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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
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Zhang, Ruofei; Zou, Di; Xie, Haoran; Au, Oliver Tat Sheung; Wang, Fu Lee – Knowledge Management & E-Learning, 2020
This study presents a systematic review of previous research on ebook-based language learning. E-book-based language learning has been increasingly investigated in the field of language education, whereas previous review studies of relevant literature were relatively low in volume and incomprehensive from aspects of research participants and…
Descriptors: Second Language Learning, English (Second Language), Electronic Learning, Handheld Devices
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Inzunsa Cazares, Santiago – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
This article presents the results of a qualitative research with a group of 15 university students of social sciences on informal inferential reasoning developed in a computer environment on concepts involved in the confidence intervals. The results indicate that students developed a correct reasoning about sampling variability and visualized…
Descriptors: Qualitative Research, College Students, Inferences, Logical Thinking
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Giovenco, Daniel P.; Gundersen, Daniel A.; Delnevo, Cristine D. – Journal of American College Health, 2016
Objective: To explore the feasibility of a random-digit dial (RDD) cellular phone survey in order to reach a national and representative sample of college students. Methods: Demographic distributions from the 2011 National Young Adult Health Survey (NYAHS) were benchmarked against enrollment numbers from the Integrated Postsecondary Education…
Descriptors: College Students, Sampling, Sample Size, Comparative Analysis
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James, David E.; Schraw, Gregory; Kuch, Fred – Assessment & Evaluation in Higher Education, 2015
We present an equation, derived from standard statistical theory, that can be used to estimate sampling margin of error for student evaluations of teaching (SETs). We use the equation to examine the effect of sample size, response rates and sample variability on the estimated sampling margin of error, and present results in four tables that allow…
Descriptors: Student Evaluation of Teacher Performance, Sampling, Validity, Statistical Analysis
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Genvieve, Nasimiyu – Journal of Education and Practice, 2017
There has been a concern about the quality of school teachers being prepared at the university especially in pedagogy. The main objective of the study was to investigate the preparation of teacher-trainees in pedagogy in Kenyan universities.The theoretical framework of the study was based on Shulman's concept of pedagogical content knowledge. The…
Descriptors: Teacher Education, Teaching Methods, Questionnaires, Interviews
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Huang, Francis L. – Practical Assessment, Research & Evaluation, 2014
Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Sampling
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
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Canaes, Larissa S.; Brancalion, Marcel L.; Rossi, Adriana V.; Rath, Susanne – Journal of Chemical Education, 2008
A classroom exercise for undergraduate and beginning graduate students that takes about one class period is proposed and discussed. It is an easy, interesting exercise that demonstrates important aspects of sampling techniques (sample amount, particle size, and the representativeness of the sample in relation to the bulk material). The exercise…
Descriptors: College Students, Statistical Data, Sampling, Evaluation
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Anderson, Richard B.; Doherty, Michael E.; Friedrich, Jeff C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
In 4 studies, the authors examined the hypothesis that the structure of the informational environment makes small samples more informative than large ones for drawing inferences about population correlations. The specific purpose of the studies was to test predictions arising from the signal detection simulations of R. B. Anderson, M. E. Doherty,…
Descriptors: Simulation, Statistical Analysis, Inferences, Population Trends
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Benfield, Jacob A.; Szlemko, William J. – Journal of Research Practice, 2006
The use of Internet to aid research practice has become more popular in the recent years. In fact, some believe that Internet surveying and electronic data collection may revolutionize many disciplines by allowing for easier data collection, larger samples, and therefore more representative data. However, others are skeptical of its usability as…
Descriptors: Research Methodology, Sampling, Internet, Ethics
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Koslowski, Barbara; And Others – Child Development, 1989
Investigates the role of causal mechanism, sampling method, and sample size in causal reasoning of 216 sixth and ninth grade and college students. Subjects did not base judgments solely on covariation. Age differences were negligible when covariation was absent and striking when covariation was present. (RJC)
Descriptors: Age Differences, College Students, Elementary School Students, Elementary Secondary Education
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Pratt, Daniel J.; And Others – 1996
This document provides a summary and evaluation of the methodological procedures and results of the full-scale implementation of the Beginning Postsecondary Student Longitudinal Study Second Follow-up, 1990-94 (BPS:90/94). The study was conducted for the National Center for Education Statistics by Research Triangle Institute with the assistance of…
Descriptors: College Students, Data Collection, Estimation (Mathematics), Followup Studies
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Lipson, Kay – Mathematics Education Research Journal, 2003
Many statistics educators believe that few students develop the level of conceptual understanding essential for them to apply correctly the statistical techniques at their disposal and to interpret their outcomes appropriately. It is also commonly believed that the sampling distribution plays an important role in developing this understanding.…
Descriptors: Statistical Inference, Learning Strategies, Sampling, Statistics
Riccobono, John A.; Whitmore, Roy W.; Gabel, Timothy J.; Traccarella, Mark A.; Pratt, Daniel J.; Berkner, Lutz K.; Malizio, Andrew G. – 1997
This report describes the methods and procedures used for the 1996 National Postsecondary Student Aid Study (NPSAS:96). NPSAS:96, which surveyed over 830 postsecondary education institutions and over 34,000 students and parents, included important changes from previous NPSAS studies conducted in 1987, 1990, and 1993 in its sample design and data…
Descriptors: College Students, Colleges, Data Analysis, Data Collection
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