Mirko Antino

Bridging Team Faultlines by Combining Task Role Assignment and Goal Structure Strategies

This study tests whether the detrimental effects of strong diversity faultlines on team performance can be counteracted by combining 2 managerial strategies: task role crosscutting and superordinate goals. We conducted a 2 (crosscut vs. aligned roles) × 2 (superordinate vs. subgroup goals) experimental study. Seventy-two 4-person teams with faultlines stemming from gender and educational major performed a complex decision-making task. The results show that teams with crosscut roles perform better when they are assigned a superordinate goal than a subgroup goal, whereas teams with aligned roles are not affected by goal manipulations. This effect is mediated by elaboration of task-relevant information. Implications for theory and management of team faultlines are discussed.

Faultlines and Subgroups: A Meta-Review and Measurement Guide

Research on faultlines—hypothetical dividing lines splitting a team into homogeneous subgroups based on team members’ attributes—has produced several meta-analyses, reviews, and algorithms for faultline and subgroup detection. To help navigate this complexity, we summarize the current theories underlying faultline and subgroup research. We also compare the two most recent algorithms for computational faultline/subgroup detection, offer a guideline for choosing adequate algorithms, and recommend measure combinations for future research. We further review empirical faultlines and subgroup research and show that different contextual factors exhibit a strong influence on the effects of faultlines and subgroups. We discuss the need for further theorization on faultlines that does not rely on attribute salience, which considers the number of aligning attributes and the consequences of faultlines at the subgroup level. We conclude considering new potential applications of the faultline construct.

Digital skills as a conditioning factor for digital political participation

Abstract While all forms of Internet activity have an impact on the lives of Internet users, some are particularly beneficial and allow people to improve their daily lives. One of such Internet use is Digital Political Participation (DDP). In this paper we seek to understand how the influence of digital skills on the adoption of Digital Political Participation practices may form the basis of a second level of digital divide and of a set of political inequalities. We operationalize the digital skills construct in terms of users’ Internet competence and level of appropriation. We hypothesize that digital skills have a significant influence on the adoption of beneficial uses of the Internet, such as DPP. At the same time, we examine whether digital skill levels are stratified by socio-demographic background, thereby generating political and social inequality. By looking at the Spanish case, we first tested the adequateness of the items chosen to measure these two dimensions. Second, we looked into sequences of multiple influences between socio-demographic variables and digital skills and between digital skills and DPP. The results show that socio demographic variables have an influence on digital skills. At the same time, digital skills have a strong influence on DPP.

Validating the Job Crafting Questionnaire (JCRQ): A multi-method and multi-sample study

ABSTRACT Job crafting presents a set of proactive behaviours in which employees may engage to alter the job content or their relations with others at work. In recent years, several measures have been developed to capture job crafting. In the present study, we test the validity and reliability of an existing Job Crafting Questionnaire (the JCRQ) in four studies: first, we test the scale validity of the JCRQ in a Spanish diary study (Spain, N = 164, diary occasions 820). Second, we test the scale validity across two Western (Spain, N = 164 and UK, N = 109) and two Eastern cultures (China, N = 170 and Taiwan, N = 165). Third, we test the test–retest reliability in a Spanish three-wave longitudinal sample (N = 191). Finally, we test the criterion validity using data from the four countries. Results confirm the presence of five independent job crafting dimensions: increasing challenging demands, decreasing social job demands, increasing social job resources, increasing quantitative demands and decreasing hindrance job demands. The JCRQ shows acceptable test–retest reliability, scale and criterion validity across the four studies.

Cross-domain consequences of workplace bullying: A multi-source daily diary study

ABSTRACT In this multi-source daily diary study, we examine the effect of exposure to workplace bullying behaviours on family domain outcomes (conflicts at home, relationship satisfaction), and the mediating role that psychological detachment and affective distress play in this relationship. A sample of 68 employees and their spouses filled in a quantitative diary for five consecutive working days twice a day (number of occasions = 680). Multilevel analyses showed that daily workplace bullying positively predicted both self-report and spouse-report conflicts at home, and daily psychological detachment mediated this relationship. In addition, daily affective distress was the mediator only for self-report conflicts at home. Further, an indirect effect of both affective distress and detachment on the relationship between bullying and self-reported relationship satisfaction was found. Detachment also showed an indirect role in the association between bullying and spouse-reported relationship satisfaction. This is one of the first studies in showing that negative effects of workplace bullying go beyond the work setting and beyond the employee. Moreover, this study adds to an emerging line of research exploring how daily negative work experiences are transferred to and interferes with the non-work domain. The theoretical and practical implications of these findings are discussed.

The use of digital social networks from an analytical sociology perspective: The case of Spain

Digital social networks have attracted the attention of a growing number of specialists. The use of digital tools such as Facebook, Twitter and YouTube to express socio-political demands or to perform protest actions has become a central issue for social science today. However, few studies analyse the factors behind this phenomenon using explanatory models based on analytical sociology and rational action. In this article, we take steps in this direction and study the socio-political use of social networks based on a methodological individualism model. Through an analysis of structural equations, we analyse how the individual and social factors involved in the use of the social networks to ‘do’ politics relate to one another. We conclude that attitudes towards the political possibilities of the Internet constitute an essential factor for this kind of political action.

Assessing a Measurement Model for Digital Political Participation: A Multidisciplinary Point of View

The events of the past year have drawn the attention of public opinion to the importance that the Internet can have for political and social change. Both the so-called Arab Spring and the Icelandic and Spanish new social movements were born and developed on the Internet. These movements are raising questions and arousing interest in the new type of political participation that is emerging through this tool: digital political participation (DPP). Our starting point is that we do not consider DPP as part of the broader concept of traditional political participation, but we consider it as a form of participation in itself. So, it is necessary to create a tool that would allow its measurement in order to understand what the limits and potential of this new phenomenon are. Thus, the objective of this study is to build a statistical tool to measure DPP together with the constructs that influence its implementation.

Evaluating positive leadership: pilot study on the psychometric properties of a reduced version of the Positive Leadership Assessment Scale / Evaluando el liderazgo positivo: estudio piloto de las propiedades psicométricas de una versión reducida del Positive Leadership Assessment Scale

Abstract Positive leadership is considered a fundamental factor which contributes significantly to the development of healthy organizations. Positive leadership has been address via other leadership models, primarily transformational and authentic leadership, with which some affinities have been established. Although there is a large body of literature on positive leadership, especially related to its practical aspects, the construct is not properly delimited and there are only a few relevant contributions on how to measure it. The purpose of this paper is to conduct a pilot study to examine the psychometric properties of a reduced version of the PLAS (Positive Leadership Assessment Scale). Results from a confirmatory factorial analysis show that a five-correlated factors model achieves a good fit with the empirical data (on a sample of Spanish students). Likewise, this study also offers a range of evidence of validity, showing a relationship with the constructs of both transformational and authentic leadership and engagement.

Rethinking the Exploration of Dichotomous Data: Mokken Scale Analysis Versus Factorial Analysis

The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares Mokken scale analysis (MSA) and two-factor-based exploratory techniques for noncontinuous variables: item factor analysis and Normal Ogive Harmonic Analysis Robust Method (NOHARM). Comparisons are conducted across techniques and in reference to the common principal component analysis model using simulated data under conditions of two-dimensionality with different degrees of correlation (r = .0 to .6). The second study shows the theoretical and practical results of using MSA and NOHARM (the factorial technique which functioned best in the first study) on two nonsimulated data sets. The nonsimulated data are particularly interesting because MSA was used to solve a theoretical debate. Based on the results from both studies, we show that the ability of NOHARM to detect dimensionality and scalability is similar to MSA when the data comprise two uncorrelated latent dimensions; however, NOHARM is preferable when data are drawn from instruments containing latent dimensions weakly or moderately correlated. This article discusses the theoretical and practical implications of these findings.

Adaptation of the short version of the Psychological Capital Questionnaire (PCQ-12) into Spanish / Adaptación al español de la versión reducida del Cuestionario de Capital Psicológico (PCQ-12)

Abstract Psychological capital (PsyCap) has been a topic of increasing interest in the last decade. However, there is a lack of validated instruments in Spanish to map PsyCap and its consequences for individuals’ well-being. Consequently, the goal of this study is to adapt the 12-item short version of the Psychological Capital Questionnaire (PCQ-12) to the Spanish context by analysing its internal consistency and reliability, factor solution and external validity. Results indicated that the PCQ-12 exhibited good Cronbach’s alpha (.87) and omega coefficient (.93) values in a sample from a vehicle inspection company (n = 798). As expected, results also revealed that a second-order factor structure provided the best fit. Moreover, PsyCap is associated with increased job engagement (β = .579; R2adjusted = .333), decreased job burnout (β = −.409; R2adjusted = .166), and lower psychological distress (β = −.349; R2adjusted = .121) (all p < .01), which provided additional support for using the PCQ-12 in the Spanish context. Implications for theory and practice are discussed.