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Lamb, Gordon D. – 2003
This paper discusses the basics of repeated measures designs. Within-subjects designs are compared to between-subjects designs, discussing the advantages and disadvantages of each. Further discussion compares a univariate one-way analysis of variance (ANOVA) with the between-subjects ANOVA and multivariate repeated measures ANOVA. Limitations of…
Descriptors: Analysis of Variance, Comparative Analysis, Research Design
Klockars, Alan J.; Potter, Nina Salcedo – 1999
The type I error control and power of a number of analysis of covariance (ANCOVA) and randomized block (RB) designs with curvilinear data were studied for tests of the additive treatment effect and interaction. For tests of additive effects, the analysis was also conducted using systematic assignment to treatments and using random assignment with…
Descriptors: Analysis of Covariance, Interaction, Research Design, Simulation
Devroop, Karendra – 2000
The purpose of this paper is to articulate the common confusion of correlation for causation. Various articles that have addressed this issue are reviewed, and possible reasons for the misinterpretation of correlation as causation are presented. The differences between correlational and experimental research designs are reviewed, and the…
Descriptors: Causal Models, Correlation, Research Design, Research Problems
Hester, Yvette – 1996
Analysis of variance (ANOVA) was invented in the 1920s to partition variance of a single dependent variable into uncorrelated parts. Having uncorrelated parts makes the computations involved in ANOVA incredibly easier. This was important before computers were invented, when calculations were all done by hand, and also were done repeatedly to check…
Descriptors: Analysis of Variance, Computation, Correlation, Heuristics
Rakow, Ernest A. – 1995
Analysis of variance (ANOVA) is a frequently used statistical procedure in education and the social sciences. Very often the use of ANOVA involves situations with unequal cell sizes. When confronted with data to analyze from an unbalanced design, the researcher should select very carefully from the method or option in the statistical package being…
Descriptors: Analysis of Variance, Estimation (Mathematics), Interaction, Research Design
Johanson, George; Green, Suzy; Williams, James – 1998
Errors in methodology occur regularly in the conduct of surveys for educational research. This paper discusses some of these errors and alternatives. In the area of survey design, errors are common in: (1) missed opportunities in attitude scale planning; (2) blunders in item construction; (3) missed opportunities in item construction; (4) blunders…
Descriptors: Questionnaires, Research Design, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Haas, David F.; Kraft, Donald H. – Information Processing and Management, 1984
This paper examines representative research in information science and compares its designs to an abstract ideal of the experimental research design. Threats to validity of conclusions are highlighted, including history, maturation, testing, instrumentation, statistical regression, selection biases, experimental mortality, and selection-maturation…
Descriptors: Information Science, Models, Research Design, Research Methodology
Onwuegbuzie, Anthony J. – 2000
The fervent debate over the last 100 years about quantitative and qualitative research paradigms has resulted in a great divide between quantitative and qualitative researchers, who often view themselves as in competition with each other. This polarization has promoted "uni-researchers," researchers who restrict themselves exclusively to either…
Descriptors: Models, Qualitative Research, Research Design, Research Methodology
Fan, Xitao; Wang, Lin – 1999
The popularity of sample surveys in evaluation and research makes it necessary for consumers to tell a good survey from a poor one. Several sources were identified that gave advice on how to evaluate a sample design used in a survey study. The sources are either too limited or too extensive to be useful practically. The purpose of this paper is to…
Descriptors: Evaluation Methods, Research Design, Research Methodology, Sampling
Peer reviewed Peer reviewed
Hess, G. Alfred, Jr. – Anthropology & Education Quarterly, 1999
Explores the relevance of anthropology today, stressing that the current relevance of anthropology has to do with current work, building on the previously relevant work of earlier anthropologists. Asking the right questions, good questions, means considering issues that are pursued for decades, rather than focusing on the pursuit of grants. (SLD)
Descriptors: Educational Anthropology, Higher Education, Inquiry, Research Design
LeBlanc, H. Paul III – 1996
Although researchers and scholars have extolled the virtues of multi-method approaches to research by triangulation for at least two decades, implementation of these approaches to research has been slow. This is due primarily to the complexities inherent in the combination of different orders of data, theoretical constructs, and methodological…
Descriptors: Communication Research, Higher Education, Interviews, Research Design
Wells, Robert D. – 1998
The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment.…
Descriptors: Heuristics, Multivariate Analysis, Regression (Statistics), Research Design
Sigel, Irving E. – 1983
Structural models and classes of variables used in parent/child research are identified, and their implications are briefly discussed. The five types of research models appraised are noninteractive, unidirectional, bidirectional, family network, and sociopolitical. It is asserted that, taken together, the typology of models provides a system by…
Descriptors: Classification, Models, Parent Child Relationship, Research Design
Benton, Roberta L. – 1989
Analyses of data are presented to illustrate the advantages of using a priori or planned comparisons rather than omnibus analysis of variance (ANOVA) tests followed by post hoc or posteriori testing. The two types of planned comparisons considered are planned orthogonal non-trend coding contrasts and orthogonal polynomial or trend contrast coding.…
Descriptors: Analysis of Variance, Comparative Analysis, Research Design, Statistical Analysis
Landsberger, Betty H. – 1979
The epidemiological approach, as elaborated to accomodate multiple-causation of chronic disease, is suggested as appropriate for the size and the nature of the failure-to-learn problem faced by educators. The epidemiological approach begins with an examination of the health status of an area's population. Major problems are identified with respect…
Descriptors: Educational Diagnosis, Educational Research, Learning Problems, Models
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