Three ways transformation of negative skewed data in SPSS Tutorial
Vložit
- čas přidán 3. 05. 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 CZcams 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
Thank you, SQRT worked for me, the others for whatever statistical did not lol. Thank you
God bless you!
good
My skewness variabel Y is negative but can be normal with LOG10(x) is it allowed? Or must be outlier?
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
Your example was done on a negatively skewed variable. Do you follow the same steps for positively skewed ones?
Ckeck my channel list as i have few videos on positive skewness.
Subscribe to the channel to get more new relaese.
What if the data are still not normal after having the transformation?
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
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
How we show transportation data in analysis in an article
You donot need to show it just mention it in the article or stick to non parametric test