+publisher:"University of Texas – Austin" +contributor:("Beretvas, Tasha")

University of Texas – Austin

1. Stafford, Rose Eleanore. The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models.

Degree: PhD, Educational Psychology, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/2998

► Latent profile analysis (LPA) and factor mixture modeling (FMM) are frequently used approaches to detecting latent classes, which compare several models that differ in the… (more)

▼ Latent profile analysis (LPA) and factor mixture modeling (FMM) are frequently used approaches to detecting latent classes, which compare several models that differ in the number of classes estimated. Numerous enumeration criteria are used to aid in this decision-making process, but research concerning their performance has focused on their ability to select the true model when all estimated models being compared have a correctly specified model structure (Henson et al., 2007; Lubke & Muthén, 2007; Nylund et al., 2007; Peugh & Fan, 2013). Previous research (Bauer & Curran, 2004; Lubke and Neale, 2006) has demonstrated that overestimating class number is likely when data that is partly explained by a continuous latent factor in the population (e.g., FMM) is only fit to LPA models. However, no research has determined whether such an enumeration bias is present when LPA data are fit to models that include a continuous latent factor in addition to the categorical class factor (i.e., FMM). This simulation study was designed to assess the impact of misspecifications of the within-class factor structure on the accuracy of FMM and LPA in identifying the true number of classes present in the data. Enumeration accuracy under FMM and LPA estimation was compared across several enumeration indices, including information criteria (AIC, AICc, BIC, and nBIC), classification-based indices (entropy and ICL-BIC), and enumeration-specific LRTs (LMR, aLMR, and BLRT). Data were generated according to each mixture model structure, varying across two levels of true class number (K), class separation (MD), class mixing proportions (π), and sample size (N). Each dataset was fit to both FMM and LPA models that had a correct within-class model specification, as well as FMM and LPA models with a misspecified within-class factor structure due to either mistakenly omitting or including a continuous latent factor. The results of this study suggest that enumeration is more greatly affected in LPA than in FMM when the within-class model is misspecified. LPA estimation produced lower enumeration accuracy rates than FMM estimation, regardless of whether the data’s true structure was FMM or LPA. Information criteria, particularly the nBIC, were the most likely to correctly identify K classes, though FMM estimation was generally necessary to achieve high enumeration accuracy (i.e., > 95%). The LRTs were sensitive to within-class model misspecifications and the classification-based indices had low enumeration accuracy across conditions. Advisors/Committee Members: Whittaker, Tiffany (advisor), Beretvas, Tasha (committee member), Pituch, Keenan (committee member), Hixon, John G (committee member).

Subjects/Keywords: Latent variable mixture modeling; Factor mixture modeling; Latent profile analysis; Enumeration; Latent classes

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APA (6^th Edition):

Stafford, R. E. (2019). The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2998

Chicago Manual of Style (16^th Edition):

Stafford, Rose Eleanore. “The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed December 13, 2019. http://dx.doi.org/10.26153/tsw/2998.

MLA Handbook (7^th Edition):

Stafford, Rose Eleanore. “The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models.” 2019. Web. 13 Dec 2019.

Vancouver:

Stafford RE. The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2019 Dec 13]. Available from: http://dx.doi.org/10.26153/tsw/2998.

Council of Science Editors:

Stafford RE. The relative impact of within-class model misspecifications on enumeration accuracy in latent profile and factor mixture models. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2998

University of Texas – Austin

2. Faulk, Kathryn Elizabeth. Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives.

Degree: PhD, Health Education, 2013, University of Texas – Austin

URL: http://hdl.handle.net/2152/30479

► Research suggests that the deployment cycle is associated with decreased psychological well-being in military spouses, yet not all individuals married to military service members experience… (more)

▼ Research suggests that the deployment cycle is associated with decreased psychological well-being in military spouses, yet not all individuals married to military service members experience psychopathology. It may be that spouses who do not experience reduced well-being possess personal resources, such as positive emotions, that protect them against the stresses of military life. The primary purpose of this dissertation was to determine the effect of deployment on the well-being of military spouses and examine whether personal resources protected military spouses and enhanced their wellbeing throughout the deployment cycle. A synthesis of the existing literature was performed in order to determine the direction and magnitude of the effect of deployment on the psychological well-being of military spouses. For the primary analyses, participants were drawn from a convenience sample of military spouses stationed at Fort Hood, Texas. Meta-analysis, hierarchical linear regression, and structural equation modeling were used to test study hypotheses. In the first study, a meta-analytic review, deployment was found to have a moderate effect on psychological well-being, such that spouses experienced greater psychological problems during deployment. Two studies were conducted as part of the primary analyses. In the first, positivity was found to moderate the relationship between stress and depressive symptoms during deployment. Specifically, the relationship between stress and depressive symptoms was stronger for spouses with low levels of positivity. Finally, the third study found that adaptive coping, maladaptive coping, and resilience completely mediated the relationship between positive emotions and depressive symptoms. Of the three mediators, adaptive coping was found to be the most influential. Together, the results of these three studies illuminate the detrimental effect of deployment on the psychological well-being of military spouses, while providing support for the broaden-and-build theory's proposed roles of positive emotions – broadening, building, and undoing – in a unique population. Study limitations, implications for military spouses, and suggestions for future directions in research are discussed. Advisors/Committee Members: Steinhardt, Mary (advisor), Bartholomew, John B (committee member), Beretvas, Tasha (committee member), Cance, Jessica D (committee member), Patall, Erika A (committee member).

Subjects/Keywords: Military spouses; Deployment; Positive emotions; Psychological well-being

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Faulk, K. E. (2013). Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30479

Chicago Manual of Style (16^th Edition):

Faulk, Kathryn Elizabeth. “Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed December 13, 2019. http://hdl.handle.net/2152/30479.

MLA Handbook (7^th Edition):

Faulk, Kathryn Elizabeth. “Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives.” 2013. Web. 13 Dec 2019.

Vancouver:

Faulk KE. Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2152/30479.

Council of Science Editors:

Faulk KE. Military spouses and the deployment cycle : exploring the well-being, protective factors, and personal resources of waiting wives. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/30479

University of Texas – Austin

3. -0606-4358. The effect of school closures on student achievement : evidence from Houston.

Degree: PhD, Educational Leadership and Policy, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/63358

► School closures are an increasingly common reform strategy for districts facing declining enrollments and low academic performance. In this study, I examine the impact of… (more)

Subjects/Keywords: School closures; Mobility; Student achievement; Inequality

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APA (6^th Edition):

-0606-4358. (2017). The effect of school closures on student achievement : evidence from Houston. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63358

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-0606-4358. “The effect of school closures on student achievement : evidence from Houston.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed December 13, 2019. http://hdl.handle.net/2152/63358.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-0606-4358. “The effect of school closures on student achievement : evidence from Houston.” 2017. Web. 13 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0606-4358. The effect of school closures on student achievement : evidence from Houston. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2019 Dec 13]. Available from: http://hdl.handle.net/2152/63358.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-0606-4358. The effect of school closures on student achievement : evidence from Houston. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63358

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

University of Texas – Austin

4. -6383-2603. Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care.

Degree: PhD, Pharmaceutical Sciences, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/1392

► Study 1 aimed to compare efavirenz with protease inhibitors (PIs) and determine whether Black race modifies treatment effect. Meta-analysis (N=15) showed that patients (≥13 years)… (more)

▼ Study 1 aimed to compare efavirenz with protease inhibitors (PIs) and determine whether Black race modifies treatment effect. Meta-analysis (N=15) showed that patients (≥13 years) receiving efavirenz-based regimens had 37% higher odds of virological suppression compared to PI-based regimens (OR=1.37, 95% CI=1.06-1.77, p=0.02). Meta-regression (N=8) showed that Black race was not a significant moderator of treatment effect (Coefficient=0.026, SE=0.009, p>0.01). Egger test suggested the presence of publication bias (B=0.927, t=2.214, p=0.033). The main threat to evidence quality was attrition bias. In conclusion, efavirenz performed better than PIs regarding virological suppression. Study 2 assessed which HIV care quality indicators (QIs) were associated with improved health outcomes. Texas Medicaid prescription and medical service claims (01/01/2012-12/31/2016) were analyzed over a two-and-half year period with a 6-month baseline period, a 1-year index period, and a follow-up period of up to one year. Included patients: 1) had at least two HIV-related medical claims between 07/31/2012-08/31/2014 (index date=date of first claim), 2) were between 18 and 62 years at index, and 3) were continuously enrolled. Dependent variables included ER visits, inpatient hospitalization, number of prescription claims, and all-cause healthcare costs. Independent variables included CD4 count monitoring, syphilis screening, chlamydia screening, gonorrhea screening, hepatitis B screening, hepatitis C screening, tuberculosis screening, influenza vaccination, pneumococcal vaccination, retention in care, and HAART initiation. Covariates included age, chronic HCV infection, AIDS diagnosis, gender, and baseline cost. Generalized linear modeling showed that: all QIs except gonorrhea screening, influenza vaccination, pneumococcal vaccination, and retention were associated with reduced rates of ER visits (p<0.0001); all QIs except retention in care were associated with reduced inpatient hospitalization (p<0.0001); all QIs were associated with increased number of prescription claims (p<0.0001); and all QIs except CD4 count monitoring, tuberculosis screening, and retention in care had no association with healthcare costs (p>0.0001). Structural equation modeling showed that the highest QI factor loadings were CD4 count monitoring (0.843) and HAART initiation (0.731). In conclusion, processes of quality HIV care as defined by QIs are associated with reduced morbidity. CD4 count monitoring and HAART initiation were the strongest indicators of quality of HIV care. Advisors/Committee Members: Barner, Jamie C. (advisor), Ford, Kentya C. (advisor), Wilson, James P (committee member), Lawson, Kenneth A (committee member), Barnes, Nile J (committee member), Beretvas, Tasha (committee member).

Subjects/Keywords: HIV; Health disparities

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

-6383-2603. (2019). Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1392

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16^th Edition):

-6383-2603. “Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed December 13, 2019. http://dx.doi.org/10.26153/tsw/1392.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7^th Edition):

-6383-2603. “Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care.” 2019. Web. 13 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6383-2603. Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2019 Dec 13]. Available from: http://dx.doi.org/10.26153/tsw/1392.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6383-2603. Reducing health disparities among Blacks with HIV : a focus on drug treatment and quality of care. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1392

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

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