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McGraw, Kenneth O.; And Others – Journal of Consulting and Clinical Psychology, 1994
Suggest practical procedure for estimating number of subjects that need to be screened to obtain sample of fixed size that meets multiple correlated criteria. Procedure described is based on fact that least-squares regression provides good quadratic fit for Monte Carlo estimates of multivariate probabilities when they are plotted as function of…
Descriptors: Measurement Techniques, Monte Carlo Methods, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Tanaka, J. S. – Child Development, 1987
Considers problems which arise when researchers do not have the optimally large sample sizes desired in structural equation modeling. Discusses the ways in which small sample size affects assessment of model fit. Provides a new estimator that may be beneficial for use in small-sample situations. (Author/RH)
Descriptors: Estimation (Mathematics), Goodness of Fit, Research Methodology, Research Problems
McDonald, Roderick P. – 1982
This paper provides an up-to-date review of the relationship between item response theory (IRT) and (nonlinear) common factor theory and draws out of this relationship some implications for current and future research in IRT. Nonlinear common factor analysis yields a natural embodiment of the weak principle of local independence in appropriate…
Descriptors: Factor Analysis, Higher Education, Item Analysis, Latent Trait Theory
Peer reviewed Peer reviewed
McBean, Edward A.; Lennox, William C. – Higher Education, 1985
The influences of class size and the number of students completing surveys on faculty and course ratings were studied. For classes of 30 or more, a 50 percent response rate gives an acceptable indication of rating, while for a class of less than 30, about 80 percent return is needed. (Author/SW)
Descriptors: Class Size, College Students, Course Evaluation, Faculty Evaluation
Olejnik, Stephen F.; Algina, James – 1986
Sampling distributions for ten tests for comparing population variances in a two group design were generated for several combinations of equal and unequal sample sizes, population means, and group variances when distributional forms differed. The ten procedures included: (1) O'Brien's (OB); (2) O'Brien's with adjusted degrees of freedom; (3)…
Descriptors: Error of Measurement, Evaluation Methods, Measurement Techniques, Nonparametric Statistics
Peer reviewed Peer reviewed
Brewer, James K.; Sindelar, Paul T. – Journal of Special Education, 1988
From a priori and post hoc data collection perspectives, this paper describes the interrelations among (1) power, alpha, effect size, and sample size for hypothesis testing; and (2) precision, confidence, and sample size for interval estimation. Implications for special education researchers working with convenient samples of fixed size are…
Descriptors: Data Collection, Disabilities, Educational Research, Effect Size
Peer reviewed Peer reviewed
Hooks, Paul C.; And Others – Hispanic Journal of Behavioral Sciences, 1986
Reports use of social networking to recruit 64 Mexican-American children for an assessment of diet and exercise habits. Describes friendship, social, consanguineal, and coparenthood networks. Compares results of direct contact versus network contact. Discusses implications for recruiting ethnic groups for research. (LFL)
Descriptors: Children, Cultural Traits, Exercise, Information Networks
Anderson, John F. – 1986
This paper summarizes and highlights some of the critical developments, issues, and trends which impact the work of survey research. The issue of preventing or minimizing nonresponse bias by successfully obtaining cooperation from people being surveyed continues to be of concern to survey research professionals. The most effective response rate…
Descriptors: Computer Software, Data Analysis, Data Collection, Educational Research
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size
Pena, Deagelia M.; Henderson, Ronald D. – 1986
The sampling of teachers for nationwide surveys offers a challenging endeavor in obtaining a representative and adequate sample to truly represent opinions of the teachers. Ten national surveys of public school teachers conducted between 1980 and 1985 are presented with respect to their sampling design and procedures. Concepts and theoretical…
Descriptors: Adults, Error of Measurement, Longitudinal Studies, Measurement Techniques
Cook, Linda L.; Petersen, Nancy S. – 1986
This paper examines how various equating methods are affected by: (1) sampling error; (2) sample characteristics; and (3) characteristics of anchor test items. It reviews empirical studies that investigated the invariance of equating transformations, and it discusses empirical and simulation studies that focus on how the properties of anchor tests…
Descriptors: Educational Research, Equated Scores, Error of Measurement, Evaluation Methods
Sandler, Andrew B. – 1987
Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis
Selby, David – 1977
Ways that data from four major longitudinal surveys can be used in postsecondary education policy analysis are discussed: the National Longitudinal Survey of Labor Market Experience (NLS-LM), Project TALENT, the Panel Study of Income Dynamics (PSID), and the National Longitudinal Study of the High School Class of 1972 (NLS-HS). The potential use…
Descriptors: Aspiration, College Attendance, Databases, Economic Factors