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Algadheeb, Nourah A.; Almeqren, Monira A. – Journal of International Education Research, 2014
The present study aimed to identify the scientific research obstacles facing faculty members in the College of Education at Princess Nora bint Abdul Rahman University (PNU) and to determine the differences in the obstacles according to age, academic rank, scientific specialty, marital status, number of completed studies, and time since the last…
Descriptors: Scientific Research, Research Problems, Barriers, Predictor Variables
Thompson, Bruce; And Others – 1991
Problems with using stepwise analytic methods are discussed, and better alternatives are illustrated. To make the illustrations concrete, an actual data set, involving responses of 91 medical school admissions directors to 30 variables, was used. The 30 variables involved perceptions of barriers to medical school with respect to characteristics of…
Descriptors: Admissions Officers, Data Interpretation, Effect Size, Higher Education
Brown, Lynne Harrington – 1982
Among the many problems faced by family researchers in conducting experimental research in field settings is that posed by nonequivalent and intact treatment and control groups. Nonequivalence refers to the assignment of individuals to treatments on a nonrandom basis, thus generating treatment groups with different expected values on one or more…
Descriptors: Analysis of Covariance, Aptitude Treatment Interaction, Experimental Groups, Family (Sociological Unit)
Godbout, Robert C. – 1975
Exploratory research with large numbers of variables and even larger numbers of relationships is likely to result in frequent Type II errors; that is falsely accepting an incorrect null hypotheses. There are three ways of reducing Type II errors: (1) choosing a lower significance level, which then increases the probability of Type I error; (2)…
Descriptors: Aptitude Treatment Interaction, Educational Experiments, Educational Research, Predictor Variables
Marx, Thomas – 1973
When two groups, initially dissimilar, undergo different treatments, can subsequent differences be partitioned in such a way that the difference between the two treatments is unbiased? This is the central problem of this paper, and it is confronted by the examination of two levels of information using a Follow Through Evaluation. The first…
Descriptors: Achievement Tests, Analysis of Covariance, Analysis of Variance, Comparative Analysis

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