Advanced Multiple Response Techniques in SPSS - Missing Data, Range of Responses, & Combining Values

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  • Опубликовано: 21 авг 2024
  • In this video I show you three techniques that can be particularly useful when analyzing Multiple Response data in SPSS. You will learn how to Replace Missing Values (missing data) when you will want a complete dataset, especially with crosstabs. This second technique uses the range option for when you have more than one counted value that you want included in your multiple response set. The third technique is combining categories when you have two answers that you want to consider together, instead of separately.
    This video uses the datasets TeacherJobSat.sav and GSS2016.sav.
    Data from previous years of the General Social Survey are also available.
    National Opinion Research Center (NORC) at the University of Chicago
    gss.norc.org/ge...
    This video teaches the following commands and techniques:
    Multiple Response
    Define variable Set
    Crosstabs
    Recode into same variables
    Link to a Google Drive folder with all of the files that I use in the videos including the TeacherJobSat.sav and GSS2016.sav datasets.
    drive.google.c...

Комментарии • 14

  • @wesleybrowning4551
    @wesleybrowning4551 3 года назад

    As others have said. You have literally saved my day and my dataset with this video. Thank you so much for your wisdom!

    • @ResearchByDesign
      @ResearchByDesign  3 года назад

      I'm very glad to hear that. You're so welcome!

    • @anthonylionel671
      @anthonylionel671 3 года назад

      you all probably dont care at all but does anybody know a tool to log back into an Instagram account??
      I stupidly lost my password. I would love any help you can give me!

  • @mawulimichaelakpe-doe5144
    @mawulimichaelakpe-doe5144 3 года назад

    This is simply simple to comprehend. Great!

    • @ResearchByDesign
      @ResearchByDesign  3 года назад

      Glad you think so! Hope it will be helpful to you

  • @92erikaaa
    @92erikaaa 3 года назад +1

    Thank you sooooo so much!!! You saved my day! :D Was extremely helpful, I searched all the RUclips for smth like that, because lots of video explain how to deal with variables when the data is already coded :/

    • @ResearchByDesign
      @ResearchByDesign  3 года назад +1

      You are welcome! Thank you for your kind words

  • @sunilgosavi8889
    @sunilgosavi8889 3 года назад

    Very useful...thanks a lot....It is the best technique to analyze multiple data in SPSS.

  • @nataliaandrade248
    @nataliaandrade248 4 года назад +3

    I am new to the Chanel, but everything I’ve seen so far has been really helpful! Thank you so much! I have a problem that I think hasn’t been covered yet, so I’d like to suggest it for following videos: if I have a scale measure, can I automatically create nominal categories in spss. I mean, height (scale), for example, can I categorize people as tall (1), medium height (2), short (3)?? Thank you!!!

    • @ResearchByDesign
      @ResearchByDesign  4 года назад +1

      This is a video about age banding. I took a scale variable (age) and created categories. I think that you can use the same technique for your scale variable (height). Good luck: ruclips.net/video/ax-MQHqBWtM/видео.html

  • @amalpt4827
    @amalpt4827 3 года назад

    Sir,
    In my survey data - Gender , all respondents are male, i have added gender values as1= Male, 2= Female. for fetching the value in frequency table. but when doing frequency testing result is not displaying female and just showing male =100%. can you hlep me with this
    Thank you

    • @ResearchByDesign
      @ResearchByDesign  3 года назад

      Yes, SPSS will only show a category in a frequency table if there is at least one data point in that category. If there are no females, the category will not even show up. Add a new case coded 2 for female and you will see it appear in your frequency table. Good luck

    • @amalpt4827
      @amalpt4827 3 года назад

      @@ResearchByDesign thank you