On the Structure of Affect

2021 ◽  
Vol 229 (1) ◽  
pp. 24-37 ◽  
Author(s):  
Nadine Wedderhoff ◽  
Timo Gnambs ◽  
Oliver Wedderhoff ◽  
Tanja Burgard ◽  
Michael Bošnjak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Factor Model ◽  
Self Report ◽  
Equation Modeling ◽  
Positive And Negative Affect ◽  
Correlation Matrices ◽  
The World ◽  
Best Fit ◽  
Cross National

Abstract. The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ) is a popular self-report questionnaire that is administered all over the world. Though originally developed to measure two independent factors, different models have been proposed in the literature. Comparisons among alternative models as well as analyses concerning their robustness in cross-national research have left an inconclusive picture. Therefore, the present study evaluates the dimensionality of the PANAS and differences between English and translated versions of the PANAS using a meta-analytic structural equation modeling approach. Correlation matrices from 57 independent samples ( N = 54,043) were pooled across subsamples. For both English and non-English samples, a correlated two-factor model including correlated uniquenesses provided the best fit. However, measurement invariance analyses indicated differences in factor loadings between subsamples. Thus, cross-national application of the PANAS might only be justified if measurement equivalence was explicitly tested for the countries at hand.

Dimensionality of Organizational Justice in a Call Center Context

2012 ◽  
Vol 110 (2) ◽  
pp. 677-693 ◽  
Author(s):  
Douglas Flint ◽  
Lynn M. Haley ◽  
Jeffrey J. McNally
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Justice ◽  
Call Center ◽  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Interpersonal Justice ◽  
Informational Justice ◽  
Best Fit ◽  
Three Factor

Employees in three call centers were surveyed about their perceptions of organizational justice. Four factors were measured: distributive justice, procedural justice, interpersonal justice, and informational justice. Structural equation modeling was employed to test whether a two-, three-, or four-factor model best fit the call center data. A three-factor model of distributive, procedural, and informational justice provided the best fit to these data. The three-factor model that showed the best fit does not conform to any of the more traditional models identified in the organizational justice literature. This implies that the context in which organizational justice is measured may play a role in identifying which justice factors are relevant to employees. Findings add to the empirical evidence on the dimensionality of organizational justice and imply that dimensionality of organizational justice is more context-dependent than previously thought.

scholarly journals Leaders’ Image Concerns Is Moderator to Interfere with Leader Career Role and Leader Impression Management

2016 ◽  
Vol 11 (5) ◽  
pp. 121
Author(s):  
Mei-Mei Lin
Keyword(s):  
Structural Equation Modeling ◽  
Impression Management ◽  
Structural Equation ◽  
Skill Training ◽  
Equation Modeling ◽  
Management Problem ◽  
Personal Character ◽  
The World ◽  
Relationship Of ◽  
The Relationship

<p>There is no same image who displayed out in the world because Leader career roles developed always leans on personal character, but it could describe as each person trend to play some a particular role. However the career role developed by nature and environment, impression management upon nurture education and skill training meanwhile involve with final result so that this work supposes career role would significant influence impression management. Hence image could be control if who would like to mold into a particular image on purpose for achievement. In addition to leaders in organization always have more pressure than employees whether performance or profit especial in such economic hardship. So that this work assumes leader career role significant affect to leader impression management and leaders’ image concerns is moderator to interfere with the relationship of these two aspects. At last this work assays hypotheses successful via structural equation modeling. According to the result, this work looks forward to make industries to clear up management problem and digs out more potential crises.</p>

scholarly journals The relations among empathy, occupational commitment, and emotional exhaustion of nurses

Medicina ◽  
2007 ◽  
Vol 43 (5) ◽  
pp. 425 ◽  
Author(s):  
Saule Raižiene ◽  
Aukse Endriulaitiene
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Exhaustion ◽  
Structural Equation ◽  
Maslach Burnout Inventory ◽  
Self Report ◽  
Occupational Commitment ◽  
Reactivity Index ◽  
Equation Modeling ◽  
Sample Group ◽  
Nursing Experience

The objective of this study was to determine whether empathy and occupational commitment significantly contribute to the emotional exhaustion of nurses. The sample group was 158 nurses from two regional Lithuanian hospitals, who completed self-report measures. A questionnaire consisted of 10 items reflecting empathy appearing on Davis (1983) Indi- vidual Reactivity Index, 4 occupational commitment items from Miller et al. (1988), and 7 emotional exhaustion items from the Maslach Burnout Inventory (Maslach, Jackson, 1981). Correlation analyses and structural equation modeling were employed to interpret the results. The results showed that nurses’ occupational commitment plays an important role in the degree of emotional exhaustion they experience. Nurses having more empathy are more likely to develop higher occupational commitment. In addition, it was found that higher levels of empathy and occupational commitment of nurses are associated with lower emotional exhaustion. Nurses who stayed in the profession longer developed stronger occupational commitment. Therefore, the conclusion was made that differences in emotional exhaustion among nurses may be explained directly by occupational commitment and indirectly by empathy and nursing experience.

scholarly journals Influences on Attitudes Regarding Potential COVID-19 Vaccination in the United States

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 582 ◽  
Author(s):  
Kendall Pogue ◽  
Jamie L. Jensen ◽  
Carter K. Stancil ◽  
Daniel G. Ferguson ◽  
Savannah J. Hughes ◽  
...  
Keyword(s):  
United States ◽  
Structural Equation Modeling ◽  
Side Effects ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Vaccine Acceptance ◽  
The World ◽  
Short And Long Term

The COVID-19 pandemic continues to ravage the world, with the United States being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. The aim of this study was to understand the attitudes towards and obstacles facing vaccination with a potential COVID-19 vaccine. To measure these attitudes a survey was administered to 316 respondents across the United States by a survey corporation. Structural equation modeling was used to analyze the relationships of several factors with attitudes toward potential COVID-19 vaccination. Prior vaccine usage and attitudes predicted attitudes towards COVID-19 vaccination. Assessment of the severity of COVID-19 for the United States was also predictive. Approximately 68% of all respondents were supportive of being vaccinated for COVID-19, but side effects, efficacy and length of testing remained concerns. Longer testing, increased efficacy and development in the United States were significantly associated with increased vaccine acceptance. Messages promoting COVID-19 vaccination should seek to alleviate the concerns of those who are already vaccine-hesitant. Messaging directed at the benefits of vaccination for the United States as a country would address the second predictive factor. Enough time should be taken to allay concerns about both short- and long-term side effects before a vaccine is released.

Authentic leadership and work engagement: the mediating effect of practicing core values

2018 ◽  
Vol 39 (2) ◽  
pp. 276-290 ◽  
Author(s):  
Jihye Oh ◽  
Daeyeon Cho ◽  
Doo Hun Lim
Keyword(s):  
Work Engagement ◽  
Structural Equation ◽  
Authentic Leadership ◽  
Factor Model ◽  
Core Values ◽  
Mediating Effect ◽  
Self Report ◽  
Equation Modeling ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to investigate the mediating effect of practicing core values on the relationship between authentic leadership and work engagement in a Korean corporate environment. Design/methodology/approach Self-report data on authentic leadership, practicing core values, and work engagement were obtained from 281 employees of three major corporations in South Korea. Structural equation modeling was adopted to analyze the data. Findings The results revealed a direct and significant influence of authentic leadership on both practicing core values and work engagement. In addition, practicing core values was found to have a partial mediating effect on the relationship between authentic leadership and work engagement. Research limitations/implications This study revealed a three-factor model of authentic leadership compared to the four-factor model found in western cultural contexts. Similar findings are indicated for other Asian countries. A rigorous future study is warranted to validate the psychometric structure across different cultural settings. Harman’s single factor test was performed to address the common method variance issue. Practical implications Practicing core values functioned as a catalyst for developing authentic leaders. Therefore, it is necessary that organizational development practitioners perform developmental activities to purposefully facilitate practicing core values. Originality/value The study falls under the isolated or disregarded researched topic of the practicing core values in relation to authentic leadership and work engagement.

An Analysis of the World Health Organization Disability Assessment Schedule 2.0 Measurement Model Using Partial Least Squares–Structural Equation Modeling

Assessment ◽  
2019 ◽  
Vol 27 (8) ◽  
pp. 1731-1747 ◽  
Author(s):  
Saundra M. Tabet ◽  
Glenn W. Lambie ◽  
Shiva Jahani ◽  
S. Mostafa Rasoolimanesh
Keyword(s):  
Structural Equation Modeling ◽  
World Health Organization ◽  
Structural Equation ◽  
Measurement Model ◽  
World Health ◽  
Equation Modeling ◽  
Disability Assessment ◽  
Whodas 2.0 ◽  
The World ◽  
Health Organization

The researchers examined the factor structure and model specifications of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) with confirmatory tetrad analysis (CTA) using partial least squares–structural equation modeling (PLS-SEM) with a sample of adult clients ( N = 298) receiving individual therapy at a university-based counseling research center. The CTA and PLS-SEM results identified the formative nature of the WHODAS 2.0 subscale scores, supporting an alternative measurement model of the WHODAS 2.0 scores as a second-order formative–formative model.

Structural Equation Modeling with Factors and Composites

2017 ◽  
Vol 13 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Factor Model ◽  
Common Factor ◽  
Equation Modeling ◽  
A Algorithm ◽  
Multivariate Statistical ◽  
Full Information Maximum Likelihood ◽  
Common Factor Model ◽  
Path Coefficients

Recent methodological developments building on partial least squares (PLS) techniques and related ideas have significantly contributed to bridging the gap between factor-based and composite-based structural equation modeling (SEM) methods. PLS-SEM is extensively used in the field of e-collaboration, as well as in many other fields where multivariate statistical analyses are employed. The author compares results obtained with four methods: covariance-based SEM with full information maximum likelihood (FIML), factor-based SEM with common factor model assumptions (FSEM1), factor-based SEM building on the PLS Regression algorithm (FSEM2), and PLS-SEM employing the Mode A algorithm (PLSA). The comparison suggests that FSEM1 yields path coefficients and loadings that are very similar to FIML's; and that FSEM2 yields path coefficients that are very similar to FIML's and loadings that are very similar to PLSA's.

Organizational Commitment As Influenced by Leadership Behavior of Administrators, Job Satisfaction and Burnout of Teachers: A Structural Equation Modeling

10.17158/228 ◽  
2012 ◽  
Vol 18 (1) ◽  
Author(s):  
Felix C. Chavez, Jr.
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Quantitative Research ◽  
Goodness Of Fit ◽  
Leadership Behavior ◽  
Stepwise Multiple Regression ◽  
Equation Modeling ◽  
Best Fit

This study was conducted to determine the best fit model of organizational commitment. Specifically, it established the interrelationship among leadership behavior, job satisfaction, burnout, and organizational commitment. Quantitative research design was utilized in this study. The data were gathered from the teachers among the randomly selected academic institutions in Region XI, Philippines. Moreover, sets of survey questionnaires were used as instruments to obtain information from the participants. Pearson product moment correlation was used to find the significance of the relationship between the independent and dependent variables. Stepwise multiple regression analysis was used to identify the variables that best predict organizational commitment and likewise Structural Equation Modeling was used to identify the model that best fits organizational commitment. The findings revealed that the over-all leadership behavior of administrators and organizational commitment of teachers were high. On the other hand, the job satisfaction of teachers was moderate and their degree of burnout was low. Furthermore, the leadership behavior, job satisfaction, and burnout were highly correlated with organizational commitment, and found to be significant predictors of organizational commitment. Finally, the best fit model of organizational commitment was the Hypothesized Model 5, which passed all the goodness of fit indices criteria.

Adaptation and Validation of the Athletic Identity Questionnaire-Adolescent for Use With Children

2008 ◽  
Vol 5 (4) ◽  
pp. 539-558 ◽  
Author(s):  
Cheryl B. Anderson ◽  
Karen J. Coleman
Keyword(s):  
Physical Activity ◽  
Construct Validity ◽  
Structural Equation ◽  
Factor Model ◽  
Athletic Identity ◽  
Ethnically Diverse ◽  
Self Report ◽  
Equation Modeling ◽  
Confirmatory Factor ◽  
Child Factors

Background:This article describes the adaptation of the Athletic Identity Questionnaire (AIQ) for Adolescents for use with children and evaluates its construct validity. Based on a theoretical model supported in adults and adolescents, the AIQ-Child measures the general attribute of athletic, which encompasses exercise, sport, and physical activity and assesses 4 dimensions: appearance, competence, importance of activity, and encouragement from 3 sources (parents, friends, teachers/other adults).Methods:The hypothesized 4-factor model was tested using structural equation modeling in 2 samples of 9- and 10-year-old children that were ethnically diverse (N = 432) and Hispanic (N = 504).Results:Confirmatory factor analysis using LISREL 8.71 supported the 4-factor structure in a 40- or 38-item version in sample 1 (RMSEA = .039, .041) and sample 2 (RMSEA = .038, .038). As in the adult and adolescent models, there was also support for a higher-order model. The AIQ-Child factors were positively related to physical activity (r = .51 to .68) and fitness (r = .15 to .41) and negatively related to TV/computer use (r = –.28 to –.03) and adiposity (r = –.32 to .04).Conclusions:Findings support the factorial and construct validity of the AIQ-Child and its use as a self-report instrument in younger children.

A New Dimension of Organizational Justice: Procedural Voice

2009 ◽  
Vol 105 (2) ◽  
pp. 411-426 ◽  
Author(s):  
Denise Jepsen ◽  
John Rodwell
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Justice ◽  
Latent Variable ◽  
Structural Equation ◽  
Factor Model ◽  
Model Fit ◽  
Equation Modeling ◽  
Wide Range

Dimensionality of the Colquitt justice measures was investigated across a wide range of service occupations. Structural equation modeling of data from 410 survey respondents found support for the 4-factor model of justice (procedural, distributive, interpersonal, and informational), although significant improvement of model fit was obtained by including a new latent variable, “procedural voice,” which taps employees' desire to express their views and feelings and influence results. The model was confirmed in a second sample ( N = 505) in the same organization six months later.

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