These post of Validity and reliability test will explain clearly, starting from the definition, criteria, to decision making test. The explanation will be presented separately between the validity and reliability test. We will provide examples in real way testing using SPSS program. Follow this explanation:
Validity testing is used to determine the degree of validity and validity of the measuring instruments used in the study (eg questionnaire). That is, a valid research instrument is a truly appropriate instrument for measuring what will be measured.
The criteria that can be used for validity testing are:
Instrument valid if correlation value> 0.3
Instrument valid if correlation value> r table (r table value can use formula DF = n-2)
Level of significance used:
1. 0.05 / 0.1
2. 0.025 / 0.05
3. 0.01 / 0.02
4. 0.005 / 0.01
5. and others
To see examples of validity testing methods using the SPSS program, please go here.
Reliability testing is used to define an instrument can be used more than 1 time, meaning the respondent’s assessment will produce the same or consistent value. In other words, the reliability test is used to see the consistency of a research inquiry.
Criteria that can be used for reliability testing:
Reliable instrument when the value of cronbach alpha> 0.6
A reliable instrument if the value of cronbach alpha> r table
More about how to test reliability using SPSS can be found here.
That’s all the information we can share about validity and reliability tests with spss statistics. We hope this article useful. 🙂