SPSS (Statistical Package for Social Scientists) is a comprehensive statistical and data management package for analysts and researchers. Its statistical capabilities alone range from simple percentages to complex analyses of variance, multiple regressions, and general linear models as well as to generate tabulated reports, charts and plots of distributions and trends.
SPSS makes statistical analysis more accessible for the beginner and more convenient for the experienced user. The Data Editor offers a simple and efficient spreadsheet-like facility for entering data and browsing the working data file. Most tasks can be accomplished simply by pointing and clicking the mouse!
At the end of the course, participants should be able to explain and perform hands-on operations in:
Introduction
o Building Statistical Models
o Populations and Samples
o Simple Statistical Models
o Frequency Distribution
o Representative Sample
o Linear Models
Exploring Data
o Graphing and Screening Data
o Exploring Groups of Data
o Test for Normal Distribution
o Test for homogeneity of Variance
Correlation
o Graphing Relationships
o Bivariate Correlation
o Partial Correlation
Regression
o Simple Regression Model
o Multiple Regression Model
o Accuracy of Regression Model
o Logistic Regression
Comparing two or more Mean
o Dependent -Test
o Independent t-Test
o One-Way ANOVA
o ANCOVA
o Factorial ANOVA
o Repeated-Measures Designs
o Mixed Design ANOVA
Exploratory Factor Analysis
Categorical Data
o Chi-Square Analysis
o Log-Linear Analysis
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