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Sobel, Michael E. – Psychometrika, 1990
Total, direct, and indirect effects in linear structural equation models are examined. Formulas currently given for direct and total effects are reported, and causation is considered. It is concluded that in many instances the effects do not support the interpretations given in the literature. (SLD)
Descriptors: Effect Size, Equations (Mathematics), Mathematical Models, Statistical Analysis
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Vittadini, Giorgio – Multivariate Behavioral Research, 1989
Conditions necessary and sufficient for the determination of LISREL model solutions are identified. The reasons for indeterminacy of LISREL solutions are discussed, and an index of determinacy is presented and related to the covariance matrix of latent variables. (SLD)
Descriptors: Correlation, Equations (Mathematics), Estimation (Mathematics), Evaluation Problems
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Willett, John B.; Singer, Judith D. – Journal of Experimental Education, 1989
Problems of estimation and interpretation are discussed that arise when a statistical package, which does not incorporate a dedicated weighted least-squares (WLS) routine, performs WLS regression by misapplication of a case-weighting strategy. A strategy is offered for adjusting WLS regression estimates after a case weighting strategy has been…
Descriptors: Estimation (Mathematics), Least Squares Statistics, Mathematical Models, Regression (Statistics)
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Margulis, Eugene L. – Information Processing and Management, 1993
Reports on the validity of the Multiple Poisson (nP) model of word distribution in full-text document collections. A practical algorithm for determining whether a certain word is distributed according to an nP distribution and the results of a test of this algorithm in three different document collections are described. (14 references) (KRN)
Descriptors: Algorithms, Full Text Databases, Graphs, Information Retrieval
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Heiser, Willem J. – Psychometrika, 2004
Categories can be counted, rated, or ranked, but they cannot be measured. Likewise, persons or individuals can be counted, rated, or ranked, but they cannot be measured either. Nevertheless, psychology has realized early on that it can take an indirect road to measurement: What can be measured is the strength of association between categories in…
Descriptors: Psychometrics, Classification, Sociometric Techniques, Geometric Concepts
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Wetcher-Hendricks, Debra – Psychological Methods, 2006
With respect to the often-present covariance between error terms of correlated variables, D. W. Zimmerman and R. H. Williams's (1977) adjusted correction for attenuation estimates the strength of the pairwise correlation between true scores without assuming independence of error scores. This article focuses on the derivation and analysis of…
Descriptors: Correlation, Scores, Error Correction, Error of Measurement
Thompson, Bruce – 1998
This paper provides an introduction to basic issues concerning structural equation modeling (SEM), a research methodology increasingly being used in social science research. First, seven key issues that must be considered in any SEM analysis are explained. These include matrix of associations to analyze, model identification, parameter estimation…
Descriptors: Mathematical Models, Research Methodology, Social Science Research, Statistical Analysis
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Acock, Alan C.; Martin, J. David – Sociology and Social Research, 1974
The position of the "purists" who insist on limiting data to ordinal analysis is contrasted with the "pragmatists" who treat data as interval. (Author)
Descriptors: Data Collection, Hypothesis Testing, Mathematical Models, Research Methodology
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Levin, Joseph – Multivariate Behavioral Research, 1974
Descriptors: Classification, Correlation, Factor Analysis, Mathematical Models
STAKE, ROBERT E.; AND OTHERS – 1962
AN EMPIRICAL STUDY WAS MADE OF THE ERROR FACTORS IN MULTIDIMENSIONAL SCALING (MDS) TO REFINE THE USE OF MDS FOR MORE EXPERT MANIPULATION OF SCALES USED IN EDUCATIONAL MEASUREMENT. THE PURPOSE OF THE RESEARCH WAS TO GENERATE TABLES OF THE SAMPLING DISTRIBUTIONS THAT ARE NECESSARY FOR DISCRIMINATING BETWEEN ERROR AND NONERROR MDS DIMENSIONS. THE…
Descriptors: Data Analysis, Evaluation, Mathematical Models, Measurement
Subkoviak, Michael J. – 1976
A number of different definitions and indices of reliability for mastery tests have recently been proposed in an attempt to cope with possible lack of score variability that attenuates traditional coefficients. One promising index that has been suggested is the proportion of students in a group that are consistently assigned to the same mastery…
Descriptors: Criterion Referenced Tests, Mastery Tests, Mathematical Models, Scores
Ary, Donald; Karabinus, Robert – 1975
The power of a statistical test is, in part, a function of the reliability of the dependable variable being analyzed. The substitution of sigma square divided by the reliability coefficient for sigma is proposed. This enables the researcher to incorporate dependent variable reliability information when determining the sample size required for a…
Descriptors: Hypothesis Testing, Mathematical Models, Measurement Techniques, Reliability
Elashoff, Janet Dixon; Elashoff, Robert M. – 1970
This paper introduces a model for describing outliers (observations which are extreme in some sense or violate the apparent pattern of other observations) in linear regression which can be viewed as a mixture of a quadratic and a linear regression. The maximum likelihood estimators of the parameters in the model are derived and their asymptotic…
Descriptors: Correlation, Mathematical Models, Multiple Regression Analysis, Research Methodology
Wastler, T. A. – 1969
The statistical technique of analyzing data collected at regular intervals to reveal periodic components of the data is described by reference to actual records. The data chosen for illustration include tide height in a river; biochemical oxygen demand and dissolved oxygen in the same river; discharged salt into a river system and its relation to…
Descriptors: Data Analysis, Environment, Mathematical Models, Pollution
Stroud, T. W. F. – 1973
The statistician has n independent estimates of a parameter he knows is positive, but, as is the case in components-of-variance problems, some of the estimates may be negative. If the n estimates are to be combined into a single number, we compare the obvious rule, that of averaging the n values and taking the positive part of the result, with…
Descriptors: Computation, Mathematical Applications, Mathematical Models, Measurement Techniques
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