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Peer reviewed
Direct linkHoldershaw, Judith; Melnyk, Valentyna; Gendall, Philip; Wright, Malcolm – International Journal of Social Research Methodology, 2018
Despite years of refinement and improvement to questionnaire design, the need remains to identify effective, but 'user-friendly' questioning procedures to predict behaviour, without compromising predictive performance. Questionnaires developed to predict behaviour typically use an attitudinal approach. However, those types of questionnaires are…
Descriptors: Behavior Theories, Predictor Variables, Comparative Analysis, College Students
Moltafet, Ghavam; Sadati Firoozabadi, Somayeh Sadat; Pour-Raisi, Asieh – Creativity Research Journal, 2018
This study examined the relationship between parental styles and emotional creativity and investigated the mediating role of the fulfillment of basic psychological needs in this relationship. The population included 3372 undergraduate students, among whom, 375 (177 females and 198 males) were selected by multi-stage cluster sampling method. The…
Descriptors: Path Analysis, Creativity, Emotional Development, Psychological Needs
Tu, Yangjun; Wang, Juanjuan; Yao, Limin – Journal of Psychoeducational Assessment, 2019
This study details the development of the "Classroom Touch Concern Scale" (CTC), which was designed to measure individual differences among teachers regarding their feelings of concern when touching students in the classroom. The CTC incorporates two correlated dimensions: CTC associated with touching students of the same gender and CTC…
Descriptors: Likert Scales, Teacher Student Relationship, Nonverbal Communication, Tactual Perception
Download full textLane, 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
Galla, Brian M.; Shulman, Elizabeth P.; Plummer, Benjamin D.; Gardner, Margo; Hutt, Stephen J.; Goyer, J. Parker; D'Mello, Sidney K.; Finn, Amy S.; Duckworth, Angela L. – American Educational Research Journal, 2019
Compared with admissions test scores, why are high school grades better at predicting college graduation? We argue that success in college requires not only cognitive ability but also self-regulatory competencies that are better indexed by high school grades. In a national sample of 47,303 students who applied to college for the 2009/2010 academic…
Descriptors: Grades (Scholastic), Predictor Variables, Time to Degree, Scores
Douglass, John Aubrey – Center for Studies in Higher Education, 2019
The following essay details a debate between UC Berkeley and a Regent who made charges of discrimination against Asian American students that are similar to the current legal challenges facing Harvard University. The crux of such charges: on average, that one racial or ethnic group is more "qualified" than other groups, often…
Descriptors: College Admission, College Entrance Examinations, Standardized Tests, Politics of Education
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
Shipman, Barbara A. – Teaching Mathematics and Its Applications, 2016
Mathematical conjectures and theorems are most often of the form P(x) ? Q(x), meaning ?x,P(x) ? Q(x). The hidden quantifier ?x is crucial in understanding the implication as a statement with a truth value. Here P(x) and Q(x) alone are only predicates, without truth values, since they contain unquantified variables. But standard textbook…
Descriptors: Mathematics, Mathematics Instruction, Mathematical Concepts, Mathematical Logic
Alkushi, Abdulmohsen; Althewini, Abdulaziz – International Education Studies, 2020
Admission criteria can be used to predict Saudi student performance in college, but significant differences across several studies exists. This study explores the predictive power of admission criteria for college assignment using King Saud bin Abdulaziz University for Health Sciences as a model. Scores from high school and standardized tests were…
Descriptors: Predictive Validity, Admission Criteria, College Admission, Grades (Scholastic)
Alt, Dorit; Alt, Nir; Hadar-Frumer, Merav – Learning Environments Research, 2020
Case-based Learning (CBL) is perceived as an effective pedagogical approach to improving students' ability to transfer knowledge, concepts and skills learned in schools to real-life contexts This study offers a new instrument that captures students' perceptions of CBL skills and their ability to transfer the knowledge and skills that they acquire…
Descriptors: Case Method (Teaching Technique), Student Attitudes, Transfer of Training, Student Evaluation
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
Tadesse, Tefera; Gillies, Robyn M. – Australian Journal of Career Development, 2017
This study examined a modified version of the Student Engagement Scale, as adopted from the Australasian Survey of Student Engagement. It did so through examining model fit, predictive validity of the engagement factor, and testing of score reliability and measurement invariance across colleges and class years. Participants were volunteer…
Descriptors: Foreign Countries, Learner Engagement, Measures (Individuals), Robustness (Statistics)
Machingambi, Zadzisai – Journal of Education and Practice, 2017
The principal focus of this study was to undertake a multilevel assessment of the predictive validity of teacher made tests in the Zimbabwean primary education sector. A correlational research design was adopted for the study, mainly to allow for statistical treatment of data and subsequent classical hypotheses testing using the spearman's rho.…
Descriptors: Predictive Validity, Elementary School Teachers, Teacher Developed Materials, Correlation
Mattern, Krista; Sanchez, Edgar; Ndum, Edwin – Educational Measurement: Issues and Practice, 2017
In the context of college admissions, the current study examined whether differential prediction of first-year grade point average (FYGPA) by gender could be explained by an omitted variable problem--namely, academic discipline, or the amount of effort a student puts into schoolwork and the degree to which a student sees him/herself as hardworking…
Descriptors: Females, Academic Achievement, Predictive Validity, Grade Point Average
Jobes, Tammy L. Kester Engel – ProQuest LLC, 2017
Healthcare administration is a complex, multifaceted career path that requires constant adaptation and integration of external guidance. Organizations seeking the most qualified and skilled candidates draw from a multitude of applicants without having a single potential success indicator. The lack of a standard educational background,…
Descriptors: Health Services, Certification, Career Readiness, Administrators
