Three ways transformation of negative skewed data in SPSS Tutorial

Поделиться
HTML-код
  • Опубликовано: 3 май 2021
  • Three ways data transformation in SPSS
    Negative skewed data
    Log 10
    Square Root
    Reciprocal
    Whether you are an undergraduate or postgraduate student enrolled in Bachelor, Master or PhD study or if you are employed staff, researcher and whether you are in the field of Engineering, Medical, Biomedical, Health sciences, Economics, Business, Marketing or Social study or any other filed and have qualitative (questionnaire, survey) or quantitative (numeric) data to analyze and you want to become professional in statistical analysis using Statistical Package for the Social Sciences (SPSS) software. Follow my RUclips channel link and subscribe to get the latest released videos that are uploaded frequently. The channel will cover all aspects of data analysis gradually. If you are interested, then follow the link below and subscribe to view and select the topic you want to learn in SPSS.
    / @statisticstutor

Комментарии • 12

  • @obsefikiru7253
    @obsefikiru7253 Год назад +1

    God bless you!

  • @RandomAdam5
    @RandomAdam5 Год назад +1

    Thank you, SQRT worked for me, the others for whatever statistical did not lol. Thank you

  • @zhehabeshascience3066
    @zhehabeshascience3066 3 года назад

    good

  • @mostafajerari7560
    @mostafajerari7560 Год назад

    Hi. Could you tell me how to solve the problem of inverted signs (positive/negative) of the outer weight (Path coefficients) in Smart PLS. Thank you

  • @Ayi7ge
    @Ayi7ge 24 дня назад

    My skewness variabel Y is negative but can be normal with LOG10(x) is it allowed? Or must be outlier?

  • @riase
    @riase 2 года назад

    Your example was done on a negatively skewed variable. Do you follow the same steps for positively skewed ones?

    • @StatisticsTutor
      @StatisticsTutor  2 года назад

      Ckeck my channel list as i have few videos on positive skewness.
      Subscribe to the channel to get more new relaese.

  • @noelmunda5387
    @noelmunda5387 3 года назад +1

    What if the data are still not normal after having the transformation?

    • @StatisticsTutor
      @StatisticsTutor  3 года назад +1

      look at all the videos I have uploaded the one with slides and description as they might give you hints. Otherwise, Use non parametric tests and analysis

  • @kirtideswal3921
    @kirtideswal3921 Год назад

    How we show transportation data in analysis in an article

    • @StatisticsTutor
      @StatisticsTutor  Год назад

      You donot need to show it just mention it in the article or stick to non parametric test

  • @A.M05556
    @A.M05556 Год назад

    Hello dr.
    Your data was normal you didn't need to transforming data
    Shapiro wilk it isn't valuable when your data is more than 300 number
    Skewness and kurtosis is better criteria