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Conner, Bradley T. – Measurement and Evaluation in Counseling and Development, 2022
The measurement of sensation seeking has been mired in controversy since Zukerman defined it. The sensation seeking personality trait (SSPT) eliminates many of the psychometric issues found in previous scales and may allow researchers to better understand the role of sensation seeking in the engagement in health risk behaviors.
Descriptors: Sensory Experience, Stimulation, Personality Traits, Measures (Individuals)
Allen, Thomas E.; Morere, Donna A. – Journal of Deaf Studies and Deaf Education, 2022
Since its publication in 2013, the Visual Communication and Sign Language (VCSL) Checklist has been widely utilized to assess the development of early American Sign Language skills of deaf children from birth to age 5. However, little research has been published using the results of VCSL assessments. Notably, no psychometric analyses have been…
Descriptors: American Sign Language, Communication (Thought Transfer), Young Children, Evaluation
Nowell, Sallie W.; Tomaszewski, Brianne; Steinbrenner, Jessica R.; Sam, Ann M.; Odom, Samuel L. – Journal of Autism and Developmental Disorders, 2022
Measurement of social-pragmatic communication skills is essential for clinicians and researchers working with school-aged children on the autism spectrum. Many measures of these skills require time-intensive training and coding that is impractical for clinical assessment settings. Using a sample of 299 elementary school children (M = 8.6 years, sd…
Descriptors: Children, Communication Skills, Pragmatics, Check Lists
Bang, Peter; Strömberg, Maria; Meera, Shoba S.; Igelström, Kajsa – Journal of Autism and Developmental Disorders, 2022
The broad autism phenotype (BAP) is a set of characteristics often observed in typically developing people with a genetic load for autism, such as parents of autistic children. The Broad Autism Phenotypic Questionnaire (BAPQ) is a 36-item questionnaire developed to identify the BAP in first-degree relatives of autistic people. We translated the…
Descriptors: Autism Spectrum Disorders, Disability Identification, Symptoms (Individual Disorders), Psychometrics
Jang, Yeonju; Choi, Seongyune; Kim, Hyeoncheol – Education and Information Technologies, 2022
As artificial intelligence (AI) becomes more prevalent, so does the interest in AI ethics. To address issues related to AI ethics, many government agencies, non-governmental organizations (NGOs), and corporations have published AI ethics guidelines. However, only a few test instruments have been developed to assess students' attitudes toward AI…
Descriptors: Artificial Intelligence, Ethics, Test Construction, Student Attitudes
Cheng, Ying; Shao, Can – Educational and Psychological Measurement, 2022
Computer-based and web-based testing have become increasingly popular in recent years. Their popularity has dramatically expanded the availability of response time data. Compared to the conventional item response data that are often dichotomous or polytomous, response time has the advantage of being continuous and can be collected in an…
Descriptors: Reaction Time, Test Wiseness, Computer Assisted Testing, Simulation
Merino, Laura; Martínez-Pampliega, Ana – International Journal of Social Research Methodology, 2022
The main aim of this study is to build a new observational coding system for sibling interactions (Sistema de Codificación de Interacciones entre Hermanos -- SCIH) and to analyze its psychometric properties and validity. First, this study offers the first Spanish adaptation of a self-report questionnaire to measure sibling relationships that…
Descriptors: Test Construction, Psychometrics, Observation, Coding
Xue Zhang; Chun Wang – Grantee Submission, 2022
Item-level fit analysis not only serves as a complementary check to global fit analysis, it is also essential in scale development because the fit results will guide item revision and/or deletion (Liu & Maydeu-Olivares, 2014). During data collection, missing response data may likely happen due to various reasons. Chi-square-based item fit…
Descriptors: Goodness of Fit, Item Response Theory, Scores, Test Length
Leach, Stephen Michael – ProQuest LLC, 2022
School climate is increasingly recognized by scholars and policymakers as a crucial factor associated with students' educational experiences. Hence, practitioners endeavor to equitably measure and improve school climate to promote favorable student academic and behavior outcomes. Unfortunately, school climate research is fragmented, and a…
Descriptors: Psychometrics, School Surveys, Student Surveys, Middle School Students
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
Lessard, Anne; Lopez, Amanda; Diallo, Thierno – McGill Journal of Education, 2022
The purpose of this study is to explore the psychometric properties of the French version of the Student Engagement Instrument in order to perform a cross-cultural validation of its factorial structure, based on a sample of 919 French Canadian high school students. Results confirm the reliability of the instrument with good internal consistency…
Descriptors: Foreign Countries, Learner Engagement, French, French Canadians
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring
S. Andrew Garbacz; Caleb Flack; Qi Huang; Anne Bowen; Elizabeth A. Stormshak; Laura Lee McIntyre – Grantee Submission, 2025
The purpose of this study was to examine the psychometric properties of the parent-report Short Form Positive Family Support Strengths and Needs Assessment (PFS-SaNA). The PFS-SaNA is designed to reduce the time and burden of collaborative mental health screening. Parents of 245 students in the Northwest completed the screener at third, fourth,…
Descriptors: Family Programs, Mental Health, Parents, Elementary School Students
S. Andrew Garbacz; Caleb Flack; Qi Huang; Anne Bowen; Elizabeth A. Stormshak; Laura Lee McIntyre – Assessment for Effective Intervention, 2025
The purpose of this study was to examine the psychometric properties of the parent-report short form of the Positive Family Support Strengths and Needs Assessment (PFS-SaNA). The PFS-SaNA is designed to reduce the time and burden of collaborative mental health screening. Parents of 245 students in the U.S. Northwest completed the screener at…
Descriptors: Family Programs, Mental Health, Parents, Elementary School Students
Kaj Sparle Christensen; Ole Jakob Storebø; Bo Bach – Journal of Attention Disorders, 2025
Objective: This study examines the validity of the ASRS-5 as a new screening tool for ADHD and evaluates its proposed screening cut-off in a general population context. Method: A nationally representative sample of 2,002 individuals aged 18 to 80 years was surveyed using the ASRS-5, with complete data obtained from 714 participants. Psychometric…
Descriptors: Foreign Countries, Construct Validity, Psychometrics, Item Analysis

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