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Zimmerman, Donald W. – Journal of Experimental Education, 1986
A computer program randomly sampled ordered pairs of scores from known populations that departed from bivariate normal form and calculated correlation coefficients from sample values. Hypotheses were tested (1) that population correlations are zero using the t statistic; and (2) that population correlations have non-zero values using the r to z…
Descriptors: Correlation, Hypothesis Testing, Sampling, Statistical Distributions
Evangelauf, Jean – Chronicle of Higher Education, 1985
Nearly half of all faculty members taught summer school last year, according to a "Chronicle" survey. Figures were for faculty members of all ranks and those without academic ranks. The disciplines with the most faculty members teaching were business/economics and physical education. (MLW)
Descriptors: College Faculty, Compensation (Remuneration), Higher Education, Sampling
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Hiller, Dana V.; Philliber, William W. – Journal of Marriage and the Family, 1985
A review of articles that report study results based on couple samples indicated response rates are rarely high enough for statistical inference. Four procedures that can be used to compensate for insufficient response rates (collecting information from nonparticipants, census comparisons, adjustment in analysis, and replication) are examined.…
Descriptors: Generalization, Influences, Research Problems, Sample Size
Khodarahimi, Siamak; Rahimi, Ali; Rahimian, Rahman; Khodabande, Zahra – Online Submission, 2005
The worries & wishes of 14 -19 years-old adolescents of Abadeh, Bavanat & Khorambid cities in the north of Fars province are investigated in this research. The wishes & worries are measured by wishes measurement scale (WMS) and Ahwaz worry inventory (AWI) respectively. The Ss consisted of 300 Adolescents (150 girls & 150 Boys) that…
Descriptors: Adolescents, Anxiety, Individual Needs, Gender Differences
Childs, Ruth A.; Jaciw, Andrew P. – 2003
This Digest describes matrix sampling of test items as an approach to achieving broad coverage while minimizing testing time per student. Matrix sampling involves developing a complete set of items judged to cover the curriculum, then dividing the items into subsets and administering one subset to each student. Matrix sampling, by limiting the…
Descriptors: Item Banks, Matrices, Sampling, Test Construction
Witta, E. Lea – 2001
The purpose of the current study was to investigate the effectiveness of four methods of handling missing data. Effectiveness was defined as the probability of reproducing the covariance matrix of the target sample accurately. Effectiveness of the missing data methods was assessed by manipulating the proportion of cases containing missing values…
Descriptors: Decision Making, High School Students, High Schools, Research Methodology
Cui, Weiwei – 2003
This Digest describes four types of errors in mail surveys and summarizes the ways they can be reduced. Any one of these sources of error can make survey results unacceptable. Sampling error is examined through inferential statistics applied to sample survey results. In general, increasing sample size will decrease sampling error when simple…
Descriptors: Error of Measurement, Mail Surveys, Research Methodology, Responses
McFetridge, Patricia A. – Elements: Translating Theory into Practice, 1974
Article considered recent research in language conducted by a teacher educator from St. Lucia, West Indies. Her specific focus was on the methods devised for collection and analysis of language samples. (Author/RK)
Descriptors: Educational Planning, Language Ability, Language Research, Language Usage
Matthews, Charlotte – Education Canada, 1973
Article presented a list of questions designed to learn from the school trustee how effective his role in developing educational objectives is. (RK)
Descriptors: Educational Administration, Educational Policy, Questionnaires, Responses
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Barcikowski, Robert S. – Journal of Experimental Education, 1973
It is the purpose of this paper to provide social scientists with some insight in dealing with Type 11 error, that is, the probability of failing to reject a false null hypothesis, and therefore, optimum sample size and number of levels, in the random-effects analysis of variance. (Author/RK)
Descriptors: Analysis of Variance, Educational Research, Sampling, Social Sciences
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Bjornsson, Sigurjon – Scandinavian Journal of Educational Research, 1973
The purpose of the present study is to provide some facts on the morbidity risk and incidence of enuresis in Icelandic children, aged 5-15 years, and to study its association with some mental and environmental variables often related to this symptom. (Author)
Descriptors: Children, Educational Research, Emotional Disturbances, Environmental Influences
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Nyberg, V. R.; Baril, R. G. – Alberta Journal of Educational Research, 1973
The purpose of this study is to examine the SACU variables in relation to other commonly used variables in predicting university success in Alberta. (Author)
Descriptors: Academic Achievement, Correlation, Educational Research, Educational Testing
Champion, Lynn J.; Champion, Dean J. – Southern Journal of Educational Research, 1973
The present research is a comparison of faculty from a large university with faculty from a small college in a rather homogeneous Southeastern region of the United States. (Author)
Descriptors: Colleges, Data Analysis, Educational Research, Faculty Evaluation
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Simon, A.; Ward, Lionel O. – Journal of Experimental Education, 1973
This investigation had two main aims: 1.) to study any differences in creativity between groups of children of high and low ability; 2.) to ascertain whether the relationship between selected measures of creativity was higher than the relationship between intelligence and each measure of creativity. (Author)
Descriptors: Academic Ability, Academic Achievement, Children, Creativity
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Kerr, Steven; And Others – Personnel Psychology, 1974
The present study provides evidence that there are differences in judged desirability between mentioning hygiene factors and talking about motivators. (Author)
Descriptors: Data Analysis, Job Satisfaction, Measurement Instruments, Methods
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