What type of worker are you? Work-related Inventory (WI-10): A comprehensive instrument for the measurement of workaholism

Antecedents of Workaholism and Work Engagement: A Motivational Perspective in Research on Heavy Work Involvement

In this perspective article, we propose encompassing the motivational perspective to enrich future studies on two forms of heavy work involvement (HWI): workaholism and work engagement. Based on the holistic definition of motivation, we build a theoretical instrumentation that includes four motivational categories that are presented and characterized by relevant key terms: I. Activation and energy of action; II. Action orientation and action realization; III. Competencies and cognitive processes; IV. Work environment and the context of action. We use these categories in an analysis of the latest contemporary research which has investigated the motivational determinants of both workaholism and work engagement. Our analysis shows that studies in this perspective are in the initial stages; we propose examples of theories and models as well as important precise questions embedded in each I-IV motivation category that can stimulate future research directions. The concluding comments include three main recommendations for future research on HWI.

Workaholism Scales: Some Challenges Ahead

Although extensively used in the academic literature, workaholism as a concept has been explained in different ways, which has influenced the development and use of some measurement tools. As such, this article aims to address the subject through a systematic study review focusing on articles where the main objective was to develop, adapt, or analyze the psychometric properties of a workaholism scale. The main purpose is to describe the state of the art concerning workaholism measurement tools, highlighting trends and research perspectives for further research. In essence, this study may serve as a summary and starting point for scholars interested in measuring workaholism. It was observed that the discrepancy concerning the definition of workaholism has resulted in scales that attempt to evaluate diverging conceptualizations. Moreover, each scale has been readapted when tested in different countries. For further investigations, it is important to converge the concept of workaholism and validate the scales across differing contexts, regarding the industry, culture, and country of the sample.

Heavy Study Investment: An Analysis of the Defense Mechanisms Characterizing Studyholism and Study Engagement

Defense mechanisms are unconscious processes that protect a person from excessive anxiety. They are part of everyday functioning, and mature defenses are associated with positive outcomes. However, the excessive use of defenses or the use of immature defenses is associated with psychopathology. The present study aims to analyze the defense mechanisms that characterize two types of heavy study investment: Studyholism and Study Engagement. We performed a path analysis, MANOVAs, and binary logistic regressions on 422 Italian college students (Mage = 22.56 ± 2.87; 63.5% females). Among the main findings, the strongest (and positive) predictor of Studyholism is regression (maladaptive defense), while for Study Engagement, it is task-orientation (adaptive defense). Hence, Studyholism might be defined as a new potential clinical condition. Additionally, a critical analysis of all the defense mechanisms predicting Studyholism supports the appropriateness of the OCD-related framework for conceptualizing Studyholism. Regarding Study Engagement, even if generally associated with a positive defense style, the finding that it is positively predicted by projection confirms previous studies suggesting that, for some students, it might constitute a coping strategy with paranoid symptoms (and social anxiety and anxiety). Hence, we recommend screening engaged students for social impairment and clinically relevant symptoms that might be hidden by hard studying.

The assessment of heavy work investment: Psychometric properties of the WI-10 on a sample of Israeli workers

BACKGROUND: Heavy Work Investment (HWI) is a construct that covers both positive and negative behaviors characterized by a high investment of time and energy in working (work engagement and workaholism, respectively). In the literature, it has been introduced, recently, the Work-related Inventory (WI-10) that allows evaluating four types of worker, three of which are HWIs: disengaged workaholics, engaged workaholics, engaged workers, and detached workers. OBJECTIVE: This study aims to validate the Hebrew WI-10 on Israeli workers. METHODS: We recruited a convenient sample of 459 workers (about half females and half males) with a mean age of 37.12±10.33. We performed Confirmatory Factor Analysis, convergent and divergent validity analyses. Finally, we calculated the cut-off scores corresponding to high and low workaholism and work engagement. RESULTS: We found support for the 10-item (2 filler) and 2-factor structure (Workaholism and Work Engagement) of the WI-10, as well as for its good psychometric properties. CONCLUSIONS: The WI-10 may be used in future research aimed at disentangling the question about the positive and adverse effects that might be associated with different types of HWI.

Studyholism: A New Obsessive-Compulsive Related Disorder? An Analysis of Its Association With Internalizing and Externalizing Features

Studyholism (or obsession toward study) is a new potential obsessive-compulsive (OCD)-related disorder recently introduced in the literature. According to its theorization, there are two types of Studyholic: Engaged and Disengaged Studyholics, which are characterized, respectively, by high and low levels of Study Engagement. This study aims to shed light on the role of internalizing and externalizing features as antecedents and outcomes of Studyholism and Study Engagement. Moreover, it aims to analyze the differences in psychopathology and sensation seeking between students demonstrating Disengaged and Engaged Studyholism. We performed four path analyses, MANOVAs, and Mann–Whitney tests on 1,223 Italian college students (M_age = 22.56 ± 3.53). Among the main findings, Studyholism is associated with psychological and academic impairment, while Study Engagement predicts better mental health and academic functioning; though, the β values are lower for Study Engagement. Moreover, Studyholism is positively predicted by internalizing symptoms and negatively predicted by externalizing variables. Finally, students showing Engaged Studyholism have lower levels of obsessive-compulsive symptoms than those demonstrating Disengaged Studyholism. In conclusion, this study shows the critical importance of implementing preventive interventions aimed at reducing Studyholism levels in college students. Moreover, it provides support to the conceptualization of problematic overstudying as a new potential OCD-related disorder and to the value of distinguishing between Engaged and Disengaged Studyholics for tailored clinical interventions. Finally, it highlights the need to use two different theorizations and operationalizations for problematic overworking and overstudying. However, the literature on problematic overstudying is too scant to reach any firm conclusion. Hence, future studies should deepen the analysis of problematic overstudying, possibly using longitudinal designs, to unveil its internalizing and/or externalizing nature.

Studyholism and Study Engagement: What about the Role of Perfectionism, Worry, Overstudy Climate, and Type of School in Adolescence?

This study aims to deepen the analysis of Studyholism (or obsession toward study) on a sample of 793 Italian adolescents (Mage = 16.30 ± 1.73; 53% boys). A path analysis model including potential antecedents (i.e., worry, study-related perfectionism, perfectionistic strivings and concerns, overstudy climate, type of school) and outcomes (e.g., grade point average, time spent studying, psychological well-being) of Studyholism was tested. In line with previous findings on college students, this study supported the conceptualization of problematic overstudying as an OCD-related disorder, since worry is the strongest predictor of Studyholism. Moreover, among the main findings, it confirmed that Studyholism is associated with negative academic outcomes, while Study Engagement predicts positive academic outcomes. Finally, it also confirmed that both Studyholism and Study Engagement predict social impairment. In conclusion, preventive interventions to favor students' academic success and well-being should reduce perfectionistic concerns and study-related perfectionism and enhance time management skills (in Engaged students too). For reducing Studyholism, instead, the primary target should be trait worry. Finally, preventive interventions should be implemented across all the school types and possibly during childhood or pre-adolescence to avoid the increase in psychological and social impairment that has been found to be associated with Studyholism in youths. It is also essential to detect potential early risk indicators (especially among individual factors) of Studyholism in childhood.

Cross-cultural adaptation, from Dutch to Swedish language, of the Individual Work Performance Questionnaire

BACKGROUND

There is a need for a short, self-rated, validated and reliable instrument for individual work performance suitable for generic use in the Swedish work and organizational context. The Individual Work Performance Questionnaire (IWPQ), comprising originally 47 items, was initially developed in the Netherlands, based on a four-dimensional conceptual framework, in which individual work performance consisted of task performance, contextual performance, adaptive performance, and counterproductive work behavior. During the development process, IWPQ was shortened to 18 items with three scales formally labeled as Task performance, Contextual performance, and Counterproductive work behavior (CWB), capturing three work performance types. The current version of the IWPQ, consisting of 18 items and three scales, was then translated as well as cross-culturally adapted to American-English and Indonesian contexts.

OBJECTIVES

To translate and adapt the current IWPQ version, consisting of 18 items, from the Dutch to the Swedish context, to assess its content validity through cognitive interviews, to apply it to a pilot group to present descriptive statistics, to calculate the questionnaire's internal consistency, as well as to clarify whether the translated items capture three or four performance types.

METHODS

The Dutch version of the IWPQ, consisting of 18 items, was translated into Swedish. A six-stage translation and adaptation process was used: forward translation, synthesis, back translation, harmonization, cognitive interviews, revision, and sampling and analyses of pilot data for 206 managers (149 women) from five Swedish municipalities.

RESULTS

IWPQ instructions, wording of a few items and one response form were slightly modified. The pilot testing showed Cronbach's alphas similar to the Dutch version of the IWPQ, ranging between 0.73 and 0.82, good mean-inter-item correlations (all above 0.36). In deciding how many factors to retain, we employed both parallel analysis (PA), and Velicer's minimum average partial (MAP) test. The number of factors to retain was, as indicated by PA, four, and by MAP, three or four. Exploratory factor analysis (principal axis factoring) revealed clearly separate factors, corresponding to four, rather than three, performance types. A new factor, roughly representing adaptive performance, comprised in the original, longer version of the IWPQ, emerged.

CONCLUSIONS

The Swedish version of the IWPQ was successfully translated and adapted in a pilot group of managers. Before it is used, it should be validated in a larger group of managers and in more heterogeneous groups of both white- and blue-collar workers.

Heavy Study Investment in Italian College Students. An Analysis of Loscalzo and Giannini's (2017) Studyholism Comprehensive Model

Loscalzo and Giannini (2017) recently proposed the construct of studyholism (or obsession toward study) and a theoretical model highlighting its potential antecedents and outcomes. This study aims to analyze some of these antecedents and outcomes by means of a path analysis including both studyholism and study engagement. The participants are 1,958 Italian college students aged between 18 and 60 years (M age = 23.53 ± 4.43) and heterogeneous as far as their year and major of study are concerned, as well as concerning the city in which they attended their courses. They filled some instruments that allow evaluating studyholism and study engagement, along with individual and situational antecedents (e.g., worry and overstudy climate) and outcomes (e.g., sleep quality, study-relationships conflict, dropout intention). In addition to the path model we performed aiming to test the direct effects we hypothesized, we performed two MANOVAs for analyzing if there were differences on the antecedents and outcomes among the four kinds of student suggested by Loscalzo and Giannini (2017; i.e., engaged studyholics, disengaged studyholics, engaged students, and detached students). The results of this study support Loscalzo and Giannini's (2017) conceptualization of studyholism as an internalizing disorder, since worry is the strongest predictor of studyholism (β = .67, p < .001). In addition, in line with Loscalzo and Giannini's (2017) theorization, we found some differences among the four kinds of student on both the antecedents and outcomes we analyzed. This study has critical theoretical, preventive, and clinical implications. It supports the definition of studyholism as an OCD-related disorder. Also, about preventive implications, it shows that interventions aiming to favor students' wellbeing should target also engaged students, since study engagement predicts social impairment as well as studyholism. Finally, it suggests that in a clinical setting, it is important to distinguish between disengaged studyholics and engaged studyholics as they have different relationships with some antecedents and outcomes; also, they both have functional impairment, even if in different areas.