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Description
Methods to test hypotheses of mediated effects in the pretest-posttest control group design are understudied in the behavioral sciences (MacKinnon, 2008). Because many studies aim to answer questions about mediating processes in the pretest-posttest control group design, there is a need to determine which model is most appropriate to

Methods to test hypotheses of mediated effects in the pretest-posttest control group design are understudied in the behavioral sciences (MacKinnon, 2008). Because many studies aim to answer questions about mediating processes in the pretest-posttest control group design, there is a need to determine which model is most appropriate to test hypotheses about mediating processes and what happens to estimates of the mediated effect when model assumptions are violated in this design. The goal of this project was to outline estimator characteristics of four longitudinal mediation models and the cross-sectional mediation model. Models were compared on type 1 error rates, statistical power, accuracy of confidence interval coverage, and bias of parameter estimates. Four traditional longitudinal models and the cross-sectional model were assessed. The four longitudinal models were analysis of covariance (ANCOVA) using pretest scores as a covariate, path analysis, difference scores, and residualized change scores. A Monte Carlo simulation study was conducted to evaluate the different models across a wide range of sample sizes and effect sizes. All models performed well in terms of type 1 error rates and the ANCOVA and path analysis models performed best in terms of bias and empirical power. The difference score, residualized change score, and cross-sectional models all performed well given certain conditions held about the pretest measures. These conditions and future directions are discussed.
ContributorsValente, Matthew John (Author) / MacKinnon, David (Thesis advisor) / West, Stephen (Committee member) / Aiken, Leona (Committee member) / Enders, Craig (Committee member) / Arizona State University (Publisher)
Created2015
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Description
Missing data are common in psychology research and can lead to bias and reduced power if not properly handled. Multiple imputation is a state-of-the-art missing data method recommended by methodologists. Multiple imputation methods can generally be divided into two broad categories: joint model (JM) imputation and fully conditional specification (FCS)

Missing data are common in psychology research and can lead to bias and reduced power if not properly handled. Multiple imputation is a state-of-the-art missing data method recommended by methodologists. Multiple imputation methods can generally be divided into two broad categories: joint model (JM) imputation and fully conditional specification (FCS) imputation. JM draws missing values simultaneously for all incomplete variables using a multivariate distribution (e.g., multivariate normal). FCS, on the other hand, imputes variables one at a time, drawing missing values from a series of univariate distributions. In the single-level context, these two approaches have been shown to be equivalent with multivariate normal data. However, less is known about the similarities and differences of these two approaches with multilevel data, and the methodological literature provides no insight into the situations under which the approaches would produce identical results. This document examined five multilevel multiple imputation approaches (three JM methods and two FCS methods) that have been proposed in the literature. An analytic section shows that only two of the methods (one JM method and one FCS method) used imputation models equivalent to a two-level joint population model that contained random intercepts and different associations across levels. The other three methods employed imputation models that differed from the population model primarily in their ability to preserve distinct level-1 and level-2 covariances. I verified the analytic work with computer simulations, and the simulation results also showed that imputation models that failed to preserve level-specific covariances produced biased estimates. The studies also highlighted conditions that exacerbated the amount of bias produced (e.g., bias was greater for conditions with small cluster sizes). The analytic work and simulations lead to a number of practical recommendations for researchers.
ContributorsMistler, Stephen (Author) / Enders, Craig K. (Thesis advisor) / Aiken, Leona (Committee member) / Levy, Roy (Committee member) / West, Stephen G. (Committee member) / Arizona State University (Publisher)
Created2015
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Description
The purpose of this study was to examine under which conditions "good" data characteristics can compensate for "poor" characteristics in Latent Class Analysis (LCA), as well as to set forth guidelines regarding the minimum sample size and ideal number and quality of indicators. In particular, we studied to which extent

The purpose of this study was to examine under which conditions "good" data characteristics can compensate for "poor" characteristics in Latent Class Analysis (LCA), as well as to set forth guidelines regarding the minimum sample size and ideal number and quality of indicators. In particular, we studied to which extent including a larger number of high quality indicators can compensate for a small sample size in LCA. The results suggest that in general, larger sample size, more indicators, higher quality of indicators, and a larger covariate effect correspond to more converged and proper replications, as well as fewer boundary estimates and less parameter bias. Based on the results, it is not recommended to use LCA with sample sizes lower than N = 100, and to use many high quality indicators and at least one strong covariate when using sample sizes less than N = 500.
ContributorsWurpts, Ingrid Carlson (Author) / Geiser, Christian (Thesis advisor) / Aiken, Leona (Thesis advisor) / West, Stephen (Committee member) / Arizona State University (Publisher)
Created2012
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Description
This paper explores how changing the color of chocolate can affect its perceived taste. While color psychology and its effects on food industry marketing are widely studied, this experiment focuses on blue, red, green, and purple striped chocolates. The study conducted for this paper focuses on these four colors based

This paper explores how changing the color of chocolate can affect its perceived taste. While color psychology and its effects on food industry marketing are widely studied, this experiment focuses on blue, red, green, and purple striped chocolates. The study conducted for this paper focuses on these four colors based on their utilization in previously conducted experiments. Each color of chocolate involved 25 participants, for a total of 100 total individuals, who each taste tested one piece and immediately filled out a survey. The survey asked demographic questions, colored chocolate preferences, and questions ranking the chocolate's appeal. While the outcome showed that blue, green, red, and purple was indeed the order of appealing colors, the study results indicate the participants' color preferences did not affect their perceived taste of the chocolate they sampled. Rather, their preference was based on experiences they associated with the color of the chocolate they tasted.
ContributorsChan, Sydney (Author) / Gray, Nancy (Thesis director) / Giard, Jacques (Committee member) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The purpose of this project is to raise awareness for children with social anxiety. As a book directed to children around the age of 12, it will give them a character they can relate to, so they can feel less alone. Throughout the story, the main character experiences symptoms of

The purpose of this project is to raise awareness for children with social anxiety. As a book directed to children around the age of 12, it will give them a character they can relate to, so they can feel less alone. Throughout the story, the main character experiences symptoms of social anxiety and is subject to events that exacerbate those symptoms. Despite her challenges, the main character is able to effectively cope with her social anxiety through her own hard work, and help from her family members, teachers, and peers. The intent is to show children with social anxiety that, contrary to what their disorder makes them feel, they are special and have the capacity to develop skills that are relevant to their talents and interests, and overcome their fears. They should know that parents, teachers, and peers will be there to help and support them and will not judge them as harshly as they suspect. The supporting characters in this story show how a strong support base can influence the success of children with social anxiety. By the end of the story, the main character still has social anxiety, but has gained confidence and her symptoms are less severe. This illustrates that, although social anxiety cannot simply be overcome—that is, it doesn’t go away completely—it can be effectively managed with assistance from close others, and perseverance.
ContributorsDillard, Bethlehem (Author) / Lewis, Stephen (Thesis director) / Gaffney, Cynthia (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description
The current study investigated whether intermittent restraint stress (IRS) would impair fear extinction learning and lead to increased anxiety and depressive- like behaviors and then be attenuated when IRS ends and a post- stress rest period ensues for 6 weeks. Young adult, male Sprague Dawley rats underwent restraint stress using

The current study investigated whether intermittent restraint stress (IRS) would impair fear extinction learning and lead to increased anxiety and depressive- like behaviors and then be attenuated when IRS ends and a post- stress rest period ensues for 6 weeks. Young adult, male Sprague Dawley rats underwent restraint stress using wire mesh (6hr/daily) for five days with two days off before restraint resumed for three weeks for a total of 23 restraint days. The groups consisted of control (CON) with no restraint other than food and water restriction yoked to the restrained groups, stress immediate (STR-IMM), which were restrained then fear conditioned soon after the end of the IRS paradigm, and stress given a rest for 6 weeks before fear conditioning commenced (STR-R6). Rats were fear conditioned by pairing a 20 second tone with a footshock, then given extinction training for two days (15 tone only on each day). On the first day of extinction, all groups discriminated well on the first trial, but then as trials progressed, STR-R6 discriminated between tone and context less than did CON. On the second day of extinction, STR- IMM froze more to context in the earlier trials than compared to STR-R6 and CON. As trials progressed STR-IMM and STR-R6 froze more to context than compared to CON. Together, CON discriminated between tone and context better than did STR-IMM and STR-R6. Sucrose preference, novelty suppressed feeding, and elevated plus maze was performed after fear extinction was completed. No statistical differences were observed among groups for sucrose preference or novelty suppressed feeding. For the elevated plus maze, STR-IMM entered the open arms and the sum of both open and closed arms fewer than did STR- R6 and CON. We interpret the findings to suggest that the stress groups displayed increased hypervigilance and anxiety with STR-R6 exhibiting a unique phenotype than that of STR-IMM and CON.
ContributorsShah, Vrishti Bimal (Author) / Conrad, Cheryl (Thesis director) / Newbern, Jason (Committee member) / Judd, Jessica (Committee member) / School of Life Sciences (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
The purpose of this study was to examine whether positive affirmations can lower depressive symptoms amongst male and female Arizona State University (ASU) honors students. Male and female ASU honors students (20-22 years of age; N=40) were recruited from Barrett, the Honors College, through email and online newsletters. Students who

The purpose of this study was to examine whether positive affirmations can lower depressive symptoms amongst male and female Arizona State University (ASU) honors students. Male and female ASU honors students (20-22 years of age; N=40) were recruited from Barrett, the Honors College, through email and online newsletters. Students who had been previously or were at the time diagnosed with clinical depression were not permitted to participate in the study. Only 9 female and 14 males completed the entire study. Participants completed a pre- and post- test that each consisting of reading aloud questions and their answers from the Beck's Depression Inventory (BDI) while being video and audio recorded. Participants were given a list of 20 affirmations after the pre-test and were instructed to choose and read to themselves a new affirmation three times a day, 3 times a week for a total of 6 weeks. There was an average increase among all participants' BDI scores, but no significance was found in the improvement. Emotional responses were captured using the facial recognition software, Noldus FaceReader, and was used to observe whether there was emotional dissonance in the BDI answers. The correlation between the emotion "sad" and the answer chosen was found by using Pearson's r for each participants. There were only 2 total interviews that indicated a strong positive correlation and 1 interview that indicated strong negative correlation. All others were either moderate or minimal correlation, showing that the majority of participants' emotions may have not affected their answer choices. Results indicated there is no significant improvement when using affirmations to improve depressive symptoms and mood.
ContributorsChan, Angie (Co-author) / Duran, Jose (Co-author) / Chisum, Jack (Thesis director) / Hrncir, Micki (Committee member) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo

There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo Semler, and William Gore, have been conducted in order to observe an apparent pattern. This data, coupled with the data from Michael Boehringer's story, is used to formulate a solution to the proposed problem. Each case study is designed to observe characteristics of the individuals that allow them to be successful and exhibit traits of happiness. Happiness will be analyzed in terms of passion and desire to perform consistently. Someone who does what they love, paired with the ability to perform on a regular basis, is considered to be a happy person. The data indicates that there is an observable pattern within the results. From this pattern, certain traits have been highlighted and used to formulate guidelines that will aid someone falling short of success and happiness in their lives. The results indicate that there are simple questions that can guide people to a happier life. Three basic questions are defined: is it something you love, can you see yourself doing this every day and does it add value? If someone can answer yes to all three requirements, the person will be able to find happiness, with success following. These guidelines can be taken and applied to those struggling with unhappiness and failure. By creating such a formula, the youth can be taught a new way of thinking that will help to eliminate these issues, that many people are facing.
ContributorsBoehringer, Michael Alexander (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Today, successful design is not only pleasing to the eye but may also help to manage social behaviors which can lead to increased satisfaction and increased revenue for clients. Designers function as problem solvers to provide solutions to challenges certain spaces face promoting or driving desired human interaction through effective

Today, successful design is not only pleasing to the eye but may also help to manage social behaviors which can lead to increased satisfaction and increased revenue for clients. Designers function as problem solvers to provide solutions to challenges certain spaces face promoting or driving desired human interaction through effective design of the built environment. The experience-based economy of the 21st century prompts companies to attempt to stage an experience by connecting on a personal level with consumers in order to create value and support consumer needs. In experience-based design, interior design embraces social psychology by structuring the built environment to function as a tool to manage social interactions. Due to the nature of the human animal, social interactions in turn alter the culture of a specific place in an iterative process. Through this dynamic relationship, interior design can seek to either support the culture or function of a place and its users or work to effect change.
ContributorsMarcolla, Patrice Marie (Author) / Bernardi, Jose (Thesis director) / Bochart, Sonja (Committee member) / W. P. Carey School of Business (Contributor) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Introduction: The current study aimed to explore the prevalence rates of binge-eating and weight compensatory behaviors across sexual minority undergraduate men and women. Methods: The sample included 3411 undergraduate men and women from a large public university. Participants completed a self-report online questionnaire regarding various personality, social networking, and health

Introduction: The current study aimed to explore the prevalence rates of binge-eating and weight compensatory behaviors across sexual minority undergraduate men and women. Methods: The sample included 3411 undergraduate men and women from a large public university. Participants completed a self-report online questionnaire regarding various personality, social networking, and health behaviors. Results: Analyses showed no difference in binge-eating for women, but statistically significant differences across sexual orientation groups for weight compensatory behaviors. Analyses for men showed statistically significant differences between sexual orientation groups for objective-binge eating and self-induced vomiting. There were no differences among men for other behaviors. Discussion: These findings demonstrate both statistically and clinically significant differences across sexual orientation groups indicating that gender as well as sexual orientation bear a correlation to the propensity to engage in certain disordered eating behaviors.
ContributorsVon Schell, Anna Victoria (Author) / Perez, Marisol (Thesis director) / Ohrt, Tara (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05