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Correlations
Correlations Procedure Analyze -> Correlate -> Bivariate
1. Analyze 2. Correlate 3. Bivariate
Highlight the variables to be correlated
Press the button   The selected variables will be transferred here Press “OK” to execute the command Check “Pearson” Select “Two-tailed” Check “Flag significant correlations
Correlations Correlation coefficient of  p1  and  p2 = 0.480 Significant level of the correlation 0.000, normally written as  p ≤ 0.001 The sample size = 243 Typical hypothesis for correlation: H 0  : There is no significant relationship between p1 and p2 Correlation analysis shows that H 0  is not supported. This means that there is a significant relationship between p1 and p2 (r = 0.48, p ≤ 0.001)
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Using Spss Correlations

  • 2. Correlations Procedure Analyze -> Correlate -> Bivariate
  • 3. 1. Analyze 2. Correlate 3. Bivariate
  • 4. Highlight the variables to be correlated
  • 5. Press the button The selected variables will be transferred here Press “OK” to execute the command Check “Pearson” Select “Two-tailed” Check “Flag significant correlations
  • 6. Correlations Correlation coefficient of p1 and p2 = 0.480 Significant level of the correlation 0.000, normally written as p ≤ 0.001 The sample size = 243 Typical hypothesis for correlation: H 0 : There is no significant relationship between p1 and p2 Correlation analysis shows that H 0 is not supported. This means that there is a significant relationship between p1 and p2 (r = 0.48, p ≤ 0.001)