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The 2 goals of the present investigation were to 1) examine the reliability of the Children’s Behavior Questionnaire: Short Form (CBQ) in a sample of 4-7 year-old children from the Ukraine and 2) compare those children’s temperament profiles to a) one another when the form was administered in 2 different languages and b) their American counterparts from the CBQ standardization sample. Three waves of data were collected from the parents of 167 children residing in Kiev, Ukraine. Internal reliability analyses showed good internal consistency of the instrument. Comparative analyses conducted both within and between cultures showed similarities and differences across the 15 CBQ dimensions. The observed differences were in the predicted directions: Ukrainian children were rated higher than American children on dimensions reflecting negative affectivity. However, the language of the instrument was a mitigating factor. This finding supports the possibility that parental ethnotheories are embedded in specific languages.

Casual sex is common on college campuses and is potentially relevant to a person's self-esteem. Unfortunately, data are mixed regarding how self-esteem is influenced by casual sex. This thesis is an attempt to understand how casual sex influences women's self-esteem through a series of questionnaires. Three hypotheses were of interest. The first predicted that sociosexuality and desire would explain casual sex engagement. Second, that casual sex behaviors and attitudes would predict self-esteem. Third, looking only at those who engaged in casual sex; casual sex attitudes and affect would predict self-esteem. Using hierarchical regression, results indicated that there was a curvilinear effect for sociosexuality on number of casual sex partners. Results for the second hypothesis showed an interaction between behavior and attitudes to predict selfesteem. Finally, for hypothesis three, results showed a moderation effect for attitudes on negative affect regarding overall casual sex experience and self-esteem.

Cannabis is widely consumed by humans for pharmacological effects that are mediated by THC, though there is little evidence that THC is a primary reinforcer in non-human animal models. We hypothesized that THC may have potent reinforcement enhancing effects, comparable to other drugs (e.g., nicotine and caffeine) which are also widely consumed by humans, but difficult to establish as primary reinforcers in non-humans. In three experiments with male and female rats saccharin (SACC) or a visual stimulus (VS) served as reinforcers for operant behavior. We explored several pharmacological parameters of THC on responding for SACC or VS, including THC dose, intervals between THC injections and testing, and intervals between test sessions. THC acts as a reinforcement enhancer for both SACC and a VS across a range of doses and intervals. Daily THC injections systematically reduced behavior, possibly due to accumulation of THC bioavailability.

In this dissertation, the relationship between flow state, serious games, and learning was examined. Serious games, which are games that convey something other than enjoyment (e.g., learning), are increasingly popular platforms for research, training, and advertisement. The elements that make serious games useful to researchers, trainers, and practitioners are closely linked to those that make up the positive psychology construct of flow state. Flow state describes an optimum experience that is encountered when a variety of factors are met, and is characterized by high focus, engagement, motivation, and immersion. While flow state is often discussed in the serious games literature, in-depth empirical examinations of flow state remain elusive. In this dissertation I addressed this need by conducting a thorough literature review of flow, serious games, and game-based learning in order to propose a new model of flow in games. Two studies were conducted in support of this model. The first experiment consisted of the creation and validation of a play experience scale. Based on the data from 203 Study 1 participants, the Play Experience Scale was validated for use with video games. The 14-item version of the Play Experience Scale was composed of the components of freedom, lack of extrinsic motivation, autotelic experience, and direct assessment of play. The scale was reliable, with a calculated α of .86. In the second study, the newly developed scale was used alongside an immune system serious game to examine the impact of play, in-game performance, and emotional experience on flow in games. In an effort to provide a more symmetrical version of the scale, two items were added to the scale, iii resulting in a 16-item revision. Based on the empirical results obtained from Study 2’s 77 participants, the proposed model of flow in games was revised slightly. Though Study 2 only examined a subset of the overall model of flow in games, the evidence suggested the model was a good theoretical match. Further, the two added items of the Play Experience Scale were valid, providing a final 16-item version of the scale. Play and in-game performance were key predictors of game-based learning. Additionally, play, video game self-efficacy, and emotional experience exhibited a reciprocal relationship with flow state. Implications for serious game development, scientific research into games and learning, and industry testing of game playability were provided. Following these implications, conclusions were presented alongside suggestions for further research.

The purpose of the present study was to investigate whether developmental researchers were influenced in the laboratory by the characteristics of children who participate in their research. I hypothesized that experimenters, as social partners, would adapt their speaking and other behaviors to the child’s perceived temperamental profile and language proficiency. I specifically focused on whether experimenters would adhere to the experimental laboratory procedure of two elicited imitation tasks, Feed Bear and Make a Rattle, in an archival dataset. Participants included 61 primarily white 15-month-olds. Coders transcribed infant directed speech (IDS) and analyzed transcriptions for total words, words per sentence, and percentage of words with six or more letters. The present study revealed differential correlational findings across temperamental dimensions, experimenter IDS, and elicited imitation tasks. An investigation of this kind provides new information concerning procedural fidelity and how experimenters may be influenced by their child research participants.

<p>Trajectory formation is an important quality of human movement wherein the analysis of its kinematic structure often permits inferences regarding the underlying sensorimotor organization. The studies reported herein aimed to reveal how task-specific encoding of saccades contribute to two movement models. We first examined saccades for changes in the evidence for online spatial corrections in response to different instances of visual tracking. Results from our first study indicated the sensorimotor operations associated with making timed series responses permitted unhindered operation of online corrections in predictive saccades. These saccades imposed a demand on spatial working memory without suffering diminished corrections typical of single delayed memory-guided saccades. Next, we queried the role of ventral stream visuomotor processing, as well as the contribution of basic stimulus features to explaining known modulations of online saccadic corrections. Our results are consistent with the explanation that ventral stream contribution to target metrics influence trajectory kinematics, but did not induce diminished online corrections if vision of that illusory target was available at saccade onset. Using another movement task, we examined how different saccadic tracking behaviours dissociated the contribution of various sensorimotor operations involved in oculomotor preparation and execution to eye-hand coupling. By observing changes in manual trajectory in an oculo-manual task, we contrasted the effects of saccadic tracking in predictive and reactive modes, overt and covert, horizontal and vertical, spatially congruent or perpendicular axes of primary motion relative to eye-hand coupling. From these data we concluded that saccadic encoding induced execution-dependent coupling, and optionally motor planning-dependent coupling when task constraints specified temporal synchrony between eye and hand movements. Moreover, eventual motor execution was a prerequisite for the emergence of oculomotor planning-dependent coupling effects. This implied no apparent contribution to the coupling dynamic as an exclusive function of shifts in the spatial allocation of attention without oculomotor output.</p> / Doctor of Philosophy (PhD)

<p>Evidence suggests that a change in the firing rate of dopamine (DA) cells is a major neurobiological correlate of learning. The Temporal Difference (TD) learning algorithm provides a popular account of the DA signal as conveying the error between expected and actual rewards. Other accounts have attempted to code the DA firing pattern as conveying surprise or salience. The DA mediated cells have also been implicated in several neuropsychological disorders such as obsessive compulsive disorder and schizophrenia. Compelling neuropsychological explanations of the DA signal also frame it as conveying salience. A model-based reinforcement learning algorithm using a salience signal analogous to dopamine neurons was built and used to model existing animal behavioral data.</p> <p>Different reinforcement learning models were then compared under conditions of altered DA firing patterns. Several differing predictions of the TD model and the salience model were compared against animal behavioral data in an obsessive compulsive disorder (OCD) model using a dopamine agonist. The results show that the salience model predictions more accurately model actual animal behavior.</p> <p>The role of context in the salience model is different than the standard TD-learning algorithm. Several predictions of the salience model for how people should respond to context shifts of differing salience were tested against known behavioral correlates of endogenous dopamine levels. As predicted, individuals with behavioral traits correlated with higher endogenous dopamine levels are far more sensitive to low salience context shifts than those with correlates to lower endogenous dopamine levels. This is a unique prediction of the salience model for the DA signal which allows for better integration of reinforcement learning models and neuropsychological frameworks for discussing the role of dopamine in learning, memory and behavior.</p> / Doctor of Science (PhD)

Previous research has demonstrated associations between deliberate self-harm (DSH) and perfectionism, although most of that research used retrospective self-report measures of DSH, which are prone to various cognitive biases. Although perfectionism has been associated with alcohol abuse, no research has examined how alcohol intoxication may moderate the relation between perfectionism and DSH. The aims of this experimental study were to determine if perfectionism is associated with a laboratory analogue of DSH (the Self-Aggression Paradigm) and examine the role of alcohol intoxication as a potential moderator. Using archival data, blood alcohol content (BAC) was manipulated by randomly assigning participants to reach one of four target BACs. Results indicated that perfectionism was not associated with DSH (mean self-administered shock or number of “severe” shocks). There was no interaction between perfectionism and BAC. These findings are discussed within the context of the perfectionism measure’s psychometric characteristics and the strength of previous research findings.

The aim of this study was to examine associations between biases in decision-making (delay discounting [DD], opportunity cost neglect [OCN], status quo bias [SQB]), educational attainment, and use of cigarettes and other tobacco and nicotine delivery products among women of reproductive age. Women of reproductive age are of special interest because of the additional risks that cigarette smoking or use of these other products represents should they become pregnant. Data were collected anonymously online in survey format using Amazon Mechanical Turk [AMT]. Participants were 800 women of reproductive age (24-44 years) from across the US. Half (n = 400) were smokers who reported current, daily smoking and half (n = 400) were never smokers who reported smoking less than 100 cigarettes in their lifetime. Participants reported smoking characteristics, plans to quit smoking, use of nicotine replacement therapies, use of other tobacco and nicotine delivery products, alcohol and drug use histories, and the Fagerström Test for Nicotine Dependence. Participants completed two measures for each of the three biases in decision-making, the Barratt Impulsiveness Scale [BIS-11], and two scales measuring short- and long-term propensity to plan for money expenditures [PPMS and PPML]. Educational attainment analyses compared three education groups: high school or less vs. some college (e.g. some college/A.A.) vs. B.A. or higher. DD was steeper among current vs. never smokers and for women with lower vs. higher levels of education, with no significant interaction between smoking and education. Modifying the instructions of the DD measure to make the zero option explicit reduced DD similarly across levels of smoking status and education. OCN was worse at lower vs. higher educational attainment on one OCN measure, with no significant effect of smoking status or interaction between opportunity cost neglect and educational attainment on either measure. No evidence was found for stronger SQB by smoking status or education. Smoking status was related to BIS Total, BIS Motor and Nonplanning subscales and to PPML in initial models but remained significant after adjusting for baseline differences in participant characteristics only for BIS Motor subscale and educational attainment was related only to BIS Nonplanning subscale. Preliminary comparisons of e-cigarette users to non-users suggest smokers using e-cigarettes only differ from smokers not using e-cigarettes on measures related to quitting smoking whereas within never smokers e-cigarette users demonstrated a pattern of riskier decision-making compared to non-users. Results confirm that DD and education are important to understanding the use of tobacco and nicotine products in women of reproductive age, and suggest that smoking and educational attainment are independently related to discounting rates. The observed explicit-zero framing effect suggests making alternatives more explicit when presenting choices may help reduce DD and lead to better decision-making, which has possible treatment implications. Results identify OCN as an additional decision-making bias to consider in understanding how low educational attainment might relate to smoking vulnerabilities. The preliminary examination of e-cigarette use suggests for women of reproductive age above age 24 years, e-cigarette use among current smokers may reflect desire or attempts to quit or cut back on smoking whereas e-cigarette use among non-smokers may be a marker of a more impulsive, riskier repertoire, although additional study of this question is needed.