Poisson versus negative binomial regression in SPSS (2018)

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  • Опубликовано: 11 сен 2024
  • This video provides a demonstration of Poisson and negative binomial regression in SPSS using a subset of variables constructed from participants' responses to questions in the General Social Survey (GSS). The video covers reasons why you might use these procedures generally and the relationship between the procedures. It covers the topic of dispersion and why you might choose to model your data using negative binomial regression (i.e., when you have overdispersion in your data) as opposed to Poisson regression. This video demonstrates Poisson and Negative binomial regression when you DO NOT have an offset variable. Be sure to see my other video on these procedures that include the use of offset variables ( • Video ).
    A copy of the dataset used in this video can be downloaded here:
    drive.google.c...
    For a nice discussion of these procedures (including the discussion of how to identify overdispersion using the methods used in this video), you should check out this resource (which informed this video presentation): www.routledge....
    For more instructional videos and other materials on various statistics topics, be sure to my webpages at the links below:
    Introductory statistics:
    sites.google.c...
    Multivariate statistics:
    sites.google.c...

Комментарии • 25

  • @shixianluo8129
    @shixianluo8129 Год назад

    Thanks for your helpful video that helps me finally know the details about these two regressions!

  • @samall9080
    @samall9080 Год назад

    Amazing content. Thank you for teaching me new information

  • @bmcvinke
    @bmcvinke 4 года назад +7

    Hi Mike! Thanks for this tutorial, it's super helpful. I was just wondering when you have to put your independent variables in the factor box and when you have to put your independent variables in the covariates box. Thanks a lot!

  • @shuhanyang4648
    @shuhanyang4648 3 года назад

    Thank you so much!!! Your tutorial saved my thesis!

  • @mauriceligulu6782
    @mauriceligulu6782 4 года назад

    Very useful Mike, you have explained it so well

  • @mariaidrees5177
    @mariaidrees5177 Год назад

    Thank you so much for this super amazing video. It’s really helpful.

  • @HanaZianiB
    @HanaZianiB 3 года назад

    Great video! Very clear and helpful.

  • @mikecrowson2462
    @mikecrowson2462  Год назад

    For an updated video on Poisson and negative binomial regression using SPSS, please go here: ruclips.net/video/wBGprqJJlTU/видео.html

  • @malka5279
    @malka5279 3 года назад

    this was incredibly helpful, thank you!!

  • @nguyetluu8138
    @nguyetluu8138 4 года назад +2

    Hey Mike, what should I do if I have control variables? thanks.
    And how can I do if I want to enter the variables in multiple level like in hierarchical regression?

  • @JohnParavantis
    @JohnParavantis 6 лет назад +2

    Very informative tutorial Mike, thank you! A couple of points, if I may. It's spelled "overdispersion" (with an "i" near the end)! Also, your microphone seems to falter (kind of on and off) at around 23 minutes. Finally, please see if you can achieve 720p or 1080p in forthcoming tutorials.

    • @mrhrhoff
      @mrhrhoff 5 лет назад

      I agree! Very helpful. By any means, do you have any experience for implementing lagged IVs into a Poisson or neg. binomial regression? I'm doing research on M&As & implementing the lag would be really helpful.

    • @wc389
      @wc389 3 года назад

      yawn

  • @brianfantana9773
    @brianfantana9773 3 года назад +1

    Great Video! Does negative binomial regression analysis provide the amount of variance in the outcome variable captured by the predictor variable (i.e., something like an R-squared value)?

  • @mikecrowson2462
    @mikecrowson2462  4 года назад

    DEAR INTERESTED VIEWERS: I HAVE RECENTLY UPLOADED TWO NEWER VIDEOS (2019) ON POISSON AND NEGATIVE BINOMIAL REGRESSION, WHERE THE SOUND QUALITY IS MUCH IMPROVED. ADDITIONALLY, I HAVE INCLUDED LINKS TO LEARNING RESOURCES UNDERNEATH THE VIDEO DESCRIPTIONS. PLEASE CONSIDER VISITING THE FOLLOWING TWO LINKS FOR THOSE VIDEOS: POISSON REGRESSION (ruclips.net/video/LMusRSeYkWE/видео.html) and POISSON AND NEGATIVE BINOMIAL REGRESSION WITH OFFSET VARIABLES (ruclips.net/video/DTPKiLGUuJE/видео.html).

  • @mohammadtamimkashifi9570
    @mohammadtamimkashifi9570 4 года назад +1

    Useful, thank you!

  • @nguyetluu8138
    @nguyetluu8138 4 года назад

    this is very useful! thanks a lot!!

  • @esmee7163
    @esmee7163 Год назад

    Hi, are the standard errors in the negative binominal regression robust? Or where can I do that?

  • @simrann
    @simrann 2 года назад

    Hello sir , I had a doubt . In the negative binomial model with custom what does it signify to put estimated values ? How do I interpret that ?

  • @joseadr97
    @joseadr97 2 года назад

    Nice video Mike, if I include in a paper a binomial regression, in the table made with the cofactors and their respective Incidence rate ratio's and I.C, which data should I include in the description of the table? The omnibus test and the deviance? Thank you!

  • @pazenriqueguillermo
    @pazenriqueguillermo 4 года назад

    Thank so much for this video! Very informative. Can I ask You? Is there a way to run a beta-binomial regression in SPSS. Thank you again!

  • @francescotirinato856
    @francescotirinato856 4 года назад

    Can I use this approach to ruan a BG_NBD Analysis for a customer's CLV prediction ?

  • @madelinerenee1168
    @madelinerenee1168 4 года назад

    Thank you so much for this tutorial; it is incredibly useful! I do have a question. If received my data from a de-identified chart review and am unable to create an exposure variable to use as an offset variable, does this reduce the accuracy of my negative binomial regression?

    • @mikecrowson2462
      @mikecrowson2462  4 года назад +2

      Hi Madeline, you're very welcome. If your cases have different levels of exposure, then this might reduce the accuracy of the results since you wouldn't be controlling for exposure differences. This would be a limitation of your study. However, if you believe there are small or no differences in exposure, then there would be little to no need to include an offset variable. best wishes!