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Articles 1 - 30 of 35
Full-Text Articles in Quantitative Psychology
Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose
Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose
Dissertations
Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.
A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …
Examining The Implicit Association Between The ‘Caucasian’ Race And Scientific Ideals, Erin Cain, Tim Messer-Kruse, Anne K. Gordon Dr.
Examining The Implicit Association Between The ‘Caucasian’ Race And Scientific Ideals, Erin Cain, Tim Messer-Kruse, Anne K. Gordon Dr.
Honors Projects
This study examines the implicit associations between the term ‘Caucasian’ and scientific ideals. The racist and pseudoscientific history of the word ‘Caucasian’ invalidates its credibility and insinuates persistent racist ideologies that continue to manifest today. The term ‘Caucasian’ seems to be popularly thought of as a more exact, specific, and scientific term than that of ‘White’. This paper includes a review of the literature about the White race and the term ‘Caucasian’, how this term originated, and the pseudoscience that created it in the 18th century. The experiment includes a control condition, and an experimental condition that primes the …
Model Selection Posterior Predictive Model Checking Via Limited-Information Indices For Bayesian Diagnostic Classification Modeling, Jihong Zhang, Jonathan Templin, Xinya Liang
Model Selection Posterior Predictive Model Checking Via Limited-Information Indices For Bayesian Diagnostic Classification Modeling, Jihong Zhang, Jonathan Templin, Xinya Liang
Counseling, Leadership, and Research Methods Faculty Publications and Presentations
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model evaluation tool, which allows researchers to detect Q-matrix misspecification. However, model selection methods using posterior predictive checking (PPC) for Bayesian DCM are not well investigated. Thus, this research aims to propose a novel model selection approach using posterior predictive checking with limited-information statistics for selecting the correct Q-matrix. A simulation study was conducted to examine …
Unraveling The Impact Of Cognitive Test Anxiety On Academic Performance Among Adolescents: The Case Of Minority And Majority Communities, Zulfiqar Ullah Siddiqui, Wael M. F. Abuhassan
Unraveling The Impact Of Cognitive Test Anxiety On Academic Performance Among Adolescents: The Case Of Minority And Majority Communities, Zulfiqar Ullah Siddiqui, Wael M. F. Abuhassan
An-Najah University Journal for Research - B (Humanities)
Background: Within the Indian society and its many communities, adolescents exhibit a wide range of individual differences, including cognitive abilities, learning styles, and personality traits. These differences can influence how students perceive and cope with test anxiety and related stress. Objective: The primary goal of this research study was to investigate the influence of cognitive test anxiety on academic performance in adolescents from both minority (Muslims) and majority (Hindus) communities in India. Method: Based on descriptive-inferential research design, a sample of 450 students was selected, with 223 students representing the majority community and the remaining 227 students representing the minority …
Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries
Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Researchers understand that conducting numerous pairwise comparisons between group means increases the Type I error rate, prompting the use of planned contrasts like orthogonal contrast sets. Implicit to orthogonal contrast sets is the principal assumption that groups are balanced in size. Further, when dealing with complex variables like latent constructs, specialized modeling is necessary. Understanding how violations of the assumptions of an orthogonal contrast set and the latent variable model approach can help identify variation in the accuracy of group mean difference. However, hindrances to the accuracy of latent mean orthogonal comparisons when this assumption is untenable remains unsettled. This …
Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries
Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Researchers understand that conducting numerous pairwise comparisons between group means increases the Type I error rate, prompting the use of planned contrasts like orthogonal contrast sets. Implicit to orthogonal contrast sets is the principal assumption that groups are balanced in size. Further, when dealing with complex variables like latent constructs, specialized modeling is necessary. Understanding how violations of the assumptions of an orthogonal contrast set and the latent variable model approach can help identify variation in the accuracy of group mean difference. However, hindrances to the accuracy of latent mean orthogonal comparisons when this assumption is untenable remains unsettled. This …
Exploring The Associations Between Perceived Parent Communication And Involvement, Community Violence Exposure During Adolescence, And Subsequent Risk For Alcohol Use Disorder In Young Adulthood, Alexandra Toscova Tonigan
Exploring The Associations Between Perceived Parent Communication And Involvement, Community Violence Exposure During Adolescence, And Subsequent Risk For Alcohol Use Disorder In Young Adulthood, Alexandra Toscova Tonigan
Individual, Family, and Community Education ETDs
This dissertation explores the dynamics between parenting practices, family structure, community violence exposure, and adolescent development through three interrelated studies. Collectively, these papers address how family environments shape adolescent experiences and outcomes, including alcohol use disorder (AUD). Using data from the Add Health study, this dissertation offers insights for researchers and clinicians supporting youth in vulnerable contexts. Chapter 1 examines the influence of average perceived communication and involvement, as well as differences in these behaviors between parents, on adolescent community violence exposure. This study critiques the conventional focus on averages, emphasizing the impact of discordant parenting. Chapter 2 investigates how …
The Feasibility Of Utilizing The Open Dynamic Interaction Network (Odin) App To Assess Rema Data Across 30 Days Among Those Recovering From Alcoholism, Dennis E. Mcchargue, Bilal Khan, Jesscia Phelps, Patrick Duryea, Kimberly A. Tyler, Arthur Andrews, Ellie Reznicek, Lucy Napper, Mohamed Saad, Hsuan-Wee Lee
The Feasibility Of Utilizing The Open Dynamic Interaction Network (Odin) App To Assess Rema Data Across 30 Days Among Those Recovering From Alcoholism, Dennis E. Mcchargue, Bilal Khan, Jesscia Phelps, Patrick Duryea, Kimberly A. Tyler, Arthur Andrews, Ellie Reznicek, Lucy Napper, Mohamed Saad, Hsuan-Wee Lee
Department of Psychology: Faculty Publications
About ~4 million people with an alcohol use disorder receive treatment annually, and frequent relapse has produced a rapid revolving door between recovery and use. This paper presents preliminary data from a prospective micro-longitudinal study (30 days) that examines co-evolution of relapse risk processes of people with alcohol use disorders who entered a short-term residential substance use treatment. The primary goal of the current data was to assess the feasibility of using the open dynamic interaction network (ODIN) responsive ecological momentary assessment (rEMA). rEMA collected daily estimates on affect, urges, sober-support engagement, and use. The ODIN app administered twelve questions …
Exploring Healthcare Chatbot Information Presentation: Applying Hierarchical Bayesian Regression And Inductive Thematic Analysis In A Mixed Methods Study, Samuel Nelson Koscelny
Exploring Healthcare Chatbot Information Presentation: Applying Hierarchical Bayesian Regression And Inductive Thematic Analysis In A Mixed Methods Study, Samuel Nelson Koscelny
All Theses
High blood pressure, also known as hypertension, significantly increases the risk of heart disease and stroke, which are leading causes of death in the United States. While contributing to over 691,000 deaths in 2021 alone in the United States (U.S.), it also imposes immense economic burden on the healthcare system, costing approximately $131 billion annually. One way to address this issue is for increased self-care behaviors and medication adherence, both of which require sufficient health literacy. Despite the importance of health literacy, 90% of U.S. adults struggle with health-related subjects. Overcoming the issues associated with health literacy requires addressing the …
Informed Consent Document Delivery: Effects On Appalachian Caregivers' Comprehension, Trust In Researchers, And Willingness To Participate, Tess A. Simpson
Informed Consent Document Delivery: Effects On Appalachian Caregivers' Comprehension, Trust In Researchers, And Willingness To Participate, Tess A. Simpson
Electronic Theses and Dissertations
The purpose of the present study was to investigate whether altering an informed consent document (ICD), in ways that either promote or inhibit accessibility, would affect potential participants’ willingness to participate in a child development laboratory-based study. Specifically, I was interested in assessing the willingness to participate of historically underrepresented groups, especially Appalachian caregiver-child dyads. I altered three parameters of a previously approved and employed ICD to explore whether these parameters impacted Appalachian caregivers’ comprehension of the study, willingness to participate, and trust in the researchers. The manipulated parameters included reading level, utilization of illustrative pictures, and inclusion of text-to-speech …
Gender Stereotyping In An Agricultural Sample, Andrea Fink-Armold
Gender Stereotyping In An Agricultural Sample, Andrea Fink-Armold
UNLV Theses, Dissertations, Professional Papers, and Capstones
A vast wealth of social psychological research conducted over half a century has demonstrated the consequences of gender stereotypes. However, this research has significant limitations. Namely, generalizability outside of academia and the effects of social change. This study examined a non-academic population that has recently experienced significant gender role redistribution to overcome these limitations. Utilizing a full-cycle research approach consisting of both ethnographic and experimental methods, I examined three research questions: 1) how do gender stereotypes manifest within rural agricultural communities? 2) how is women’s increased participation in agriculture related to changes in gender stereotype use? and 3) how do …
The Institutional Challenges Of A Quantified Self Study: An Attempt To Ascertain How Data Collected From A Mobile Device Can Be An Indicator Of Personal Mental Health Over Time, Julian Lazaras
University Honors Theses
The adoption of an application of new technology always comes with a bias, this is never more true for the case of human behavioral analytics within higher education. While movements such as the quantified self movement make strides to reinterpret the realm of data analytics, psychology, and computer science, there are inevitably limitations to the adoption and application of such approaches within the standard realm of research. Herein is presented a case where an effort to evaluate the prospect of use of mobile phone data as secondary indicators of personal mental health through the lens of data analysis was put …
Measurement Invariance Of The Pandemic Anxiety Inventory In Different Demographic Groups, Irvin Sam Schonfeld, Tasmyn Prytherch, Mark Cropley, Jay Verkuilen, Renzo Bianchi
Measurement Invariance Of The Pandemic Anxiety Inventory In Different Demographic Groups, Irvin Sam Schonfeld, Tasmyn Prytherch, Mark Cropley, Jay Verkuilen, Renzo Bianchi
Publications and Research
Background The Pandemic Anxiety Inventory (PAI) was developed in the context of the COVID-19 pandemic. Its content allows it to assess anxiety in connection to any pandemic. Previous research has demonstrated the instrument’s reliability and validity. An important question for clinicians and researchers, however, remains open: Does the PAI have similar meaning for members of different demographic groups? The finding of measurement invariance would allow clinicians and researchers to comparatively assess pandemic-related anxiety across demographic groups, including favored and disfavored groups.
Methods We conducted a multi-group confirmatory factor analysis to assess the measurement invariance of the PAI using data obtained …
The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata
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 …
Religious Communication In Interfaith Romantic Relationships: Positive Approaches To Improve Relationship Outcomes, Jaclyn K. Doherty
Religious Communication In Interfaith Romantic Relationships: Positive Approaches To Improve Relationship Outcomes, Jaclyn K. Doherty
Dissertations, Theses, and Capstone Projects
As interfaith romantic relationships become more common, it is important to understand how couples can effectively navigate their religious differences and promote positive relationship outcomes. A critical strategy to this end is communication, yet the existing literature provides limited evidence to understand how the content of religious conversations affects couples’ outcomes. This dissertation explores communication about religion in interfaith relationships and positive relational approaches to religion that may increase relationship quality.
First, I conducted a mixed methods pilot study, finding that interviewees in interfaith couples promoted relationship quality, in part, by addressing their religious differences and recognizing their religious similarities. …
At The Intersection Of Domestic Violence And Mass Shootings: A Qualitative Analysis Of The Relationship Between Ipv And Gun Violence, Troy Bleau
University Honors Theses
The intersectional study of domestic violence and mass shootings has only recently been the subject of inquiry within the psychology field. Within the past ten years research has been developed to examine the relationship between these two epidemics. What authors have found is that DV does play a role in shooting perpetration. This study aimed to identify domestic violence as a risk factor to predict, and subsequently intervene before future instances of shootings. 112 shootings were analyzed between the years of 2020 and 2023--they were then categorized as DV-related, non-DV related, and/or History of DV. The tested hypothesis was that …
Embodied Co-Regulation: A Neuroregulatory-Informed Dance/Movement Therapy Transition Intervention Method For Arousal Regulation For Adolescents In A Partial Hospitalization Program, Anamaria Guzman
Expressive Therapies Capstone Theses
This thesis introduces a novel Dance/Movement Therapy (DMT) approach, focusing on nervous system arousal regulation during transitions between therapy groups. The core of the method involves a brief 5-minute exercise designed to modulate arousal levels, encompassing alertness and energy, aiming to establish a baseline homeostasis. Rooted in Polyvagal Theory and Developmental Neurobiology, the approach assumes the co-regulation of nervous systems within a group therapeutic setting. Two primary outcomes are self-assessed: 1) somatic experiences documented through narratives and 2) nervous system biodata measured using the Flowtime headband monitoring of brainwaves, heart rate, and other biomarkers. Results indicated that all six sessions …
Investigating The Direction Of Item Parameter Bias In The Presence Of Rapid Guessing, Sarah Alahmadi
Investigating The Direction Of Item Parameter Bias In The Presence Of Rapid Guessing, Sarah Alahmadi
Dissertations, 2020-current
Inadequate examinee test-taking effort is especially concerning when the results of low-stakes tests are used to inform high-stakes policy or psychometric decisions. Although abundant is the literature on the negative impact of low test-taking effort (e.g., Wise & DeMars, 2005) and ways to address it (e.g., Alahmadi & DeMars, 2024; Lau et al., 2009), integrating it into assessment practices has long been in a rudimentary stage. The findings presented in this dissertation serve as a clarion call for testing professionals to reinforce efforts that bridge research and practice. The current study investigated how rapid guessing (RG)—a form of non-effortful test-taking …
Measuring Alumni Career Outcomes: A Validity Study, Mason Jones
Measuring Alumni Career Outcomes: A Validity Study, Mason Jones
Masters Theses, 2020-current
Higher education experiences routine scrutiny as the cost continues to rise and evidence of a return on investment is variable. Higher education institutions would benefit from measuring post-graduate outcomes to better articulate their impact. The current study examines the factor structure and measurement invariance of the National Alumni Career Mobility (NACM) a 25-item survey, that is widely used to assess alumni career outcomes. Prior psychometric reports for the NACM purported two different factor structures: a five-factor and bifactor model. National reports disaggregated the data by demographic variables, including first-generation status. Disaggregation by first-generation status is problematic given the lack of …
Examining The Psychometric Properties Of Issaq-Ss Subscales And Testing Measurement Invariance Across First-Generation Status, Riley Herr
Masters Theses, 2020-current
The ISSAQ-SS is a new scale developed for the purpose of measuring students on twelve noncognitive skills, all of which are theoretically predictive of academic success in higher education. Each of the twelve noncognitive skills measured via the ISSAQ-SS are represented by distinct subscales which contain five to nine items. Students respond to each item using a 4-point Likert scale. Given that the ISSAQ-SS is still new, further validity evidence is needed to support the use of this scale. For example, prior to comparing ISSAQ-SS subscale scores across groups of interest, it is necessary to establish that the subscales exhibit …
An Investigation Of The Effectiveness Of Student’S T-Test Under Heterogeneity Of Variance, Hayden Nelson
An Investigation Of The Effectiveness Of Student’S T-Test Under Heterogeneity Of Variance, Hayden Nelson
Masters Theses & Specialist Projects
Within the field of psychology, few tests have been as thoroughly investigated as Student’s t-test. One area of criticism is the use of the test when the assumption for heterogeneity of variance between two samples is violated, such as when sample sizes and observed sample variances are unequal. The current study proposes a Monte Carlo analysis to observe a broad range of conditions in efforts to identify the resulting fluctuations in the proportion obtained significant results for two conditions: no mean difference (𝜇 = 𝜇) compared to the set level of alpha, and small-to-moderate mean differences (𝜇 ≠ 𝜇) compared …
Regression Discontinuity Designs Within A Latent Variable Framework: Measurement Considerations For The Accuracy Of The Treatment Effect, Sarah Hammami
College of Education and Human Sciences: Dissertations, Theses, and Student Research
Regression discontinuity designs are valuable quasi-experimental designs, especially when randomized control/clinical trials are ethically or practically challenging. Latent variables are prevalent in the social, behavioral, and educational (SBE) sciences—measurement assumptions have to be tested and met when using such variables. Not meeting those assumptions leads to biased results and (likely) erroneous inferential making. One way to minimize the impact of measurement assumption violation is to use latent variable modeling such as structural equation modeling (SEM). Soland, Johnson and Talbert (2022) conducted two simulation studies testing the effect of using a sum score (when the assumptions for using such a score …
Effects Of Emotional Intelligence And Social Support On The Relationship Between Childhood Maltreatment And Disordered Eating, Rachel Kilby
Effects Of Emotional Intelligence And Social Support On The Relationship Between Childhood Maltreatment And Disordered Eating, Rachel Kilby
Undergraduate Honors Theses
Current research has established a connection between childhood maltreatment and eating disorders, and some studies have looked at emotional intelligence or social support as mediators. However, little research has looked at how emotional intelligence and social support work together in the relationship between childhood maltreatment and eating disorders. This study looked at how emotional intelligence and social support act as mediators in this relationship. Undergraduate students (N=134) were administered the Childhood Trauma Questionnaire (CTQ-90), Wong-Law Emotional Intelligence Scale (WLEIS), Difficulties in Emotion Regulation Scale (DERS), Perceived Social Support Scale (PSSS), and the Eating Attitudes Test (EAT-26). Correlations between scales were …
Reframing Addiction As A Coping Response: A Needed Shift In Modern Public Health Paradigms, Anthony King
Reframing Addiction As A Coping Response: A Needed Shift In Modern Public Health Paradigms, Anthony King
UNLV Theses, Dissertations, Professional Papers, and Capstones
What are the primary risk factors that compel one person towards addiction and not another? After decades of research, there is still no clear consensus. Some experts say addiction is a brain disease; others say it is a willful act, or even an outright crime. Nevertheless, the three research studies contained within this dissertation suggest an alternative, more parsimonious public-health-centered framework for viewing addictive behavioral patterns: as a biopsychosocial coping strategy for past and present stressors. In Study 1, this idea was examined by evaluating how symptoms of posttraumatic stress disorder (PTSD) were associated with problem gambling severity, different gambling …
Applying Exploratory Learning Methods To Sociopolitical Beliefs And Cognition., Sarah French
Applying Exploratory Learning Methods To Sociopolitical Beliefs And Cognition., Sarah French
Electronic Theses and Dissertations
Americans are polarized along party lines across a variety of sociopolitical issues, including climate change and sustainability issues. Sociopolitical messaging often triggers biased processing that results in defensive rejection or biased elaboration (i.e., counterarguing) of belief-incongruent information. The current research examined whether exploratory learning activities, primarily applied in STEM-education research, can foster belief updating about polarized sustainability issues. Exploratory learning encourages people to engage with learning materials and arrive at their own conclusions before receiving direct instruction/messaging. In two experiments, participants reported their beliefs about carbon taxes and electric vehicle incentives (among other issues) before and after receiving counter-attitudinal persuasive …
Investigating Bimanual Haptic Exploration With Arm-Support Exoskeletons, Balagopal Raveendranath
Investigating Bimanual Haptic Exploration With Arm-Support Exoskeletons, Balagopal Raveendranath
All Dissertations
The ability to judge properties like weight and length of hand-held objects is essential in industrial work. Sometimes workers use devices like exoskeletons, which can augment their ability to lift and move heavy objects. Previous studies have investigated the perceptual information available for one-handed weight and length judgments. The current study investigated how blindfolded participants bimanually heft and wield objects to explore haptic information, to perceive object heaviness or length. The study also investigated the effects of using an arm-support exoskeleton (ASE) on the perceived weight of hand-held objects. We empirically tested whether people wield and manipulate objects differently, depending …
Praise In The Collegiate Classroom: How Narcissism, Entitlement, Empathy, And A Desire For Fame Impact Student’S Preferences For Praise, Alexandra Crissman
Praise In The Collegiate Classroom: How Narcissism, Entitlement, Empathy, And A Desire For Fame Impact Student’S Preferences For Praise, Alexandra Crissman
Student Scholar Showcase
The purpose of this study was to examine the relationship between personality traits, namely narcissism, entitlement, empathy, and a desire for fame, and a preference for public praise in a student population. Past research has shown that those who are higher in narcissism are also higher in entitlement and that these rates have been rising with future generations. Past research has also indicated a negative relationship between narcissistic tendencies and empathy, inferring that those higher in narcissism tend to score lower on empathy measures. In this study, undergraduate students were surveyed online to determine scores on four measures of traits …
The Relation Of Self-Compassion And Belongingness Among Adults From India Living In San Antonio, Tx, Usa, John Baptist
The Relation Of Self-Compassion And Belongingness Among Adults From India Living In San Antonio, Tx, Usa, John Baptist
Posters - 2024
Self-compassion, a perspective of self-kindness, mindfulness, and common humanity, is a healthy way of relating to self and is correlated with psychological wellbeing (Neff, 2003). Baumeister and Leary (1995) defined belongingness as a fundamental human need for frequent, affectively pleasant interactions with a few other people in the context of stable, enduring, and affective concern for each other. Self-compassion was inversely related to perceived burdensomeness and thwarted belongingness among college students (Umphrey et al., 2021). A longitudinal study among Asian-American students found that thwarted belongingness and perceived burdensomeness contributed to higher interpersonal shame and depression. An increase in selfcompassion was …
Leveraging Passively-Collected Wearable Accelerometry Data Coupled With Machine Learning To Longitudinally Detect And Predict Major Depressive Disorder, George D. Price
Leveraging Passively-Collected Wearable Accelerometry Data Coupled With Machine Learning To Longitudinally Detect And Predict Major Depressive Disorder, George D. Price
Dartmouth College Ph.D Dissertations
Major depressive disorder (MDD) is a debilitating and heterogenous mental health disorder that is characterized by symptoms including low mood, issues with sleep, psychomotor difficulties, and fatigue. MDD affects one in twenty adults worldwide and has shown increased prevalence in the United States over the past twenty years. As such, efforts to effectively screen, diagnose, and treat MDD are paramount. However, to address these concerns, an increased understanding of an individual’s daily behavior is required, which is not adequately captured by infrequent clinical visits. One such method for consistent, longitudinal observation, passively-collected accelerometry, serves as an observational method for unobtrusively …
The Relationship Between Cognitive Impairment In Psychiatric Patients And Readmission Rate To An Inpatient Facility, Cherilyn Isis Schuff
The Relationship Between Cognitive Impairment In Psychiatric Patients And Readmission Rate To An Inpatient Facility, Cherilyn Isis Schuff
Theses and Dissertations
The primary intention of this study was to further understand the impact of assessing cognitive impairment in psychiatric patients, as a mediating factor on readmission rates. Mild cognitive dysfunction impacts a patient’s functional outcomes (Bowie & Harvey, 2006; Davis et al., 2012; Marcantonio, et al., 2001). Little information exists to guide best practices in the treatment of adults with cognitive impairment who are hospitalized for acute conditions (Davis et al., 2012). A cognitive impairment may impact patient prognosis and ability to function outside of a setting focused on stabilization. Neuropsychological testing is a valuable tool in predicting a patient’s cognitive …