Measurement Invariance - MICOM (SmartPLS 3)

[@SimonDangHuy]

thanks for your video, very easy to comprehend and follow.

[@jazcpcuev9915]

Thank you so much, your explanation is very simply =)

[@chefberrypassionateresearcher]

Thanks prof. for your kind reply. Please tell should i go for measurement invariance testing(MICOM) of my groups, if i have created them from the same collected data using cluster analysis on 4 of my observed items (assessing attitude). Although all my respondents are tourists, but they differ in their attitude, so later on after clustering, i want to know differences in them on "experience and satisfaction relationship". Shall i do measurement invariance, or how shall i proceed...?

[@chefberrypassionateresearcher]

Professor, What to do if i have 2 formative and 1 reflective construct in the model? And also i have 3 groups to compare?

[@chefberrypassionateresearcher]

can i go ahead with MGA if i have partial invariance? I have 3 groups? How to do it for 3 groups?

[@souhakabtni5192]

Can one uses MICOM with reflective indicators?

[@aasafeer84]

Hi sir, Hope you are fine and doing great. I need to ask a question. Should we add moderation interaction effects of the continuous variable for the invariance test OR simply show the moderator as IV without interaction effects? Please advise. thank you

[@souhakabtni5192]

Thank you for this video, that was very informative :) However, what can I do if I have 3 groups? How do I conduct the MICOM? I have read that "If there are more than two groups to compare, multiple comparisons will be necessary. In this case, the Bonferroni correction is indicated, for example: if there are three groups to be compared (ABC), there will be three comparisons (AB, AC, BC), so the p-values should be multiplied by 3 (or the level of significance - α - should be divided by 3, for example, 0.05/3 = 0.0167) to assert that the difference is significant at 5%. For four groups, there will be six comparisons (AB, AC, AD, BC, BD, CD), so the p-values should be multiplied by 6 or α = 0.05/6 = 0.00833, to assert that the difference is significant 5% (HAIR JR et al., 2016)." (De Souza Bido & Da Silva, 2019, p. 519). Could you please further explain this? Thank you in advance for all the help!

[@shinajvs527]

Dears, Is it required to conduct omnibus test of group differences (OTG) if the study compare different categories under one group. For instance, if the study attempts to examine the heterogeneity effect in a single group, namely 'Authority type', and that includes three categories i.e. 1)Government; 2) Semi-government; and 3) Private. Sarstedt, Henseler, and Ringle (2011) proposed the omnibus test of group differences (OTG) for analyzing the differences of two and more groups of relationships. Based on the case mentioned above, according to Sarstedt, Henseler, and Ringle (2011), what is considered as a group? is it 'Authority type' ? or three classication stated under the group? Can i just conduct PLS- MGA in above case?

[@ngocnguyennhan4669]

As I have known, MICOM is used to test of measurement invariance between 2 groups, OTG is used to more than 2 groups (3, 4 or more). Authority type comprises 3 groups: Government, Semi-government, and Private; similar to the case of gender comprising of male and female.

[@waseefjamal7115]

Dear Sir, Can you please share the slides?

[@trendontime1125]

very appreciating sir

[@trendontime1125]

sir make one video on how we can analysie by using control variable in smartpls

[@trendontime1125]

Make one video on FIMIX-PLS

[@hafizali1092]

sir please the material slides

[@yassiabeng9813]

Hi, I wonder if there is a way to communicate with you, I need your help with my data. If you can offer me paid online classes via zoom, and help me in interpreting them?