Excellent explanation .. if I don’t have any values greater than +3 or -3 that means there is no outliers so why tukey post hoc test didn’t appear in ANOVA ?? Help me if you please
@researchwithfawadАй бұрын
You need to check it in Post Hoc Analysis.
@mastersilvaworld17 күн бұрын
Dear Prof, if you have used online survey to get data using Lickert's scale, does this outlier problem occur?
@researchwithfawad16 күн бұрын
Yes it can still be an issue.
@chantellewong19527 ай бұрын
Thank you very much for your tutorial. May I know if +/-3.3 the magic number? I have seen some said 2 some said 3. May I know if you have a reference to it? Thanks a bunch!
@researchwithfawad7 ай бұрын
Thanks for watching. Here is the reference for outliers. Based on the recommendation of Fein et al. (2022), outliers were assessed using the Standardized (z) scores. A total of ......….. responses were outside the acceptable z score (+/-3.3) (Fein et al., 2022). The responses outside the acceptable threshold were removed from further analysis. Fein, E. C., Gilmour, J., Machin, T., & Hendry, L. (2022). Statistics for Research Students: An Open Access Resource with Self-Tests and Illustrative Examples. University of Southern Queensland.
@chantellewong19527 ай бұрын
@ResearchWithFawad Thank you very much Sir!
@sumayyaalsefri7174 ай бұрын
Hello, Can I use just minimum and maximum values to detect outliers as you did in the first way? without Z score? can you give me a reference to support this?
@researchwithfawad4 ай бұрын
Yes, you can use the box plot. Any SPSS book can be used as a reference that discusses outliers using Boxplot.
@mansoralzahrani29267 ай бұрын
Should I consider checking outliers with Likert data? And how? Please provide a reference to refer to. Thanks.
@researchwithfawad7 ай бұрын
Yes with Likert Scale data. For reference Based on the recommendation of Fein et al. (2022), outliers were assessed using the Standardized (z) scores. A total of ......….. responses were outside the acceptable z score (+/-3.3) (Fein et al., 2022). The responses outside the acceptable threshold were removed from further analysis. Fein, E. C., Gilmour, J., Machin, T., & Hendry, L. (2022). Statistics for Research Students: An Open Access Resource with Self-Tests and Illustrative Examples. University of Southern Queensland.
@mansoralzahrani29267 ай бұрын
@@researchwithfawad Thanks! Do I have to do it even if I will use SmartPLS for SEM-PLS? and why?
@researchwithfawad7 ай бұрын
Yes it is process of cleaning the data.
@mahwishayanjawed42394 ай бұрын
Asslamalaikum Sir Is there any video for identifying multivariate outliers using Mahalanobis distance?
@researchwithfawad4 ай бұрын
Not yet.
@kamilaammar2310 Жыл бұрын
many thanks, may i have a reference to justify keeping outliers based on z score
@researchwithfawad Жыл бұрын
Pleasure. I am glad you liked it. Here is the reference Statistics for Research Students: An Open Access Resource with Self-Tests and Illustrative Examples by ERICH C. FEIN; JOHN GILMOUR; TANYA MACHIN; AND LIAM HENDRY, UNIVERSITY OF SOUTHERN QUEENSLAND TOOWOOMBA
@alittlefishhh6 ай бұрын
jazakallahu khair, but may i ask you a question. i checked my data, which is total scores of a scale used on my psych research. i followed your guide, 1. checked the boxplot, but there is no star/circle outlier, 2. but when i check the frequencies, 22.5% of my data is on the highest quartile 3. checked the histogram, but my data is not showing bell-curve you normally found on normal distribution data 4. checked for the z-score (standardised score), but all of the value is in range of +/- 3.3 (highest is +1.32, there are 25 data out of 109 total that has the EXACT same value; while the lowest is -1.9, there are only 2 data out of 109 that has the exact same value) do you think i should transform my data? please guide me :(
@alittlefishhh6 ай бұрын
and to add more context, when i analyze my second variable. the data is normal: 1. the histogram is kinda bell-curved in the middle 2. the highest and lowest z-score is +2, and -2 (its all different, unlike the first variable above) 3. and the significance value is >0.5 4. no outliers on boxplot
@researchwithfawad6 ай бұрын
Thanks for watching. Even if one of the techniques shows no outliers, that can be enough for further analysis.
@rhafi22017 ай бұрын
Assalamualaikum brother, if i have 495 samples, would trimming 100 outliers is okay? Thankyou very much
@researchwithfawad7 ай бұрын
WAS. It is slightly on a higher side. But still if the remaining sample meets the minimum sample size criteria, you are good to go.
@rhafi22017 ай бұрын
@@researchwithfawad thankyou very much for the reply brother. May i ask again if it's okay. How much is too much regarding trimming the outliers and how much is enough.
@MsSaddal Жыл бұрын
Sir I used standardized z value..I got some values in minus sign.. should I remove above -3??
@researchwithfawad Жыл бұрын
Remove over +/-3.33
@MsSaddal Жыл бұрын
@@researchwithfawad thankyou so much for your instant reply
@Grace-bz3px7 ай бұрын
Why looking the outlier from min and max value? and why value 16 is an outlier even its within the range ?
@researchwithfawad7 ай бұрын
Thanks for watching. Please refer to Based on the recommendation of Fein et al. (2022), outliers were assessed using the Standardized (z) scores. A total of ......….. responses were outside the acceptable z score (+/-3.3) (Fein et al., 2022). The responses outside the acceptable threshold were removed from further analysis. Fein, E. C., Gilmour, J., Machin, T., & Hendry, L. (2022). Statistics for Research Students: An Open Access Resource with Self-Tests and Illustrative Examples. University of Southern Queensland.
@Grace-bz3px7 ай бұрын
@@researchwithfawad does it mean its the IQR X1.5 = Outlier value?