Introductio,meaning of research,concept definition of social research,nature scope types of research,features of good research,time dimension of research,decision making role in social science research,factors affecting social science research,globalization and social science research,ethics in social science research,introduction to spss in data presentation and analysis,literature review and data collection,concept purposes of literature review,key points of a literature review,sources of information,types of literature review,organization of information on index cards,data collection,definition of primary secondary data,difference between primary and secondary data,triangulation,different statistical organizations,modes of classification,presentation of statistical data,secondary data sources,important data sources,reports and publications from government sources,sampling concepts,classification of sampling techniques,concept of sample size determination through standard error,concept definition of questionnaire design,questionnaire design process,concept of measurement and scaling,different forms of measurement scales applied in social science research,types of measurement scales,factors effecting scale contruction techniques in social science research,reliability and validity,relationship between reliability and validity through pictorial diagram,validity,descriptive statistics and graphical presentation of data,classification of data variables,descriptive statistics in spss,interpreting statistics,graphical presentation of data,online analytical processing,meaning of olap,test procedure in spss statistics,growth role,average annual growth rate,computation of aagr,compound annual growth rate,computation of the cagr,profit percentage,sales by value versus sales by volume,concept of hypothesis,basic attributes of hypotheses,null and alternative hypothesis,type 1 2 errors,acceptance and rejection region for one and two tailed test,concept of normal distribution curve and normality test,normality test with spss,explanation of spss output for normality test,pearsons product moment correlation,ppmc coefficient using spss,other types of correlation coefficients using spss,linear regression using spss,test procedure in spss statistics,multiple regression analysis,explanation of multiple regression analysis,multiple regression analysis with spss,structural equation modelling through amos,multicollinearity,t test,one sample t test in spss,independent sample t test using spss,paired sample test using spss,analysis of variance,one way anova problem with spss,second one way problem with spss,two way anova problem with spss,factorial design problems with spss completely randomized design,randomized block design,chi square test for categorical data,x2goodness of fit test,solve x2 goodness of fit test problem with spss,x2 test of independence,solve x2 test of independence problem with spss,x2 test of homogeneity,solve x2 test of homogeneity problem with spss,concept of non parametric test,one sample two sample sign test,wilcoxon matched pairs signed rank test for small large samples,mann whitney u test for small large sample,kruskal wallis test,friedman test,run test,kolmogorov smirnov one sample test,spearmans rank correlation,important tricks,concept of factor analysis,types of factor analysis,components in factor analysis,explanation of factor analysis through an example,concept of cluster analysis,key terms in cluster analysis,cluster analysis process,non hierarchical clustering,concept of multidimensional scaling,multidimensional scaling process,different multidimensional scaling method through spss,concept of conjoint analysis,explanation of conjoint analysis through example,graphical representation of part worth functions,concept objectives of discriminant analysis,discriminant analysis model,illustration of discriminant analysis with example,discriminant analysis with spss,multiple discriminant analysis,report writing,format of a written report,apa referencing style,mla referencing style (Topical Term)