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Delhi University Computer Centre


SPSS Course Contents:
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.

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SPSS Course Contents

  • 1. Delhi University Computer Centre SPSS Course Contents: 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.