Data management using the following Concepts
- Recode
- Select
- Split file
- Compute
- Pivot Table
- Merge files
- Duplicates and missing Values
Introduction To Stata
installation of Stata software
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Data Entry using Stata
Introduction to coding
Variable
0/1
Data Management Stata
Compute
codebook
0/2
Descriptive Analysis
descriptive Statistics
0/1
Inferential Analysis
Chi-square Test
Pearson Correlation
independent Sample T test
0/1
Regression
OLS Regression
0/1
Introduction to Advanced EXCEL
Data Entry
0/1
Functions
AGGREGRATE functions
0/1
Conditional Statements
IF
0/1
Pivot Table
summary Report
0/1
Introduction to Statistical Package For Social Science
• Explain how IBM SPSS Statistics is used for basic analysis
• Explain the basic steps in data analysis
• Understand the primary windows in IBM SPSS Statistics
• Understand the different components of dialog boxes
0/5
Data Entry Primary Sources
• Describe and define variable properties in the Variable View window
• Use the Define Variable Properties dialog box
• Save variable properties with data in an IBM SPSS Statistics data file
• Use the Variables utility to view variable properties interactively
• Use the Display Data Dictionary facility and the Codebook procedure to view variable properties
0/4
Reading Data
Import data from different types of file formats
• Describe choices on the File menu for reading data
• Read Microsoft Excel files
• Read delimited text files
0/4
Data Management
Use Visual Binning to reclassify values of an ordinal or scale variable
• Use Recode into a Different Variable to reclassify values of a nominal variable
• Use Automatic Recode to create a numeric variable from a string variable
Describe the features of Compute Variable
• Create new variables with numeric expressions
• Create new variables with conditional numeric expressions
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Summarizing Individual Variables
Define levels of measurement
• Use the Frequencies procedure to produce tables and charts appropriate for nominal variables
• Use the Frequencies procedure to produce tables and charts appropriate for ordinal variables
• Use the Frequencies and Descriptive procedure to produce tables and charts for scale variables
0/2
Relationship Between Variables
• Select the appropriate procedure to summarize the relationship between two variables
• Use the Crosstabs procedure to summarize the relationship between categorical variables
• Use the Means procedure to summarize the relationship between a scale and a categorical variable
0/1
Regression Analysis
0/2