Matching Items (24)
Description
Although the issue of factorial invariance has received increasing attention in the literature, the focus is typically on differences in factor structure across groups that are directly observed, such as those denoted by sex or ethnicity. While establishing factorial invariance across observed groups is a requisite step in making meaningful cross-group comparisons, failure to attend to possible sources of latent class heterogeneity in the form of class-based differences in factor structure has the potential to compromise conclusions with respect to observed groups and may result in misguided attempts at instrument development and theory refinement. The present studies examined the sensitivity of two widely used confirmatory factor analytic model fit indices, the chi-square test of model fit and RMSEA, to latent class differences in factor structure. Two primary questions were addressed. The first of these concerned the impact of latent class differences in factor loadings with respect to model fit in a single sample reflecting a mixture of classes. The second question concerned the impact of latent class differences in configural structure on tests of factorial invariance across observed groups. The results suggest that both indices are highly insensitive to class-based differences in factor loadings. Across sample size conditions, models with medium (0.2) sized loading differences were rejected by the chi-square test of model fit at rates just slightly higher than the nominal .05 rate of rejection that would be expected under a true null hypothesis. While rates of rejection increased somewhat when the magnitude of loading difference increased, even the largest sample size with equal class representation and the most extreme violations of loading invariance only had rejection rates of approximately 60%. RMSEA was also insensitive to class-based differences in factor loadings, with mean values across conditions suggesting a degree of fit that would generally be regarded as exceptionally good in practice. In contrast, both indices were sensitive to class-based differences in configural structure in the context of a multiple group analysis in which each observed group was a mixture of classes. However, preliminary evidence suggests that this sensitivity may contingent on the form of the cross-group model misspecification.
ContributorsBlackwell, Kimberly Carol (Author) / Millsap, Roger E (Thesis advisor) / Aiken, Leona S. (Committee member) / Enders, Craig K. (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2011
Description
Research has shown that a developmental process of maturing out of alcohol involvement occurs during young adulthood, and that this process is related to both young adult role transitions (e.g., marriage) and personality developmental (e.g., decreased disinhibition and neuroticism). The current study extended past research by testing whether protective marriage and personality effects on maturing out were stronger among more severe late adolescent drinkers, and whether protective marriage effects were stronger among those who experienced more personality development. Parental alcoholism and gender were tested as moderators of marriage, personality, and late adolescent drinking effects on maturing out; and as distal predictors mediated by these effects. Participants were a subsample (N = 844; 51% children of alcoholics; 53% male, 71% non-Hispanic Caucasian, 27% Hispanic; Chassin, Barrera, Bech, & Kossak-Fuller, 1992) from a larger longitudinal study of familial alcoholism. Hypotheses were tested with latent growth models characterizing alcohol consumption and drinking consequence trajectories from late adolescence to adulthood (age 17-40). Past findings were replicated by showing protective effects of becoming married, sensation-seeking reductions, and neuroticism reductions on the drinking trajectories. Moderation tests showed that protective marriage effects on the drinking trajectories were stronger among those with higher pre-marriage drinking in late adolescence (i.e., higher growth intercepts). This might reflect role socialization mechanisms such that more severe drinking produces more conflict with the demands of new roles (i.e., role incompatibility), thus requiring greater drinking reductions to resolve this conflict. In contrast, little evidence was found for moderation of personality effects by late adolescent drinking or for moderation of marriage effects by personality. Parental alcoholism findings suggested complex moderated mediation pathways. Parental alcoholism predicted less drinking reduction through decreasing the likelihood of marriage (mediation) and muting marriage's effect on the drinking trajectories (moderation), but parental alcoholism also predicted more drinking reduction through increasing initial drinking in late adolescence (mediation). The current study provides new insights into naturally occurring processes of recovery during young adulthood and suggests that developmentally-tailored interventions for young adults could harness these natural recovery processes (e.g., by integrating role incompatibility themes and addressing factors that block role effects among those with familial alcoholism).
ContributorsLee, Matthew R. (Author) / Chassin, Laurie (Thesis advisor) / Corbin, William R. (Committee member) / Mackinnon, David P (Committee member) / Presson, Clark C. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Including a covariate can increase power to detect an effect between two variables. Although previous research has studied power in mediation models, the extent to which the inclusion of a mediator will increase the power to detect a relation between two variables has not been investigated. The first study identified situations where empirical and analytical power of two tests of significance for a single mediator model was greater than power of a bivariate significance test. Results from the first study indicated that including a mediator increased statistical power in small samples with large effects and in large samples with small effects. Next, a study was conducted to assess when power was greater for a significance test for a two mediator model as compared with power of a bivariate significance test. Results indicated that including two mediators increased power in small samples when both specific mediated effects were large and in large samples when both specific mediated effects were small. Implications of the results and directions for future research are then discussed.
ContributorsO'Rourke, Holly Patricia (Author) / Mackinnon, David P (Thesis advisor) / Enders, Craig K. (Committee member) / Millsap, Roger (Committee member) / Arizona State University (Publisher)
Created2013
Description
The development of self-regulation is believed to play a crucial role in predicting later psychopathology and is believed to begin in early childhood. The early postpartum period is particularly important in laying the groundwork for later self-regulation as infants' dispositional traits interact with caregivers' co-regulatory behaviors to produce the earliest forms of self-regulation. Moreover, although emerging literature suggests that infants' exposure to maternal stress even before birth may be integral in determining children's self-regulatory capacities, the complex pathways that characterize these developmental processes remain unclear. The current study considers the complex, transactional processes in a high-risk, Mexican American sample. Data were collected from 305 Mexican American infants and their mothers during prenatal, 6- and 12-week home interviews. Mother self-reports of stress were obtained prenatally between 34-37 weeks gestation. Mother reports of infant temperamental negativity and surgency were obtained at 6-weeks as were observed global ratings of maternal sensitivity during a structured peek-a-boo task. Microcoded ratings of infants' engagement orienting and self-comforting behaviors were obtained during the 12-week peek-a-boo task. Study findings suggest that self-comforting and orienting behaviors help to modulate infants' experiences of distress, and also that prenatal stress influences infants' engagement in each of those regulatory behaviors, both directly by influence tendencies to engage in orienting behaviors and indirectly by programming higher levels of infant negativity and surgency, both of which may confer risk for later regulatory disadvantage. Advancing our understandings about the nature of these developmental pathways could have significant implications for targets of early intervention in this high-risk population.
ContributorsLin, Betty (Author) / Crnic, Keith A (Thesis advisor) / Lemery-Chalfant, Kathryn S (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2013
Description
Random Forests is a statistical learning method which has been proposed for propensity score estimation models that involve complex interactions, nonlinear relationships, or both of the covariates. In this dissertation I conducted a simulation study to examine the effects of three Random Forests model specifications in propensity score analysis. The results suggested that, depending on the nature of data, optimal specification of (1) decision rules to select the covariate and its split value in a Classification Tree, (2) the number of covariates randomly sampled for selection, and (3) methods of estimating Random Forests propensity scores could potentially produce an unbiased average treatment effect estimate after propensity scores weighting by the odds adjustment. Compared to the logistic regression estimation model using the true propensity score model, Random Forests had an additional advantage in producing unbiased estimated standard error and correct statistical inference of the average treatment effect. The relationship between the balance on the covariates' means and the bias of average treatment effect estimate was examined both within and between conditions of the simulation. Within conditions, across repeated samples there was no noticeable correlation between the covariates' mean differences and the magnitude of bias of average treatment effect estimate for the covariates that were imbalanced before adjustment. Between conditions, small mean differences of covariates after propensity score adjustment were not sensitive enough to identify the optimal Random Forests model specification for propensity score analysis.
ContributorsCham, Hei Ning (Author) / Tein, Jenn-Yun (Thesis advisor) / Enders, Stephen G (Thesis advisor) / Enders, Craig K. (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2013
Description
Fibromyalgia (FM) is a chronic pain condition characterized by debilitating fatigue. This study examined the dynamic relation between interpersonal enjoyment and fatigue in 102 partnered and 74 unpartnered women with FM. Participants provided three daily ratings for 21 days. They rated their fatigue in late morning and at the end of the day. Both partnered and unpartnered participants reported their interpersonal enjoyment in the combined familial, friendship, and work domains (COMBINED domain) in the afternoon. Additionally, partnered participants reported their interpersonal enjoyment in the spousal domain. The study was guided by three hypotheses at the within-person level, based on daily diaries: (1) elevated late morning fatigue would predict diminished afternoon interpersonal enjoyment; (2) diminished interpersonal enjoyment would predict elevated end-of-day fatigue; (3) interpersonal enjoyment would mediate the late morning to end-of-day fatigue relationship. In cross-level models, the study explored whether individual differences (between-person) in late morning fatigue and afternoon interpersonal enjoyment would moderate within-person relations from late morning fatigue to afternoon interpersonal enjoyment, and from afternoon interpersonal enjoyment to end-of-day fatigue. Furthermore, it explored whether the hypothesized relationships at the within-person level would also emerge at the between-person level (between-person mediation models). Multilevel structural equation modeling and multilevel modeling were employed for model testing, separately for partnered and unpartnered participants. Within-person mediation models supported that on high fatigue mornings, afternoon interpersonal enjoyment was dampened in the spousal and combined domains in partnered and unpartnered samples. Moreover, low afternoon interpersonal enjoyment in both the spousal and combined domains predicted elevated end-of-day fatigue. Afternoon interpersonal enjoyment mediated the relationship of late morning to end-of-day fatigue in the combined domain but in not the spousal domain. Cross-level moderation analyses showed that individual differences in afternoon spousal enjoyment moderated the day-to-day relation between afternoon spousal enjoyment and end-of-day fatigue. Finally, the mediational chain was not observed at the between-person level. These findings suggest that preserving interpersonal enjoyment in non-spousal relations limits within-day increases in FM fatigue. They highlight the importance of examining domain-specificity in interpersonal enjoyment when studying fatigue, and suggest that targeting enjoyment in social relations may improve the efficacy of existing treatments.
ContributorsYeung, Wan (Author) / Aiken, Leona S. (Thesis advisor) / Davis, Mary C. (Thesis advisor) / Mackinnon, David P (Committee member) / Zautra, Alex J (Committee member) / Arizona State University (Publisher)
Created2013
Description
Coarsely grouped counts or frequencies are commonly used in the behavioral sciences. Grouped count and grouped frequency (GCGF) that are used as outcome variables often violate the assumptions of linear regression as well as models designed for categorical outcomes; there is no analytic model that is designed specifically to accommodate GCGF outcomes. The purpose of this dissertation was to compare the statistical performance of four regression models (linear regression, Poisson regression, ordinal logistic regression, and beta regression) that can be used when the outcome is a GCGF variable. A simulation study was used to determine the power, type I error, and confidence interval (CI) coverage rates for these models under different conditions. Mean structure, variance structure, effect size, continuous or binary predictor, and sample size were included in the factorial design. Mean structures reflected either a linear relationship or an exponential relationship between the predictor and the outcome. Variance structures reflected homoscedastic (as in linear regression), heteroscedastic (monotonically increasing) or heteroscedastic (increasing then decreasing) variance. Small to medium, large, and very large effect sizes were examined. Sample sizes were 100, 200, 500, and 1000. Results of the simulation study showed that ordinal logistic regression produced type I error, statistical power, and CI coverage rates that were consistently within acceptable limits. Linear regression produced type I error and statistical power that were within acceptable limits, but CI coverage was too low for several conditions important to the analysis of counts and frequencies. Poisson regression and beta regression displayed inflated type I error, low statistical power, and low CI coverage rates for nearly all conditions. All models produced unbiased estimates of the regression coefficient. Based on the statistical performance of the four models, ordinal logistic regression seems to be the preferred method for analyzing GCGF outcomes. Linear regression also performed well, but CI coverage was too low for conditions with an exponential mean structure and/or heteroscedastic variance. Some aspects of model prediction, such as model fit, were not assessed here; more research is necessary to determine which statistical model best captures the unique properties of GCGF outcomes.
ContributorsCoxe, Stefany (Author) / Aiken, Leona S. (Thesis advisor) / West, Stephen G. (Thesis advisor) / Mackinnon, David P (Committee member) / Reiser, Mark R. (Committee member) / Arizona State University (Publisher)
Created2012
Description
Being able to self-regulate has been found to be an important part of a person’s physiological and psychological health. It allows someone to regulate their emotions well in trying to obtain a goal, or in realizing a goal is unobtainable and re-evaluating the situation to form an obtainable goal (Rasmussen, Wrosch, Scheier & Carver, 2006). Self-regulation can be measured in many ways, but a physiological measure of self-regulation is heart rate variability (HRV). HRV monitors the body’s response to emotional stressors through measuring how variable a person’s heartbeat is (Appelhans & Luecken, 2006). A second potential factor contributing to self-regulation is social closeness. Research has also shown that the more social closeness a person experiences, the better able they are to regulate their emotions (Kok & Fredrickson, 2010; Kok et al., 2013). Social closeness is assessed via self-reports. There is a difference between partners’ and self-reports, such that the partners tend to be more positive when asked about the participants through questionnaires (Vuorisalmi, Sarkeala, Hervonen & Jylhä, 2012). When examining the relationship between reports of spouses, research has shown that the husbands are worse at reliably reporting their wives’ behaviors, but are more reliable when reporting on personal situations between the couple than is the wife (Khawaja & Tewtel-Salem, 2004). To date we know that a higher HRV is associated with better self-regulation and that social closeness leads to better emotional regulation; however, we do not know if HRV and social closeness combine to predict better functionality or if it matters if the husbands or wives are filling out the self-reports on social closeness. This study investigated four hypotheses regarding the relations between HRV and social relations between partners and how the social or emotional functioning of female fibromyalgia (FM) patients. The first hypothesis is that when the FM patient feels disregard from her partner, she is more likely to exhibit a decline in her social functioning, and that this decline is less pronounced in high HRV. The second hypothesis is that if a FM patient feels disregarded by her partner, her emotional functioning will become inhibited; furthermore, that this relationship is moderated by her HRV. The third hypothesis is that when her partner feels he disregards her, her social functioning is impaired, and that this relationship is moderated by her HRV. The last hypothesis is that when her partner feels he disregards her, her emotional functioning declines, and that this relationship is moderated by HRV. The FM patient’s HRV was measured in a laboratory setting, and the partner disregard was measured by a partner survey that was administered to both the FM patient and her partner. Through the analysis of all of the results, none of the four hypotheses had significant results showing that none of them were supported by this experiment.
ContributorsKillion, Jordan Ann (Author) / Davis, Mary (Thesis director) / Yeung, Wan (Committee member) / Zautra, Alex (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2014-05
Description
Childhood trauma has been linked to an increased risk of chronic pain in adulthood. One potential mechanism is via childhood trauma's impact on the hypothalamic-pituitary-adrenal axis (HPA) response to stress, reflected in changes in salivary cortisol levels (Nicolson et al., 2010). This study sought to determine the relations between childhood trauma, increases in cortisol levels following induced pain, and pain perceptions in adults with fibromyalgia, a chronic pain condition. It drew on data collected from participants enrolled in an investigation comparing the effectiveness of behavioral treatments for chronic pain. Before receiving treatment, participants attended a laboratory session during which they first rested, and then were exposed to heat stimuli to assess pain threshold and tolerance. Saliva samples were collected from each participant immediately following the rest, and twice during pain induction. Fibromyalgia participants with a history of childhood trauma were expected: 1) to report lower pain threshold and tolerance levels (i.e., have higher pain sensitivity), 2) to exhibit a higher resting cortisol level, and 3) to have greater increases in cortisol in response to acute pain induction than fibromyalgia participants without a history of childhood trauma. Findings showed that childhood trauma scores were: 1) related to lower pain tolerance (but not pain threshold), 2) unrelated to resting cortisol levels, and 3) unrelated to changes in cortisol in response to pain induction and pain tolerance, contrary to prediction. However, a subtype of childhood trauma, i.e., emotional maltreatment: 1) predicted lower pain tolerance, and 2) moderated the cortisol changes over time in response to pain induction during the laboratory session in the expected direction. That is, individuals who reported higher levels of childhood emotional maltreatment showed greater cortisol responses to the pain induction than individuals who reported lower levels of exposure to emotional maltreatment. Cortisol responses did not relate to pain perception. Thus, childhood emotional trauma predicted greater pain sensitivity and cortisol reactivity, but cortisol did not relate to pain perception. The findings suggest that early childhood trauma predicts cortisol reactivity and pain sensitivity, but that cortisol reactivity is not a mediator in the trauma-pain relation.
ContributorsCiaramitaro, Marissa Catherine (Author) / Davis, Mary (Thesis director) / Glenberg, Arthur (Committee member) / Doane, Leah (Committee member) / Yeung, Wan (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2013-12
Description
Both attentional focus and creativity have been shown to differ depending on the emotional state one is experiencing. We hypothesize that different positive emotions, in this case amusement, enthusiasm and awe, induce characteristically different breadths of attentional focus that are reflective of their respective evolutionary functions and levels of approach motivation. Ultimately we predict that high-approach motivations such as enthusiasm will result in attentional localization and an overall decrease in creativity, whereas low-approach motivations, such as amusement and awe, will result in attentional globalization and overall increased levels of creativity. In this study 105 participants read an emotion inducing story, followed by a globalization attentional focus test, the Alternate Uses Task test for creativity, and an emotion manipulation check. A 1-way ANOVA followed by several t-tests were completed to compare the effects of the different emotion conditions as a whole, and then individually against one another. The experiment was statistically underpowered, and as such there were no significant differences found either for overall emotional affects or those between emotions. However, the patterns suggested by the results of the analyses were not expected and creativity measures differed strongly from predicted results. Data collection is ongoing, and in the future problems with study underpowerment will likely be amended.
ContributorsRicker, Katherine (Author) / Shiota, Michelle (Thesis director) / Yeung, Wan (Committee member) / Kenrick, Douglas (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2011-05