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Avcu, Akif – Journal of Theoretical Educational Science, 2022
When performing regression analysis, one way to examine the normality of data is to screen outliers. Outliers, on the other hand, do not always have an effect on regression results. In reality, cases with a large amount of residuals that affect regression analysis results are referred to as influential cases. It is important to detect them in the…
Descriptors: Regression (Statistics), Factor Analysis, Factor Structure, Mathematics
Sophie Langhorne; Nora Uglik-Marucha; Charlotte Broadhurst; Elena Lieven; Amelia Pearson; Silia Vitoratou; Kathy Leadbitter – Journal of Autism and Developmental Disorders, 2025
Tools to measure autism knowledge are needed to assess levels of understanding within particular groups of people and to evaluate whether awareness-raising campaigns or interventions lead to improvements in understanding. Several such measures are in circulation, but, to our knowledge, there are no psychometrically-validated questionnaires that…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Questionnaires, Psychometrics
El Kadiri Boutchich, Driss – Journal of Education, 2019
The alternative human capital evaluation method proposed is implemented via two methods: principal component analysis and discriminant analysis. The first method classifies the research laboratory activities in homogeneous clusters, while the second method standardizes their scores. The proposed method is sitting in the activity-based management…
Descriptors: Human Capital, Evaluation Methods, Laboratories, Factor Analysis
Alamer, Abdullah; Marsh, Herbert – Studies in Second Language Acquisition, 2022
This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Second Language Learning
Jia Lu; Xiaodan Wang; Xiaohui Chen; Xin Wang; Xundiao Ma; Hanxi Wang – Education and Information Technologies, 2025
Socially regulated learning (SoRL) is a critical mechanism for enhancing the effectiveness of collaborative learning outcomes. Measurement of university students' engagement in SoRL is essential for refining the strategies aimed at improving its efficacy. Nonetheless, the measurement of university students' levels of engagement in SoRL remains…
Descriptors: Foreign Countries, College Students, Cooperative Learning, Electronic Learning
Rescorla, Leslie A.; Adams, Allison; Ivanova, Masha Y. – Journal of Autism and Developmental Disorders, 2020
Previous research supports the CBCL/1½--5's "DSM"-ASD scale (and its precursor, the "DSM"-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric…
Descriptors: Child Behavior, Check Lists, Clinical Diagnosis, Screening Tests
Garn, Alex C.; Webster, E. Kipling – Measurement in Physical Education and Exercise Science, 2018
The Test of Gross Motor Development--Second Edition (TGMD-2) is a widely used evaluation tool of children's fundamental motor skills (FMS). This study illustrates how exploratory structural equation modeling (ESEM) addresses current limitations associated with TGMD-2 factor structure. Using the normative dataset from the TGMD-2 manual, we test…
Descriptors: Motor Development, Performance Tests, Factor Structure, Structural Equation Models
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Tabancali, Erkan; Simsek, Gülhayat Gölbasi; Korumaz, Mithat – Online Submission, 2017
In this study researchers aim to develop a valid and reliable talent management scale for educational organizations. For this aim the sample of the study involves 784 principals, vice principals and teachers who work in different schools and provinces in Istanbul in 2014-2015 academic year. Data was analyzed in eight steps by using quantitative…
Descriptors: Talent Development, Likert Scales, Construct Validity, Test Reliability
Yazgan, Yeliz – Educational Research and Reviews, 2015
This study investigated the role of each strategy in explaining sixth graders' (12-13 years old students') non-routine problem solving success and discriminating between successful and unsuccessful students. Twelve non-routine problems were given to 123 pupils. Answers were scored between 0 and 10. Bottom and top segments of 27% were then…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, Problem Solving
Fischer, Britta; Bisterfeld, Miriam; Staab, Oliver – Australian Journal of Teacher Education, 2018
To a greater or lesser extent, specific combinations of commitment, resilience and subjective well-being represent favorable individual resources in order to cope with professional demands. Prior studies have identified different patterns of these behaviors and experiences. The present study deals with the question whether these patterns are also…
Descriptors: Well Being, Physical Education Teachers, Discriminant Analysis, Career Choice
Miñano Pérez, Pablo; Costa, Juan Luis Castejón; Corbi, Raquel Gilar; Iniesta, Alejandro Veas – Measurement and Evaluation in Counseling and Development, 2017
We examined the psychometric properties of the School Attitude Assessment Survey-Revised in a Spanish population (n = 1,398). Confirmatory factor analysis procedures supported the instrument's five-factor structure. The results of discriminant analysis demonstrated the predictive power of the School Attitude Assessment Survey-Revised scales as…
Descriptors: Foreign Countries, School Attitudes, Student Attitudes, Attitude Measures
Ballance, Oliver James – Computer Assisted Language Learning, 2017
One of the most promising avenues of research in computer-assisted language learning is the potential for language learners to make use of language corpora. However, using a corpus requires use of a corpus tool as an interface, typically a concordancer. How such a tool can be made most accessible to learners is an important issue. Specifically,…
Descriptors: Teaching Methods, Indexes, Multivariate Analysis, Classification
Xian, Sidong; Xia, Haibo; Yin, Yubo; Zhai, Zhansheng; Shang, Yan – Cogent Education, 2016
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET…
Descriptors: Discriminant Analysis, Factor Analysis, Student Evaluation of Teacher Performance, Instructional Effectiveness
Whitaker, Manya C.; Valtierra, Kristina Marie – Journal for Multicultural Education, 2018
Purpose: The purpose of this study is to develop and validate the dispositions for culturally responsive pedagogy scale (DCRPS). Design/methodology/approach: Scale development consisted of a six-step process including item development, expert review, exploratory factor analysis, factor interpretation, confirmatory factor analysis and convergent…
Descriptors: Measures (Individuals), Likert Scales, Culturally Relevant Education, Test Construction

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