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McFarland, Dennis J. – Journal of Speech, Language, and Hearing Research, 2014
Purpose: Factor analysis is a useful technique to aid in organizing multivariate data characterizing speech, language, and auditory abilities. However, knowledge of the limitations of factor analysis is essential for proper interpretation of results. The present study used simulated test scores to illustrate some characteristics of factor…
Descriptors: Factor Analysis, Inferences, Scores, Tests
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Roelle, Julian; Berthold, Kirsten; Renkl, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2014
Although instructional explanations are commonly used to introduce learners to new learning content, previous studies have often shown that their effects on learning outcomes are minimal. This failure might partly be due to mental passivity of the learners while processing introductory explanations and to a lack of opportunity to revise potential…
Descriptors: College Students, Psychology, Instructional Effectiveness, Teaching Methods
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Canivez, Gary L. – School Psychology Quarterly, 2014
The Wechsler Intelligence Scale for Children--Fourth Edition (WISC-IV) is one of the most frequently used intelligence tests in clinical assessments of children with learning difficulties. Construct validity studies of the WISC-IV have generally supported the higher order structure with four correlated first-order factors and one higher-order…
Descriptors: Intelligence Tests, Construct Validity, Children, Learning Problems
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Luckay, Melanie B.; Collier-Reed, Brandon I. – International Journal of Technology and Design Education, 2014
In this article, an instrument for assessing upper secondary school students' levels of technological literacy is presented. The items making up the instrument emerged from a previous study that employed a phenomenographic research approach to explore students' conceptions of technology in terms of their understanding of the "nature…
Descriptors: Secondary School Students, Technological Literacy, Measures (Individuals), Student Attitudes
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Attali, Yigal – Educational and Psychological Measurement, 2014
This article presents a comparative judgment approach for holistically scored constructed response tasks. In this approach, the grader rank orders (rather than rate) the quality of a small set of responses. A prior automated evaluation of responses guides both set formation and scaling of rankings. Sets are formed to have similar prior scores and…
Descriptors: Responses, Item Response Theory, Scores, Rating Scales
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Pope, J. Paige; Hall, Craig R. – Measurement in Physical Education and Exercise Science, 2014
This study was designed to examine select psychometric properties of the Coach Identity Prominence Scale (CIPS), including the reliability, factorial validity, convergent validity, discriminant validity, and predictive validity. Coaches (N = 338) who averaged 37 (SD = 12.27) years of age, had a mean of 13 (SD = 9.90) years of coaching experience,…
Descriptors: Athletic Coaches, Self Concept Measures, Test Validity, Test Reliability
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Köse, Alper – Educational Research and Reviews, 2014
The primary objective of this study was to examine the effect of missing data on goodness of fit statistics in confirmatory factor analysis (CFA). For this aim, four missing data handling methods; listwise deletion, full information maximum likelihood, regression imputation and expectation maximization (EM) imputation were examined in terms of…
Descriptors: Data Analysis, Data Collection, Statistical Analysis, Evaluation Methods
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Chang, Mei; Paulson, Sharon E.; Finch, W. Holmes; Mcintosh, David E.; Rothlisberg, Barbara A. – Psychology in the Schools, 2014
This study examined the underlying constructs measured by the Woodcock-Johnson Tests of Cognitive Abilities, Third Edition (WJ-III COG) and the Stanford-Binet Intelligence Scales, Fifth Edition (SB5), based on the Cattell-Horn-Carrol (CHC) theory of cognitive abilities. This study reports the results of the first joint confirmatory factor analysis…
Descriptors: Factor Analysis, Intelligence Tests, Preschool Children, Maximum Likelihood Statistics
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Omidi Najafabadi, Maryam; Mirdamadi, Seyed Mehdi; Payandeh Najafabadi, Amir Teimour – International Journal on E-Learning, 2014
The facts that the wireless technologies (1) are more convenient; and (2) need less skill than desktop computers, play a crucial role to decrease digital gap in rural areas. This study employed the Bayesian Confirmatory Factor Analysis (CFA) to design a mobile training system in rural areas of Iran. It categorized challenges, potential, and…
Descriptors: Foreign Countries, Electronic Learning, Telecommunications, Computer Networks
Korkmaz, Özgen; Altun, Halis – Online Submission, 2014
Students might have different type and different level of perceptions: Positive or negative perceptions on programming; a perception on benefit of programming, perceptions related to difficulties of programming process etc. The perception of student on their own competence is defined as self-efficacy. Based on the discussions reported in…
Descriptors: Foreign Countries, Computer Science Education, Programming, Self Efficacy
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Watson, Stuart; Vernon, Lynette; Seddon, Sarah; Andrews, Yolanda; Wang, Angela – Issues in Educational Research, 2016
Students' university aspirational capacity and expectancies are key factors in predicting future university participation. Aspirations and expectations to attend university are strongly influenced by parent educational socialisation and school culture. This study investigates associations between students' university discussions with parents and…
Descriptors: Academic Aspiration, Educational Attainment, Undergraduate Students, High School Students
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Cenberci, Selin; Beyhan, Adiviye – Journal of Education and Training Studies, 2016
The meaning of motivation has been much discussed and theorized in educational psychology. According to the Keller (2006), motivation is measured by the amount of effort the student makes in order to achieve the instructional goal. In addition to this, Sing (2011) clarified motivation is one of the most important prerequisites for learning also…
Descriptors: Preservice Teachers, Foreign Countries, Age Differences, Gender Differences
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Waheed, M.; Kaur, K.; Kumar, S. – Journal of Computer Assisted Learning, 2016
Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…
Descriptors: Electronic Learning, Student Satisfaction, Outcomes of Education, Undergraduate Students
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Alicea, Stacey; Suárez-Orozco, Carola; Singh, Sukhmani; Darbes, Tasha; Abrica, Elvira Julia – Educational Evaluation and Policy Analysis, 2016
Despite decades of research indicating classrooms shape student engagement, learning, and development, there is a dearth of empirically grounded research focusing specifically on observed classroom engagement as a predictor of student outcomes in community colleges. This article describes the development of a qualitatively grounded, quantitative…
Descriptors: Community Colleges, Two Year College Students, Learner Engagement, Predictor Variables
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Pakai, Annamária; Oláh, András; Farkasné-Buzánczky, Gabriella; Sélleyné-Gyúró, Mónika; Brantmüller, Éva – Practice and Theory in Systems of Education, 2016
Breast cancer is the most commonly diagnosed type of cancer and a leading cause of mortality among women both in developed and developing countries all over the world. Our research questions were the following: 1. What is the ratio of women participating in mammography screening? 2. What factors influence the attendance of the screening? A…
Descriptors: Cancer, Human Body, Females, Foreign Countries
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