Download or read book On Some Relations Between Canonical Correlation Multiple Regression and Factor Analysis written by Robert Eugene Ragland and published by . This book was released on 1967 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Canonical Analysis and Factor Comparison written by Mark S. Levine and published by SAGE. This book was released on 1977-04 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Canonical correlational analysis; Factor comparison techniques; References.
Download or read book Contributions to Correlational Analysis written by Robert J. Wherry and published by Academic Press. This book was released on 2014-05-10 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributions to Correlational Analysis provides information pertinent to the fundamental aspects of correlational analysis that can be used to replace and enhance many of the parametric and nonparametric inferential statistical tests. This book discusses the basic concern of correctional analysis, which is the relationship between two sets of measure. Organized into 18 chapters, this book begins with an overview of the nature of correction analysis. This text then explains the simple linear relationships in which explains the simple linear relationships in which Y and X each consists of some single measurement per person and the relationship is assumed to be linear. Other chapters consider basic ways of expanding the process to include more or different measurements of either X or Y but with no attempt to find the best functions. This book discusses as well the topic of factor analysis. The final chapter deals with canonical correlation. This book is a valuable resource for psychologists.
Download or read book Canonical Correlation Analysis written by Bruce Thompson and published by SAGE. This book was released on 1984-11 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances both in statistical methodology and in computer automation are making canonical correlation analysis available to more and more researchers. In an essentially nonmathematical presentation that provides numerous examples, this volume explains the basic features of this sophisticated technique. Learn more about "The Little Green Book" - QASS Series! Click Here
Download or read book Canonical Analysis Some Relations Between Canonical Correlation Factor Analysis Discriminant Function Analysis and Scaling Theory written by James John McKeon and published by . This book was released on 1967 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Some Aspects of Multiple Canonical Correlation Coefficients and Their Relationships to Factor Analysis written by F. Reid Creech and published by . This book was released on 1962 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Canonical Correlation Multiple Regression and Simultaneous Systems written by Julian Lincoln Simon and published by . This book was released on 1973 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate Approaches in Survey Data Processing written by Jeanne E. Gullahorn and published by . This book was released on 1967 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introductory Multivariate Analysis written by Daniel J. Amick and published by . This book was released on 1975 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Primer of Multivariate Statistics written by Richard J. Harris and published by Psychology Press. This book was released on 2001-05-01 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.
Download or read book Canonical Correlation Multiple Regression and Simultaneous Systems written by Johny K. Johansson and published by . This book was released on 1974 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multiple Regression in Behavioral Research written by Fred Nichols Kerlinger and published by New York : Holt, Rinehart and Winston. This book was released on 1973 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of multiple regression analysis; The regression analysis of experimental and nonexperimental data; Multiple regression and multivariate analysis; Research applications; Scientific research and multiple regression analysis.
Download or read book Canonical Analysis Some Relations Between Canonical Correlation Factor Analysis Discriminant Function Analysis and Scaling Theory written by James J. McKeon and published by . This book was released on 1964 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Canonical Analysis Some Relations Between Canonical Correlation Factor Analysis Discriminant Function Analysis and Scaling Theory written by and published by . This book was released on 1962 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cont nts: Canonical correlation Pseudo-variates and conditional inverses Special solutions Applications of canonical analysis Factor analysis Discrimin t fu ction analysis and scaling theory Scoring categorical dataAssociation and reliability Generalized canonical analysis Applications of generalized canonical analysis A classification of measurement based on categorical responses Tests of hypotheses.
Download or read book Applied Multiple Regression Correlation Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-06-17 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
Download or read book Applied Multiple Regression Correlation Analysis for the Behavioral Sciences written by Patricia Cohen and published by Psychology Press. This book was released on 2014-04-04 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
Download or read book Correlation and Causality written by David A. Kenny and published by John Wiley & Sons. This book was released on 1979 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural modeling; Covariance algebra; Principles of path analysis; Models with observed variables as causes; Measurement error in the exogenous variable and third variables; Observed variables as causes of each other; Single unmeasured exogenous variables; Causal models with multiple unmeasured variables; Causal models with unmeasured variables; Causal models and true experiments; The nonequivalent control group design; Cross-lagged panel correlation; Loose ends.
