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Quantitative Analysis using SPSS
Home
Introduction to Quantitative Analysis
Measurement Scale
Issues on Sample Size
Data Processing & Screening
Data Editing
Data Coding
Data Entry
Handling Blank Response
Data Transformation
Data Distribution
Detecting Outliers
Construct Validity & Reliability
Factor Analysis
Reliability Analysis
Descriptive Statistics
Hypotheses
Correlation Analysis
Regression Analysis
Quantitative Analysis using SPSS
Home
Introduction to Quantitative Analysis
Measurement Scale
Issues on Sample Size
Data Processing & Screening
Data Editing
Data Coding
Data Entry
Handling Blank Response
Data Transformation
Data Distribution
Detecting Outliers
Construct Validity & Reliability
Factor Analysis
Reliability Analysis
Descriptive Statistics
Hypotheses
Correlation Analysis
Regression Analysis
More
Home
Introduction to Quantitative Analysis
Measurement Scale
Issues on Sample Size
Data Processing & Screening
Data Editing
Data Coding
Data Entry
Handling Blank Response
Data Transformation
Data Distribution
Detecting Outliers
Construct Validity & Reliability
Factor Analysis
Reliability Analysis
Descriptive Statistics
Hypotheses
Correlation Analysis
Regression Analysis
Handling Blank Responses
Approaches to handle blank responses
Traditional
No replacement
Mid point of the scale
Random number
Mean value of the other respondents
Mean value of the other responses
Modern
FIML (Full Information Maximum Likelihood)
EM (Expectation-Maximization)
MI (Multiple Imputation)
Expectation-Maximization Approach
Exercise
Please download a data-set
here
.
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