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Showing 1 to 15 of 96 results Save | Export
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Haberman, Shelby J. – ETS Research Report Series, 2019
Cross-validation is a common statistical procedure applied to problems that are otherwise computationally intractable. It is often employed to assess the effectiveness of prediction procedures. In this report, cross-validation is discussed in terms of "U"-statistics. This approach permits consideration of the statistical properties of…
Descriptors: Statistical Analysis, Generalization, Prediction, Computation
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Corrigan, Matthew J.; Forte, James; Bulgaris, Sarah – Journal of Alcohol and Drug Education, 2017
The purpose of this replication study is to test the validity of the Adolescent Domain Screening Inventory (ADSI) on an older adolescent population. This cross sectional study used a convenience sample to preliminarily test the validity of the ADSI. Concurrent validity correlations ranged from a high of 0.924 to a low of 0.760. The known…
Descriptors: Screening Tests, Construct Validity, Correlation, Case Studies
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
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Ling, Jiying; Robbins, Lorraine B. – Journal of School Nursing, 2017
The purpose of this study was to evaluate the psychometric properties of a Perceived Benefits Scale, a Perceived Barriers Scale, and a Physical Activity Enjoyment Scale with data from a group randomized controlled trial (RCT) and a test-retest study with 1-week interval. In the group RCT at baseline and Week 17, 1,012 fifth- to eighth-grade girls…
Descriptors: Psychometrics, Females, Physical Activity Level, Randomized Controlled Trials
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Montoye, Alexander H. K.; Conger, Scott A.; Connolly, Christopher P.; Imboden, Mary T.; Nelson, M. Benjamin; Bock, Josh M.; Kaminsky, Leonard A. – Measurement in Physical Education and Exercise Science, 2017
This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…
Descriptors: Validity, Electronic Equipment, Prediction, Physical Activity Level
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Hinterecker, Thomas; Knauff, Markus; Johnson-Laird, P. N. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
We report 3 experiments investigating novel sorts of inference, such as: A or B or both. Therefore, possibly (A and B). Where the contents were sensible assertions, for example, "Space tourism will achieve widespread popularity in the next 50 years or advances in material science will lead to the development of antigravity materials in the…
Descriptors: Models, Probability, Inferences, Logical Thinking
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Yalçin, S. Barbaros – Universal Journal of Educational Research, 2018
The purpose of this research is to determine whether prospective teachers' spiritual expressions have predicted their mindfulness. The research was conducted in relational screening model. The study group consisted of 411 students (81.2%) females and 94 (18.6%) males, totally 505 undergraduate students who are studying in the last year and who…
Descriptors: Preservice Teachers, Foreign Countries, Undergraduate Students, Prediction
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Fernández Faúndez, Eva María – Electronic Journal of Research in Educational Psychology, 2018
Introduction: The focus of our research converges on the analysis of attitudes and the prediction of the behavior of university students towards the inclusion of students with disabilities in university. The evaluation of attitudes and the prediction of behavior are complex, but it is fundamental because of the decisive impact they have on the…
Descriptors: Disabilities, Student Attitudes, College Students, Inclusion
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Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
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Larbi-Apau, Josephine A.; Guerra-Lopez, Ingrid; Moseley, James L.; Spannaus, Timothy; Yaprak, Attila – Journal of Educational Technology Systems, 2017
The study examined teaching faculty's educational technology-related performances (ETRP) as a measure for predicting eLearning management in Ghana. A total of valid data (n = 164) were collected and analyzed on applied ISTE-NETS-T Performance Standards using descriptive and ANOVA statistics. Results showed an overall moderate performance with the…
Descriptors: College Faculty, Educational Technology, Technology Uses in Education, Foreign Countries
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Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
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Waddell, Jennifer H.; Marszalek, Jacob M. – Education Policy Analysis Archives, 2018
In urban schools, along with skills for effective teaching, successful teachers must also possess values and belief systems conducive to teaching effectively in diverse settings (Becker, Kennedy, & Hundersmarck, 2003; Haberman, 2008; Metzgar & Wu, 2008). As demonstrated in CAEP standard 3, there is a critical need for EPPs to admit…
Descriptors: Urban Education, Teacher Education Programs, Student Attitudes, Interrater Reliability
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Amiryousefi, Mohammad – Innovation in Language Learning and Teaching, 2018
This study investigated how well interest and motives to communicate with the instructor (MCI) predict L2 willingness to communicate (WTC) and L2 speaking among English as a foreign language (EFL) learners, and tested whether these variables predict L2 WTC and speaking differently across different age and sex groups. It also examined whether there…
Descriptors: Second Language Learning, Age Differences, Gender Differences, Prediction
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Corrigan, Matthew J. – Journal of Alcohol and Drug Education, 2017
This study sought to develop a short version of the ADSI, and investigate its psychometric properties. Methods: This is a secondary analysis. Analysis to determine the Cronbach's Alpha, correlations to determine concurrent criterion validity and known instrument validity and a logistic regression to determine predictive validity were conducted.…
Descriptors: Psychometrics, Correlation, Screening Tests, Statistical Analysis
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Severson, Rachel L.; Lemm, Kristi M. – Journal of Cognition and Development, 2016
The study of anthropomorphism in adults has received considerable interest with the development of the Individual Differences in Anthropomorphism Questionnaire (IDAQ; Waytz, Cacioppo, & Epley, 2010). Anthropomorphism in children--its development, correlates, and consequences--is also of significant interest, yet a comparable measure does not…
Descriptors: Individual Differences, Measures (Individuals), Questionnaires, Comparative Analysis
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