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Teck Kiang Tan – Practical Assessment, Research & Evaluation, 2024
The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…
Descriptors: Bayesian Statistics, Factor Analysis, Programming Languages, Reliability
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Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
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Mustafa Taktak; Görsev Bafrali – International Journal of Technology in Education, 2025
This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…
Descriptors: Artificial Intelligence, Technology Uses in Education, Factor Analysis, Validity
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Tajeddin, Zia; Khatib, Mohammad; Mahdavi, Mohsen – Language Testing, 2022
Critical language assessment (CLA) has been addressed in numerous studies. However, the majority of the studies have overlooked the need for a practical framework to measure the CLA dimension of teachers' language assessment literacy (LAL). This gap prompted us to develop and validate a critical language assessment literacy (CLAL) scale to further…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
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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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Hibbert, Anita S.; Weinberg, Anna; Klonsky, E. David – Psychological Assessment, 2012
Interest in heart rate variability (HRV) metrics as markers of physiological and psychological health continues to grow beyond those with psychophysiological expertise, increasing the importance of developing suitable tools for researchers new to the field. Allen, Chambers, and Towers (2007) developed QRSTool and CMetX software as simple,…
Descriptors: Metabolism, Validity, Measurement, Computer Software
Thien, Lei Mee; Razak, Nordin Abd; Jamil, Hazri – Australian Association for Research in Education (NJ1), 2012
The purpose of this study is twofold: (1) to initialize a new conceptualization of positive feature based Friendship Quality (FQUA) scale on the basis of four dimensions: Closeness, Help, Acceptance, and Safety; and (2) to develop and validate FQUA scale in the form of reflective measurement model. The scale development and validation procedures…
Descriptors: Factor Analysis, Safety, Measures (Individuals), Friendship
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Jeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure
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Van der Elst, Wim; Hoogenhout, Esther M.; Dixon, Roger A.; De Groot, Renate H. M.; Jolles, Jelle – Assessment, 2011
The Memory Compensation Questionnaire (MCQ) is a psychometrically sound instrument that assesses the variety and extent to which an individual compensates for actual or perceived memory losses. Until now, only an English version of the MCQ has been psychometrically evaluated. The aim of the present study was to establish a Dutch version of the MCQ…
Descriptors: Test Validity, Factor Structure, Computer Software, Measures (Individuals)
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Lee, Soon-Mook – International Journal of Testing, 2010
CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…
Descriptors: Factor Structure, Computer Software, Factor Analysis, Research Methodology
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DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
Stellefson, Michael; Hanik, Bruce – Online Submission, 2008
When conducting an exploratory factor analysis, the decision regarding the number of factors to retain following factor extraction is one that the researcher should consider very carefully, as the decision can have a dramatic effect on results. Although there are numerous strategies that can and should be utilized when making this decision,…
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Evaluation Methods
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Ritzhaupt, Albert Dieter; Barron, Ann – Journal of Educational Computing Research, 2008
The purpose of this study was to investigate the effect of time-compressed narration and representational adjunct images on a learner's ability to recall and recognize information. The experiment was a 4 Audio Speeds (1.0 = normal vs. 1.5 = moderate vs. 2.0 = fast vs. 2.5 = fastest rate) x Adjunct Image (Image Present vs. Image Absent) factorial…
Descriptors: Narration, Recall (Psychology), Cues, Recognition (Psychology)
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Rensvold, Rover B.; Cheung, Gordon W. – Educational and Psychological Measurement, 1998
Summarizes the problem of factorial invariance in between-group difference studies, proposes a simplified notation intended to facilitate discussion of the problem, and suggests a structured approach for testing large models. Two computer programs are offered to help with the computation. (SLD)
Descriptors: Computer Software, Factor Structure, Models
Roberts, J. Kyle – 1999
Many researchers acknowledge the prominent role that factor analysis can play in efforts to establish construct validity. Data can be analyzed with no preconceived ideas about the underlying constructs of structure of the data. This approach is exploratory factor analysis, Another approach is used when the researcher has an understanding of the…
Descriptors: Computer Software, Construct Validity, Factor Structure, Goodness of Fit
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