Cronbach's Alpha - SPSS (part 2)
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- Опубликовано: 3 окт 2024
- Conduct and interpret an internal consistency reliability analysis through Cronbach's alpha, the corrected item-total correlations and the inter-item correlation matrix. Guidelines for identifying adequate levels of reliability are also provided.
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I'm a teacher of psyc research methods and stats at a community college and I want to say that I appreciate your videos! Thanks for the clear explanations and also links to primary source materials!
You, Sir, have saved my university education! Thank you! Great Videos and very easy to understand!
Helpful. As always. My go-to statistics/SPSS page :)
Exactly what I needed. Great job. Thanks for helping us newbs!
Thank you very much for the great explanation!!! :)You've been very helpful!!!
Your explanation is so clear. Thank you so much, Sir.
Finally somebody who knows what they are talking about. Can I suggest you something if you will? When you are explaining the numbers in terms of reliability and what is acceptable, could you elaborate it with help of the real data. Like if the numbers were to change reliability figures, how the real data would be affected. Anyway, thanks for this great explanation.
Really Appreciate for your contribution. The content gives a very good insight on cronbach's alpha.
Thank you very much , your tuto helped a lot :). From a French student !
with all your videos you got me beyound my limits, thanks!
Youre a hero! i finally understand the cronbach's alpha :)))
very helpful helped finish my research faster and easily..keep it up
Strictly speaking, I do not believe SPSS produces item discrimination index values. However, the corrected item-total correlations will give you nearly the identical information (from an interpretation perspective). It's rare to see people use item discrimination index values these days.
Great to have your clips next to my homework! Thanks a lot for the help!
Brilliant video! Very clear! Thank you so much for sharing your knowledge!
This presentation was very #helpful ... Thank you.
Nikki
Thanks a million!!!!! I needed this so badly!
Very detailed explanation. thank you very much, excellent!
You would only interpret standardized Cronbach's alpha if your data are standardized (e.g., z-scores or T-scores, etc.). You don't "pick and choose".
usually, there is not a lot you can do, except admit that your scale is not internally consistent enough to interpret meaningfully. Sometimes you can drop more than one item to enhance Cronbach's alpha, but not often. If you are knowledgeable enough, you could try analysing polychoric correlations or tetrachortic correlations rather than Pearson correlations, depending on how your items are scored. I haven't covered that yet. Perhaps google will help you find something.
thank you so much! very helpful!
@usmanisah
The link to the webpage with the references I mention is in the summary of the video; check underneath the video and then press the downward arrow to expand the area; the link will become visible. RUclips won't let me post the link in this response, unfortunately.
Thank you so much. You helped me a lot.
what a great explanation
Clearly explained. Thanx.
Good presentation
Enjoyed the video and very helpful. However, I am not clear how to interpret the SPSS report when item discrimination needs to be discussed. I guess my question is how do if find the item discrimination on a SPSS report. Thank you.
thank you so much. I am writing my dissertation an this helpful
It's impossible to calculate Cronbach's alpha on one variable. You need at least two. Include the variables you are interested in with respect to their corresponding internal consistency reliability.
Very useful! Thank you.
Excellent video, thank you.
very clear and helpful! thank you
Thank you! very clear explanation
Thank so much for the explanation. Now what reliability mean clear to me
You are a life saver
Very helpful and good explanation. Thank you! I just have two questions to the understanding of results regarding Cronbachs Alpha:
1) In the 'Inter-item Correlation Matrix' is there any "rule of thumb" of what should be the highest and lowest scores in the table? Example; if you have scores like .787 and .858, will these be ok or should they not exceed .70?
how 2 stats boy, leeeegend
Very useful, thank you
I love you, man.
Thank you, Sir for this tutorial. I have a question, I got .938 Cronbach's Alpha value.
According to the value table, I should shorten my scale. What does that mean to shorten the scale? The items? Or the number of items? Thank you so much.
great explanation, thank you!
Great video. If you have a negative cronbach's alpha. What actions can you take to get the number positive?
excellent video
well explained
Super helpful! Thank you!!!!!!!!
Hi Thanks for tutorials, really interesting and informative. I have learnt a lot. You said at the end of ur video that you were going to provide some references on Cronchbach's Alpha but I couldn't find it.. Please could you provide some if you can, thanks.
Hi your tutorials are very helpfull. I have a questions. If the covariance between items of a test is high, what does that say about the Cronbach's Alpha?? Please help me....
Very helpful. Thanks!!
how do we then improve the inter item correlation matrix. Any videos?
This video is so useful!!
I encounter a problem is that, what if some of the items of my questionnaire are intentionally negative-statement and the other items are positive-statement,
and those negative statements are NEGATIVELY CORRELATED as shown in the item-total correlation matrix,
what shall I do???
Thank you so so much!!
Thank you for your helpful videos. I am struggling to find the reference to back up that it is justifiable to accept a range of 0.2 to 0.7 for corrected item-total correlation. Please help :)
very helpful..thank you
Thanks for the suggestion, dc78. MLM is a pretty specific type of analysis (I never come across them expect in the context of education research), but I imagine I'll get around to it eventually. If you come across a really interesting empirical study that has used MLM, perhaps you could send it to me.
Thank you!
But what the minimum number of cases should be in base for checking alpha?
thank you!
The video cut out right when I got to the interpretation part I needed and I was like 0.o NOOOO!!!! But whew, found this! All will end well.
very well explained! Please may I know any cut off scores for inter-item correlation?
Hello, thank you so much. Please answer me. Do I calculate the Cronbach's alpha separately variable by variable, or the whole 5 or 6 variables together (which is my case)?
I do thank you. Very helpful!
thank you, it's very clear !
Thank you! I think I missed the link to the web page?
Thanks a lot
thanks!
2) In the 'Item-Total Statistics' and the 'Corrected Item-total Correlation'; the items should be between .30 and .70 (.75) however, if you have scores that are above .75 (example; .813) would you then say that the iten should be deleted or kept? The item of .813 does not indicate that Cronbachs Alpha could get any higher by deleting the item.
Thank
What is the meaning of if the determinants value is less than 0.0001,and data found to be 5.857E-16 which is less than 0.0001? I am unable to understand how is it less than
I am new to learn this,if anyone guide me how to explain it
very helpful thanks
Very helpful :)
Nice sharing... thanks for it
Hey thank you for your tutorial. Is it possible to have the database?
Thanks
Alice
I found the reference to corrected item-total correlation >0.3, but not >0.2. Kindly help
Can you explain me how you manualy calculate Crombach's alpha if item deleted? from the SPSS output..
Dear Sir, in the video above the cronbach alfa is .65 and if we delete item 15 (EOT) the cronbach alfa would increase to .664. My question, is the process of deletion of undesirable item (in order to increase overall value of cronbach alfa considered as a instrument calibration ?
Hi there, thanks for the helpful videos, I'm a bachelor student currently doing my marketing thesis, and had a few questions regarding SPSS. is there an email i would be able to contact on, it would only really be two questions and of real help. Kind regards. Michael
Nice video, thank you.
Now you added the items for each subscale.
Do you also have to do the same for the subscales? (so you enter the subscales, not the items)
Good question! The answer to that question is a little complicated. Check out: Gignac, G. E. (2014). On the Inappropriateness of Using Items to Calculate Total Scale Score Reliability via Coefficient Alpha for Multidimensional Scales. European Journal of Psychological Assessment, 30(2), 130-139.
haha the proof in the pudding. lovely proverb, had to look it up first
I love you!
what if the corrected item correlation is below 2.. should we delete the item??
thankyou so much
can I do Cronbach Alpha test on question (30 Questions) with (true / false) answer? anyone?
You sound like christian Bale. And thanks for the help
callmetall1 sounds like daniel bryan lol
thanks
I just want to cry😩😩😩😩,
if my cronbach's alpha is 0.4 what does mean 0.5 , 0.6 , 0.7 , 0.8 ?
0.4 sucks balls
I got it as .95!!
herooooooooooooooo