Parametric & Nonparametric Statistics for Business & Social Research: IBM SPSS

“Parametric & Non-parametric Statistics for Business & Social Research: IBM SPSS" is written and designed in a simple and straightforward manner to introduce basic statistics for students in business and social sciences. It presents how quantitative data analysis and statistical concepts provide information & solutions to some practical research problems. With many cases and exercises in each chapter, this text is easy to understand on most common statistical methods to create data summary, report, interpretations, conclusion & inferences using IBM SPSS software.This text consists of 7 comprehensive chapters on parametric and non-parametric statistics and covers nominal, ordinal and continuous data, descriptive statistics, histogram, graphs/plot/charts, normality test, and homogeneity of variance test. The text also discusses hypothesis testing, comparison of means, mean ranks and count / proportions among 2 or more groups of samples, analysis of variance, and analysis of covariance (General Linear Model).The author also discusses the correlation among variables and relationship between two numeric variables (Spearman, Kendall and Pearson correlations) as well as linear relationships among two or more independent variables (multiple regression model and equation). The last 2 chapters introduce time-series prediction / estimation and factor analysis (dimension reduction) which can be applied to most common data in business & social research.It covers popular statistical analyses and tests such as:1. Descriptive statistics and graphical charts.2. Hypothesis testing, ANOVA, MANOVA, ANCOVA.3. Chi-square, Cochran, Wilcoxon, Friedman, t-test.4. Kendal & Pearson correlations, Scatter plot / diagram.5. Regression, Logit & Discriminant Analysis and Syntax file.6. Time series Techniques: Linear, Exponential, Quadratic.7. Factor Analysis, Scree Plot, KMO, and Cronbach’s α test. Read more