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Taskin, Necati; Kiliç Çakmak, Ebru – Contemporary Educational Technology, 2020
Marczewski (2015) has introduced a new classification model for different user types. Tondello et al. (2016) developed and later revised (Tondello et al., 2019) "The Gamification User Types Hexad Scale" based on this model. The aim of this study is to adapt this scale into Turkish. The validity and reliability study of the scale was…
Descriptors: Measures (Individuals), Turkish, Games, Media Adaptation
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Demir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
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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
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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
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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
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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
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Phiakoksong, Somjin; Niwattanakul, Suphakit; Angskun, Thara – Informatics in Education, 2013
Ontology is a knowledge representation technique which aims to make knowledge explicit by defining the core concepts and their relationships. The Structural Equation Modeling (SEM) is a statistical technique which aims to explore the core factors from empirical data and estimates the relationship between these factors. This article presents an…
Descriptors: Structural Equation Models, Instructional Effectiveness, Concept Teaching, Concept Mapping
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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
Poggio, John P.; Fabry, Julian – 1975
Results of a study investigating the extent of relationship between inventoried interests using the SVIB and expressed interests coded using each of the vocational classification schemes suggested by Holland, Roe, and Strong is reported. Expressed vocational choice as well as scores on 35 of the Strong Vocational Interest Blank (SVIB) were…
Descriptors: Career Choice, Classification, College Students, Comparative Analysis
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Smith, Philip; And Others – Journal of Clinical Psychology, 1983
Examined the relationship between personality and psychopathology using the Multivariate Personality Inventory (MPI) (N=100). Results showed significant differences among groups, which indicates that the personality groups as defined by the MPI in a normal population perform as would be predicted from work with pathological groups. (JAC)
Descriptors: Classification, College Students, Factor Structure, Higher Education
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Pearson, Richard E. – Personnel and Guidance Journal, 1982
Explored the concept of support networks to clarify the uses of support responses in counseling relationships. College students (N=33) responded to a survey examining support systems. Classification of data identified 13 support categories. Factor analysis revealed three factors suggesting a category differentiation based on emotion rather than…
Descriptors: Classification, College Students, Counseling Techniques, Counselor Client Relationship
Vansickle, Timothy R.; Conn, Steven R. – 1996
As part of an exploration of how best to use normal personality measures in career development and guidance, this study investigated the use of the Sixteen Personality Factor Questionnaire Fifth Edition (16PF Fifth Edition) assessment and its relationship to the widely used typology of J. L. Holland (1985) and the new Campbell Orientations (1992).…
Descriptors: Career Development, Classification, College Students, Employees