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McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
Zamarro, Gema; Anderson, Kaitlin; Steele, Jennifer; Miller, Trey – Society for Research on Educational Effectiveness, 2016
The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…
Descriptors: Data Analysis, Student Attrition, Evaluation Methods, Evaluation Research
Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2012
Statistical modeling of school effectiveness data was originally motivated by the dissatisfaction with the analysis of (school-leaving) examination results that took no account of the background of the students or regarded each school as an isolated unit of analysis. The application of multilevel analysis was generally regarded as a breakthrough,…
Descriptors: School Effectiveness, Data Analysis, Statistical Analysis, Statistical Studies
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research
Green, Jennifer L. – ProQuest LLC, 2010
Value-added modeling is an alternative approach to test-based accountability systems based on the proportions of students scoring at or above pre-determined proficiency levels. Value-added modeling techniques provide opportunities to estimate an individual teacher's effect on student learning, while allowing for the possibility to control for the…
Descriptors: Simulation, Scoring, Psychometrics, Data Analysis
Coad, Jane; Evans, Ruth – Children & Society, 2008
This article reflects on key methodological issues emerging from children and young people's involvement in data analysis processes. We outline a pragmatic framework illustrating different approaches to engaging children, using two case studies of children's experiences of participating in data analysis. The article highlights methods of…
Descriptors: Research Methodology, Young Adults, Data Analysis, Participative Decision Making
Peer reviewedRamsey, Philip H. – Journal of Educational Statistics, 1982
Monte Carlo results were used to evaluate procedures for discriminating between groups. A multiple testing version of Hotelling's T-squared and the Bonferroni procedure were most powerful for detecting at least one true difference, depending on conditions examined. A multiple Bonferroni procedure was superior in power for detecting all true…
Descriptors: Data Analysis, Educational Research, Evaluation Methods, Monte Carlo Methods
Blumberg, Carol Joyce – 1989
A subset of Statistical Process Control (SPC) methodology known as Control Charting is introduced. SPC methodology is a collection of graphical and inferential statistics techniques used to study the progress of phenomena over time. The types of control charts covered are the null X (mean), R (Range), X (individual observations), MR (moving…
Descriptors: Charts, Data Analysis, Educational Research, Evaluation Methods
Hazlett, James A. – 1971
James A. Hazlett, NAEP Administrative Director, discusses the National Assessment program as an accountability tool. The strengths and weaknesses of the program as an evaluative method in the cognitive areas are discussed at length. (MPJ) Aspect of National Assessment (NAEP) dealt with in this document: Program Description (Historical Background).
Descriptors: Accountability, Data Analysis, Educational Assessment, Elementary Secondary Education
Skuza, Pawel Piotr – International Education Journal, 2006
One of the issues facing educational research workers today is the determination of the similarities and differences between countries and cultures in the factors that influence educational outcomes. The author of this article proposes a new approach to this problem. Usually when countries are compared, the complete student samples are taken into…
Descriptors: Educational Research, Comparative Education, Data Analysis, Student Characteristics
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Bernstein, Lawrence; Burstein, Nancy – 1994
The inherent methodological problem in conducting research at multiple sites is how to best derive an overall estimate of program impact across multiple sites, best being the estimate that minimizes the mean square error, that is, the square of the difference between the observed and true values. An empirical example illustrates the use of the…
Descriptors: Bias, Comprehensive Programs, Data Analysis, Data Collection
United Nations Educational, Scientific, and Cultural Organization, Paris (France). – 1972
A series of methods and techniques for measuring educational wastage are presented step-by-step. Some considerations on the conceptual framework of this problem in statistical terms are presented, and tentative definitions for certain terms are also given. Examples taken from published material and recent surveys showing the extent of grade…
Descriptors: Bibliographies, Case Studies, Data Analysis, Dropouts
Keeves, John P.; Lietz, Petra; Gregory, Kelvin; Darmawan, I Gusti Ngurah – International Education Journal, 2006
In this lead article three emergent problems in the analysis of cross-national survey data are raised in a context of 40 years of research and development in a field where persistent problems have arisen and where scholars across the world have sought solutions. Anomalous results have been found from secondary data analyses that would appear to…
Descriptors: Research and Development, Academic Achievement, Computation, National Surveys
Grembowski, David – 1986
This guide is intended to assist states and service delivery areas (SDAs) in addressing the new oversight responsibilities and opportunities stipulated by the Job Training Partnership Act (JTPA) with respect to management information system (MIS) issues in evaluating JTPA programs. The first chapter discusses the general requirements of a JTPA MIS…
Descriptors: Computer Oriented Programs, Computer Software, Data Analysis, Data Processing

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