Two-step weighted least squares factor analysis of dichotomized variables

A two-step weighted least squares estimator for multiple factor analysis of dichotomized variables is discussed. The estimator is based on the first and second order joint probabilities. Asymptotic standard errors and a model test are obtained by applying the Jackknife procedure.     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.     

Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items

In analyzing responses and response times to personality questionnaire items, models have been proposed which include the so-called “inverted-U effect.” These models predict that response times to personality test items decrease as the latent trait value of a given person gets closer to the attractiveness of an item. Initial studies into these models have focused on dichotomous personality items, and more recently, models for Likert-type scale items have been proposed. In all these models, it is assumed that the inverted-U effect is symmetrical around 0, while, as will be explained in this article, there are substantive and statistical reasons to study this assumption. Therefore, in this article, a general inverted-U model is proposed which accommodates two sources of asymmetry between the response times and the attractiveness of the items. The viability of this model is demonstrated in a simulation study, and the model is applied to the responses and response times of the Temperament and Character Inventory–Revised, covering a broad range of personality dimensions.     

Looking at remembering: Eye movements,pupil size,and autobiographical memory

To examine the relationship between visual imagery and autobiographical memory, eye position and pupil size were recorded while participants first searched for memories and then reconstructed the retrieved memories (Experiment 1), or only searched for memories (Experiment 2). In Experiment 1, we observed that, although recollective experience was not associated with the number of fixations per minute, memories that took longer to retrieve were linked to increased pupil size. In Experiment 2, we observed that directly retrieved memories were recalled more quickly and were accompanied by smaller pupils than generatively retrieved memories. After correcting for response time, retrieval mode also produced an effect, showing that decreased pupil size is not simply due to directly retrieved memories being recalled more quickly. These findings provide compelling evidence that objective measures, such as pupil size, can be used alongside subjective measures, such as self-reports, to distinguish between directly retrieved and generatively retrieved memories.     

Factorial validation and measurement invariance of the French version of the multidimensional competitive orientation inventory (FVMCOI) in the sport field

IntroductionLittle is known about the importance of the adaptive, maladaptive and neutral facets of competitive orientations among French athletes.ObjectiveThe aim of this study is to test the factorial validation and measurement invariance of the French version of the multidimensional competitive orientation inventory (FVMCOI) from the original version (MCOI, Orosz et al., 2018), which included 12 items and four factors (i.e., hypercompetitive orientation, self-developmental competitive orientation, anxiety-driven competition avoidance, and lack of interest toward competition).MethodA series of three complementary studies was carried out with a total sample of 891 competitors.ResultsFollowing cross-cultural validation methods a preliminary version of the FVMCOI was constructed and the clarity of its items was established (study 1). Then, exploratory structural equation modeling (ESEM) confirmed that the four-factor model for the FVMCOI was factorially valid, and consistent with the model of the original version. As such, the multiple-group invariance tests showed that the FVMCOI was partially invariant across both age and gender and fully invariant across type of sport, level of competition and over time (study 2). Finally, the concurrent validity of the FVMCOI was demonstrated through its expected relationships with achievement goals, competitive aggressiveness and anger in sport (study 3).ConclusionThe establishment of the FVMCOI extends the research in sport psychology by allowing an extensive psychometric study of the MCOI in the sport domain and providing deeper insights into the healthy, unhealthy, and neutral nature of competitive orientation in this context. The FVMCOI's potential practical applications in sport context, with some limitations and perspectives of this study, are also discussed.     

A Longitudinal Person-Centered Perspective on Positive and Negative Affect at Work

Abstract

This research examines how the direction and intensity of employee’s positive and negative affect at work combine within different profiles, and the relations between these profiles and theoretically-relevant predictors (psychological need satisfaction and supervisor autonomy support) and outcomes (work-family conflict, absenteeism, and turnover intentions). A total sample of 491 firefighters completed our measures initially, and 139 of those completed the same measures again four months later, allowing us to examine the stability of these affect profiles over time. Latent profile analyses and latent transition analyses revealed five identical profiles across the two measurements occasions: (1) Low Negative Affect Facilitators; (2) Moderately Low Positive Affect Incapacitators; (3) High Positive Affect Facilitators; (4) Very Low Positive Affect Incapacitators; and (5) Normative. Membership into Profiles 3, 4, and 5 was very stable over time. In contrast, Profiles 1 and 2 were associated with a highly unstable membership over time. The highest levels of work-family conflict, absenteeism, and turnover intentions were associated with the Very Low Positive Affect Incapacitators. In contrast, the lowest levels of turnover intentions were associated with the Low Negative Affect Facilitators and High Positive Affect Facilitators.     

Examining the item response process to personality measures in high-stakes situations: Issues of measurement validity and predictive validity

We conducted two experimental studies with between-subjects and within-subjects designs to investigate the item response process for personality measures administered in high- versus low-stakes situations. Apart from assessing measurement validity of the item response process, we examined predictive validity; that is, whether or not different response models entail differential selection outcomes. We found that ideal point response models fit slightly better than dominance response models across high- versus low-stakes situations in both studies. Additionally, fitting ideal point models to the data led to fewer items displaying differential item functioning compared to fitting dominance models. We also identified several items that functioned as intermediate items in both the faking and honest conditions when ideal point models were fitted, suggesting that ideal point model is “theoretically” more suitable across these contexts for personality inventories. However, the use of different response models (dominance vs. ideal point) did not have any substantial impact on the validity of personality measures in high-stakes situations, or the effectiveness of selection decisions such as mean performance or percent of fakers selected. These findings are significant in that although prior research supports the importance and use of ideal point models for measuring personality, we find that in the case of personality faking, though ideal point models seem to have slightly better measurement validity, the use of dominance models may be adequate with no loss to predictive validity.     

Effects of stop signal modality, stop signal intensity and tracking method on inhibitory performance as determined by use of the stop signal paradigm

In Experiment 1, the effects of stop signal modality on the speed and efficiency of the inhibition process were examined. Stop signal reaction time (SSRT) and inhibition function slope in an auditory stop signal condition were compared to SSRT and inhibition function slope in a visual stop signal condition. It was found that auditory stop signals compared to visual stop signals enhanced both the speed and efficiency of stopping. The modality effects were attributed to differences in the neurophysiological processes underlying perception. However, Experiment 2 demonstrated that the modality difference was larger for 80 dB(A) auditory stop signals than 60 dB(A) auditory stop signals. This effect was reconciled with the suggestion that loud tones are more capable of eliciting immediate arousing effects on motor processes than weak tones and visual stimuli. The second purpose of the present investigation was to explore the utility (and potential advantages) of an alternative way of setting stop signal delay relative to mean reaction time (MRT). The method that was suggested compensates for inter-individual differences in primary task reaction speed by setting stop signal delays as proportions of the subjects' MRT.     

The Effect of Competitive Outcome and Task-Involving,Ego-Involving,and Cooperative Structures on the Psychological Well-Being of Individuals Engaged in a Co-Ordination Task: A Self-Determination Approach

Differing task and motivational characteristics of the competitive setting (viz., task-involving/ego-involving climates, cooperative/individual, and win/loss competitive outcome) were explored in relation to need satisfaction and subjective well-being (SWB). Participants, one-on-one or in pairs, were required to participate in a physical co-ordination task. Results revealed participants exposed to a task-involving condition and those who worked in cooperation to report higher levels of need satisfaction and SWB. Conversely, individuals exposed to ego-involving conditions and those who competed individually experienced higher levels of negative affect. Winning resulted in higher levels of need satisfaction and SWB, whereas losing led to higher levels of negative affect. Losing individually in an ego-involving condition led to the highest levels of negative affect responses and attenuated levels of reported need satisfaction and SWB. Via structural equation modeling, a model of motivational processes grounded in self-determination theory was supported in which elements of the competitive situation that facilitated need satisfaction led to increments in reported indices of SWB.