The theory of relational complexity (RC) developed by Halford and his associates (Halford et al., 1998a) proposes that, in addition to the number of unique entities that can be processed in parallel, it is the structure (complexity) of the relations between these entities that most appropriately captures the essence of processing capacity limitations. Halford et al. propose that the relational complexity metric forms an ordinal scale along which both task complexity and an individual’s processing capacity can be ranked. However, the underlying quantitative structure of the RC metric is largely unknown. It is argued that an assessment of the measurement properties of the RC metric is necessary to first demonstrate that the scale is able to rank order task complexity and cognitive capacity in adults. If in addition to ordinal ranking, it can be demonstrated that a continuous monotonic scale underlies the ranking of capacity (the natural extension of the complexity classification), then the potential to improve our understanding of adult cognition is further realised. Using a combination of cognitive psychology and individual differences methodologies, this thesis explores the psychometric properties of RC in three high level reasoning tasks. The Knight-Knave Task and the Sentence Comprehension Task come from the psychological literature. The third task, the Latin Square Task, was developed especially for this project to test the RC theory. An extensive RC analysis of the Knight-Knave Task is conducted using the Method for Analysis of Relational Complexity (MARC). Processing in the Knight-Knave Task has been previously explored using deduction-rules and mental models. We have taken this work as the basis for applying MARC and attempted to model the substantial demands these problems make on limited working memory resources in terms of their relational structure. The RC of the Sentence Comprehension Task has been reported in the literature and we further review and extend the empirically evidence for this task. The primary criterion imposed for developing the Latin Square Task was to minimize confounds that might weaken the identification and interpretation of a RC effect. Factors such as storage load and prior experience were minimized by specifying that the task should be novel, have a small number of general rules that could be mastered quickly by people of differing ages and abilities, and have no rules that are complexity level specific. The strength of MARC lies in using RC to explicitly link the cognitive demand of a task with the capacity of the individual. The cognitive psychology approach predicts performance decrements with increased task complexity and primarily deals with aggregated data across task condition (comparison of means). It is argued however that to minimise the subtle circularity created by validating a task’s complexity using the same information that is used to validate the individual’s processing capacity, an integration of the individual differences approach is necessary. The first major empirical study of the project evaluates the utility of the traditional dual-task approach to analyse the influence of the RC manipulation on the dual-task deficit. The Easy-to-Hard paradigm, a modification of the dual-task methodology, is used to explore the influence of individual differences in processing capacity as a function of RC. The second major empirical study explores the psychometric approach to cognitive complexity. The basic premise is that if RC is a manipulation of cognitive complexity in the traditional psychometric sense, then it should display similar psychometric properties. That is, increasing RC should result in an increasing monotonic relationship between task performance and Fluid Intelligence (Gf) – the complexity-Gf effect. Results from the comparison of means approach indicates that as expected, mean accuracy and response times differed reliably as a function of RC. An interaction between RC and Gf on task performance was also observed. The pattern of correlations was generally not consistent across RC tasks and is qualitatively different in important ways to the complexity-Gf effect. It is concluded that the Latin Square Task has sufficient measurement properties to allows us to discuss (i) how RC differs from complexity in tasks in which expected patterns of correlations are observed, (ii) what additional information needs to be considered to assist with the a priori identification of task characteristics that impose high cognitive demand, and (iii) the implications for understanding reasoning in dynamic and unconstrained environments outside the laboratory. We conclude that relational complexity theory provides a strong foundation from which to explore the influence of individual differences in performance further.

The theory of relational complexity (RC) developed by Halford and his associates (Halford et al., 1998a) proposes that, in addition to the number of unique entities that can be processed in parallel, it is the structure (complexity) of the relations between these entities that most appropriately captures the essence of processing capacity limitations. Halford et al. propose that the relational complexity metric forms an ordinal scale along which both task complexity and an individual’s processing capacity can be ranked. However, the underlying quantitative structure of the RC metric is largely unknown. It is argued that an assessment of the measurement properties of the RC metric is necessary to first demonstrate that the scale is able to rank order task complexity and cognitive capacity in adults. If in addition to ordinal ranking, it can be demonstrated that a continuous monotonic scale underlies the ranking of capacity (the natural extension of the complexity classification), then the potential to improve our understanding of adult cognition is further realised. Using a combination of cognitive psychology and individual differences methodologies, this thesis explores the psychometric properties of RC in three high level reasoning tasks. The Knight-Knave Task and the Sentence Comprehension Task come from the psychological literature. The third task, the Latin Square Task, was developed especially for this project to test the RC theory. An extensive RC analysis of the Knight-Knave Task is conducted using the Method for Analysis of Relational Complexity (MARC). Processing in the Knight-Knave Task has been previously explored using deduction-rules and mental models. We have taken this work as the basis for applying MARC and attempted to model the substantial demands these problems make on limited working memory resources in terms of their relational structure. The RC of the Sentence Comprehension Task has been reported in the literature and we further review and extend the empirically evidence for this task. The primary criterion imposed for developing the Latin Square Task was to minimize confounds that might weaken the identification and interpretation of a RC effect. Factors such as storage load and prior experience were minimized by specifying that the task should be novel, have a small number of general rules that could be mastered quickly by people of differing ages and abilities, and have no rules that are complexity level specific. The strength of MARC lies in using RC to explicitly link the cognitive demand of a task with the capacity of the individual. The cognitive psychology approach predicts performance decrements with increased task complexity and primarily deals with aggregated data across task condition (comparison of means). It is argued however that to minimise the subtle circularity created by validating a task’s complexity using the same information that is used to validate the individual’s processing capacity, an integration of the individual differences approach is necessary. The first major empirical study of the project evaluates the utility of the traditional dual-task approach to analyse the influence of the RC manipulation on the dual-task deficit. The Easy-to-Hard paradigm, a modification of the dual-task methodology, is used to explore the influence of individual differences in processing capacity as a function of RC. The second major empirical study explores the psychometric approach to cognitive complexity. The basic premise is that if RC is a manipulation of cognitive complexity in the traditional psychometric sense, then it should display similar psychometric properties. That is, increasing RC should result in an increasing monotonic relationship between task performance and Fluid Intelligence (Gf) – the complexity-Gf effect. Results from the comparison of means approach indicates that as expected, mean accuracy and response times differed reliably as a function of RC. An interaction between RC and Gf on task performance was also observed. The pattern of correlations was generally not consistent across RC tasks and is qualitatively different in important ways to the complexity-Gf effect. It is concluded that the Latin Square Task has sufficient measurement properties to allows us to discuss (i) how RC differs from complexity in tasks in which expected patterns of correlations are observed, (ii) what additional information needs to be considered to assist with the a priori identification of task characteristics that impose high cognitive demand, and (iii) the implications for understanding reasoning in dynamic and unconstrained environments outside the laboratory. We conclude that relational complexity theory provides a strong foundation from which to explore the influence of individual differences in performance further.

The theory of relational complexity (RC) developed by Halford and his associates (Halford et al., 1998a) proposes that, in addition to the number of unique entities that can be processed in parallel, it is the structure (complexity) of the relations between these entities that most appropriately captures the essence of processing capacity limitations. Halford et al. propose that the relational complexity metric forms an ordinal scale along which both task complexity and an individual’s processing capacity can be ranked. However, the underlying quantitative structure of the RC metric is largely unknown. It is argued that an assessment of the measurement properties of the RC metric is necessary to first demonstrate that the scale is able to rank order task complexity and cognitive capacity in adults. If in addition to ordinal ranking, it can be demonstrated that a continuous monotonic scale underlies the ranking of capacity (the natural extension of the complexity classification), then the potential to improve our understanding of adult cognition is further realised. Using a combination of cognitive psychology and individual differences methodologies, this thesis explores the psychometric properties of RC in three high level reasoning tasks. The Knight-Knave Task and the Sentence Comprehension Task come from the psychological literature. The third task, the Latin Square Task, was developed especially for this project to test the RC theory. An extensive RC analysis of the Knight-Knave Task is conducted using the Method for Analysis of Relational Complexity (MARC). Processing in the Knight-Knave Task has been previously explored using deduction-rules and mental models. We have taken this work as the basis for applying MARC and attempted to model the substantial demands these problems make on limited working memory resources in terms of their relational structure. The RC of the Sentence Comprehension Task has been reported in the literature and we further review and extend the empirically evidence for this task. The primary criterion imposed for developing the Latin Square Task was to minimize confounds that might weaken the identification and interpretation of a RC effect. Factors such as storage load and prior experience were minimized by specifying that the task should be novel, have a small number of general rules that could be mastered quickly by people of differing ages and abilities, and have no rules that are complexity level specific. The strength of MARC lies in using RC to explicitly link the cognitive demand of a task with the capacity of the individual. The cognitive psychology approach predicts performance decrements with increased task complexity and primarily deals with aggregated data across task condition (comparison of means). It is argued however that to minimise the subtle circularity created by validating a task’s complexity using the same information that is used to validate the individual’s processing capacity, an integration of the individual differences approach is necessary. The first major empirical study of the project evaluates the utility of the traditional dual-task approach to analyse the influence of the RC manipulation on the dual-task deficit. The Easy-to-Hard paradigm, a modification of the dual-task methodology, is used to explore the influence of individual differences in processing capacity as a function of RC. The second major empirical study explores the psychometric approach to cognitive complexity. The basic premise is that if RC is a manipulation of cognitive complexity in the traditional psychometric sense, then it should display similar psychometric properties. That is, increasing RC should result in an increasing monotonic relationship between task performance and Fluid Intelligence (Gf) – the complexity-Gf effect. Results from the comparison of means approach indicates that as expected, mean accuracy and response times differed reliably as a function of RC. An interaction between RC and Gf on task performance was also observed. The pattern of correlations was generally not consistent across RC tasks and is qualitatively different in important ways to the complexity-Gf effect. It is concluded that the Latin Square Task has sufficient measurement properties to allows us to discuss (i) how RC differs from complexity in tasks in which expected patterns of correlations are observed, (ii) what additional information needs to be considered to assist with the a priori identification of task characteristics that impose high cognitive demand, and (iii) the implications for understanding reasoning in dynamic and unconstrained environments outside the laboratory. We conclude that relational complexity theory provides a strong foundation from which to explore the influence of individual differences in performance further.

<p>The purpose of this research study was to look at the effects of perceived discrimination and sexual positivity on relationship and sexual satisfaction of sexual minority couples. The present study hypothesizes that there will be a moderating relationship between sexual positivity and perceived discrimination; higher levels of sexual positivity will predict higher relationship and sexual satisfaction, and perceived discrimination will negatively effect relationship and sexual satisfaction of couples with lower sexual positivity. Individuals who identify as a sexual minority were asked to participate in this study and answer survey questions pertaining to the level of satisfaction they experience in their romantic relationship and their sexual relationship, how sex positive the individuals are, and the amount of perceived discrimination that they experience; all through a minority stress lens. The results suggest that neither perceived discrimination nor the interaction between perceived discrimination and sexual positivity has a significant impact on the relationship and sexual satisfaction of sexual minority populations. However, the results of this study do suggest a statistically significant relationship between sexual positivity and relationship and sexual satisfaction of sexual minority couples.</p>

The goal of my dissertation is to take a step toward shifting the narrative in engineering from “surviving” to “thriving” so that more engineering students can reach their full potential in college and beyond. Many engineering students experience barriers such as the hardships of engineering culture, which are exacerbated for women and underrepresented racial/ethnic minorities(such as Black, Latinx, and Indigenous students). These barriers are well documented in research and well discussed in interventions to support engineering student success, under the assumption that helping students cope with these cultural and systemic barriers will, by itself, lead to their success. My research on engineering thriving challenges this assumption by asserting that the skills engineering students need to succeed academically, socially, and personally differ from the skills they need to “survive” cultural and systemic barriers.<br><div><br></div><div>This dissertation employs an exploratory multiphase research design, with three studies, to develop a model of thriving for undergraduate engineering students. The first study consists of a scoping literature review of 68 papers to define and characterize engineering thriving as the process in which engineering students develop and refine competencies that allow them to function optimally in engineering programs. From this definition, the second study employs a Delphi process with 47 experts to develop a model of engineering thriving that includes 1) internal thriving competencies; 2) external thriving outcomes; 3) engineering culture, systemic factors, resources, context and situation; and 4) how these three broader categories function together. The third study tests some of these relationships proposed in the model of engineering thriving using structural equation modeling(SEM) on a large dataset of responses by over 2,000 undergraduate U.S. engineering students to a survey that measured various constructs associated with thriving. Findings from the SEM analysis suggest that gratitude was one of the most important competencies for engineering student thriving, and that a holistic model approach accounted for 79% of the variance in engineering students’ belongingness and 25% of the variance in perceptions of faculty caring(two external thriving outcomes).<br></div><div><br></div><div>Understanding and supporting more engineering thriving has positive implications for students, recruitment and outreach, and engineering programs. Thriving is multidimensional and, thus, supporting engineering students to achieve traditional success metrics (such as academic performance and graduation) goes hand in hand with supporting their personal and social development and wellbeing. Recruitment and outreach of K-12 students can benefit from viewing engineering as an attractive and inspirational career, combating negative stereotypes that currently deter students from pursuing engineering. Engineering programs can benefit from developing a reputation and culture of thriving. However, cultural change requires the collective investment from all members of the engineering community.<br></div>

<p>Past theory and research have documented several stereotypes that explain why biases against Asian Americans (AAs) in U.S. organizations can occur, such as the Model Minority Stereotype (MMS) and Perpetual Foreigner Syndrome (PFS). The current project expands on past work by proposing a new perspective of stereotypes driving (mis)treatment of AAs: Mechanistic dehumanization. Specifically, I argue that AAs are seen as more robot-like compared to other racial groups in the U.S., which may explain some of the negative workplace treatments they face. To test this phenomenon, I conducted a set of five pre-registered studies to examine the extent to which AAs tend to be more mechanistically dehumanized than other racial groups in the U.S., and its workplace implications. In a pilot study (N = 1,003), the results revealed that East, South, and Southeast AAs tended to be mechanistically dehumanized and internalized this dehumanization more than other groups. In Study 1 (Study 1a, N= 255; Study 1b, N = 427), a survey and experimental study provided support that AA coworkers are more mechanistically dehumanized than White American coworkers, and this mediated the relationship between coworker race and negative work outcomes (e.g., less perceived leadership potential, more exploitative treatment, and less workplace friendship). In another survey study, Study 2 (N = 473) found that mechanistic dehumanization exhibited incremental validity in predicting negative work outcomes for AAs, above and beyond MMS and PFS. Finally, in Study 3 (N = 477), an all-Asian sample found that AAs’ internalization of mechanistic dehumanization predicted more negative work outcomes (e.g., increased burnout, less workplace friendship), above and beyond MMS and PFS. Altogether, the current work supports a mechanistic dehumanization account of bias against AAs, reveals racial subgroup differences, and provides a novel explanation for why AAs experience certain workplace inequities. </p>

<p dir="ltr">A loss of a job or relationship are a few examples of unexpected reward loss. Life events such as these can induce negative emotional reactions (e.g., anxiety and stress) which have been associated with increased drinking and in turn, an increased risk of developing an alcohol use disorder (AUD). The present study used a consummatory successive negative contrast (SNC) procedure to demonstrate unexpected reward loss reactivity in two lines selectively bred to consume high amounts of ethanol, alcohol preferring (P) and high alcohol drinking (HAD) rats. Following this reward loss, animals were given free access to ethanol to determine if ethanol consumption would increase to negate any negative emotional reaction provoked by this loss. P rats demonstrated a longer contrast effect than HAD rats, indicated by a longer recovery time following the downshift in reward. Conversely, HAD males did not demonstrate a contrast effect following this downshift in reward. Surprisingly, P rats who experienced a loss of reward consumed significantly less ethanol than animals who did not. Lastly, an individual measure of contrast size, or shift ratio, was significantly associated with greater ethanol consumption in HAD males only, who did not display a contrast effect. These data indicate different reactivity to SNC between these two lines and sexes, suggesting different genetic and sex-related mechanisms underlying sensitivity to an unexpected loss of reward.</p>

<p>  </p> <p>Extensive evidence supports the effectiveness of retrieval practice as a powerful method for promoting long-term learning. For students to obtain the maximum benefit from retrieval practice they need to incorporate the strategy into their study routines as a learning tool that is used early and often. Unfortunately, many students avoid retrieval practice and instead rely primarily on less effective learning strategies such as rereading, and existing interventions that encourage students to practice retrieval are rare. Given this troubling gap in the literature, this dissertation sought to create and experimentally evaluate a novel intervention that attempted to improve students’ evaluations of and increase their willingness to use retrieval practice. </p> <p>In two experiments, the Pilot Study and Experiment 1, students studied a list of Lithuanian-English translations and completed two retrieval practice activities. The control retrieval practice activity prompted students to retrieve only difficult translations, whereas the high note retrieval practice activity prompted students to retrieve the same number of difficult translations but ended with additional trials that were normatively less difficult. Students preferred the high note retrieval practice activity over the shorter retrieval practice activity that had a more difficult ending, which suggests that existing retrieval practice activities can be improved by crafting endings that afford more opportunities for successful retrieval. Experiment 2 demonstrated that ending a retrieval practice activity on a high note could encourage students to choose retrieval practice over restudying for a subsequent learning activity. Experiment 3 replicated the findings from Experiment 2 and extended the results to a new type of material that is common in educational settings—general knowledge questions (i.e., fact learning). Finally, Experiment 4 investigated whether the preference for the high note retrieval practice activity found in the previous experiments was driven by the placement of the moderately difficult items at the end of the activity.</p> <p>Overall, this dissertation provides yet another demonstration that most students choose to avoid retrieval practice during learning. However, creating retrieval practice activities that had less difficult endings successfully improved students’ evaluations of and increased their willingness to use retrieval practice. These results have important implications for understanding and overcoming the barriers that prevent students from practicing retrieval.</p>

Despite executive function deficits now been examined in relation to the propensity to commit crimes in the general offending population, to date there has been little investigation of this within an intellectually disabled offending sample. The aim of the present study was to undertake a content analysis of the offending patterns and general behavior of Disabilities SA clients with a view to ascertaining whether such an assessment is justified for this offending group. The present study involved content analysis of five participants, currently clients of Disabilities SA. A coding schema was used to assess for evidence of four executive functions: Learning from previous experience; Engaging in logical reasoning; Impulse control; and Understanding the reactions of others. Findings suggest that offenders with intellectual disability have difficulties in all four areas. These findings are discussed in terms of the need for more comprehensive assessment and treatment implications.

<p>  Fetal Alcohol Syndrome (FAS) is the most serious form of Fetal Alcohol Spectrum Disorders (FASD) and the most prevalent neurodevelopmental disorder in North America. Patients with FAS may exhibit cognitive problems with working memory, manipulating information, and reduced executive functioning. Additionally, previous studies exhibited that stress responses are affected by prenatal alcohol consumption Gut microbiota compositions can also influence stress responses and memory, as several studies have shown strong relationships between the enteric gut system and the brain. However, few studies have examined how prenatal alcohol exposure’s effects on the gut microbiome and neuroinflammatory responses. For this study, pregnant HsdBlu:LE Long Evans rats were treated with either a dry diet, liquid diet, or liquid diet with alcohol. On day 28 and 42 after birth, three male and three female adolescent pups from each treatment group had their gut microbiome (fecal samples) analyzed through 16S rRNA amplicon sequencing. Brain histology staining of the cortex and hippocampus regions was also done to evaluate changes in the CNS through microglial counts and morphology analysis. There were no significant differences in alpha diversity of the fecal microbiome between groups of pups based on prenatal alcohol exposure (PAE), sex, age, the interaction of PAE and sex, or in the morphology of cortex microglia. However, analysis of beta diversity using Bray-Curtis dissimilarity and weighted UniFrac suggested distinct microbial communities between the treatment groups based on PAE and the interaction of PAE, sex, and the interaction between PAE and sex. Microglial count comparisons by PAE or sex were only statistically different in the cortex (p ≤ 0.005). The significance of this study suggests that there are some associations between the gut microbiome and CNS inflammation in rats with PAE. Based on these findings, 11 future studies may implement therapeutics such as antibiotics or probiotics to mitigate cognitive or neural symptoms of FASD affected individuals. </p>