What do we measure and how do we elicit it? The case for the use of repertory grid technique in multi-party psychological contract research

ABSTRACT

The psychological contract is a multi-faceted construct and, with the rise of gig work, increasingly the contract extends beyond the conventional employer-employee relationship to encompass multi-party exchanges. Against this backdrop, the question of what should be measured when assessing the contract and how it should be elicited remains a significant issue for scholars. We argue that the potential of psychological contract theory as an explanatory lens in understanding contemporary multi-party working relationships is constrained by two key limitations inherent in conventional measurement approaches. Firstly, such approaches have favoured singular rather than multiparty perspectives, and secondly, they have broadly accorded equal weight and significance to the content dimensions unearthed, despite the fact that they may differ markedly in how they are understood by each party to the employment relationship. In order to remedy these shortcomings, we make the case for adopting repertory grid technique as a methodological framework to address measurement limitations and to more rigorously assess the content of the complex multi-party psychological contract.     

A Note on the Conversion of Item Parameters Standard Errors

The relations among alternative parameterizations of the binary factor analysis (FA) model and two-parameter logistic (2PL) item response theory (IRT) model have been thoroughly discussed in literature. However, the conversion formulas widely available are mainly for transforming parameter estimates from one parameterization to another. There is a lack of discussion about the standard error (SE) conversion among different parameterizations, when SEs of IRT model parameters are often of immediate interest to practitioners. This article provides general formulas for computing the SEs of transformed parameter values, when these parameters are transformed from FA to IRT models. These formulas are suitable for unidimensional 2PL, multidimensional 2PL, and bi-factor 2PL models. A simulation study is conducted to verify the formula by providing empirical evidence. A real data example is given in the end for an illustration.     

Testing attitudes,social desirability and behavioral regulations as moderators of implicit-explicit exercise discrepancies: A replication study in Iranian students

IntroductionThere is mixed evidence regarding moderators of the relationship between implicitly and explicitly measured constructs. This study examined this issue with evaluations of exercise relative to health or appearance in a sample of Iranian adolescents. Investigaing automatic associations and reflective constructs might provide important implications for developing interventions targeting exercise behavior in a population with different cultural, social, and economic barriers to exercise than European or North American adolescents.MethodsParticipants were 471 students enrolled in grades 9 to 12, of whom 269 (54.9%) were female. Behavioral regulations, explicit attitudes, and social desirability were investigated as possible moderators. All students completed questionnaire measures of physical activity behavior, attitudes, social desieality and behavioral regulation. They also completed two Go/No Go Association tasks to measure automatic associations of exercise with health and apperarance.ResultsAttitude was a significant moderator of discrepancies between automatic associations of exercise with health and health motives. Interjected regulation moderated implicit-explicit appearance discrepancies. Participants with low social desirability and negative automatic appearance associations had the highest appearance motivation.ConclusionsParticipants focused on the potential of achieving positive health outcomes of exercise rather than physical appearance outcomes, which differs from research from other countries. It is possible that, health was strongly linked with exercise by the pervasive societal pressures in Iran to have a healthy body.     

Comparison of Common Amplitude Metrics in Event-Related Potential Analysis

Abstract

Waveform data resulting from time-intensive longitudinal designs require careful treatment. In particular, the statistical properties of summary metrics in this area are crucial. We draw on event-related potential (ERP) studies, a field with a relatively long history of collecting and analyzing such data, to illustrate our points. In particular, three summary measures for a component in the average ERP waveform feature prominently in the literature: the maximum (or peak amplitude), the average (or mean amplitude) and a combination (or adaptive mean). We discuss the methodological divide associated with these summary measures. Through both analytic work and simulation study, we explore the properties (e.g., Type I and Type II errors) of these competing metrics for assessing the amplitude of an ERP component across experimental conditions. The theoretical and simulation-based arguments in this article illustrate how design (e.g., number of trials per condition) and analytic (e.g., window location) choices affect the behavior of these amplitude summary measures in statistical tests and highlight the need for transparency in reporting the analytic steps taken. There is an increased need for analytic tools for waveform data. As new analytic methods are developed to address these time-intensive longitudinal data, careful treatment of the statistical properties of summary metrics used for null hypothesis testing is crucial.     

Exploration of anomalous perceptual experiences in migraine between attacks using the Cardiff Anomalous Perceptions Scale

Distortions in sensory experiences that precede a migraine attack have been extensively documented, the most well-known being the visual aura. Distortions in the experience of other senses are also reported as part of an aura, albeit less frequently, together with changes in the perception or ownership of the body or body parts. There are many examples of differences in aspects of visual perception between migraine and control groups, between attacks, but not as much on unusual experiences involving other senses, the sense of the body or the experience of the environment. Seventy-seven migraine (33 with aura) and 74 control participants took part. Anomalous perceptions were experienced by both migraine and control groups, but more with migraine experienced them and rated them as more distressing, intrusive and frequent. Associations with reports of visual triggers of migraine and visual discomfort are presented. This study is the first to show relationships between these factors.