How to do Data Cleaning in SPSS

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  • Опубликовано: 1 окт 2024
  • This video will explain in depth different ways of cleaning data with multiple errors prior to statistical analysis.
    Ordinal, continuous, nominal, binomial, multinomial, dichotomous, intervals, ratio, categories, classes, incorrect data, missing data, irrelevant, duplicate, improper formatting, variable types, inconsistency, outliers, vales, labels, scale, measure, find, replace, transform, analyze, frequencies, mean , median, maximum, minimum, replace missing values, series mean

Комментарии • 10

  • @AnwaraHappy
    @AnwaraHappy 3 месяца назад +1

    Excellent SPSS presentation and very useful data-cleaning process.

  • @walterprater8738
    @walterprater8738 8 месяцев назад +1

    Excellent explanation of data cleaning procedures. Thank you Dr. Omar!

  • @sameerzakariya3238
    @sameerzakariya3238 2 месяца назад

    Good morning doctor Mahmoud
    Please, can you make a video on:
    How to read, interpret and write the results (output tables) of non-linear regression in SPSS?
    Thank you
    Best wishes
    Doctor Sameer

  • @arzookhezri768
    @arzookhezri768 2 месяца назад

    Very useful and beneficial presentation. If a question has many choices which have to be ranked inorder of preference, in the variable view what do we assign for the type and measure of that question?

  • @michaprincess
    @michaprincess Месяц назад

    Fantastic video. Very helpful!

  • @yasinyunis902
    @yasinyunis902 7 месяцев назад

    Excellent SPSS presentation. The best I have seen so far. Thank you!

  • @juliocerono_stone5365
    @juliocerono_stone5365 4 месяца назад

    you can not make a 43 minutes video !! contents are ok but ....

  • @ghaniyyahmaleeq7530
    @ghaniyyahmaleeq7530 8 месяцев назад

    Nice one on data cleansing on spss. Highly informative

  • @workuketema8922
    @workuketema8922 Месяц назад

    It is a very useful video.

  • @enonperera9467
    @enonperera9467 6 месяцев назад

    Dr, please share the link for outliers please ?