Is the match/mismatch model based on a statistical artefact?

In the match/mismatch model, recently formulated by Rachman and coworkers, it is stated that incorrectly predicted aversive experiences are generally followed by an immediate adjustment of the predictions concerning aversiveness of the next experience. This model can be considered to reflect a psychological process of the formation of expectations. In the present article it is argued that a simple H0 model, assuming that predictions are completely randomly generated by the subject, may account for the same effects. This H0 model is used in a stringent test of empirical data to determine if there are any effects of the discrepancy between prediction and experience on next prediction that exceed the effects explained by the H0 model. Although the H0 model produces effects very similar to the empirically observed effects, there is clear support for the hypothesized influence of the discrepancy between prediction and experience. Therefore, the model appears to reflect 'real' psychological processes and not chance findings.     

Polytomous Latent Scales for the Investigation of the Ordering of Items

We propose three latent scales within the framework of nonparametric item response theory for polytomously scored items. Latent scales are models that imply an invariant item ordering, meaning that the order of the items is the same for each measurement value on the latent scale. This ordering property may be important in, for example, intelligence testing and person-fit analysis. We derive observable properties of the three latent scales that can each be used to investigate in real data whether the particular model adequately describes the data. We also propose a methodology for analyzing test data in an effort to find support for a latent scale, and we use two real-data examples to illustrate the practical use of this methodology.     

A Note on Comparing the Estimates of Models for Cluster-Correlated or Longitudinal Data with Binary or Ordinal Outcomes

When using linear models for cluster-correlated or longitudinal data, a common modeling practice is to begin by fitting a relatively simple model and then to increase the model complexity in steps. New predictors might be added to the model, or a more complex covariance structure might be specified for the observations. When fitting models for binary or ordered-categorical outcomes, however, comparisons between such models are impeded by the implicit rescaling of the model estimates that takes place with the inclusion of new predictors and/or random effects. This paper presents an approach for putting the estimates on a common scale to facilitate relative comparisons between models fit to binary or ordinal outcomes. The approach is developed for both population-average and unit-specific models.     

Temporal considerations in the study of family firms: Reflections on “the study of organizational behaviour in family business”

We complement the work of Gagné et al. by discussing how an extended time dimension shapes organizational behaviour in family firms. Using insights from family dynamics, identity theory, and social identity theory, we show how early formative experiences in the family can influence commitment, conflict, and motivation in family firms. Then we examine how a family's intention to pass on the firm to later generations can impact leadership, human-resources practices, and corporate cultures.     

Implications of Item Keying and Item Valence for the Investigation of Construct Dimensionality

Factor analysis and nomological network analysis are commonly used as complementary procedures in the investigation of the dimensionality of constructs (e.g., self-esteem, job satisfaction). Although it has been demonstrated that factor analyses are often biased toward a two-dimensional solution for measures including regular- and reverse-keyed items, less attention has been paid to the implications for nomological network analyses. We propose, and demonstrate empirically in two studies, that item keying is confounded with item valence (i.e., favorability of item content), and that item valence can bias the results of both factor analysis and nomological network analysis toward a two-dimensional interpretation. We also demonstrate that the valence effect is related to, but distinguishable from, social desirability response bias. We caution that the practice of excluding reverse-keyed items to achieve unidimensionality can lead to distortion in correlations among constructs, and we offer alternative remedies to the valence problem.     

Are performance predictions for text based on ease of processing?

In 4 experiments, the authors evaluated the hypothesis that performance predictions for text are based on ease of processing. In each experiment, participants read texts, predicted their performance for each one, and then were tested. Ease of processing was manipulated by having participants read texts that varied in coherence. Coherence was varied by manipulating causal relatedness across sentence pairs (Experiments 1 and 2) and by altering the structure of sentences within paragraphs (Experiment 3). In these experiments, prediction magnitudes increased as coherence increased, suggesting that predictions were based on processing ease. In Experiment 4, prediction magnitudes were greater for intact paragraphs than for paragraphs with letters deleted from some of the words. Discussion focuses on resolving apparent inconsistencies in the literature concerning whether processing ease influences performance predictions.     

Profile of couples seeking help in the family court- a clinic — based study

The article focuses on the profile of 102 couples referred from the family court for assessment and counseling. The majority of couples were married for 5 years or less, had a single child and many had been separated for at least 2 years. Behavior problems, especially maladaptive personality traits in the spouse were cited as the major reason for their marital problems. The scope of clinical psychologists in a family court is discussed.     

Influence of stimulus–response assignment on the joint-action correspondence effect

Sebanz et al. (Cognition 88:B11–B21, 2003) have shown that spatial correspondence effects are observed even when the two-choice reaction time task is distributed between two people, such that each person is assigned only one of two possible stimulus–response (S–R) pairings. The effect is similar to when one person is assigned and responds to both S–R pairings. These results have been taken to suggest that two people performing a complementary task co-represent each other’s response alternatives. In our experiment, we examined performance when paired participants responded to the same S–R alternative. We reasoned that co-representation would be of little advantage as the task alternatives would be the same for both participants. Correspondence effects were absent when paired participants responded to the same S–R alternative but emerged when they responded to different alternatives.     

On Association Coefficients for 2×2 Tables and Properties That Do Not Depend on the Marginal Distributions

We discuss properties that association coefficients may have in general, e.g., zero value under statistical independence, and we examine coefficients for 2×2 tables with respect to these properties. Furthermore, we study a family of coefficients that are linear transformations of the observed proportion of agreement given the marginal probabilities. This family includes the phi coefficient and Cohen’s kappa. The main result is that the linear transformations that set the value under independence at zero and the maximum value at unity, transform all coefficients in this family into the same underlying coefficient. This coefficient happens to be Loevinger’s H.     

A problem for Wegner and colleagues’ model of the sense of agency

The sense of agency, that is the sense that one is the agent of one’s bodily actions, is one component of our self-consciousness. Recently, Wegner and colleagues have developed a model of the causal history of this sense. Their model takes it that the sense of agency is elicited for an action when one infers that one or other of one’s mental states caused that action. In their terms, the sense of agency is elicited by the inference to apparent mental state causation. Here, I argue that this model is inconsistent with data from developmental psychology that suggests children can identify the agent behind an action without being capable of understanding the relationship between their intentions and actions. Furthermore, I argue that this model is inconsistent with the preserved sense of agency in autism. In general, the problem is that there are cases where subjects can experience themselves as the agent behind their actions despite lacking the resources to make the inference to apparent mental state causation.     

What mediates the impact of response alternatives on frequency reports of mundane behaviors?

Previous research demonstrated that respondents assume that the range of precoded response alternatives reflects the researcher's knowledge of the distribution of opinions or behaviours in the population. This assumption may influence respondents' reports in two ways: respondents may either use the range of the response alternatives as a frame of reference in estimating their own behavioural frequencies, or they may be reluctant to report frequencies that appear extreme in the context of the scale. Three experiments using reports of mundane behaviours, namely watching TV and drinking beer, were conducted to differentiate between the frame of reference and the self-presentation hypothesis. The results of all studies favour the frame of reference hypothesis, and suggest that the impact of response alternatives is the more pronounced the less episodic information about the behaviour is accessible in memory. Specifically, proxy-reports were found to be more affected by the range of response alternatives than self-reports (Experiments 1 and 2), and respondents with dispositionally low access to self-related information were found to be more affected than respondents with dispositionally high access to self-related information (Experiment 3). Implications for questionnaire construction are discussed.     

On the reliability, consistency, and method-specificity based on the CT-C(M–1) model

In the present study, we discuss reliability, consistency, and method specificity based on the CT-C(M?-?1) model, which provides clear definitions of trait and method factors and can facilitate parameter estimation. Properties of the reliability coefficient, the consistency coefficient, and the method-specificity coefficient of the summated score for a trait factor are addressed. The consistency coefficient and the method-specificity coefficient are both functions of the number of items, the average item consistency, and the average item method specificity. The usefulness of the findings is demonstrated in an alternative approach proposed for scale reduction. The approach, taking into account both traits and methods, helps identify the items leading to the maximum of convergent validity or method effects. The approach, illustrated with a simulated data set, is recommended for scale development based on multitrait-multimethod designs.     

Perfectionism and emotion regulation in coaches: A test of the 2 × 2 model of dispositional perfectionism

The manner in which coaches regulate their emotions has implications for their performance and well-being. Drawing on research that has found perfectionism to predict emotion regulation in other settings, this study adopted the 2 × 2 model of perfectionism to examine whether subtypes of perfectionism among coaches were associated with variation in the use of emotion regulation strategies. Coaches (N = 238, M age = 23.92, SD = 10.32) from various sports completed measures of perfectionism (personal standards and evaluative concerns) and emotion regulation strategies (expressive suppression, cognitive reappraisal, and control of anger directed inwards and outwards). Moderated hierarchical regression provided mixed support for the 2 × 2 model. As expected, pure personal standards perfectionism (high standards/low concerns) was generally associated with the highest capacity for emotion regulation and pure evaluative concerns perfectionism (low standards/high concerns) with the lowest. Unexpectedly, mixed perfectionism (high standards/high concerns) was associated with the highest level of expressive suppression, suggesting that in some instances standards might exacerbate rather than attenuate concerns.     

Does response interference depend on the subjective visibility of flanker distractors?

Response interference (or response conflict) refers to the phenomenon whereby response times to a target stimulus are longer in the presence of distractor stimuli that indicate contrary motor responses. Response interference has been observed even when the distractor stimuli cannot be discriminated above chance levels. These results raise the question of whether response interference might be driven automatically by the physical distractor stimuli, independently of one??s subjective perception of the distractors. Using a modified version of the Eriksen flanker task, we applied metacontrast masks to the flanker stimuli and measured their subjective visibility after each trial. We found converging lines of evidence that the subjective perception of flankers contributed to response interference, over and above the contribution of automatic processing of the stimulus itself. A factorial analysis revealed that the objective, physical congruency of target and flankers and the subjective, perceptual congruency of target and flankers make additive, noninteracting contributions to target response interference, suggesting that the two interference effects originate from independent levels or stages of cognitive processing.     

Better explaining the benefits why AI? Analyzing the impact of explaining the benefits of AI-supported selection on applicant responses

Despite the increasing popularity of AI-supported selection tools, knowledge about the actions that can be taken by organizations to increase AI acceptance is still in its infancy, even though multiple studies point out that applicants react negatively to the implementation of AI-supported selection tools. Therefore, this study investigates ways to alter applicant reactions to AI-supported selection. Using a scenario-based between-subject design with participants from the working population (N = 200), we varied the information provided by the organization about the reasons for using an AI-supported selection process (no additional information vs. written information vs. video information) in comparison to a human selection process. Results show that the use of AI without information and with written information decreased perceived fairness, personableness perception, and increased emotional creepiness. In turn, perceived fairness, personableness perceptions, and emotional creepiness mediated the association between an AI-supported selection process, organizational attractiveness, and the intention to further proceed with the selection process. Moreover, results did not differ for applicants who were provided video explanations of the benefits of AI-supported selection tools and those who participated in an actual human selection process. Important implications for research and practice are discussed.