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Articles 1 - 9 of 9
Full-Text Articles in Quantitative Psychology
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Statistical Methods Used In Gifted Education Journals, 2006-2010, Russell Warne, Maria Lazo, Tami Ramos, Nicola Ritter
Russell T Warne
This article describes the statistical methods used in quantitative and mixed methods articles between 2006 and 2010 in five gifted education research journals. Results indicate that the most commonly used statistical methods are means (85.9% of articles), standard deviations (77.8%), Pearson’s r (47.8%), χ2 (32.2%), ANOVA (30.7%), t tests (30.0%), and MANOVA (23.0%). Approximately half (53.3%) of the articles included reliability reports for the data at hand; Cronbach’s alpha was the most commonly reported measure of reliability (41.5%). Some discussions of best statistical practice and implications for the field of gifted education are included.
Prospective Investigation Of A Ptsd Personality Typology Among Individuals With Personality Disorders, Meghan E. Mcdevitt-Murphy, M. Tracie Shea, Shirley Yen, Carlos M. Grilo, Charles A. Sanislow, John C. Markowitz, Andrew E. Skodol
Prospective Investigation Of A Ptsd Personality Typology Among Individuals With Personality Disorders, Meghan E. Mcdevitt-Murphy, M. Tracie Shea, Shirley Yen, Carlos M. Grilo, Charles A. Sanislow, John C. Markowitz, Andrew E. Skodol
Charles A. Sanislow, Ph.D.
This study investigated the replicability of a previously proposed personality typology of posttraumatic stress disorder (PTSD, and explored stability of cluster membership over a 6-month period. Participants with current PTSD (n = 156) were drawn from the Collaborative Longitudinal Personality Disorders Study (CLPS). The CLPS project tracked a large sample of individuals who met criteria for 1 of 4 target diagnoses (borderline, schizotypal, avoidant, and obsessive-compulsive) and a contrast group of individuals who met criteria for depression but no personality disorder. A cluster analysis using scales from the Schedule of Nonadaptive and Adaptive Personality yielded 3 clusters: “internalizing,” “externalizing,” and …
Managing Clustered Data Using Hierarchical Linear Modeling, Russell Warne
Managing Clustered Data Using Hierarchical Linear Modeling, Russell Warne
Russell T Warne
Researchers in nutrition research often use cluster or multistage sampling to gather participants for their studies. These sampling methods often produce violations of the assumption of data independence that most traditional statistics share. Hierarchical linear modeling is a statistical method that can overcome violations of the independence assumption and lead to correct analysis of data, yet it is rarely used in nutrition research. The purpose of this viewpoint is to illustrate the benefits of hierarchical linear modeling within a nutrition research context.
Avoidant Personality Disorder, Traits, And Type, Charles A. Sanislow, Katelin Da Cruz, May O. Gianoli, Elizabeth M. Reagan
Avoidant Personality Disorder, Traits, And Type, Charles A. Sanislow, Katelin Da Cruz, May O. Gianoli, Elizabeth M. Reagan
Charles A. Sanislow, Ph.D.
In this chapter, the evolution of the avoidant personality disorder (AVPD) diagnosis, its current status, and future possibilities are reviewed. AVPD is a chronic and enduring condition involving a poor sense of self and anxiety in social situations, and it is marked by fears of rejection and a distant interpersonal stance. AVPD may be conceptualized at the severe end of a continuum of social anxiety. In the extreme, traits, mechanisms, and symptoms become integral to chronic dysfunction in personality and interpersonal style. While AVPD is a valid diagnostic construct, the optimal organization of AVPD criteria for the diagnosis, and the …
Long Term Predictive Validity Of Diagnostic Models For Personality Disorder: Integrating Trait And Disorder Concepts, Leslie C. Morey, Christopher J. Hopwood, John C. Markowitz, John G. Gunderson, Carlos M. Grilo, Thomas H. Mcglashan, M. Tracie Shea, Shirley Yen, Charles A. Sanislow, Andrew E. Skodol
Long Term Predictive Validity Of Diagnostic Models For Personality Disorder: Integrating Trait And Disorder Concepts, Leslie C. Morey, Christopher J. Hopwood, John C. Markowitz, John G. Gunderson, Carlos M. Grilo, Thomas H. Mcglashan, M. Tracie Shea, Shirley Yen, Charles A. Sanislow, Andrew E. Skodol
Charles A. Sanislow, Ph.D.
Background. Several conceptual models have been considered for the assessment of personality pathology in DSM-5. This study sought to extend our previous findings to compare the long-term predictive validity of three such models: the Five-Factor Model (FFM), the Schedule for Nonadaptive and Adaptive Personality (SNAP), and DSM-IV personality disorders (PDs).
Method. An inception cohort from the Collaborative Longitudinal Personality Disorder Study (CLPS) was followed for 10 years. Baseline data were used to predict long-term outcomes, including functioning, Axis I psychopathology, and medication use.
Results. Each model was significantly valid, predicting a host of important clinical outcomes. Lower-order elements of the …
Governance-Default Risk Relationship And The Demand For Intermediated And Non-Intermediated Debt, Safdar Khan
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
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
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
Dynamic Problem Solving: A New Assessment Perspective, Samuel Greiff, Sascha Wüstenberg, Joachim Funke
Joachim Funke