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Abdolvahab Khademi; Craig S. Wells; Maria Elena Oliveri; Ester Villalonga-Olives – SAGE Open, 2023
The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…
Descriptors: Factor Analysis, Factor Structure, Error of Measurement, Test Items
Young-Jin Lim – SAGE Open, 2023
The goal of this study was to examine the factorial structure, internal consistency, test-retest reliability, criterion validity, convergent validity, and discriminant validity of the Brief Strengths Scale-12 (BSS-12) in Korean population. The Korean sample comprised 288 college students (68.1% were female), ranging in age 19 to 30 years (mean age…
Descriptors: Foreign Countries, Factor Structure, Test Reliability, Test Validity
Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
Salim Nabhan; Anita Habók – SAGE Open, 2025
As the integration of digital technologies continues to shape academic landscapes, assessing digital literacy in the context of academic writing becomes paramount. Several instruments and frameworks are available for measuring digital literacy and examining it from different perspectives; however, none are suitable for measuring the digital…
Descriptors: Digital Literacy, Academic Language, Writing (Composition), Measures (Individuals)
Lakaev, Natasha – SAGE Open, 2022
Rasch Analysis suggested the Lakaev Academic Stress Response Scale-1 (LASRS-1) would benefit from refinement by the addition of items and changes to the wording of other items. It was named the LASRS-2 and contained Four Domains (Affective, Behavioral, Cognitive, and Physiological). Rasch Model Analysis tested construct validity and internal…
Descriptors: Attitude Measures, Psychometrics, Item Response Theory, Stress Variables
Factor Structure and Psychometric Properties of the Digital Stress Scale in a Chinese College Sample
Chunlei Gao; Mingqing Jian; Ailin Yuan – SAGE Open, 2024
The Digital Stress Scale (DSS) is used to measure digital stress, which is the perceived stress and anxiety associated with social media use. In this study, the Chinese version of the DSS was validated using a sample of 721 Chinese college students, 321 males and 400 females (KMO = 0.923; Bartlett = 5,058.492, p < 0.001). Confirmatory factor…
Descriptors: Factor Structure, Factor Analysis, Psychometrics, Anxiety
Seok, Chua Bee; Cosmas, Getrude; Hashmi, Shazia Iqbal; Ading, Carmella – SAGE Open, 2022
The Flourishing Scale is a new scale designed to measure psychological well-being. FS has been translated into more than 10 languages (e.g., Portuguese, Russian, Turki, Spanish, Egyptian, French, Chinses, Japanese, Malay, Urdu, and Persian). The psychometric analysis of the Flourishing Scale has not been explored in the Malaysian context. The aims…
Descriptors: Gender Differences, Measures (Individuals), Psychometrics, Well Being
Çetin Toraman; Günes Korkmaz – SAGE Open, 2023
Understanding education and schooling has always been of great importance for researchers and for the society in digital era. The changing conditions and ever-growing situations in education have also impacted on the meaning that the students attribute to schools, especially after the pandemic. This study aims to develop a measurement tool that…
Descriptors: High School Students, Student Attitudes, Educational Attitudes, Attitude Measures
Reyes-Reyes, Alejandro; Calzadilla-Núñez, Aracelis; Torres-Martínez, Pilar; Díaz-Calzadilla, Patricia; Pastén-Hidalgo, Wilson; Bracho-Milic, Fanny; Díaz-Narváez, Víctor – SAGE Open, 2021
Currently, the most common measurement of empathy is obtained using scales that offer a continuum between a minimum and a maximum value. The objectives of this study were to establish a norm and estimate cut-off points that would make it possible to assess the Jefferson Scale of Empathy (JSE) version for Health Professions students (HPS-version),…
Descriptors: Attitude Measures, Empathy, Psychometrics, Cutting Scores