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Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
Quirk, Matthew; Dowdy, Erin; Dever, Bridget; Carnazzo, Katherine; Bolton, Courtney – Journal of Psychoeducational Assessment, 2018
Researchers examined the concurrent and predictive validity of a brief (12-item) teacher-rated school readiness screener, the Kindergarten Student Entrance Profile (KSEP), using receiver operating characteristic (ROC) curve analysis to examine associations between (N = 78) children's social-emotional (SE) and cognitive (COG) readiness with…
Descriptors: School Readiness, Educational Diagnosis, Screening Tests, Predictive Validity
Roche, Thomas; Harrington, Michael – Journal of Further and Higher Education, 2018
English language programmes provide established pathways for international students seeking university admission in countries such as Australia and the United Kingdom. In order to refer international applicants to appropriate levels and durations of English language support prior to matriculation into their main course of study, pathway providers…
Descriptors: Student Placement, College Admission, College Students, Foreign Students
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Park, Eunkyoung; Dooris, John – Assessment & Evaluation in Higher Education, 2020
This study uses decision tree analysis to determine the most important variables that predict high overall teaching and course scores on a student evaluation of teaching (SET) instrument at a large public research university in the United States. Decision tree analysis is a more robust and intuitive approach for analysing and interpreting SET…
Descriptors: Predictor Variables, Student Evaluation of Teacher Performance, Decision Making, Statistical Analysis
Weerasinghe, I. M. S.; Fernando, R. L. S. – Quality Assurance in Education: An International Perspective, 2018
Purpose: The purpose of this study is to explain critical factors affecting student satisfaction levels in selected state universities in Sri Lanka. Design/methodology/approach: The study has applied an quantitative survey design guided by six hypotheses. A conceptual framework has been developed to address the research questions on the basis of a…
Descriptors: Foreign Countries, Student Satisfaction, Hypothesis Testing, Undergraduate Students
Al-Hoorie, Ali H.; Vitta, Joseph P. – Language Teaching Research, 2019
This report presents a review of the statistical practices of 30 journals representative of the second language field. A review of 150 articles showed a number of prevalent statistical violations including incomplete reporting of reliability, validity, non-significant results, effect sizes, and assumption checks as well as making inferences from…
Descriptors: Periodicals, Second Language Learning, Second Language Instruction, Reliability
O'Donnell, Maeve B.; Shirley, Lauren A.; Park, Stacey S.; Nolen, Julian P.; Gibbons, Alyssa M.; Rosén, Lee A. – Journal of College Student Development, 2018
Several instruments exist to measure college adjustment: the Student Adaptation to College Questionnaire (SACQ; Baker & Siryk, 1989), the College Adjustment Rating Scale (Zitzow, 1984), and the College Adjustment Scales (Anton & Reed, 1991). Of these, the SACQ is the most widely used and takes a multifaceted approach to measuring college…
Descriptors: Student Adjustment, College Students, Measures (Individuals), Questionnaires
Mahar, Matthew T.; Welk, Gregory J.; Rowe, David A. – Measurement in Physical Education and Exercise Science, 2018
Purpose: To develop models to estimate aerobic fitness (VO[subscript 2]max) from PACER performance in 10- to 18-year-old youth, with and without body mass index (BMI) as a predictor. Method: Youth (N = 280) completed the PACER and a maximal treadmill test to assess VO[subscript 2]max. Validation and cross-validation groups were randomly formed to…
Descriptors: Exercise, Physical Fitness, Preadolescents, Adolescents
McGill, Ryan J.; Busse, R. T. – School Psychology Quarterly, 2015
This study is an examination of the incremental validity of Cattell-Horn-Carroll (CHC) broad clusters from the Woodcock-Johnson III Tests of Cognitive Abilities (WJ III COG) for predicting scores on the Woodcock-Johnson III Tests of Achievement (WJ III ACH). The participants were children and adolescents, ages 6-18 (n = 4,722), drawn from the WJ…
Descriptors: Cognitive Ability, Cognitive Tests, Test Validity, Predictor Variables
Kincy, Natalie; Fuhrman, Nicholas E.; Navarro, Maria; Knauft, David – Applied Environmental Education and Communication, 2016
A quantitative survey, built around the theory of planned behavior, was used to investigate elementary teachers' attitudes, school norms, perceived behavioral control, and intent in both current and ideal teaching situations toward using gardens in their curriculum. With positive school norms and teachers who garden in their personal time, 77% of…
Descriptors: Case Studies, Predictive Validity, Predictor Variables, Statistical Analysis
Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
The Comparison of Differential Item Functioning Predicted through Experts and Statistical Techniques
Dogan, Nuri; Hambleton, Ronald K.; Yurtcu, Meltem; Yavuz, Sinan – Cypriot Journal of Educational Sciences, 2018
Validity is one of the psychometric properties of the achievement tests. To determine the validity, one of the examination is item bias studies, which are based on differential item functioning (DIF) analyses and field experts' opinion. In this study, field experts were asked to estimate the DIF levels of the items to compare the estimations…
Descriptors: Test Bias, Comparative Analysis, Predictor Variables, Statistical Analysis
Quigg, Robin; Gray, Andrew; Reeder, Anthony Ivor; Holt, Alec; Waters, Debra L. – Health Education & Behavior, 2015
Socioecological theory suggests that there are a range of influences that affect the physical activity levels of children, including parents' perceptions of the neighborhood. A questionnaire instrument to quantify parental neighborhood perceptions was developed for the Location of Children's Activity in Their Environment study as a potential…
Descriptors: Parent Attitudes, Physical Activity Level, Content Validity, Pilot Projects
Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M. – Grantee Submission, 2016
Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…
Descriptors: Psychology, Measurement, Error of Measurement, Measurement Objectives