Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences

This article analyzes latent variable models from a cognitive psychology perspective. We start by discussing work by Tuerlinckx and De Boeck (2005), who proved that a diffusion model for 2-choice response processes entails a 2-parameter logistic item response theory (IRT) model for individual differences in the response data. Following this line of reasoning, we discuss the appropriateness of IRT for measuring abilities and bipolar traits, such as pro versus contra attitudes. Surprisingly, if a diffusion model underlies the response processes, IRT models are appropriate for bipolar traits but not for ability tests. A reconsideration of the concept of ability that is appropriate for such situations leads to a new item response model for accuracy and speed based on the idea that ability has a natural zero point. The model implies fundamentally new ways to think about guessing, response speed, and person fit in IRT. We discuss the relation between this model and existing models as well as implications for psychology and psychometrics.     

Functional Thought Experiments

The literature on thought experiments has been mainly concernedwith thought experiments that are directed at a theory, be it in aconstructive or a destructive manner. This has led somephilosophers to argue that all thought experiments can beformulated as arguments. The aim of this paper is to drawattention to a type of thought experiment that is not directed ata theory, but fulfills a specific function within a theory. Suchthought experiments are referred to as functional thoughtexperiments, and they are routinely used in applied statistics. An example is given from frequentist statistics, where a thoughtexperiment is required to establish the probability space. It isconcluded that (a) not all thought experiments can be formulated asarguments, and (b) the role of thought experiments is more generaland more important to scientific reasoning than has previouslybeen recognized.     

The theoretical status of latent variables

This article examines the theoretical status of latent variables as used in modern test theory models. First, it is argued that a consistent interpretation of such models requires a realist ontology for latent variables. Second, the relation between latent variables and their indicators is discussed. It is maintained that this relation can be interpreted as a causal one but that in measurement models for interindividual differences the relation does not apply to the level of the individual person. To substantiate intraindividual causal conclusions, one must explicitly represent individual level processes in the measurement model. Several research strategies that may be useful in this respect are discussed, and a typology of constructs is proposed on the basis of this analysis. The need to link individual processes to latent variable models for interindividual differences is emphasized.     

The relationship of microaggressions with alcohol use and anxiety among ethnic minority college students in a historically White institution

Little is known about how microaggressions may impact the health and mental health of college students of color attending historically White universities. In this study, students provided self-report of the number of racial and ethnic microaggressions they had experienced over the previous month, as well as data on anxiety symptoms (Beck Anxiety Inventory), alcohol consumption (Daily Drinking Questionnaire) and consequences (Rutgers Alcohol Problem Index), and self-efficacy to cope with daily hassles (General Self-efficacy Scale) and with high risk drinking situations (Situational Confidence Questionnaire). As expected, students of color reported significantly more microaggressions than their European American counterparts. Microaggressions and self-efficacy were significantly associated with anxiety (Full Model R2 = .20; p < .001), microaggressions and self-efficacy were significantly associated with binge drinking (Full Model R2 = .10; p < .01), and microaggressions, binge drinking events, self-efficacy, and microaggressions × self-efficacy interaction were significantly associated with alcohol related consequences (Full Model R2 = .28; p < .001) among the students of color. Results suggest that microaggressions may represent a health and mental health risk to students of color. Implications of study results and future research directions are discussed.     

Modeling Mind and Matter: Reductionism and Psychological Measurement in Cognitive Neuroscience

Psychological resilience has become a popular concept. Owing to that popularity, the word resilience has taken on myriad and often overlapping meanings. To be a useful framework for psychological research and theory, the authors argue, the study of resilience must explicitly reference each of four constituent temporal elements: (a) baseline or preadversity functioning, (b) the actual aversive circumstances, (c) postadversity resilient outcomes, and (d) predictors of resilient outcomes. Using this framework to review the existing literature, the most complete body of evidence is available on individual psychological resilience in children and adults. By contrast, the research on psychological resilience in families and communities is far more limited and lags well behind the rich theoretical perspective available from those literatures. The vast majority of research on resilience in families and communities has focused primarily on only one temporal element, possible predictors of resilient outcomes. Surprisingly, however, almost no scientific evidence is actually available for community or family resilient outcomes. We close by suggesting that there is room for optimism and that existing methods and measures could be relatively easily adapted to help fill these gaps. To that end, we propose a series of steps to guide future research.     

The Gaussian Graphical Model in Cross-Sectional and Time-Series Data

We discuss the Gaussian graphical model (GGM; an undirected network of partial correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM shows which variables predict one-another, allows for sparse modeling of covariance structures, and may highlight potential causal relationships between observed variables. We describe the utility in three kinds of psychological data sets: data sets in which consecutive cases are assumed independent (e.g., cross-sectional data), temporally ordered data sets (e.g., n = 1 time series), and a mixture of the 2 (e.g., n > 1 time series). In time-series analysis, the GGM can be used to model the residual structure of a vector-autoregression analysis (VAR), also termed graphical VAR. Two network models can then be obtained: a temporal network and a contemporaneous network. When analyzing data from multiple subjects, a GGM can also be formed on the covariance structure of stationary means—the between-subjects network. We discuss the interpretation of these models and propose estimation methods to obtain these networks, which we implement in the R packages graphicalVAR and mlVAR. The methods are showcased in two empirical examples, and simulation studies on these methods are included in the supplementary materials.     

On the Irrelevance of Phonological Similarity to the Irrelevant Speech Effect

Irrelevant background speech disrupts immediate recall of visually presented items. Salame and Baddeley (1982) found that increasing the phonological similarity between the irrelevant speech and the visual items greatly increased this disruption. In contrast, Jones and Macken (1995) found little evidence for such an increase. The present experiments directly manipulated the phonological similarity of the irrelevant speech background and the to-be-remembered visual items. Experiments 1-4 compared background speech that shared virtually no phonemes with the visual stimuli with background speech that shared all of the phonemes of the visual stimuli. No effectof phonological similarity was found.Experiment5 replicatedthe method of Salame and Baddeley's critical experimentbut nottheir results. With regard to the two primary explanations ofthe irrelevant speech effect, these data present a strong challenge to the phonological store hypothesis while offering some support to the changing state hypothesis.     

Distal cues and latent extinction

The Psychological Record - The hypothesis was tested that the failure of Bugelski et al (1952) to obtain latent extinction effects in a “replication” of Seward and Levy’s (1949)...