Four Types of Reliability: Test-Retest, Internal Consistency, Parallel Forms, and Inter-Rater 

Glad it was helpful!

I'm glad you found it useful.

Hi Kamonasish, A lot depends if you can match the respondents' responses at Time 1 with their responses at Time 2. If each questionnaire identifies if it was completed by Respondent 1, Respondent 2, etc., then you need to keep all of Respondent 1's responses on one line in Excel. You will have a total of 20 lines and as twice as many columns as you had questions (Time 1 responses plus Time 2 responses). If you cannot match Time 1 responses with the Time 2 responses, You need to put the 40 responses in 40 different rows. You will need to add a column to indicate if it was Time 1 or Time 2 (e.g., put a 1 or 2 in the new column to indicate if it was from Time 1 or Time 2). You can do this through copying pasting, making sure that you have the respondents in rows and the questions in columns.

@@DavidDunaetz Thank you. I have identified every respondents answers. As per your suggestion, I have, now, 20 rows and and 20 columns (For T1, I have 20 rows and 10 columns and for T2, I have 20 rows and 10 columns). Now, in SPSS, once I import this data, I'll have to click Analyze> Correlate> Bivariate>select all variables and check Pearson's coefficient, two-tailed test, Flag significant correlations, and click OK. The resulting table will have 1 diagonally and Pearson coefficients and Sig (2-tailed) value. Is my understanding correct? For interpretation of this table, I may have to watch your video on correlations. Right?

@@DavidDunaetz In addition to my previous clarification, do I have to check the correlation value of respondent 1's reply to the same question at T1 and T2? I need not bother about other column values? I watched your video on 'Interpreting Correlation' but did not understand how do I look at it on SPSS output.

That sounds correct!

Many of the correlations in your table of correlations will not be meaningful. It sounds you are primarily interested in how Question 1 at Time 1 correlates with Question 1 at Time 2, how Question 2 at Time 1 correlates with Question 2 at Time 2, etc. Other correlations may be interesting also.

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