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Gemici, Sinan; Rojewski, Jay W.; Lee, In Heok – Career and Technical Education Research, 2012
Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…
Descriptors: Research Methodology, Statistical Analysis, Data Collection, Pattern Recognition
Gee, Kevin A. – American Journal of Evaluation, 2014
The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Shannon, Lisa M.; Walker, Robert; Blevins, Michele – Evaluation and Program Planning, 2009
This paper presents information on re-developing an outcome evaluation for a state-funded program providing service coordination utilizing wraparound to youth with severe emotional disturbance (SED) and their families. Originally funded by the Robert Wood Johnson Foundation, the Kentucky IMPACT program has existed statewide since 1990. Changing…
Descriptors: Emotional Disturbances, Data Collection, Evaluation Methods, Severe Disabilities
Krejcie, Robert V.; Morgan, Daryle W. – Educ Psychol Meas, 1970
A formula for determining sample size, which originally appeared in 1960, has lacked a table for easy reference. This article supplies a graph of the function and a table of values which permits easy determination of the size of sample needed to be representative of a given population. (DG)
Descriptors: Data Collection, Research Methodology, Sampling, Statistical Analysis
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit
Jackson, Donald A.; And Others – 1975
A self-instructional book covers ten steps toward development of a behavior observation system. Units describe how to interpret graphs, convert information from table to graph form, put collected data into a table, compute the reliability of observational data, make observations with four recording methods, construct an observational system,…
Descriptors: Autoinstructional Aids, Behavior Patterns, Behavior Rating Scales, Data Collection
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
Peer reviewedNeale, Michael C.; And Others – Multivariate Behavioral Research, 1994
In studies of relatives, conventional multiple regression may not be appropriate because observations are not independent. Obtaining estimates of regression coefficients and correct standard errors from these populations through a structural equation modeling framework is discussed and illustrated with data from twins. (SLD)
Descriptors: Analysis of Covariance, Causal Models, Data Collection, Error of Measurement
Whitener, Summer; And Others – 1994
The 1991-92 Teacher Followup Survey (TFS) updates information on teacher career patterns and plans from the 1990-91 Schools and Staffing Survey (SASS) of the National Center for Education Statistics. The TFS is the fifth component of the SASS and focuses on a subsample of about 7,200 teachers. Major objectives are to determine (1) the attrition…
Descriptors: Career Development, Data Analysis, Data Collection, Elementary Secondary Education
Johnson, Eugene G.; And Others – 1994
The 1992 National Assessment of Educational Progress (NAEP) monitored the performance of students in American schools in reading, mathematics, science, and writing. The sample consisted of more than 145,000 public and private school students in grades 4, 8, 11, and 12. This technical report provides details of instrument development, sample…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Assessment

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