The core self-evaluation scale: psychometric properties of the german version in a representative sample

Social Identity, Core Self-Evaluation, School Adaptation, and Mental Health Problems in Migrant Children in China: A Chain Mediation Model

(1) Background: The present study investigated the relationships between social identity, core self-evaluation, school adaptation, and mental health problems in migrant children, and the mechanism underlying these relationships; (2) Methods: The participants were migrant middle school students in China. Data analysis was conducted using SPSS version 26. A survey comprising the social identity scale, core self-evaluation scale, school adaptation scale, and mental health scale MMHI-60 was deployed; (3) Results: Findings indicated a significant and negative association between social identity and mental health problems, and such an association was sequentially mediated by core self-evaluation and school adaptation. Furthermore, core self-evaluation and school adaptation played a chain mediation role between social identity and migrant children's mental health problems; (4) Conclusions: It is crucial to improve social identity, core self-evaluation, and school adaptation to reduce mental health problems among this population. Therefore, the research results provide a new direction for promoting the development of mental health education for migrant workers and their children in China.

How a Few Inconsistent Respondents Can Confound the Structure of Personality Survey Data

Abstract. In survey data, inconsistent responses due to careless/insufficient effort (C/IE) can lead to problems of replicability and validity. However, data cleaning prior to the main analyses is not yet a standard practice. We investigated the effect of C/IE responses on the structure of personality survey data. For this purpose, we analyzed the structure of the Core-Self Evaluations scale (CSE-S), including the detection of aberrant responses in the study design. While the original theoretical model of the CSE-S assumes that the construct is unidimensional ( Judge et al., 2003 ), recent studies have argued for a multidimensional solution (positive CSE and negative CSE). We hypothesized that this multidimensionality is not substantive but a result of the tendency of C/IE data to generate spurious dimensions. We estimated the confirmatory models before and after removing highly inconsistent response vectors in two independent samples (6% and 4.7%). The analysis of the raw samples clearly favored retaining the two-dimensional model. In contrast, the analysis of the clean datasets suggested the retention of a single factor. A mere 6% C/IE response rate showed enough power to confound the results of the factor analysis. This result suggests that the factor structure of positive and negative CSE factors is spurious, resulting from uncontrolled wording variance produced by a limited proportion of highly inconsistent response vectors. We encourage researchers to include screening for inconsistent responses in their research designs.

Core self-evaluation, mental health and mobile phone dependence in Chinese high school students: why should we care

Background

Mobile phone dependence is a common problem in the population of high school students. We aimed to evaluate the core self-evaluation, mental health and mobile phone dependence in Chinese high school students, to provide reliable evidence to the support of high school students.

Methods

We conducted a survey of high school students in Xiamen, China. The self-assessment questionnaire on mobile phone use dependence among teenagers (SQAPMPU), Mental Health Scale for Middle School Students (MSSMHS) and Core self-evaluation scale were used to evaluate the mobile phone dependence, mental health and core self-evaluation. t-tests, Pearson correlation and multiple linear stepwise regression analyses were conducted to analyze the potential relationships.

Results

A total of 1692 students were enrolled. The total score of mobile phone dependence of students in grades 10–12 was higher than that of students in grades 7–9. A total of 329 students in grades 7–9 and 371 students in grades 10–12 had abnormal mental status. The detection rate of psychological abnormalities among students in grades 10–12 was higher than that of students in grades 10–12. Core self-evaluation had significantly negative correlation with various factors of mental health (P < 0.01). The worse the mental health, the higher the degree of mobile phone dependence, core self-evaluation played a mediating role between mental health and mobile phone dependence (8.03%).

Conclusions

Core self-evaluation is an important factor affecting the mental health of high school students and mobile phone dependence. Educators should strengthen core self-evaluation of high school students to improve the mental health and reduce the mobile phone dependence.

From Bi-Dimensionality to Uni-Dimensionality in Self-Report Questionnaires

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.

Assessing Procrastination

Abstract. The short form of the General Procrastination Scale (GPS-K; Klingsieck & Fries, 2012 ; Lay, 1986 ) is a reliable self-report scale measuring general procrastination. The presumed one-dimensional factor structure of the scale, however, has never been examined. Thus, the purposes of this representative study were to examine its dimensionality and factorial invariance across age and sex, and to provide norm values of the German general population. The GPS-K was administered to a representative community sample ( N = 2,527; age range 14–95 years). A confirmatory factor analysis (CFA) was conducted. To explore convergent validity, standardized scales of distress and life satisfaction were used. Measurement invariance across sex and age was tested. The CFA revealed an unsatisfactory model fit of the presumed unidimensional factor structure of the GPS-K. Therefore, a 5-item one-dimensional version of the scale was suggested (General Procrastination Scale – Screening; GPS-S). Correlations between GPS-S, distress and reduced life satisfaction provide evidence on its convergent validity. The one-dimensional GPS-S can be assumed to be scalar invariant across sex and for participants older than 29 years. The scale can be administered in only a few minutes providing an economic screening for research and practice.

Psychometric Properties of the Indebtedness Scale (IS-R) in Spanish University Students

The importance of trait indebtedness in the context of the study of gratitude has been growing in recent years, since both constructs form complex dynamics in response to the reception of a gift. In this work, the disposition to feel indebtedness is studied, through analysis of convergence and divergence, exploratory, and confirmatory analysis in the Spanish population, with the most used measurement instrument, i.e. The Revised Indebtedness Scale, IS-R. This scale depicted a four factor solution interrelated with a high consistency of content, which allows their labeling and describing. To do this, two samples of university students were selected; one of the sample sizes had 229 participants and the other 200 participants. Results also indicated good internal consistency described as follows: Debt for material aspects (α = 0.81), Self-sufficiency and discomfort in receiving help (α = 0.82), Moral self-demand in the reception of help (α = 0.83) and Debt in the receipt of gifts (α = 0.75). Furthermore, it was suggested that the relationships between gratitude and indebtedness are complex: on the one hand, all the indebtedness factors are inversely correlated with gratitude, such as the GQ5, although only Self-sufficiency and discomfort in receiving help and Debt in the receipt of gifts are such to a significant extent. However, the Interpersonal Gratitude scale of the G-20 depicted low correlations only with the Self-sufficiency and discomfort. The results are discussed in relation to the need for conceptual definition of the constructs in Positive Psychology.

Structural validation of the Self-Compassion Scale with a German general population sample

Background

Published validation studies have reported different factor structures for the Self-Compassion Scale (SCS). The objective of this study was to assess the factor structure of the SCS in a large general population sample representative of the German population.

Methods

A German population sample completed the SCS and other self-report measures. Confirmatory factor analysis (CFA) in MPlus was used to test six models previously found in factor analytic studies (unifactorial model, two-factor model, three-factor model, six-factor model, a hierarchical (second order) model with six first-order factors and two second-order factors, and a model with arbitrarily assigned items to six factors). In addition, three bifactor models were also tested: bifactor model #1 with two group factors (SCS positive items, called SCS positive) and SCS negative items, called SCS negative) and one general factor (overall SCS); bifactor model #2, which is a two-tier model with six group factors, three (SCS positive subscales) corresponding to one general dimension (SCS positive) and three (SCS negative subscales) corresponding to the second general dimension (SCS negative); bifactor model #3 with six group factors (six SCS subscales) and one general factor (overall SCS).

Results

The two-factor model, the six-factor model, and the hierarchical model showed less than ideal, but acceptable fit. The model fit indices for these models were comparable, with no apparent advantage of the six-factor model over the two-factor model. The one-factor model, the three-factor model, and bifactor model #3 showed poor fit. The other two bifactor models showed strong support for two factors: SCS positive and SCS negative.

Conclusion

The main results of this study are that, among the German general population, six SCS factors and two SCS factors fit the data reasonably well. While six factors can be modelled, the three negative factors and the three positive factors, respectively, did not reflect reliable or meaningful variance beyond the two summative positive and negative item factors. As such, we recommend the use of two subscale scores to capture a positive factor and a negative factor when administering the German SCS to general population samples and we strongly advise against the use of a total score across all SCS items.

Gain +1 or Avoid -1: Validation of the German Regulatory Focus Questionnaire (RFQ)

Background

The Regulatory Focus Questionnaire (RFQ) assesses regulatory promotion and prevention focus, which represent orientations towards gains or losses. The main objective of this study was to examine the psychometric properties of the newly translated German version.

Methods

A sample of 1024 participants answered the questionnaire and several related instruments. We used an online survey tool to collect this data. Data analysis was conducted using methods of exploratory and confirmatory factor analysis in SPSS and AMOS.

Results

The RFQ displayed acceptable reliability, while its correlations with other, related psychological constructs indicated good validity. Factor analysis showed good fit for a two-dimensional model. Tests of measurement invariance revealed clear evidence for metric invariance while scalar invariance remained uncertain. Differences in regulatory focus based on sociodemographic characteristics are reported and discussed.

Conclusions

Overall, the RFQ can be recommended for application in fields dealing with motivation and goal attainment in a broad sense.

Psychometric Properties of the German Version of the Health Regulatory Focus Scale

The Health Regulatory Focus Scale (HRFS) is a short scale which measures an individual's prevention and promotion focus in a health-specific context. The main objective of this study was to examine the psychometric properties of the newly translated German version of the HRFS. Reliability and item characteristics were found to be satisfactory. Validity of both subscales toward other psychological constructs including behavioral approach and avoidance, core self-evaluations, optimism, pessimism, neuroticism, as well as several measures of physical and mental health was shown. In addition, invariance of the measure across age and gender groups was shown. Exploratory as well as confirmatory factor analyses clearly indicated a two-factorial structure with a moderate correlation between the two latent constructs. Differences in health promotion and prevention focus between socio-demographic groups are discussed. The HRFS is found to be a valid and reliable instrument for the assessment of regulatory focus in health-related environments.