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Observation Oriented Modeling:Preparing students for research in the 21st century
Oriented Modeling Preparing students the 21st century
2016/3/16
Observation Oriented Modeling is an alternative to traditional methods of data conceptualization and analysis that challenges researchers to develop integrated, explanatory models of patterns of obser...
Modeling Dyadic Attunement: Physiological Concordance in Newly Married Couples and Alliance Similarity in Patient-Therapist Dyads
alliance attunement cortisol dyadic analysis hierarchical linear modeling relationship process
2014/11/5
Mutual influence within relationships is theorized as central to human development and functioning across the lifespan. Multiple theories posit a process of progressive bidirectional influence that re...
Modeling the Influence of Childhood Trauma on Rate of Symptom Change Among Psychiatric Inpatients
childhood trauma psychiatric hospitalization response to treatment symptom change
2014/11/5
Clinical wisdom suggests that adults with histories of childhood trauma will have difficulty engaging in psychotherapy. I examined the relationship between early childhood trauma and treatment respons...
Current Signal Detection Theory models of source memory necessitate assumptions about the underlying distributions of source strengths to describe source memory performance. The current experiments ap...
Log-linear modeling and two-sample CFA in the search of discrimination types
Two-sample comparison Configural Frequency Analysis (CFA) two-sample CFA log-linear modeling (LLM) nonparametric testing contingency table analysis
2010/1/4
Two-sample configural frequency (CFA) is suggested as a useful statistical tool to compare data from pretest-posttest-designs. The investigated data may be difference or improvement scores. The above ...
Structural Equation Modeling (SEM) vs. Configural Frequency Analysis (CFA): An empirical approach
Structural Equation Modeling (SEM) Prediction Configural Frequency Analysis (P-CFA SEM model tetrachoric correlations asymptotic covariance matrix
2010/1/4
Structural Equation Modeling (SEM) denotes a group of statistical methods which are predominantly applied to metric scaled and normal distributed data. Recently SEM has often been applied to categoric...
Modeling intraindividual change over time in the absence of a Gold Standard
Classification errors epidemiology physical aggression National Longitudinal Survey of Children and Youth
2009/12/30
Looking at intra-individual change over time in a particular phenomenon may present some methodological challenges. The aim of this report was: 1. To show the effect of independent classification erro...
Formal modeling in research on episodic memory and aging
Formal modeling research episodic memory aging
2009/12/29
For about forty years, age-related differences in episodic-memory tasks have been a major focus of the growing field of cognitive-aging research. Most theoretical approaches invoked to explain such di...
In modeling visual backward masking, the focus has been on temporal effects. More specifically, an explanation has been sought as to why strongest masking can occur when the mask is delayed with respe...
In modeling visual backward masking, the focus has been on temporal effects. More specifically, an explanation has been sought as to why strongest masking can occur when the mask is delayed with respe...
Applications of Individual Growth Curve Modeling for Pediatric Psychology Research
Growth curves trajectories longitudinal modeling statistical methods
2008/4/8
Objective To provide a brief, nontechnical introduction to individual growth curve modeling for the analysis of longitudinal data. Several applications of individual growth curve modeling for pediatri...
Predictors of Youth Diabetes Care Behaviors and Metabolic Control: A Structural Equation Modeling Approach
diabetes self-care metabolic control
2008/4/8
Objective To empirically test a biopsychosocial model of predictors of youth diabetes care behaviors and metabolic control. Methods A cross-sectional multisite study of youths (N = 222) with T1D (mean...