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Quantitative Psychology Commons

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2012

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Articles 31 - 39 of 39

Full-Text Articles in Quantitative Psychology

A Factor-Analytic Study Of The Learning And Study Strategies Inventory, Second Edition (Lassi-2) In A Sample Of University Students, Kwoneathia Hill Jan 2012

A Factor-Analytic Study Of The Learning And Study Strategies Inventory, Second Edition (Lassi-2) In A Sample Of University Students, Kwoneathia Hill

Electronic Theses and Dissertations

The present study sought to provide a better understanding of the factor structure of the Learning and Study Strategies Inventory, Second Edition (LASSI-2) at the item to scale level (via confirmatory factor analysis) and to expand the LASSI-2's psychometric properties (i.e., means, standard deviations, alpha coefficients, and correlations of the LASSI-2's scale scores) as well as examine for potential sex differences in the LASSI-2 scale scores (via t tests with Cohen's d also being calculated) with a sample of 420 university students. The means, standard deviations, and alpha coefficients of the 10 LASSI-2 scales for the current data appeared comparable …


Using Robust Standard Errors To Combine Multiple Regression Estimates With Meta-Analysis, Ryan T. Williams Jan 2012

Using Robust Standard Errors To Combine Multiple Regression Estimates With Meta-Analysis, Ryan T. Williams

Dissertations

Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use of robust variance estimation for combining commonly specified multiple regression models and for combining sample-dependent focal slope estimates from diversely specified models. A series of Monte-Carlo simulations were conducted to investigate the performance of a robust variance estimator for each of these approaches. Key meta-analytic parameters were varied throughout …


A Study Of Birth Weight As A Predictor Of Cognitive Ability In Childhood : Applications Of Loess Regression And Generalized Propensity Score Methods, Xiaoyuan Tan Jan 2012

A Study Of Birth Weight As A Predictor Of Cognitive Ability In Childhood : Applications Of Loess Regression And Generalized Propensity Score Methods, Xiaoyuan Tan

Legacy Theses & Dissertations (2009 - 2024)

This study applied nonparametric loess regression to describe the predictive association between birth weight and cognitive ability in childhood and generalized propensity score methods to control the confounding of multiple covariates that summarize prenatal differences.


Internal Consistency Of The Self-Perception Profile For Children: Using Covariance Structure Modeling To Overcome The Limitations Of Cronbach's Α, Ian Cero Jan 2012

Internal Consistency Of The Self-Perception Profile For Children: Using Covariance Structure Modeling To Overcome The Limitations Of Cronbach's Α, Ian Cero

All Graduate Theses, Dissertations, and Other Capstone Projects

Self-perception is linked to a variety of psychosocial outcomes and its measurement has become a priority across a several disciplines. The Self-Perception Profile for Children (SPP-C) is commonly utilized to measure both global self worth and several important sub-domains of self-perception. Although much research has suggested this instrument possesses good internal consistency, previous investigations have primarily employed Cronbach's α; to estimate the stability of responding across items. This represents an important limitation, as α; is vulnerable to mis-estimation in the presence of correlated errors and non-τ-equivalent indicators, neither of which have been ruled out for the SPP-C. The present investigation …


Using The Counseling Center Assessment Of Psychological Symptoms - 34 (Ccaps-34) To Predict Premature Termination In A College Counseling Sample, Sean B. Hall Jan 2012

Using The Counseling Center Assessment Of Psychological Symptoms - 34 (Ccaps-34) To Predict Premature Termination In A College Counseling Sample, Sean B. Hall

Counseling & Human Services Theses & Dissertations

Swift and Greenberg (2012) observed that variables influencing the decision to drop out fluctuate according to the primary presenting problem, the amount of structure in therapy, the length of treatment, and the clinical setting. Due to these reports, researchers may focus on predictors of premature termination (PT) in treatment settings where the unique situational characteristics may have an idiosyncratic influence on the decision to withdraw from services (Phillips, 1985; Swift & Greenberg, 2012). The purpose of this exploratory study was to examine client characteristics that impact dropout in University Based Clinics (UBC). Results from the logistic regression analysis indicated higher …


Governance-Default Risk Relationship And The Demand For Intermediated And Non-Intermediated Debt, Safdar Khan Dec 2011

Governance-Default Risk Relationship And The Demand For Intermediated And Non-Intermediated Debt, Safdar Khan

Safdar Khan

No abstract provided.


An Introduction To Item Response Theory For Health Behavior Researchers, Russell Warne Dec 2011

An Introduction To Item Response Theory For Health Behavior Researchers, Russell Warne

Russell T Warne

OBJECTIVE:

To introduce item response theory (IRT) to health behavior researchers by contrasting it with classical test theory and providing an example of IRT in health behavior.

METHOD:

Demonstrate IRT by fitting the 2PL model to substance-use survey data from the Adolescent Health Risk Behavior questionnaire (n=1343 adolescents).

RESULTS:

An IRT 2PL model can produce viable substance use scores that differentiate different levels of substance use, resulting in improved precision and specificity at the respondent level.

CONCLUSION:

IRT is a viable option for health researchers who want to produce high-quality scores for unidimensional constructs. The results from our example-although not …


Interpersonal Pathoplasticity In The Course Of Major Depression, Nicole M. Cain, Emily B. Ansell, Aidan G. C. Wright, Christopher J. Hopwood, Katherine M. Thomas, Anthony Pinto, John C. Markowitz, Charles A. Sanislow, Mary C. Zanarini, M. Tracie Shea, Leslie C. Morey, Thomas H. Mcglashan, Andrew E. Skodol, Carlos M. Grilo Dec 2011

Interpersonal Pathoplasticity In The Course Of Major Depression, Nicole M. Cain, Emily B. Ansell, Aidan G. C. Wright, Christopher J. Hopwood, Katherine M. Thomas, Anthony Pinto, John C. Markowitz, Charles A. Sanislow, Mary C. Zanarini, M. Tracie Shea, Leslie C. Morey, Thomas H. Mcglashan, Andrew E. Skodol, Carlos M. Grilo

Charles A. Sanislow, Ph.D.

Objective: The identification of reliable predictors of course in major depressive disorder (MDD) has been difficult. Evidence suggests that the co-occurrence of personality pathology is associated with longer time to MDD remission. Interpersonal pathoplasticity, the mutually influencing nonetiological relationship between psychopathology and interpersonal traits, offers an avenue for examining specific personality vulnerabilities that may be associated with depressive course. Method: This study examined 312 participants with and without a cooccurring personality disorder diagnosis who met criteria for a current MDD episode at baseline and who were followed for 10 years in the Collaborative Longitudinal Personality Disorders Study. Results: Latent profile …


Dynamic Problem Solving: A New Assessment Perspective, Samuel Greiff, Sascha Wüstenberg, Joachim Funke Dec 2011

Dynamic Problem Solving: A New Assessment Perspective, Samuel Greiff, Sascha Wüstenberg, Joachim Funke

Joachim Funke

This article addresses two unsolved measurement issues in dynamic problem solving (DPS) research: (a) unsystematic construction of DPS tests making a comparison of results obtained in different studies difficult and (b) use of time-intensive single tasks leading to severe reliability problems. To solve these issues, the MicroDYN approach is presented, which combines (a) the formal framework of linear structural equation models as a systematic way to construct tasks with (b) multiple and independent tasks to increase reliability. Results indicated that the assumed measurement model that comprised three dimensions, information retrieval, model building, and forecasting, fitted the data well (n = …