Thank you James for sharing these videos. Your videos always manage to clarify concepts that I used to be vague on -- making me wonder why they hadn't been explained to me that clearly before! :)
I'm not sure why it shows that. Perhaps that is a feature of a different version than I have. Either way, it is the same test, just with different reference points. If your data is normally distributed, use the mean. If not, use the median.
Thank you James. Your videos (and website) are invaluable!!!!! I appreciate so much your taking the time and effort to share your knowledge in such a clear way. A question - how does the information provided by the Levene's test differ (in terms of understanding results and making analytic decisions) from using Anova with Tukey's post-hoc tests? Would one want to use both? Also, if the data are not normally distributed, is there a non-parametric equivalent to the Levene's test? Again, thanks so much!!!
Hi Linda. The Tukey's (and other post-hoc tests) are best for comparing the means of variables across more than two groups through pairwise comparisons. The Levene's test does a comparison of distributions (variance) through a single multigroup comparison (rather than pair by pair).
dear sir i am having issues in running CFA from EFA, rotated component matrix is good by when i go for pattern matrix model builder 2 of my factors load on one factor, thus i am having error that "an error occurrred while checking for missing data in the gropu, group number 1" but my data has no missing value thus i am not able to run CFA. your help is required
Hello Professor James Thanks for the tutorial. In one of my study, I have four groups in a nominal scale. Respondents of each groups are different. The study's IV is measured by three items and DV is measure by 4 items. It would be helpful if you can suggest the process of examining multigroup manipulation check in this case.
I have many videos for multigroup analysis. Here are a couple: PLS: ruclips.net/video/b3-dyfhGE4s/видео.html AMOS: ruclips.net/video/w5ikoIgTIc0/видео.html
Good presentation to assess none response bias. Could you please explain how the early response data (e.g 280 responses) and the late response data (20responses) can be loaded in a single input sheet to run the one way ANOVA. Thanks
Assuming the variables are all the same, and they are in the same order, then you can just copy and paste the late responses below the early responses. Then, make sure to have a variable that identifies which wave they were in (early vs late).
I'm not sure how you would check non-response, as you don't have those responses. It is a way to check whether two sampled groups responded in a similar way to your survey.
Dear sir i am having issues in running CFA from EFA, rotated component matrix is good by when i go for pattern matrix model builder 2 of my factors load on one factor, thus i am having error that "an error occurred while checking for missing data in the group, group number 1" but my data has no missing value thus i am not able to run CFA. your help is required
Dear sir, thanks for your response. there is one more question i want to ask, two of my independent variables are having positive insignificant effect on dependent in SEM, is there a way to make them significant.. independent variables are Service Quality and Information Quality and dependent is intention to use mobile banking apps. or can i get some refrence ppr in which same effect is shown to support my study?
If they are not significant, then there may be some moderator or mediator or grouping variable that would better explain the relationship and would allow you to reveal the effects. However, this is not my area of research, so I don't know of any studies that would help clarify the relationship.
Thank you James for sharing these videos. Your videos always manage to clarify concepts that I used to be vague on -- making me wonder why they hadn't been explained to me that clearly before! :)
Thanks James. It is a wonderful work
Hey Gaskin! You are great again!
When do you plan to share sth about multilevel analysis?
Please, any idea why my Levene's homogeneity of variance test is showing "based on mean" median etc.
Is there anyway I can remove the mean. median?
I'm not sure why it shows that. Perhaps that is a feature of a different version than I have. Either way, it is the same test, just with different reference points. If your data is normally distributed, use the mean. If not, use the median.
Thanks for your reply, I really enjoyed your videos.
I tried it on another version and you were right, the issue was because of the version.
Thank you James. Your videos (and website) are invaluable!!!!! I appreciate so much your taking the time and effort to share your knowledge in such a clear way. A question - how does the information provided by the Levene's test differ (in terms of understanding results and making analytic decisions) from using Anova with Tukey's post-hoc tests? Would one want to use both? Also, if the data are not normally distributed, is there a non-parametric equivalent to the Levene's test? Again, thanks so much!!!
Hi Linda. The Tukey's (and other post-hoc tests) are best for comparing the means of variables across more than two groups through pairwise comparisons. The Levene's test does a comparison of distributions (variance) through a single multigroup comparison (rather than pair by pair).
Thank you. I understand now :)
dear sir i am having issues in running CFA from EFA, rotated component matrix is good by when i go for pattern matrix model builder 2 of my factors load on one factor, thus i am having error that "an error occurrred while checking for missing data in the gropu, group number 1" but my data has no missing value thus i am not able to run CFA. your help is required
Hello Professor James
Thanks for the tutorial.
In one of my study, I have four groups in a nominal scale. Respondents of each groups are different. The study's IV is measured by three items and DV is measure by 4 items. It would be helpful if you can suggest the process of examining multigroup manipulation check in this case.
I have many videos for multigroup analysis. Here are a couple:
PLS: ruclips.net/video/b3-dyfhGE4s/видео.html
AMOS: ruclips.net/video/w5ikoIgTIc0/видео.html
Good presentation to assess none response bias. Could you please explain how the early response data (e.g 280 responses) and the late response data (20responses) can be loaded in a single input sheet to run the one way ANOVA. Thanks
Assuming the variables are all the same, and they are in the same order, then you can just copy and paste the late responses below the early responses. Then, make sure to have a variable that identifies which wave they were in (early vs late).
It would have been helpful if you showed us how to split the responses into waves using spss. am having challenges doing that due to the dates
Here are a couple videos that may help:
ruclips.net/video/B0nGVnQYy7k/видео.html
ruclips.net/video/6MKRRmrmmng/видео.html
is it a method to check non response bias? Please clarify.
I'm not sure how you would check non-response, as you don't have those responses. It is a way to check whether two sampled groups responded in a similar way to your survey.
@@Gaskination Thanks a lot James, you always reply soon.
SIR CAN I APPLY MAN WHITNEY TEST
I've never used the Man Whitney test, so I'm not sure.
Dear sir i am having issues in running CFA from EFA, rotated component matrix is good by when i go for pattern matrix model builder 2 of my factors load on one factor, thus i am having error that "an error occurred while checking for missing data in the group, group number 1" but my data has no missing value thus i am not able to run CFA. your help is required
If the plugin isn't working, you'll need to build the model manually. Sorry about that.
Dear sir, thanks for your response. there is one more question i want to ask, two of my independent variables are having positive insignificant effect on dependent in SEM, is there a way to make them significant.. independent variables are Service Quality and Information Quality and dependent is intention to use mobile banking apps. or can i get some refrence ppr in which same effect is shown to support my study?
If they are not significant, then there may be some moderator or mediator or grouping variable that would better explain the relationship and would allow you to reveal the effects. However, this is not my area of research, so I don't know of any studies that would help clarify the relationship.