1,720,974 research outputs found
Structural validity and classification performance of the Italian Short Negative Acts Questionnaire: A Structural Equation Modeling approach for building ROC curves
Full text linkWe investigated the structural (internal) validity and classification performance of the Italian Short Negative Acts Questionnaire (SNAQ), a 9-item self-report instrument assessing bullying at work. Consistent with recent attention of researchers to control measurement error in predictive models (Jacobucci & Grimm, Perspectives on Psychological Science, 15(3), 809–816 2020), classification performance was investigated through a proposed novel procedure that uses Structural Equation Modeling for building ROC curves. Participants included 357 workers (females = 50.4%) from various sectors. Our results showed that (a) the Italian SNAQ demonstrates adequate levels of structural validity; (b) its classification performance (in terms of self-labeled bullying) is outstanding; and (c) the ROC curves estimated by means of Structural Equation Modeling outperform those estimated with classical observed-variable approaches. In conclusion, we provided further evidence regarding the good psychometric properties of the Italian SNAQ and we also offered a novel approach for estimating ROC curves that does not neglect the issue of measurement quality
Manipulation of Intensive Longitudinal Data: A Tutorial in R With Applications on the Job Demand-Control Model
No full textIntensive longitudinal designs (ILD) are increasingly used in applied psychology to investigate research questions and deliver interventions at both within- and between-individual levels. However, while relatively complex analyses such as cross-level interaction models are trending in the field, little guidance has been provided on ILD data manipulation, including all procedures to be applied to the raw data points for getting the final dataset to be analysed. Here, we provide an introductory step-by-step tutorial and open-source R code on required and recommended data pre-processing (e.g., data reading, merging and cleaning), psychometric (e.g., level-specific reliability), and other ILD data manipulation procedures (e.g., data centering, lagging and leading). We built our tutorial on an illustrative example aimed at testing the job demand-control model at the within-individual level based on data from 211 back-office workers who received up to 18 surveys over three workdays, supporting both the strain and (partially) the buffer hypotheses. Being the common starting point of many types of analyses, data manipulation is crucial to determine the quality and validity of the resulting study outcomes. Hence, this tutorial and the attached code aim to contribute to removing methodological barriers among applied psychology researchers and practitioners in the handling of ILD data
The effect of individual, group, and shared organizational identification on job satisfaction and collective actual turnover
Full text linkDrawing on the Social Identity Approach principles, we explored the relationship between organizational identification (individual, group, and shared), job satisfaction, and collective actual turnover. We hypothesize that (a) shared identification moderates the within-person relationship between individual organizational identification and job satisfaction, namely, the effect is stronger for groups in which the level of shared organizational identification is higher; (b) group job satisfaction mediates the relationship between group organizational identification and collective actual turnover. This study was conducted in a large Italian firm (N = 1090; sale locations = 91). Data were collected using both surveys (e.g., job satisfaction) and archive data (collective actual turnover). By means of Bayesian Multilevel Structural Equation Models, we supported the moderating role played by shared organizational identification in the relationship between individual organizational identification and job satisfaction, while no evidence was found for the mediational hypothesis. We discuss the theoretical and practical implications for management
A comprehensive analysis of the psychometric properties of the contingencies of self-worth scale (CSWS)
Full text linkThe Contingencies of Self-Worth Scale (CSWS) is a widely used personality self-report questionnaire developed for measuring the domains in which self-esteem is sustained by successes and achievements as well as threatened by obstacles and failures. Two studies (N study1 = 453, N study2 = 293) aimed to further refine our knowledge of its psychometric properties. Results attested that, at the first-order level, the originally hypothesized seven-factor model proved to be the best-fitting one, but the inclusion of a method factor significantly improved the fit to the data. At the second-order level, the model with two higher-order variables representing private sphere and public sphere of CSW fit better than alternative models. Finally, there was evidence that first- and second-order domains had a good degree of construct and discriminant validity. Overall, these studies provided a step forward in refining the psychometric structure of the CSWS
The validity of the higher-order structure of effortful control as defined by inhibitory control, attention shifting, and focusing: A longitudinal and multi-informant study
No full textObjective: Effortful control (EC) has been conceptualized as a higher-order construct defined by a class of self-regulatory mechanisms. However, the developmental higher-order structure of EC has seldom been investigated with a thorough psychometric analysis. To begin to fill this gap in the literature, data were obtained from parents and teachers of 185 children (age at T1: M = 9.43 y/o, SD = 1.17) every 2 years for 8 years. Method: We used a structural equation modeling approach for assessing if EC develops as a higher-order factor superordinate to three commonly studied self-regulatory mechanisms, namely inhibitory control (IC), attention focusing (AF), and attention shifting (AS). Results: Results showed that (a) IC, AF, and AS followed a similar pattern of growth, (b) EC displayed an acceptable degree of scalar longitudinal invariance when operationalized as a latent variable indicated by IC, AF, and AS, (c) a higher-order structure explained the co-development of IC, AF, and AS, and (d) stability and change in EC negatively predicted externalizing symptoms, much better than the stability and change of IC, AF, and AS, but only for parents' reports. Conclusion: Overall, the higher-order structure of EC was supported, but our results also indicated that there is a certain degree of uniqueness in its facets
It's an e-work life! An explorative study on the relationships between e-work characteristics and well-being
No full textThis study investigates how remote e-working characteristics are related to employees’ well-being in Italy. We conducted a longitudinal study with two time points and a 1-month time lag, involving a final sample of 223 employees. Controlling for the auto-regressive effects of all the outcomes, our results revealed that experiencing work-life balance during e-working was negatively associated with emotional exhaustion and social isolation, while it was positively related to career progression. Organisational trust also showed a positive relationship with career progression. Regarding well-being indicators of e-working, cognitive weariness during e-working was positively linked to emotional exhaustion, social isolation and physical complaints. Lastly, social isolation was negatively associated with subsequent perceptions of career progression. These findings contribute to a better understanding of the factors in e-work related to different well-being outcomes and can inform organisational interventions aimed at enhancing the well-being of employees working remotely
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
