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LeCompte, Margaret D.; Goetz, Judith Preissle – 1982
The problems addressed, and solutions devised, by educational ethnographers in selection of and sampling from phenomena for internal representativeness external comparison are examined. The process of sampling is designated as a specialized form of the more general process of focusing and choosing in research, which is called selection. Common…
Descriptors: Comparative Analysis, Educational Research, Ethnography, Generalization
Feir, Betty J.; Toothaker, Larry E. – 1974
Researchers are often in a dilemma as to whether parametric or nonparametric procedures should be cited when assumptions of the parametric methods are thought to be violated. Therefore, the Kruskal-Wallis test and the ANOVA F-test were empirically compared in terms of probability of a Type I error and power under various patterns of mean…
Descriptors: Analysis of Variance, Comparative Analysis, Nonparametric Statistics, Sampling
Shannon, Larry J.; And Others – 1971
This paper is based on a particulate pollutant system study to delineate the deficiencies in knowledge regarding the nature and magnitude of particulate pollutant emissions from stationary sources. Presented at the 12th Conference on Methods in Air Pollution and Industrial Hygiene Studies, University of Southern California, April, 1971, it focuses…
Descriptors: Air Pollution, Comparative Analysis, Environment, Matter
Tam, Peter T. K.; And Others – 1973
Since the development of causal path analysis by Wright, both the standardized and unstandardized procedures in path coefficient estimates have been advocated in the related literature, but the superiority of one technique over the other has not been demonstrated empirically or mathematically. In this study, the sampling properties of both…
Descriptors: Comparative Analysis, Models, Path Analysis, Prediction
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Raju, Nambury S. – Educational and Psychological Measurement, 1977
A rederivation of Lord's formula for estimating variance in multiple matrix sampling is presented as well as the ways Cronbach's coefficient alpha and the Spearman-Brown prophecy formula are related in this context. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Item Sampling, Mathematical Models
Peer reviewed Peer reviewed
Bryant, N. Dale; Gokhale, Sunanda – Educational and Psychological Measurement, 1972
Authors present a formula for use when restrictions result from complex or unmeasured variables. (Authors/MB)
Descriptors: Comparative Analysis, Correlation, Item Analysis, Item Sampling
Terry, Roger L.; Campbell, W. J. – Comp Educ Rev, 1970
In a study of teacher role, the collection of data from a sample of teachers in the United States, Britain, Australia, and New Zealand is described, and the techniques used to analyze the data are discussed. (DB)
Descriptors: Comparative Analysis, Data Collection, Questionnaires, Research Methodology
Peer reviewed Peer reviewed
Bass, David M. – Omega: Journal of Death and Dying, 1982
Explored possible response bias in a needs assessment survey for a hospice program. Results showed differences between the 22 caregivers who responded to the survey and the 38 who did not respond. Bias in the study may have eliminated clients with the most difficult experiences. (Author/JAC)
Descriptors: Bias, Comparative Analysis, Death, Helping Relationship
Blankmeyer, Eric – 1992
L-scaling is introduced as a technique for determining the weights in weighted averages or scaled scores for T joint observations on K variables. The technique is so named because of its formal resemblance to the Leontief matrix of mathematical economics. L-scaling is compared to several widely-used procedures for data reduction, and the…
Descriptors: Comparative Analysis, Equations (Mathematics), Mathematical Models, Multivariate Analysis
Peer reviewed Peer reviewed
Feild, Hubert S.; And Others – Multivariate Behavioral Research, 1975
Empirically determines if two approaches, i.e., individual predictor information versus group information, would yield different predictive results, and since the second approach involved the additional expense of grouping whether the prediction of criterion measures by individual data could be enhanced by the addition of group data. (Author/RC)
Descriptors: College Students, Comparative Analysis, Correlation, Homogeneous Grouping
Campo, Stephanie F. – 1988
Three procedures for evaluating the sampling specificity of results are reviewed. These procedures are Tukey's jacknife technique, Efron's bootstrap technique, and cross-validation methods. The jacknife technique uses different subsamples derived from the original total data set to provide empirical estimates of the generalizability of effect…
Descriptors: Comparative Analysis, Effect Size, Estimation (Mathematics), Evaluation Methods
Wolf, Wendy C. – 1977
Four potential biases incurred by using a sample of wives of male respondents as a sample of women for sex comparisons of the occupational attainment process were examined and empirically assessed. Using data from the Wisconsin longitudinal study of high school seniors, the extent and nature of two potential biases were considered: (1) a sampling…
Descriptors: Comparative Analysis, Employed Women, Employment Level, Longitudinal Studies
Peer reviewed Peer reviewed
Cline, Hugh F.; Sinnott, Loraine T. – New Directions for Program Evaluation, 1981
Methods useful in identifying and assessing outcomes of relatively simple programs may not be practical or appropriate for complex programs and systems. Comparative case study methods are recommended for dealing with such global outcomes of planned organizational change. (Author)
Descriptors: Case Studies, Comparative Analysis, Organizational Change, Program Evaluation
Peer reviewed Peer reviewed
O'Leary, Michael – British Educational Research Journal, 2001
Reports discrepancies between published outcomes from two international tests of science achievement: (1) Second International Assessment of Educational Progress (IAEP) administered in 1991; and (2) Third International Mathematics and Science Study (TIMSS) administered in 1995. States initial comparisons suggested outcome inconsistencies for 11…
Descriptors: Academic Achievement, Comparative Analysis, Cross Cultural Studies, Educational Research
Peer reviewed Peer reviewed
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Lubke, Gitta H.; Muthen, Bengt – Psychological Methods, 2005
Sources of population heterogeneity may or may not be observed. If the sources of heterogeneity are observed (e.g., gender), the sample can be split into groups and the data analyzed with methods for multiple groups. If the sources of population heterogeneity are unobserved, the data can be analyzed with latent class models. Factor mixture models…
Descriptors: Youth, Evaluation Methods, Factor Analysis, Data Analysis
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