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Tipton, Elizabeth; Olsen, Robert B. – National Center for Education Evaluation and Regional Assistance, 2022
This guide will help researchers design and implement impact studies in education so that the findings are more generalizable to the study's target population. Guidance is provided on key steps that researchers can take, including defining the target population, selecting a sample of schools--and replacement schools, when needed--managing school…
Descriptors: Outcome Measures, Evaluators, Educational Researchers, Educational Research
Cajka, James; Amer, Safaa; Ridenhour, Jamie; Allpress, Justine – International Journal of Social Research Methodology, 2018
RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km[superscript 2]…
Descriptors: Sampling, Developing Nations, Probability, Cross Cultural Studies
Nayci, Omer – Turkish Online Journal of Distance Education, 2021
In this research, it is aimed to examine the graduate theses done about flipped classroom model in Turkey according to some variables. The data of this descriptive study which was conducted by a qualitative research approach was obtained from 105 master's and doctoral theses accessed from CoHE National Thesis Center database. The data were…
Descriptors: Foreign Countries, Flipped Classroom, Graduate Study, Masters Theses
Dogan, C. Deha – Eurasian Journal of Educational Research, 2017
Background: Most of the studies in academic journals use p values to represent statistical significance. However, this is not a good indicator of practical significance. Although confidence intervals provide information about the precision of point estimation, they are, unfortunately, rarely used. The infrequent use of confidence intervals might…
Descriptors: Sampling, Statistical Inference, Periodicals, Intervals
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
King, Joe P.; Hernandez, Jose M.; Lott, Joe L., II – New Directions for Institutional Research, 2012
Multilevel modeling (MLM) gives researchers the ability to make inferences about organizations where nesting factors will bias results and the assumption of independence is not tenable. This article provides an overview of the variety of data sources that lend themselves to conducting institutional research (IR). It not only serves as a repository…
Descriptors: Institutional Research, Computer Software, Data Analysis, Inferences
Wilder, Esther Isabelle – Teaching Sociology, 2010
Quantitative and computer literacy are increasingly recognized as core components of a liberal education in sociology. This study draws on student, faculty, and alumni questionnaires to identify the kinds of quantitative literacy skills that are perceived to be most critical for students enrolled in sociology courses. Respondents at Lehman College…
Descriptors: Feedback (Response), Alumni, Sociology, Data Analysis
Brese, Falk, Ed.; Carstens, Ralph, Ed. – International Association for the Evaluation of Educational Achievement, 2009
To support and promote secondary analyses, the International Association for the Evaluation of Educational Achievement (IEA) is making the SITES 2006 international database and accompanying User Guide available to researchers, analysts, and public users. The database comprises national contexts and school- and teacher-level data from 23 education…
Descriptors: Academic Achievement, Questionnaires, Information Technology, Educational Technology
Moen, David H.; Powell, John E. – American Journal of Business Education, 2008
Using Microsoft® Excel, several interactive, computerized learning modules are developed to illustrate the Central Limit Theorem's appropriateness for comparing the difference between the means of any two populations. These modules are used in the classroom to enhance the comprehension of this theorem as well as the concepts that provide the…
Descriptors: Learning Modules, Computer Simulation, Classroom Techniques, Concept Teaching
Roschelle, Jeremy; Tatar, Deborah; Hedges, Larry; Shechtman, Nicole – Society for Research on Educational Effectiveness, 2010
One purpose of educational research is to provide information about the likely impact of interventions or treatments on policy-relevant populations of students. Randomized experiments are useful for estimating the causal effects of interventions on the students in schools that participate in the experiments. Unfortunately, the samples of schools…
Descriptors: African Americans, Middle Schools, Educational Research, Scaling
Yeany, Russell H. – 1985
Present research connected with computer-based instruction indicates that many investigators rely on conventional experimental design and data analysis to address the research question. Although this is appropriate in many cases, the limits of hard and software resources and sample size in other cases have made conventional approaches a poor…
Descriptors: Computer Assisted Instruction, Computer Software, Educational Research, Research Design
Cook, Tony; Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which introduces survey and sampling techniques by pretending that the user is a pollster asking one of six questions of a more or less political nature. Documentation and performance are rated fair while ease of use is considered excellent. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Higher Education, Research Methodology
Mittag, Kathleen Cage – 1992
A pivotal theorem which is of critical importance to statistical inference in probability and statistics is the Central Limit Theorem (CLT). The theorem concerns the sampling distribution of random samples taken from a population, including population distributions that do not have to be normal distributions. This paper contains a brief history of…
Descriptors: Calculators, Computer Software, Higher Education, Hypermedia
Roberts, William L. – 1993
Although videotape is the preferred method for recording behavior, there are many natural settings in which it is impractical or too intrusive. The ability to collect data in such settings and in real time has been enhanced by the advent of light, powerful laptop computers. This poster (with paper) describes a set of eight programs (developed in…
Descriptors: Behavior Patterns, Coding, Computer Software, Data Collection
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