Hierarchical logistic regression using SPSS (May 2021)

This video demonstrates how to perform a hierarchical binary logistic regression using SPSS.
Download a copy of the SPSS data file referenced in the video here:
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Download a copy of the Powerpoint referenced in the video here:
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For other videos on logistic regression, be sure to visit:
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[@candicebasterfield5356]

Your videos are so helpful! Thank you so much.

[@dsavkay]

Great!

[@tamannaafroj8231]

Please make another video on how to present the results in an APA table. Do you have any references for that?

[@RawaaMuhandes-bp7lu]

Thank you for your video. Is there a way to do hierarchal multinomial regression ?

[@degaston_family]

Thank you!

[@ahsanqureshi3467]

Hi Mike, I need some guidance on Need HELP Please 😊
Am running into an issue "according to my supervisor" . As I am not a Stat's person and using AMOS / Stats for the very first time. Would you be able to guide what am I doing wrong / error I am making. I have 7 scales / 27 items (6IV 1DV), my supervisor asked me to run model fit indices for 7, 6, 5, 4, 3, 2, 1 factors and draw a table comparing indices for CMIN, DF, CMIN/DF, CFI, SRMR, RMSEA, PClose. separately i.e., model fit for scale 1 with 6 items, scale 2 with 5 items ........

[@jayashreelaxmekuppuswami8600]

I think u need to show the model fit after adding each of your IV to the model. Ur supervisor is probably asking for the r squared and such model fit parameters....hierarchical reg is to be done with each IV in each block ....so six blocks plus block 0..total 7 blocks will generate and u need to inspect the model parameters from block 1 to 6.. and document

[@econometricandstatisticala8020]

Hi, I need some guidance, how can I apply hierarchical logistic regression through CSPLAN in SPSS

[@mejedintena8478]

in spss, it is not possible, specially if your independent variable has three or more categories. only binary IVs are accepted in spss using csplan file (complex sample)

[@benergy3343]

Is it possible to do this whilst controlling for variables

[@mikecrowson2462]

At each step along the way, the effects of the predictors at are controlling for variables that are added in earlier steps. If you have a set of variables you wish to control from all models (e.g., gender, age), then simply specify a model with these variables in Block 1, and then add in the main variables of interest in later blocks.

[@benergy3343]

thank you so much@@mikecrowson2462 i am in the last 10 days of finishing my masters and this helps so much