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Lin Ma – ProQuest LLC, 2024
This dissertation presents an innovative approach to examining the keying method, wording method, and construct validity on psychometric instruments. By employing a mixed methods explanatory sequential design, the effects of keying and wording in two psychometric assessments were examined and validated. Those two self-report psychometric…
Descriptors: Evaluation, Psychometrics, Measures (Individuals), Instrumentation
Remzi Kiliç; Feyza Aydin Bölükbas – European Journal of Education, 2025
This study was conducted to develop an instrument with good psychometric properties to measure primary school students' attitudes towards mathematics. For this purpose, the screening model was utilised in the research. The form was prepared in the form of a five-point Likert scale (Very Unhappy, Unhappy, Neither Happy nor Unhappy, Happy, Very…
Descriptors: Test Construction, Elementary School Students, Student Attitudes, Test Validity
Mackenzie Robeson; Kyle M. Brasil; Haley C. Adams; Kimberly R. Zlomke – Autism: The International Journal of Research and Practice, 2024
Anxiety, depression, and suicidality are major concerns among college students, though less is known about these constructs in autistic college students. Given the rising number of autistic individuals entering post-secondary education, adequate measurement and diagnosis of anxiety, depression, and suicidality is necessary to provide clinical care…
Descriptors: Depression (Psychology), Anxiety, Autism Spectrum Disorders, Students with Disabilities
Emily A. Holt; Jessica Duke; Ryan Dunk; Krystal Hinerman – Environmental Education Research, 2024
Student understanding of climate change is an active and growing area of research, but little research has documented undergraduate students' knowledge about the biotic impacts of climate change. Here, we address this literature gap by presenting the Inventory of Biotic Climate Literacy (IBCL), a concept inventory developed to assess undergraduate…
Descriptors: Climate, Undergraduate Students, Knowledge Level, Test Construction
Summers, Jessica J.; Falco, Lia D. – Journal of Career Development, 2022
This study presents an exemplar for psychometric evaluation and modification of established measures when applied to new populations. Specifically, we describe the use of two subscales (Career Decision-Making Self-Efficacy Scale and Math/Science Self-Efficacy Scale) from the Middle School Self-Efficacy Scale (MSSES) as outcome measures in an…
Descriptors: Middle School Students, Self Efficacy, High School Students, Psychometrics
Liu, Jingwen; Keating, Xiaofen D. – European Physical Education Review, 2022
The development of a teacher identity (TI) profoundly impacts teacher education program graduates' career intention and teaching practices. Existing studies on pre-service physical education teachers' teacher identity (PPET-TI) have used qualitative methods to focus on the dynamic and reflective features of TI. Quantitative studies that help…
Descriptors: Preservice Teachers, Physical Education Teachers, Professional Identity, Test Construction
Mantak Yuen; Ryder Tsz-Hong Chan; Shui-Wai Wong; Josephine Yau; Jiahong Zhang; Esther Yuk-Fan Ho; Eric Fung; Serene Chan; Florence Wu – High Ability Studies, 2023
Possession of hope and meaning in life is critical for mental health, especially in times of adversity. In previous research, the most frequently used measure to assess hope has been the "Dispositional Hope Scale." However, there has been debate over some aspects of the scale's factor structure. Similarly, meaning in life has been…
Descriptors: Expectation, Academically Gifted, Student Characteristics, Foreign Countries
Yanchao Yang; Wangze Li; Sijia Xue; Wenxue Huang; Shijie Guo – European Journal of Education, 2025
In response to the prevalence of perceived internship Pick-up Artist(PUA) behaviours and the lack of appropriate measurement tools, the purpose of this study was to develop and validate a new self-designed questionnaire, the Perceived Internship PUA Scale (PIPUAS), to assess college student interns' perceptions of internship PUA behaviours. The…
Descriptors: Measurement Techniques, Incidence, Internship Programs, Validity
Atilla Ergin; Yelkin Diker Coskun – International Journal on Social and Education Sciences, 2024
This study aims to develop a scale to measure the design thinking process and to evaluate the reliability and validity of this scale. It fills this gap by introducing a 36-item scale specifically designed to measure design thinking abilities across the five key stages of the design thinking process: empathize, define, ideate, prototype, and test,…
Descriptors: Design, Thinking Skills, Likert Scales, Empathy
Lijun Shen; Zitsi Mirakhur; Sarah LaCour – Computer Science Education, 2025
Background and Context: Educators and researchers are interested in building the computational thinking (CT) skills of K-12 students. However, the availability of language-agnostic assessments for lower elementary graders remains limited. Objective: We present preliminary insights into the reliability and validity of the Computational Thinking…
Descriptors: Thinking Skills, Gender Differences, Computer Science Education, Elementary School Students
Lane, Kathleen Lynne; Oakes, Wendy Peia; Cantwell, Emily D.; Common, Eric A.; Royer, David J.; Leko, Melinda M.; Schatschneider, Christopher; Menzies, Holly Mariah; Buckman, Mark Matthew; Allen, Grant Edmund – Journal of Emotional and Behavioral Disorders, 2019
In this article, we examined predictive validity of "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE) scores for use with elementary-age students (N = 4,465) from 14 elementary schools. Results indicated elementary school students with high levels of risk according to fall SRSS-IE scores--especially those with…
Descriptors: Predictive Validity, Elementary School Students, At Risk Students, Screening Tests
Lane, Kathleen Lynne; Oakes, Wendy Peia; Cantwell, Emily D.; Common, Eric A.; Royer, David J.; Leko, Melinda M.; Schatschneider, Christopher; Menzies, Holly Mariah; Buckman, Mark Matthew; Allen, Grant Edmund – Grantee Submission, 2019
In this article we examined predictive validity of Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE) scores for use with elementary-age students (N = 4,465) from 14 elementary schools. Results indicated elementary school students with high levels of risk according to fall SRSS-IE scores -- especially those with…
Descriptors: Predictive Validity, Elementary School Students, At Risk Students, Screening Tests
Aude Thomas; Youssef Tazouti; Lara Hoareau; Christophe Luxembourger; Blandine Hubert; Annette Jarlégan – International Journal of Early Years Education, 2023
The development of early numeracy skills in preschoolers is an important predictor of future academic performance. A multiplicity of tasks or tests measure early numeracy skills in the English-language. Nevertheless, no tools are currently in French for evaluating and monitoring the development of young children's early numeracy skills. The…
Descriptors: Foreign Countries, Numeracy, Preschool Education, Preschool Children
Thomas A. O'Neill; Aliza J. Aldana; Jose A. Espinoza; McKenna P. Sperry; Kyle M. Brykman; Magda B. L. Donia – Assessment & Evaluation in Higher Education, 2024
Teamwork skills are foundational for career success and student learning in group projects. One of the major challenges of teamwork involves managing conflict among team members. In the current research, we develop a conflict management styles (CMS) psychometric inventory that assesses students' levels of the five styles of managing conflict based…
Descriptors: Conflict Resolution, Feedback (Response), Teamwork, Psychometrics
McClurg, Virginia M.; Codalata, Bonnie M.; Bell, Sherry M.; McCallum, R. Steve – Gifted Child Today, 2022
The psychometric integrity of a curriculum-based measure to screen for academic giftedness (Monitoring Instructional Responsiveness: Reading [MIR:R]) was evaluated by examining its ceiling, item gradient, and predictive capacity using 460 fourth grade students. Eighty fourth graders (17.39%) scored one standard deviation above the MIR:R mean. Ten…
Descriptors: Psychometrics, Screening Tests, Talent Identification, Academically Gifted