Update

I have a scale (12 items)

I go to Analysis -> Scale -> Reliability analysis and get my Cronbach alpha (0,5)

BUT 2 of my items are «inverse». If I recode this two items as it was not inverse I get alpha=0.8

Am I right? I should recode this items before counting Cronbach alpha?

written earlier

I conducted a study (correlation plan).

I used (including) 2 psychological tests, which were adapted by another author according to all the rules.

And I run into problems:

Situation1 (solved)

My first test (14 items) has 2 subscales. In Ukrainian adaptation, the Cronbach alpha for the scales is 0.73 and 0.68. But I did my own research and counted Cronbach's alpha. 0.65 and 0.65 came out.

Question1: Should I count correlations with this test or, maybe, exclude this test from analysis?

Situation 2 (see update)

My second test is Zimbardo’s Time Perspective Inventory (56 items). In Ukrainian adaptation, four of five scales have Cronbach Alpha above 0.7. One scale is 0.65.

But in my research everything is ok only with 3 scales, they are higher than 0.7.

Two scales have a very low Cronbach Alpha: 0.55 and 0.49.

Question2: should I exclude this two low scales and count correlations with only that 3 scales which Cronbach Alpha more than 0,7?

PS: N=336 in my study

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