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Doran, Elizabeth; Reid, Natalie; Bernstein, Sara; Nguyen, Tutrang; Dang, Myley; Li, Ann; Kopack Klein, Ashley; Rakibullah, Sharika; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
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Bartz, Albert E.; Wenstrom, Lisa – Teaching of Psychology, 1981
The purpose of this survey was to identify the statistics texts most frequently used by psychology departments and to see if a typical survey of textbooks used by a partial sample of psychology departments would be accurate in describing the entire sample of departments. Partial returns resulted in a meaningful error. (RM)
Descriptors: Error of Measurement, Evaluation, Higher Education, Psychology
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Humphreys, Lloyd G.; And Others – Applied Psychological Measurement, 1993
Two articles discuss the controversy about the relationship between reliability and the power of significance tests in response to the discussion of Donald W. Zimmerman, Richard H. Williams, and Bruno D. Zumbo. Lloyd G. Humphreys emphasizes the differences between what statisticians can do and constraints on researchers. Zimmerman, Williams, and…
Descriptors: Error of Measurement, Individual Differences, Power (Statistics), Research Methodology
Blai, Boris, Jr. – 1971
Statistics are an essential tool for making proper judgement decisions. It is concerned with probability distribution models, testing of hypotheses, significance tests and other means of determining the correctness of deductions and the most likely outcome of decisions. Measures of central tendency include the mean, median and mode. A second…
Descriptors: Analysis of Variance, Correlation, Error of Measurement, Hypothesis Testing
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McMorris, Robert F. – 1971
The extent of error likely to occur with each of several approximations for the standard deviation, internal consistency reliability, and the standard error of measurement is analyzed. Approximations were compared with exact statistics obtained on 85 different classroom tests constructed and administered by professors in a variety of fields. Means…
Descriptors: Data Analysis, Error of Measurement, Evaluation Methods, Item Analysis
Helberg, Clay – 1996
Abuses and misuses of statistics are frequent. This digest attempts to warn against these in three broad classes of pitfalls: sources of bias, errors of methodology, and misinterpretation of results. Sources of bias are conditions or circumstances that affect the external validity of statistical results. In order for a researcher to make…
Descriptors: Causal Models, Comparative Analysis, Data Analysis, Error of Measurement
Werts, Charles E.; Linn, Robert L. – 1972
The objective of this study was to review and integrate the various methodologies used in the study of individual growth (especially academic growth). This was accomplished by means of Joreskog's general model for the analysis of covariance structures, i.e., each of the disparate methodologies available from the literature was shown to be a…
Descriptors: Academic Achievement, Analysis of Covariance, Educational Research, Error of Measurement