Peking University Press Lin Zhenyan
Computer / network, Software industry and its appl, Other,
The book combines multivariate analysis and SPSS statistical software, the way to explain profound theories in simple language, by SPSS takes the reader understanding multivariate analysis.The content emphasizes multivariate analysis method idea understands, but not too much emphasis on the process of calculation.This book presents a multivariate analysis techniques, in addition to the SPSS/Base function, according to the Advanced module function to explain, as average calibration, general linear model, factor analysis, cluster analysis, discriminant analysis, regression analysis, and explores the general book rare multiple scale method, TREE, Logistic, rules analysis, conjoint analysis, time series analysis and other advanced multivariate analysis.In addition, the SPSS plug-in procedures, including structural equation model AMOS and data mining C]ementine also has a dark.
The first part of the basic operation and data processing system of SPSS of the first chapter and basic operation of section SPSS system second system installation and startup third SPSS data file creation section fourth data analysis, sentence command and result output chapter second data conversion and processing the first data conversion section second data processing third SPSS function third chapter SPSS statistical graphics section drawing function of SPSS second interactive statistical graphics second part of univariate and multivariate General Theory Chapter fourth univariate descriptive analysis of the first section of descriptive statistics principle second section of the report section third section fourth table fifth descriptive statistics analysis of multiple-choice section sixth descriptive analysis paradigm -- CRM chapter fifth multivariate analysis. And reliability analysis the statistic test and P value second multivariate analysis procedure of reliability analysis and validity analysis of third principle fourth SPSS reliability analysis reliability analysis of a sample of sixth chapter fifth section two variable correlation analysisThe first section of the two variable correlation analysis principle of second SPSS Correlate analysis in section third correlation analysis paradigm with fourth SPSS Crosstabs fifth Crosstabs application example of third average and variance analysis chapter seventh mean comparison analysis first quarter average comparison test principle second One-Way ANOVA test principle third SPSS Means analysis in section fourth SPSS single sample T test fifth SPSS independent samples T test sixth SPSS paired sample T test seventh SPSS One-Way ANOVA test eighth day average compared to a sample chapter eighth general linear model the first section of GLM analysis principle of second SPSS GLM univariate analysis of third SPSS GLM multivariate analysis in section fourth SPSS GLM repeated measurement analysis of fifth GLM general example sixth GLM comprehensive paradigm -- G mobile communications fourth part ninth chapter data analysis principal component analysis and factor analysis, the first principal component analysis second factors analysis principle third SPSS factor analysisFourth factor analysis cluster analysis sample chapter tenth section second section SPSS cluster analysis principle of hierarchical clustering analysis method third SPSS K-MeanS clustering method for the analysis of fourth SPSS Two Step cluster analysis cluster analysis paradigm eleventh chapter fifth section of the multidimensional scale method for the analysis of the first section of the multidimensional scale analysis principle second SPSS multidimensional quantity table analysis in section third the multidimensional scale analysis paradigm fourth individual and property in the joint space fig fifth part Prediction Analysis Chapter twelfth difference analysis, TREE, Logistic and Probit regression section difference analysis principle second SPSS difference analysis procedure section third discriminant analysis in a sample of fourth SPSS TR:EE fifth Logistic regression analysis program sixth Probit program chapter thirteenth regression analysis and canonical correlation analysis regression analysis principle of first quarter second SPSS linear regression analysis third linear regression analysis paradigm fourth SPSS curve estimation procedure section fifth canonical correlation analysis principle part sixth byCausality analysis with other technology the fourteenth chapter structure equation model and path analysis of the first structural equation modeling principle second path analysis with third SPSS AMOS fourth path analysis and structural equation modeling paradigm Chapter fifteenth other statistical test procedure first nonparametric test second section of time series analysis in section third a joint analysis of fourth section data mining -- Clementine references
Copyright © 2007 - 2014 Hollandersland. All Rights Reserved