Psychology Commons^™

The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata

Dissertations, Theses, and Capstone Projects

Meta-analysis is the systematic review and quantitative synthesis of specific areas in literature and is an important quantitative tool for researchers interested in synthesizing a particular body of research. The current research used meta-analysis to investigate processing speed in two neurodevelopmental disorders. This dissertation consisted of four meta-analytic papers. The first paper was a meta-analysis that synthesized a large body of research on processing speed, measured via reaction time (RT) measures, in groups of individuals diagnosed with autism spectrum disorder (ASD) versus age-matched neurotypical comparison groups. This research was motivated by two previous meta-analyses in the literature on processing speed …

Mrs. Dalloway As A Window For Understanding Life, Kristen Venegas

English (MA) Theses

Virginia Woolf’s Mrs. Dalloway may be dismissed as fiction, and fiction consequently is dismissed as fantasy. However, the novel enables readers to practice an intellectual exercise of meta-awareness that extends beyond the pages and onto real world phenomena. Under a cognitive neuroscience perspective, Mrs. Dalloway is a literary masterpiece due to its hyper- realistic execution of the intimacies of life. Through the narrative style of free-indirect discourse, Woolf illustrates what occurs in the minds of characters as they develop their own perceptions of reality and identity, exposes the fear and inadequacies of mankind’s distress in times of chaos and disorder …

A New Method To Determine The Posterior Distribution Of Coefficient Alpha, John Mart V. Delosreyes

Psychology Theses & Dissertations

There is a focus within the behavioral/social sciences on non-physical, psychological constructs (i.e., constructs). These constructs are indirectly measured using measurement instruments that consist of questions that capture the manifestations of these constructs. The indirect nature of measuring constructs results in a need of ensuring that measurement instruments are reliable. The most popular statistic used to estimate reliability is coefficient alpha as it is easy to compute and has properties that make it desirable to use. Coefficient alpha’s popularity has resulted in a wide breadth of research into its qualities. Notably, research about coefficient alpha’s distribution has led to developments …

Using Irtrees To Account For Response Style Effects Between Item Formats, Stephanie Leroy

Masters Theses, 2020-current

Response styles are consistent person-traits that are defined as the tendency to systematically select responses unrelated to the construct being measured (Paulhus, 1991). Response styles introduce construct-irrelevant variance that distorts observed scores on a measure and biases interpretation of the data. The current study looks at midpoint response style (MRS) and extreme response style (ERS). MRS is the tendency to select the midpoint of a rating scale, while ERS is the tendency to select the endpoints of a rating scale. Previous research sought to either account for response style effects or prevemt them – the current study does both. To …

Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey

Dissertations, Theses, and Capstone Projects

Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do they distinguish between agreement on presence versus absence of a state or trait. Latent variable models can address both problems, as well as overcoming other well-documented limitations of agreement statistics (e.g., sample dependence, inappropriate population assumptions). Whether raters exactly agree is usually not the question of interest – researchers almost never care whether the difference …

Unexpected Arousal Suppresses Memory And Metamemory Predictions During Associative Face-Name Recognition Task, Sameer Sabharwal-Siddiqi

Dissertations, Theses, and Capstone Projects

Successful recognition often depends on probabilistic estimation of memory-signal. Arousal has been shown to offset the influence of heuristic evidence on memory prediction. We conducted three experiments that tested whether arousal also suppresses predictions relevant to memory confidence. Experiments employed associative face-name memory tasks that included retrospective (Experiments 1 and 2) or concurrent (Experiment 3) judgements of confidence. During test, subjects were presented with a masked-affective face on a subset of trials. By timing the masked-affective face to precede a recognition judgement (Experiment 1), we replicated the finding that unexpected arousal offsets the influence of heuristic evidence on expectations of …

Variational Representational Similarity Analysis, Karl J. Friston, Jörn Diedrichsen, Emma Holmes, Peter Zeidman

Brain and Mind Institute Researchers' Publications

© 2019 The Authors This technical note describes a variational or Bayesian implementation of representational similarity analysis (RSA) and pattern component modelling (PCM). It considers RSA and PCM as Bayesian model comparison procedures that assess the evidence for stimulus or condition-specific patterns of responses distributed over voxels or channels. On this view, one can use standard variational inference procedures to quantify the contributions of particular patterns to the data, by evaluating second-order parameters or hyperparameters. Crucially, this allows one to use parametric empirical Bayes (PEB) to infer which patterns are consistent among subjects. At the between-subject level, one can then …

A Flexible Comparison Process As A Critical Mechanism For Context Effects, Andrea M. Cataldo

Doctoral Dissertations

Context effects such as the attraction, compromise, and similarity effects demonstrate that a comparison process, i.e., a method of comparing dimension values, plays an important role in choice behavior. Recent research suggests that this same comparison process, made more flexible by allowing for a variety of comparisons, may provide an elegant account of observed correlations between context effects by differentially highlighting dimension-level and alternative-level stimulus characteristics. Thus, the present experiments test the comparison process as a critical mechanism underlying context-dependent choice behavior. Experiment 1 provides evidence that increasing a dimension-level property, spread, promotes the attraction and compromise effects and reduces …

Characterizing Belief Bias In Syllogistic Reasoning: A Hierarchical Bayesian Meta-Analysis Of Roc Data, Dries Trippas, David Kellen, Henrick Singman, Gordon Pennycook, Derek J. Koehler, Jonathan A. Fugelsang, Chad Dubé

Psychology Faculty Publications

The belief-bias effect is one of the most-studied biases in reasoning. A recent study of the phenomenon using the signal detection theory (SDT) model called into question all theoretical accounts of belief bias by demonstrating that belief-based differences in the ability to discriminate between valid and invalid syllogisms may be an artifact stemming from the use of inappropriate linear measurement models such as analysis of variance (Dube et al., Psychological Review, 117(3), 831–863, 2010). The discrepancy between Dube et al.’s, Psychological Review, 117(3), 831–863 (2010) results and the previous three decades of work, together with …

Mixed-Effects Location-Scale Models For Conditionally Normally Distributed Repeated-Measures Data, Ryan Walters

Department of Psychology: Dissertations, Theses, and Student Research

Hypotheses about psychological processes are most frequently dedicated to individual mean differences, but individual differences in variability are likely to be important as well. The mixed-effects location-scale model estimates individual differences in both mean level and variability in a single model, and represents an important advance in testing variability-related hypotheses. However, the mixed-effects location-scale model remains relatively novel to empirical scientists as statistical software is often handicapped by more complex models and a paucity of methodological studies exist examining the statistical properties of this model.

This dissertation investigates the mixed-effects location-scale model through the development of open-source software for its …

Adhd Children And Mental Health Service Use: Maternal Determinants, Katarina Krizova

Theses and Dissertations--Family Sciences

The current study investigated maternal determinants of mental health service use, namely, individual child therapy, among preadolescent children diagnosed with ADHD. The Behavioral Model of Health Care Utilization (Andersen, 2008) was used as a theoretical framework for the study. Data from the last three rounds of ECLS-K dataset were employed to test a longitudinal model using Bayesian analysis. Socio-demographic variables and maternal mental health were tested as exogenous variables and mother-child relationship variables, discipline variables, and perceived maternal concern about child’s overall behavior and child’s emotional symptoms were tested as intervening variables. Results showed that only maternal mental health remained …

Positive Trait Item Response Models, Joseph F. Lucke

Joseph Lucke

A new item response model is proposed for which the trait is positive. Three such models, the loglogistic, the log-normal, and the Weibull, are presented along with their item information curves. The data of seven addiction items from the DSM-IV from a study on alcohol addiction is analyzed by these three models using Bayesian Markov chain Monte Carlo methods. The item characteristic curves and item information curves are presented for all three models. The person scores for four item response patterns are presented for the log-logistic model.

Reply To Valverde, Paul B. Thompson

RISK: Health, Safety & Environment (1990-2002)

Professor Thompson responds to Valverde's argument, in the last issue, that his approach to Risk puts too much emphasis on the distinction between Risk subjectivism and Risk objectivism. In doing so, he asserts, inter alia, that anchoring Risk judgments in a probabilistic framework does not go far enough in rejecting reigning Risk-analysis notions of "real Risk."

The Cognitive Status Of Risk: A Response To Thompson, L. James Valverde

RISK: Health, Safety & Environment (1990-2002)

Discussing the role that probability theory should play in Risk analysis and management, Dr. Valverde argues that Thompson's approach puts too much emphasis on the distinction between Risk subjectivism and Risk objectivism in addressing the question, "When are Risks real?"