Reliability test


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How can I run reliability test for panel data?

1 comment to Reliability test

  • Test of reliability is required to estimate the consistency of any measurement. The test is considered as reliable if it would get same result after a span of time. That means it is desirable the measures of constructs are not expected to change over time. There is several ways to estimate data reliability, the most commonly used are Test-retest, Split-half, and Internal Consistency reliability. Every method has some advantages and disadvantages simultaneously. So it is important to pick the right test in right situation in your SPSS research.

    Test-retest reliability is applicable in SPSS research when the test would administer twice at two different points of time. This type of test is used to estimate the consistency of data across the time. This reliability assumed there would be no dissimilarity in the data being measured. Therefore Test-retest reliability found best test for measuring consistency in data over time. The main thing need to concern that the test-retest reliability has effect by respondent’s memory. And it’s effect much when the two surveys are close together in time. Moreover, this estimator is especially doable in both experimental and quasi-experimental designs that doesn’t contain control group. The disadvantage of this test is that researcher can’t get any information about the consistency until the round up survey would be done. To know the data has less reliability or not, researcher has to wait for getting second survey data.

    Again, each reliability estimators produce different value for reliability. Usually, internal consistency ones estimate higher value rather than the test-retest and inter-rater reliability estimators because this measurement can use in different times or with different raters. Test of reliability often used in statistical analyses of quasi-experimental designs. And different estimates can differ considerably makes the analysis even more complex in SPSS research.

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