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

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 2012 Loyola University Chicago

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 …


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

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 2012 Old Dominion University

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 …


A Study Of Birth Weight As A Predictor Of Cognitive Ability In Childhood : Applications Of Loess Regression And Generalized Propensity Score Methods, Xiaoyuan Tan 2012 University at Albany, State University of New York

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.


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

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 2011 Utah Valley University

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 2011 The Pennsylvania State University

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 2011 University of Heidelberg, Germany

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 = …


Daily Stock Market Movement From Oscillating Social Mood Factors, Cari Bourette 2011 Western Kentucky University

Daily Stock Market Movement From Oscillating Social Mood Factors, Cari Bourette

Cari Bourette

Since 2006, there has been ongoing research into the correlation of a set of oscillating mood factors and socioeconomic, geopolitical, and natural events with the goal of forecasting increased risks of destabilizing events. While promising results have been forthcoming, it has been difficult to present models that allowed those outside a small circle of specialists to participate. Between July 2007 and June 2010, weekly social mood projections, as published in monthly issues of MoodCompass, were used to develop a model to convert four oscillating mood factors into stock market expectations. This model was modified to generate signals of projected stock …


The Role Of Metrical Structure In Tonal Knowledge Acquisition, Matthew Rosenthal 2011 University of Nevada, Las Vegas

The Role Of Metrical Structure In Tonal Knowledge Acquisition, Matthew Rosenthal

UNLV Theses, Dissertations, Professional Papers, and Capstones

Experienced listeners possess a working knowledge of pitch structure in Western music, such as scale, key, harmony, and tonality, which develops gradually throughout childhood. It is commonly assumed that tonal representations are acquired through exposure to the statistics of music, but few studies have investigated potential learning mechanisms directly. In Western tonal music, tonally stable pitches not only have a higher overall frequency of occurrence, but they may occur more frequently at strong than weak metrical positions, providing two potential avenues for tonal learning. Two experiments employed an artificial grammar learning paradigm to examine tonal learning mechanisms. During a familiarization …


Development Of A Cohesion Inventory For Children's Sport Teams, Luc J. Martin 2011 The University of Western Ontario

Development Of A Cohesion Inventory For Children's Sport Teams, Luc J. Martin

Electronic Thesis and Dissertation Repository

The general purpose of this dissertation was to develop an inventory designed to measure cohesion in children’s (ages 9-12) sport teams. To this end, three studies were conducted. In Study 1, children became active agents in the process of test construction. More specifically, children (N = 167) participated in focus groups and completed open-ended questionnaires in order to provide information on their perceptions of cohesion as well as motives for participating, continuing, and ceasing involvement on sport teams. Study 2 involved the use of the information obtained from Study 1 to develop potential items for the questionnaire. In addition, the …


Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger 2011 Wright State University - Main Campus

Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger

Joseph W. Houpt

No abstract provided.


Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger 2011 Wright State University - Main Campus

Configuration As A Source Of Information, Joseph W. Houpt, Robert D. Hawkins, Ami Eidels, James T. Townsend, Michael J. Wenger

Psychology Faculty Publications

No abstract provided.


Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger 2011 Wright State University - Main Campus

Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger

Joseph W. Houpt

No abstract provided.


Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger 2011 Wright State University - Main Campus

Fundamental Properties Of Simple Emergent Feature Processing, Robert D. Hawkins, Joseph W. Houpt, Ami Eidels, James T. Townsend, Michael J. Wenger

Psychology Faculty Publications

No abstract provided.


A Reliability Generalization Of The Overexcitability Questionnaire-Two (Oeqii), Russell Warne 2011 Utah Valley University

A Reliability Generalization Of The Overexcitability Questionnaire-Two (Oeqii), Russell Warne

Russell T Warne

Reliability generalization (RG) is a meta-analysis that combines and synthesizes reliability coefficients from different studies to ascertain the average observed reliability across studies. An RG study was conducted on previously reported data from 16 samples of the Overexcitability Questionnaire–Two (OEQII) with a combined N of 5,275. Cronbach’s alpha was found to be consistently higher on all OEQII subscales when scale variance was high and the sample consisted of adults. Sample size, gender composition of the sample, number of items from the subscale used, and location of sample (United States or a different county) had varying effects on observed alpha levels …


Pathological Personality Traits Among Patients With Absent, Current, And Remitted Substance Use Disorders, Christopher J. Hopwood, Leslie C. Morey, Andrew E. Skodol, Charles A. Sanislow, Carlos M. Grilo, Emily B. Ansell, Thomas H. McGlashan, John C. Markowitz, Anthony Pinto, Shirley Yen, M. Tracie Shea, John G. Gunderson, Mary C. Zanarini, Robert L. Stout 2011 Michigan State University

Pathological Personality Traits Among Patients With Absent, Current, And Remitted Substance Use Disorders, Christopher J. Hopwood, Leslie C. Morey, Andrew E. Skodol, Charles A. Sanislow, Carlos M. Grilo, Emily B. Ansell, Thomas H. Mcglashan, John C. Markowitz, Anthony Pinto, Shirley Yen, M. Tracie Shea, John G. Gunderson, Mary C. Zanarini, Robert L. Stout

Charles A. Sanislow, Ph.D.

Personality traits may provide underlying risk factors for and/or sequelae to substance use disorders (SUDs). In this study Schedule for Nonadaptive and Adaptive Personality (SNAP) traits were compared in a clinical sample (N=704, age 18–45) with current, past, or no historical alcohol or non-alcohol substance use disorders (AUD and NASUD) as assessed by DSM-IV semi-structured interview. Results corroborated previous research in showing associations of negative temperament and disinhibition to SUD, highlighting the importance of these traits for indicating substance use proclivity or the chronic effects of substance use. Certain traits (manipulativeness, self-harm, disinhibition, and impulsivity for AUD, and disinhibition and …


Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne 2011 Utah Valley University

Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne

Russell T Warne

Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated independent variables. Commonality analysis—heretofore rarely used in gifted education research—is a statistical method that partitions the explained variance of a dependent variable into nonoverlapping parts according to the independent variable(s) that are related to each portion. This Methodological Brief includes an example of commonality analysis and equations for researchers who wish to conduct their …


An Investigation Of Measurement Invariance Across Genders On The Overexcitability Questionnaire-Two (Oeqii), Russell Warne 2011 Utah Valley University

An Investigation Of Measurement Invariance Across Genders On The Overexcitability Questionnaire-Two (Oeqii), Russell Warne

Russell T Warne

The Overexcitability Questionnaire–Two (OEQII) is a quantitative instrument for assessing overexcitabilities as they are described in Dabrowski’s theory of positive disintegration. This article uses multigroup confirmatory factor analysis to examine the measurement invariance of OEQII scores across genders. Results indicate that raw OEQII scores cannot be compared across genders. Caution should be used in interpreting OEQII scores.


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