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Swaby, Antoneal N.; Morgan, Kai A. D. – Journal of Child Sexual Abuse, 2009
This study examined the associations between early traumatic sexualization and later sexual dysfunction in a sample of 100 Jamaican adults while identifying the linkages between age, frequency of abuse, and gender on sexual functioning. Participants were selected via purposive and convenience sampling and divided equally into comparison and…
Descriptors: Experimental Groups, Sexual Abuse, Children, Sexuality
Valentine, Jeffrey C.; McHugh, Cathleen M. – Psychological Methods, 2007
Using meta-analysis, randomized experiments in education that either clearly did or clearly did not experience student attrition were examined for the baseline comparability of groups. Results from 35 studies suggested that after attrition, the observed measures of baseline comparability of groups did not differ more than would be expected given…
Descriptors: Sampling, Effect Size, Student Attrition, Educational Research

Levy, Kenneth J. – Journal of Experimental Education, 1978
The purpose of this paper is to demonstrate how many more subjects are required to achieve equal power when testing certain hypotheses concerning proportions if the randomized response technique is employed for estimating a population proportion instead of the conventional technique. (Author)
Descriptors: Experimental Groups, Hypothesis Testing, Research Design, Response Style (Tests)

Hammill, Donald D.; And Others – Learning Disability Quarterly, 1989
Research articles published in 10 major journals during the years 1984-1987 were evaluated to determine how many satisfied the recommendations of the Council for Learning Disabilities' Research Committee on reporting subject data. Only 4 of the 277 articles included acceptable information in 7 recommended areas of subject data. (Author/JDD)
Descriptors: Educational Research, Elementary Secondary Education, Experimental Groups, Learning Disabilities

Harris, Richard J.; Quade, Dana – Journal of Educational Statistics, 1992
A method is proposed for calculating the sample size needed to achieve acceptable statistical power with a given test. The minimally important difference significant (MIDS) criterion for sample size is explained and supported with recommendations for determining sample size. The MIDS criterion is computationally simple and easy to explain. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Experimental Groups, Mathematical Models

Green, Samuel B. – Multivariate Behavioral Research, 1991
An evaluation of the rules-of-thumb used to determine the minimum number of subjects required to conduct multiple regression analyses suggests that researchers who use a rule of thumb rather than power analyses trade simplicity of use for accuracy and specificity of response. Insufficient power is likely to result. (SLD)
Descriptors: Correlation, Effect Size, Equations (Mathematics), Estimation (Mathematics)

Rust, Keith F.; Johnson, Eugene G. – Journal of Educational Statistics, 1992
Procedures for obtaining student samples for the National Assessment of Educational Progress (NAEP) and deriving survey weights for analysis of survey data are described. Sample designs are economically and operationally feasible, and weighting procedures result in increased precision of estimates as they account for the probabilities of student…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)

Grossman, Jean; Tierney, Joseph P. – Evaluation Review, 1993
Evidence is presented that strengthens the argument against comparison group research strategies. Results from a study of youth attitudes related to the California Conservation Corps involving 528 participants and 668 comparisons indicate that the comparison group may not adequately represent the nontreatment state. (SLD)
Descriptors: Attitudes, Comparative Analysis, Control Groups, Experimental Groups
Clark, Sheldon B.; And Others – 1991
Suggestions, based on the experience of researchers at Oak Ridge (Tennessee) Associated Universities (ORAU), are offered on how evaluations in which true experimental designs are not possible can be designed for meaningful comparison. The ORAU conducts evaluation and assessment studies of educational programs intended to explore some aspect of the…
Descriptors: Case Studies, Comparative Analysis, Control Groups, Databases
Tallmadge, G. Kasten – 1991
Problems with conducting randomized field experiments in education are explored. Focus is on problems encountered while evaluating a group of dropout prevention projects. Project planners were asked to manipulate the subject eligibility criteria until they identified as eligible three to four times as many students as they could serve. They were…
Descriptors: Attrition (Research Studies), Control Groups, Dropout Programs, Educational Experiments
Bloom, Howard S.; Michalopoulos, Charles; Hill, Carolyn J.; Lei, Ying – 2002
A study explored which nonexperimental comparison group methods provide the most accurate estimates of the impacts of mandatory welfare-to-work programs and whether the best methods work well enough to substitute for random assignment experiments. Findings were compared for nonexperimental comparison groups and statistical adjustment procedures…
Descriptors: Adult Education, Comparative Analysis, Control Groups, Error of Measurement