How to Clean SPSS Data

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  • Опубликовано: 14 июл 2013
  • This video will teach you valuable skills to prepare your data for analysis in SPSS by describing the process of running frequencies, replacing missing data, and recoding items for reverse coding.
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Комментарии • 26

  • @kshipramoghe3361
    @kshipramoghe3361 9 лет назад +10

    This has been by far the most clear, simple and easily explained video about missing data...thanks a ton..

  • @OutsandingMan2007
    @OutsandingMan2007 10 лет назад +2

    Awesome example of using SPSS Data cleaning and screening. We are using that program in our courses a lot of students did not know what cleaning and screening of data was when using the software. This was a great example of explaing, observing the data and being able to view all the input of data. Thanks for the upload CPG Orlando. Your video really help out with understanding SPSS Data cleaning and screening.

  • @lucyallerton8476
    @lucyallerton8476 3 года назад

    Bless you! Thanks for explaining data cleaning so simply :)

  • @PeopleHealthDevelop
    @PeopleHealthDevelop 5 лет назад

    Worth video tutorial to watch. Please keep it up!

  • @banderalmohayya
    @banderalmohayya 7 лет назад

    Great video! Thank you.

  • @chipsamy
    @chipsamy 6 лет назад +12

    Shout out to Naomi Malone for being online on skype.

  • @auwwow
    @auwwow 8 лет назад +1

    is this method can be apply on any type of measurements (scale/nominal/ordinal)?

  • @indrianioka
    @indrianioka 10 лет назад +1

    thankyou, very helpful :)

  • @hassanalmurshedi9821
    @hassanalmurshedi9821 7 лет назад

    Thanks a lot, it was helpful

  • @elhamhadinia3984
    @elhamhadinia3984 9 лет назад

    thanks, it was so useful.

  • @mahaali2608
    @mahaali2608 7 лет назад

    very nice video

  • @bpbhattarai
    @bpbhattarai 3 года назад

    Good work

  • @i.a.o.2909
    @i.a.o.2909 9 лет назад +14

    Mean substitution creates a biased result. One has to analyze the pattern of missingness (MCAR or MAR or missing non at random) and then apply the appropriate missing data treatment technique.

  • @ignaciocalderon6937
    @ignaciocalderon6937 10 лет назад

    Thanks :)

  • @prinyecookey5526
    @prinyecookey5526 2 года назад

    wow. thank you is all I can say

  • @dimitratsichla1261
    @dimitratsichla1261 3 года назад

    thanks for the video! how can i reverse code items when the numbers are continuous? like from 0-100 but there are numbers like 87.43 etc because its on a sliding scale

  • @SuperLeonieXD
    @SuperLeonieXD 2 года назад +1

    I have 225 respondents. For some reason the frequency table says I have a lot of missing data. For example, there's one item where 222 are missing but all the data is visible in the data view. What am I doing wrong?

  • @saleh4187
    @saleh4187 6 лет назад

    thanks

  • @chouzenz5642
    @chouzenz5642 3 года назад

    wow, you make my day! :D

  • @lasmariaaruandra5860
    @lasmariaaruandra5860 6 лет назад

    Thanks my Totor

  • @statistikochspss-hjalpen8335
    @statistikochspss-hjalpen8335 3 года назад +2

    Misleading title. Where is the cleaning part? You just recoded a few variables in a very ineffective way.
    In order to reverse you can just take the highest value and add 1.
    6 minus the variable name would be more effective way of reversing.
    But seriously, change the title of the video. That isn't cleaning data.

    • @SuperLeonieXD
      @SuperLeonieXD 2 года назад

      Do you happen to know another video?

    • @statistikochspss-hjalpen8335
      @statistikochspss-hjalpen8335 2 года назад

      @@SuperLeonieXD Hi! What kind of video are you looking for?

    • @statistikochspss-hjalpen8335
      @statistikochspss-hjalpen8335 2 года назад

      @David Alejandro Aparicio Cleaning data is not recoding data. Cleaning data could be fixing the data into different formats for example. We first must define what data cleaning is.