) who completed self-report questionnaires. The results of structural equation modeling indicate that social support mediates the indirect effects of age, gender, loneliness and self-efficacy on well-being. In addition, the results show differences between groups, as non-LD girls noted a higher self-efficacy and well-being than boys, and well-being had indirect effects in the non-LD group than in the LD group. These results indicate students with LDs have a unique social-emotional profile that affects their well-being. The study highlights the importance of enhancing self-efficacy and reducing loneliness in order to increase social support, thus predicting positive well-being. Effective and practical educational programs are needed for both groups across age and gender.

scholarly journals Emotional intelligence as a moderator between perfectionism and happiness

2018 ◽  
Vol 40 (1) ◽  
pp. 88-103 ◽  
Author(s):  
Abbas Abdollahi ◽  
Simin Hosseinian ◽  
Hannaneh Panahipour ◽  
Mahmoud Najafi ◽  
Fariba Soheili
Keyword(s):  
Emotional Intelligence ◽  
High School Students ◽  
Structural Equation ◽  
Self Report ◽  
Equation Modeling ◽  
School Students ◽  
Personal Standards ◽  
Evaluative Concerns ◽  
Personal Standards Perfectionism

Happiness plays a key role in influencing adolescent performance in a variety of contexts. The present study was designed to investigate the relationships between perfectionism, emotional intelligence, and happiness and to test the moderating role of emotional intelligence in the relationship between perfectionism and happiness among Malaysian adolescents. The participants were 412 Malaysian high-school students from Selangor, all of whom completed self-report questionnaires. Structural equation modeling (SEM) was used to examine whether students with high levels of personal standards perfectionism, low levels of evaluative concerns perfectionism, and high levels of emotional intelligence reported higher levels of happiness. Multigroup analyses showed that emotional intelligence emerged as a significant moderator in the link between evaluative concerns perfectionism and happiness. These findings highlight the importance of emotional intelligence in mitigating the devastating effects of evaluative concerns perfectionism on happiness.

Commitment to community and political involvement: A cross-cultural study with Italian and American adolescents

Human Affairs ◽  
2012 ◽  
Vol 22 (3) ◽  
Author(s):  
Elisabetta Crocetti ◽  
Parissa Jahromi ◽  
Christy Buchanan
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Self Report ◽  
Equation Modeling ◽  
Political Involvement ◽  
School Students ◽  
Political Activities ◽  
Personal Commitment ◽  
Cross Cultural Study ◽  
The Usa

AbstractThe purpose of this study was to test whether personal commitment to community was related to political involvement in two cultural contexts: Italy and the USA. Participants were 566 adolescents (48.2% males) aged 14–19 years (M = 16 years; SD = 1.29): 311 Italians and 255 Americans. Participants filled out a self-report questionnaire. Analyses of variance revealed that American high school students reported higher levels of personal commitment to community than did their Italian peers and that many forms of political involvement were significantly more common among American adolescents. Structural equation modeling analyses revealed that personal commitment to community was strongly and positively associated with involvement in political activities in both adolescent samples. Thus, fostering personal commitments to community could potentially lead youth to political engagement.

scholarly journals More Than Morningness: The Effect of Circadian Rhythm Amplitude and Stability on Resilience, Coping, and Sleep Duration

2021 ◽  
Vol 12 ◽  
Author(s):  
Lee Di Milia ◽  
Simon Folkard
Keyword(s):  
Circadian Rhythm ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Weak Link ◽  
Model Fit ◽  
Self Report ◽  
Equation Modeling ◽  
Categorical Variable ◽  
Scale Reliability ◽  
Low Amplitude

Self-report tools that measure circadian rhythms have focused primarily on phase. We add to the sparse literature on assessing amplitude and stability. We randomly recruited 1,163 participants who completed several measures. The correlation between the LV scale (amplitude) and FR scale (stability) was −0.12 (p < 0.01). As expected, amplitude was negatively associated with phase (r = −0.64, p < 0.01) while stability showed a weak link with phase (r = 0.07, p < 0.05). Structural equation modeling suggested a close model-fit of the factor structure in the sample (RMSEA = 0.033). The LV scale explained 22% of the variance, while the FR scale explained 23%. Scale reliability was satisfactory for the LV scale (0.68) and good for the FR scale (0.73). Participants with low amplitude or flexible rhythms reported significantly better resilience, coping, and required less daily sleep. We constructed a composite circadian categorical variable to combine the best attributes from the LV and FR scales; participants with both low amplitude and flexible rhythms, reported significantly better resilience, coping, and less sleep need. We found rhythm amplitude decreased with age, while stability remained constant.

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