12 N Advanced quantitative data analysis (1).pptx

# 12 N Advanced quantitative data analysis (1).pptx -...

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Advanced Quantitative Data Analysis Chapter 12 1

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To comprehend the nature of correlation analysis. To understand the difference between positive and negative correlation To know the use of Bivariate Techniques To learn the different types of variables and scales
Factor Analysis Factor analysis is an interdependence technique in that an entire set of interdependent relationships is examined without making the distinction between dependent and independent variables. 3

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Correlation Correlational studies are used to look only for relationships between variables. Correlation assumes no cause and effect relationship between inputs and outputs. 4
Correlation There are three possible results of a correlational study : a positive correlation , a negative correlation , and no correlation . The correlation coefficient is a measure of correlation strength and can range from –1 to +1 5

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Positive Correlations Positive Correlations: means that both variables increase or decrease at the same time . A correlation coefficient close to +1.00 indicates a strong positive correlation .
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