scholarly journals Development of the Japanese Version of the State Self-Compassion Scale (SSCS-J)

2022 ◽  
Vol 12 ◽  
Author(s):  
Yuki Miyagawa ◽  
István Tóth-Király ◽  
Marissa C. Knox ◽  
Junichi Taniguchi ◽  
Yu Niiya
Keyword(s):  
Construct Validity ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Japanese Version ◽  
The State ◽  
Equation Modeling ◽  
Self Compassion ◽  
Global Factor ◽  
Compassion Scale ◽  
The U.S

Research in the U.S. developed and validated the State Self-Compassion Scale (SSCS), which measures self-compassionate reactions toward a specific negative event. The current study is aimed at developing the Japanese version of the State Self-Compassion Scale (SSCS-J) and extending previous findings in the U.S. by showing measurement invariance across sexes and demonstrating the construct validity of this scale. Across two studies (n = 596 in Study 1, n = 474 in Study 2), the bifactor exploratory structural equation modeling representation of the SSCS-J showed excellent fit in which a single global factor (i.e., self-compassion) and most of the specific factors (six subscales) were well defined. Study 1 further provided evidence for the measurement invariance across sexes. The SSCS-J was related with higher trait self-compassion and lower fear of and negative beliefs about self-compassion. In Study 2, participants who were instructed to be self-compassionate reported higher scores in the SSCS-J relative to those in the control condition. These results attest to the replicability of the factor structure of the SSCS in Japan and provide further evidence for the construct validity of this scale.

Is Self-Compassion Universal? Support for the Measurement Invariance of the Self-Compassion Scale Across Populations

Assessment ◽  
2020 ◽  
Vol 28 (1) ◽  
pp. 169-185 ◽  
Author(s):  
István Tóth-Király ◽  
Kristin D. Neff
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Secondary Data ◽  
The Self ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Self Compassion ◽  
Wide Range ◽  
Compassion Scale

The Self-Compassion Scale (SCS) is a widely used measure to assess the trait of self-compassion, and, so far, it has been implicitly assumed that it functions the same way across different groups. This assumption needs to be explicitly tested to ascertain that no measurement biases exist. To address this issue, the present study sought to systematically examine the generalizability of the bifactor exploratory structural equation modeling operationalization of the SCS via tests of measurement invariance across a wide range of populations, varying according to features such as student or community status, gender, age, and language. Secondary data were used for this purpose and included a total of 18 samples and 12 different languages ( N = 10,997). Multigroup analyses revealed evidence for the configural, weak, strong, strict, and latent variance–covariance of the bifactor exploratory structural equation modeling operationalization of the SCS across different groups. These findings suggest that the SCS provides an assessment of self-compassion that is psychometrically equivalent across groups. However, findings comparing latent mean invariance found that levels of self-compassion differed across groups.

Dispositional Vengeance and Anger on Schadenfreude

2012 ◽  
Vol 111 (1) ◽  
pp. 322-334 ◽  
Author(s):  
Masato Sawada ◽  
Daichi Hayama
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Japanese Version ◽  
Gender Effect ◽  
Target Person ◽  
Trait Anger ◽  
Equation Modeling ◽  
Retest Reliability ◽  
Test Retest Reliability

The aim of this study was to construct a model of the elicitation of schadenfreude through vengeance, envy, and trait anger. Japanese undergraduates (239 men, 284 women) completed questionnaires assessing dispositional vengeance, trait anger, and empathy. Then, participants read two scenarios: one about a target person's success and one about his or her misfortune. After reading the first scenario, the participants were asked to rate their envy toward the target person, then their feelings of schadenfreude after the second. A Japanese version of the Vengeance Scale was developed, and its construct validity and test-retest reliability were confirmed. Structural equation modeling was applied to examine how dispositional vengeance, trait anger, and envy were related to schadenfreude. The results indicated that envy and dispositional vengeance were significantly related to scores on the schadenfreude scale, with no gender effect, whereas vengeance was associated with envy only for women.

scholarly journals Testing Models and Measurement Invariance of the Learning Gains Scale

2018 ◽  
Vol 8 (4) ◽  
pp. 192 ◽  
Author(s):  
Tefera Tadesse ◽  
Robyn Gillies ◽  
Chris Campbell
Keyword(s):  
Construct Validity ◽  
Measurement Invariance ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Equation Modeling ◽  
Supporting Evidence ◽  
Learning Gains ◽  
Survey Responses

This study tested the construct validity, factorial validity, and measurement invariance of the learning gains scale based on survey responses of a large sample (n = 536) of undergraduate students in two colleges at a university in Ethiopia. The analyses were performed through structural equation modeling technique using the stata 13 data analysis and statistical software package. The results demonstrate a 3-factor model representing the underlying construct satisfying the different model goodness-of-fit statistics and practical indexes. The observed factor loadings of variables within each factor and the correlations between the factors provide supporting evidence of construct validity. Measurement invariance tests were also confirmed acceptable levels of measurement equivalence between groups. Implications of the 3-factor model in higher education research are discussed.

The Development and Validation of the Compassion Scale

Assessment ◽  
2019 ◽  
Vol 27 (1) ◽  
pp. 21-39 ◽  
Author(s):  
Elizabeth Pommier ◽  
Kristin D. Neff ◽  
István Tóth-Király
Keyword(s):  
Structural Equation ◽  
Community Sample ◽  
Equation Modeling ◽  
Common Humanity ◽  
Student Sample ◽  
Self Compassion ◽  
Potential Scale ◽  
Test Retest Reliability ◽  
Development And Validation ◽  
Compassion Scale

This article presents a measure of compassion for others called the Compassion Scale (CS), which is based on Neff’s theoretical model of self-compassion. Compassion was operationalized as experiencing kindness, a sense of common humanity, mindfulness, and lessened indifference toward the suffering of others. Study 1 ( n = 465) describes the development of potential scale items and the final 16 CS items chosen based on results from analyses using bifactor exploratory structural equation modeling. Study 2 ( n = 510) cross-validates the CS in a second student sample. Study 3 ( n = 80) establishes test–retest reliability. Study 4 ( n = 1,394) replicates results with a community sample, while Study 5 ( n = 172) replicates results with a sample of meditators. Study 6 ( n = 913) examines the finalized version of the CS in a community sample. Evidence regarding reliability, discriminant, convergent, construct, and known-groups validity for the CS is provided.

Further Validity of the Japanese Version of the Ten Item Personality Inventory (TIPI-J)

2014 ◽  
Vol 35 (4) ◽  
pp. 236-244 ◽  
Author(s):  
Atsushi Oshio ◽  
Shingo Abe ◽  
Pino Cutrone ◽  
Samuel D. Gosling
Keyword(s):  
Big Five ◽  
Content Validity ◽  
Structural Equation ◽  
English Language ◽  
Full Range ◽  
Reliability And Validity ◽  
Japanese Version ◽  
Personality Inventory ◽  
Equation Modeling ◽  
Big Five Personality

The Ten Item Personality Inventory (TIPI; Gosling, Rentfrow, & Swann, 2003 ) is a widely used very brief measure of the Big Five personality dimensions. Oshio, Abe, and Cutrone (2012) have developed a Japanese version of the TIPI (TIPI-J), which demonstrated acceptable levels of reliability and validity. Until now, all studies examining the validity of the TIPI-J have been conducted in the Japanese language; this reliance on a single language raises concerns about the instrument’s content validity because the instrument could demonstrate reliability (e.g., retest) and some forms of validity (e.g., convergent) but still not capture the full range of the dimensions as originally conceptualized in English. Therefore, to test the content validity of the Japanese TIPI with respect to the original Big Five formulation, we examine the convergence between scores on the TIPI-J and scores on the English-language Big Five Inventory (i.e., the BFI-E), an instrument specifically designed to optimize Big Five content coverage. Two-hundred and twenty-eight Japanese undergraduate students, who were all learning English, completed the two instruments. The results of correlation analyses and structural equation modeling demonstrate the theorized congruence between the TIPI-J and the BFI-E, supporting the content validity of the TIPI-J.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

Workplace spirituality, self-compassion and mindfulness as antecedents of employee mental wellbeing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jnaneswar K ◽  
M.M. Sulphey
Keyword(s):  
Structural Equation ◽  
Workplace Spirituality ◽  
Mental Wellbeing ◽  
Equation Modeling ◽  
Content Type ◽  
Self Compassion ◽  
R Program ◽  
Decision Making Capacity ◽  
Broaden And Build Theory ◽  
Relationship Of

PurposeMental wellbeing brings in multiple benefits to employees and their organizations like better decision-making capacity, greater productivity, resilience and so on. The purpose of this paper is to examine the relationship of a few antecedents of mental wellbeing like workplace spirituality, mindfulness and self-compassion, using structural equation modeling (SEM).Design/methodology/approachUsing the convenience sampling method, data were collected from 333 employees of various organizations in India and SEM was performed using the R Program to test the hypotheses.FindingsResults suggest that mindfulness and self-compassion influenced the mental wellbeing of employees. It was also observed that workplace spirituality has a significant influence on both mindfulness and self-compassion.Originality/valueAn in-depth review of the literature revealed that no previous studies had examined the complex relationship between workplace spirituality, mindfulness, self-compassion and the mental wellbeing of employees. This research suggests that workplace spirituality, mindfulness and self-compassion are important factors that influence employees' mental wellbeing, and it empirically tests this in a developing country context. The present study enriches the literature studies on mental wellbeing, mindfulness, self-compassion and workplace spirituality by integrating “mindfulness to meaning theory”, “socio-emotional selectivity theory”, and “broaden and build theory”.

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