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María Vicent; Andrea Fuster; María Pérez-Marco; María del Pilar Aparicio-Flores – Journal of Psychoeducational Assessment, 2025
Although the original long version of the Hewitt Multidimensional Perfectionism Scale (HMPS) has been translated and validated in a Spanish population, no study to date has examined the psychometric properties of a short version of the HMPS with a Spanish-speaking sample. For this reason, the aim of this study is to analyze the psychometric…
Descriptors: Personality Measures, Personality Traits, Spanish, Psychometrics
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José Ventura-León; Cristopher Lino-Cruz; Shirley Tocto-Muñoz; Andy Rick Sánchez-Villena – Journal of Psychoeducational Assessment, 2025
Academic and occupational success requires social intelligence, the ability to comprehend, and manage interpersonal connections. This research aims to assess and improve the Tromsø Social Intelligence Scale (TSIS) for Peruvian university students, focusing on cultural adaptability, reliability, and validity. Participants included 973 university…
Descriptors: Factor Analysis, Intelligence Tests, Test Items, Test Length
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Kotera, Yasuhiro; Conway, Elaine; Green, Pauline – British Journal of Guidance & Counselling, 2023
Academic motivation is important to students' mental health and performance. One established measure is the Academic Motivation Scale (AMS), comprising 28 items. AMS assesses intrinsic motivation, extrinsic motivation, and amotivation, which are further categorised into seven subscales. One weakness of AMS is its length. In this study, we…
Descriptors: Test Construction, Test Validity, Factor Analysis, Learning Motivation
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Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
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Kiliç, Abdullah Faruk; Uysal, Ibrahim – Turkish Journal of Education, 2019
In this study, the purpose is to compare factor retention methods under simulation conditions. For this purpose, simulations conditions with a number of factors (1, 2 [simple]), sample sizes (250, 1.000, and 3.000), number of items (20, 30), average factor loading (0.50, 0.70), and correlation matrix (Pearson Product Moment [PPM] and Tetrachoric)…
Descriptors: Simulation, Factor Structure, Sample Size, Test Length
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – Educational and Psychological Measurement, 2020
This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with traditional methods of short-form development. Metaheuristic algorithms can select items for short forms while…
Descriptors: Test Construction, Automation, Heuristics, Mathematics
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Hill, Andrew P.; Donachie, Tracy – Journal of Psychoeducational Assessment, 2020
The measurement of perfectionistic cognitions has recently caused disagreement among researchers. Flett, Hewitt, Blankstein, and Gray proposed that perfectionistic cognitions are unidimensional. However, after re-examining the factor structure of the instrument used to measure perfectionistic automatic thoughts (Perfectionism Cognitions Inventory…
Descriptors: Factor Structure, Test Length, Cognitive Processes, Personality Traits
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Casanova, Joana R.; Almeida, Leandro S.; Peixoto, Francisco; Ribeiro, Rui-Bártolo; Marôco, João – SAGE Open, 2019
Academic expectations play a significant role in the quality of student adaptation and academic success. Previous research suggests that expectations are a multidimensional construct, making it crucial to test the measures used for this important characteristic. Because assessment of student adaptation to higher education comprises a multitude of…
Descriptors: Foreign Countries, College Freshmen, Questionnaires, Expectation
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Rice, Kenneth G.; Srisarajivakul, Emily N.; Meyers, Joel; Varjas, Kris – School Psychology, 2019
One evaluation measure available through the Positive Behavioral Interventions and Supports framework is the Effective Behavior Support Self-Assessment Survey (SAS). Evaluations of the SAS have supported its factor structure. However, the SAS is designed to be completed by school personnel who are nested within other levels of analysis (e.g.,…
Descriptors: Factor Analysis, Factor Structure, Self Evaluation (Individuals), Teacher Surveys
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Mameli, Consuelo; Passini, Stefano – Journal of Psychoeducational Assessment, 2019
The elusive character of student agency makes it a relevant construct to be investigated and measured. An initial effort in this direction was represented by the Agentic Engagement Scale, a five-item instrument designed to assess the degree to which students constructively contribute to the flow of the instructions they receive from the teacher.…
Descriptors: Measures (Individuals), Test Construction, Test Validity, Learner Engagement
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – International Educational Data Mining Society, 2019
Short forms of psychometric scales have been commonly used in educational and psychological research to reduce the burden of test administration. However, it is challenging to select items for a short form that preserve the validity and reliability of the scores of the original scale. This paper presents and evaluates multiple automated methods…
Descriptors: Psychometrics, Measures (Individuals), Mathematics, Heuristics
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Kilic, Abdullah Faruk; Uysal, Ibrahim; Atar, Burcu – International Journal of Assessment Tools in Education, 2020
This Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance…
Descriptors: Factor Analysis, Computation, Methods, Sample Size
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Damrongpanit, Suntonrapot – Universal Journal of Educational Research, 2019
The purposes of this study were to test the structural validity and to test the parameters invariance of the self-discipline measurement model for good student citizenship among the models, using the data from the 1,047 complete questionnaires and the reducing length questionnaires with multiple matrix sampling technique. The sample size of this…
Descriptors: Factor Structure, Questionnaires, Test Length, Citizenship
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Wang, Chun – Journal of Educational and Behavioral Statistics, 2014
Many latent traits in social sciences display a hierarchical structure, such as intelligence, cognitive ability, or personality. Usually a second-order factor is linearly related to a group of first-order factors (also called domain abilities in cognitive ability measures), and the first-order factors directly govern the actual item responses.…
Descriptors: Measurement, Accuracy, Item Response Theory, Adaptive Testing
Dikici, Ayhan; Soh, Kaycheng – Online Submission, 2015
Many measurement tools on creativity are available in the literature. One of these scales is Creativity Fostering Teacher Behaviour Index (CFTIndex) developed for Singaporean teacher originally. It was then translated into Turkish and trialled on teachers in Nigde province with acceptable reliability and factorial validity. The main purpose of…
Descriptors: Creativity, Teacher Behavior, Comparative Analysis, Turkish
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