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Koyuncu, Ilhan; Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2021
In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…
Descriptors: Classification, Graphs, Factor Analysis, Decision Making
Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
Leung, Chi Hung – Asia Pacific Education Review, 2017
Depression, anxiety, and stress of moderate to severe levels were found in 21, 41, and 27% of university students in Hong Kong, respectively. The development of a screening tool for assessing adjustment difficulties among tertiary education students is helpful for counseling professionals in university. The Student Perception of University Support…
Descriptors: Student Adjustment, Mental Health, Depression (Psychology), Anxiety
Li, Li; Titsworth, Scott – American Journal of Distance Education, 2015
The current program of research included two studies that developed the Student Online Misbehaviors (SOMs) scale and explored relationships between the SOMs and various classroom communication processes and outcomes. The first study inductively developed initial SOM typologies and tested factor structure via an exploratory factor analysis.…
Descriptors: Student Behavior, Behavior Problems, Online Courses, Electronic Learning
Usart, Mireia; Romero, Margarida – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The study of "Time Orientation" (TO) has been focused on how to measure this construct and its effects on human behavior. Defined as a fundamental psychological variable, TO is multidimensional, sensible to cultural differences and age. Although its relation to learning, it deserves further study in the different Higher…
Descriptors: Factor Structure, College Students, Spanish, Factor Analysis
Kim, Seong-Hyeon; Beretvas, S. Natasha; Sherry, Alissa R. – Measurement and Evaluation in Counseling and Development, 2010
This study investigated the Outcome Questionnaire's (OQ-45) factor structure and demonstrated the use of factor mixture modeling (FMM) for the purpose of score validation. OQ-45 scores did not fit the one-class, one- and three-factor models. Use of FMM to identify a two-class model is detailed. Implications for OQ-45 users are provided. (Contains…
Descriptors: Validity, Factor Structure, Factor Analysis, Scores
Crisp, Gloria; Cruz, Irene – Journal of Hispanic Higher Education, 2010
The present study validated the underlying domains that comprise the mentoring experiences of students attending a Hispanic Serving Institution. Mentoring was hypothesized to comprise four interrelated components as measured by the College Student Mentoring Scale. "T" test results indicated different groups of students received similar mentoring…
Descriptors: Undergraduate Students, Mentors, Test Results, Factor Structure
Ebesutani, Chad; Bernstein, Adam; Nakamura, Brad J.; Chorpita, Bruce F.; Weisz, John R. – Journal of Abnormal Child Psychology, 2010
The Revised Child Anxiety and Depression Scale-Parent Version (RCADS-P) is a 47-item parent-report questionnaire of youth anxiety and depression, with scales corresponding to the DSM-IV categories of Separation Anxiety Disorder, Social Phobia, Generalized Anxiety Disorder (GAD), Panic Disorder, Obsessive-Compulsive Disorder, and Major Depressive…
Descriptors: Validity, Measures (Individuals), Psychometrics, Depression (Psychology)
Matson, Johnny L.; Gonzalez, Melissa; Wilkins, Jonathan – Research in Autism Spectrum Disorders, 2009
The Autism Spectrum Disorders-Diagnostic for Children (ASD-DC) is a 40-item Likert format scale designed to serve in the diagnosis of children and adolescents from 2 to 16 years of age. The reliability and factor structure of the scale have been established in previous research. Studies 1 and 2 were designed to evaluate the validity of the measure…
Descriptors: Autism, Asperger Syndrome, Validity, Factor Structure

Hill, P. W.; McGaw, B. – American Educational Research Journal, 1981
In an attempt to resolve conflicting conclusions arising from an investigation of the validity of the claimed psychological properties of Bloom's taxonomy, the LISREL method was applied to the data of Kropp and Stoker. The simplex assumption was supported when the knowledge category is deleted from the taxonomy. (Author/RL)
Descriptors: Classification, Factor Structure, Goodness of Fit, Hypothesis Testing
Kotov, Roman; Schmidt, Norman B.; Lerew, Darin R.; Joiner, Thomas E.; Ialongo, Nicholas S. – Psychological Assessment, 2005
Taxometrics is a statistical tool that can be used to discern categories from continua. Taxometric analyses (MAXCOV and MAXEIG) were conducted in a large nonclinical sample (N=1,215) to determine whether extreme anxiety forms a distinct psychopathological category, an anxiety taxon. Anxiety was operationalized with self-report measures of…
Descriptors: Cognitive Style, Validity, Anxiety, Factor Structure
Komulainen, Erkki – 1971
This paper examines interaction in a school class through the factor-analytical P-technique, considers the behavior of the factor scores in combination with certain other variables included in the interaction matrix, explores the formation of homogeneous groups of lessons in a grouping analysis based on the factor scores, and compares this latter…
Descriptors: Classification, Factor Analysis, Factor Structure, Interaction Process Analysis
Madaus, George F.; And Others – 1971
Bloom's taxonomy of the cognitive domain consists of six major levels: Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. The purpose of this study is to construct a quantitative causal model for a set of tests designed to operationally define these six levels in order to further explore the validity of the cumulative…
Descriptors: Achievement Tests, Classification, Cognitive Objectives, Cognitive Processes