Transcription of Interpreting SPSS Correlation Output
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Interpreting SPSS Correlation Output
Interpreting SPSS Correlation Output Correlations estimate the strength of the linear relationship between two (and only two) variables. Correlation coefficients range from (a perfect negative Correlation ) to positive (a perfect positive Correlation ). The closer Correlation coefficients get to or , the stronger the Correlation . The closer a Correlation coefficient gets to zero, the weaker the Correlation is between the two variables. Ordinal or ratio data (or a combination) must be used. The types of correlations we study do not use nominal data. SPSS permits calculation of many correlations at a time and presents the results in a Correlation matrix.. A sample Correlation matrix is given below. The variables are: Optimism: Compared to now, I expect that my family will be better off financially a year from now. Life Satisfaction: Overall, life is good for me and my family right now. Entrepreneurial Interest:: I am interested in starting a business or investing in a business in the next six months.
Interpreting SPSS Correlation Output Correlations estimate the strength of the linear relationship between two (and only two) variables. Correlation coefficients range from -1.0 (a perfect negative correlation) to positive 1.0 (a perfect positive correlation). The closer correlation coefficients get to -1.0 or 1.0, the stronger the correlation.
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