“How to test the validity of pearson correlation” This is our first article that discusses spss tutorial. Actually validity test can be process in several ways, such as corrected total item correlation, factor analysis, but on this occasion we will share how to test a research questionnaire with pearson correlation spss (test of validity). First you should already have spss software installed on your laptop or computer. If you do not have, then the spss software can be downloaded on the official website of IBM. in this practice, We use spss version 22 to perform this validity analysis. Okay guys ,, follow these steps:

** First**, the variables to be tested

Variables that will be in the analysis of the validity is customer satisfaction

** Second**, the number of questions

Questionnaires for customer satisfaction variables consist of 7 questions

** Third**, the number of respondents

The respondents of this study were **20**

** Fourth**, the level is significant

Significance of research by **5% (0.05)**

* Fifth,* Testing Criteria

Valid if the correlation value (pearson correlation > r table)

Invalid if correlation value (pearson correlation < r table)

* Sixth,* define r table

The value of r table is determined by using the formula DF = n – 2, 20-2=**18** (N is the number of observations/respondents)

* seventh*, let’s see the data

* eighth*, let’s practice

**1** Open the data

**2**. Click analyze menu => Correlate => Bivariate

So a new window appears

**3** Move (q1, q2, q3, q4, q5, q6, q7, and customer satisfaction) to the right box by using the available button. Then click **OK**

**4** output SPSS

* Ninth*, conclusion

The conclusions will be adjusted to the test criteria

Question 1 = 0,526 > 0,444 => Valid

Question 2 = 0,667 > 0,444 => Valid

Question 3 = 0,501 > 0,444 => Valid

Question 4 = 0,569 > 0,444 => Valid

Question 5 = 0,634 > 0,444 => Valid

Question 6 = 0,675 > 0,444 => Valid

Question 7= 0,271 < 0,444 => Invalid

Okay guys, That’s all we can say about how to test validity with pearson correlation using spss. Thanks for visiting.

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