Certified SPSS Training - A Complete Analytical Study

1. Merits of SPSS

2. Data Handling:

a Creating SPSS data set

b Reading the data set from different formats

c Defining the variable attributes

d Different levels of measure: scale, ordinal, nominal

e Creating new variables

3. Univariate analysis:

a Basic descriptive statistics. Measures of central tendency: mean, median, mode. Measures of dispersion: range, standard deviation, variance.

b Frequencies and Distribution

c Other basic Univariate procedures: Explore, Crosstab

4. Transforming the data:

a Computing new variables;

b Redefining or reorganization of existing data.

c Filtering the data

d Weighing Cases

e Sorting

f Replacing the missing values

g Using subsets of variables

5. Comparing similar variables. Comparing means and distribution.

Analysis of Variance.

6. Graphs and charts: bar chart, pie chart, histogram, scatter plot. Which of them should be used in different situations?

7. Hypothesis analysis with SPSS.

8. Testing dependence/independence, Pearsons chi-square, Levels of significance.