By Albert R. Wildt
This ebook offers a method for examining the results of variables, teams, and coverings in either experimental and observational settings. It considers not just the most results of 1 variable upon one other, but in addition the consequences of staff instances.
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Additional resources for Analysis of Covariance (Quantitative Applications in the Social Sciences)
Ahtola, O. T. (1978). Analysis of covariance (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-012). Newbury Park, CA: Sage. Page 3 Contents Editor's Introduction 5 1. Introduction 7 Overview of Analysis of Covariance 7 Alternate Problem Perspectives with Analysis of Covariance 8 2. Applications of Analysis of Covariance 10 Application One: Coerciveness and Change 10 Application Two: Partitioning and Perceived Crowding in a Public Space 10 Application Three: Comparison of Alternate Teaching Methods 11 Application Four: American Occupational Structure 12 3.
Mean comparisons may be classified as orthogonal or non-orthogonal, and as a priori or a posteriori. Two comparisons among k means are said to be orthogonal to each other if they utilize nonoverlapping pieces of information. A maximum of k1 mutually orthogonal comparisons are possible in the analysis containing k groups or treatment levels, though the k1 comparisons are not unique. , sum to equal the treatment/group sum of squares, and correspond to an orthogonal comparison. Mathematically, two contrasts, C1 and C2, are considered orthogonal if where cji is the coefficient of the ith group mean in the jth contrast and ni is the number of observations in group i.
Ltd. 78-64330 98 99 00 01 22 21 20 19 18 When citing a university paper, please use the proper form. Remember to cite the Sage University Paper series title and include the paper number. One of the following formats can be adapted (depending on the style manual used): (1) WILDT, ALBERT R. and AHTOLA, OLLI T. (1978) Analysis of covariance. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-012. Newbury Park, CA: Sage. OR (2) Wildt, A. , & Ahtola, O. T. (1978). Analysis of covariance (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no.
Analysis of Covariance (Quantitative Applications in the Social Sciences) by Albert R. Wildt