NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Aid to Families with…1
What Works Clearinghouse Rating
Does not meet standards2
Showing 226 to 240 of 286 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Bliss, Carolyn; Webb, Jeff; St. Andre, Mark – Journal of General Education, 2012
This article reports the results of a quantitative matching study investigating the impact on first-year students of a two-semester learning community. Results indicate a statistically significant association between LEAP participation and academic performance measured by retention, GPA, and time to graduation. Participation was associated with…
Descriptors: Grade Point Average, Academic Achievement, Program Effectiveness, Program Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Laumakis, Paul – Mathematics Teacher, 2011
When taking mathematics courses, students will sometimes ask their recurring question, "When will I ever use this in real life?" Educators are often unable to provide a direct connection between what they are teaching in the classroom and a real-life application. However, when such an opportunity does arise, they should seize it and…
Descriptors: Regression (Statistics), Mathematics Instruction, Mathematics, Mathematics Curriculum
Peer reviewed Peer reviewed
Direct linkDirect link
LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chaudhry, Noureen Asghar; Arif, Manzoor – International Education Studies, 2012
The observational study was conducted to see the impact of teachers' nonverbal behavior on academic achievement of learners. This also investigated the relationship of nonverbal communication of teachers working in different educational institutions. Main objectives of study were to measure nonverbal behavior of teachers' both male and female…
Descriptors: Teacher Behavior, Nonverbal Communication, Academic Achievement, Teacher Influence
Peer reviewed Peer reviewed
Direct linkDirect link
Bakker, Arthur; Kent, Phillip; Derry, Jan; Noss, Richard; Hoyles, Celia – Statistics Education Research Journal, 2008
To characterise statistical inference in the workplace this paper compares a prototypical type of statistical inference at work, statistical process control (SPC), with a type of statistical inference that is better known in educational settings, hypothesis testing. Although there are some similarities between the reasoning structure involved in…
Descriptors: Statistical Inference, Hypothesis Testing, Statistical Analysis, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
LaFleur, Bonnie J.; Greevy, Robert A. – Journal of Clinical Child and Adolescent Psychology, 2009
A resampling-based method of inference--permutation tests--is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of…
Descriptors: Sampling, Statistical Inference, Nonparametric Statistics, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Locatelli, Sara M.; Kluwe, Katharina; Bryant, Fred B. – Journal of Educational Computing Research, 2012
Studies have found that general use of Facebook influences subjective well-being. However, fewer studies have explored the impact of specific use behaviors, such as information posted in status updates. The current study uses data collected from 251 Facebook-using undergraduate students through an online survey, and examines the valence and…
Descriptors: College Students, Web 2.0 Technologies, Web Sites, Social Networks
Peer reviewed Peer reviewed
Direct linkDirect link
Levine, Timothy R.; Weber, Rene; Hullett, Craig; Park, Hee Sun; Lindsey, Lisa L. Massi – Human Communication Research, 2008
Null hypothesis significance testing (NHST) is the most widely accepted and frequently used approach to statistical inference in quantitative communication research. NHST, however, is highly controversial, and several serious problems with the approach have been identified. This paper reviews NHST and the controversy surrounding it. Commonly…
Descriptors: Communication Research, Testing, Statistical Significance, Statistical Inference
Rodriguez Jaime, Luis Francisco – ProQuest LLC, 2013
Little is known about students' perceptions of online enrollment processes. Student satisfaction is part of the assessment required for accreditation, but evidence suggests that college administrators are oriented to retention and graduation rates rather than to consumer perception. The purpose of this descriptive quantitative study was to develop…
Descriptors: Enrollment Trends, Enrollment Influences, Higher Education, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Byrd, Jimmy; Eddy, Colleen – Journal of Educational Administration, 2009
Purpose: The purpose of this study was to review research published by "Journal of Educational Administration (JEA)" and the "Educational Administration Quarterly (EAQ)" over the past ten years to examine the type of research reported and to determine if confidence intervals and effect sizes were being reported as recommended by the American…
Descriptors: Educational Administration, Periodicals, Journal Articles, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Petocz, Peter; Sowey, Eric – Teaching Statistics: An International Journal for Teachers, 2008
In this article, the authors focus on hypothesis testing--that peculiarly statistical way of deciding things. Statistical methods for testing hypotheses were developed in the 1920s and 1930s by some of the most famous statisticians, in particular Ronald Fisher, Jerzy Neyman and Egon Pearson, who laid the foundations of almost all modern methods of…
Descriptors: Hypothesis Testing, Statistical Inference, Statistics, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan, Ke-Hai; Hayashi, Kentaro; Yanagihara, Hirokazu – Multivariate Behavioral Research, 2007
Model evaluation in covariance structure analysis is critical before the results can be trusted. Due to finite sample sizes and unknown distributions of real data, existing conclusions regarding a particular statistic may not be applicable in practice. The bootstrap procedure automatically takes care of the unknown distribution and, for a given…
Descriptors: Multivariate Analysis, Statistical Analysis, Statistical Inference, Matrices
McMillan, James H.; Schumacher, Sally – Pearson, 2010
This substantially revised text provides a comprehensive, highly accessible, and student friendly introduction to the principles, concepts, and methods currently used in educational research. This text provides a balanced combination of quantitative and qualitative methods and enables students to master skills in reading, understanding,…
Descriptors: Educational Research, Inquiry, Evidence Based Practice, Mixed Methods Research
Peer reviewed Peer reviewed
Direct linkDirect link
Pohl, Steffi; Steiner, Peter M.; Eisermann, Jens; Soellner, Renate; Cook, Thomas D. – Educational Evaluation and Policy Analysis, 2009
Adjustment methods such as propensity scores and analysis of covariance are often used for estimating treatment effects in nonexperimental data. Shadish, Clark, and Steiner used a within-study comparison to test how well these adjustments work in practice. They randomly assigned participating students to a randomized or nonrandomized experiment.…
Descriptors: Statistical Analysis, Social Science Research, Statistical Bias, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Ferrin, James M.; Bishop, Malachy; Tansey, Timothy N.; Frain, Michael; Swett, Elizabeth A.; Lane, Frank J. – Rehabilitation Education, 2007
For a number of conceptually and practically important reasons, reporting of effect size estimates, confidence intervals, and power in parameter estimation is increasingly being recognized as the preferred approach in social science research. Unfortunately, this practice has not yet been widely adopted in the rehabilitation or general counseling…
Descriptors: Effect Size, Statistical Analysis, Computation, Rehabilitation
Pages: 1  |  ...  |  10  |  11  |  12  |  13  |  14  |  15  |  16  |  17  |  18  |  19  |  20