Introducing G*Power for Sample Size Calculation for Structural Equation Modeling

Sample Size Calculation can be problematic when using Structural Equation Modeling. In this video titled: Introducing G*Power for Sample Size Calculation for Structural Equation Modeling, we will focus on the use of G*Power tool for Sample Size Calculation for a study based on Structural Equation Modeling.
An Important Video on Sample Size in Survey Research
• How to Determine Sampl...
Reference Paper for Power
Memon, M. A., Ting, H., Cheah, J. H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Journal of Applied Structural Equation Modeling.
Do you have any questions, tips, or ideas? Let me know in the comments section below!
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#gpower #samplesize #Research

[@sidrahasib499]

Mucg awaited vdo ..thnx dr

[@researchwithfawad]

Thank you.

[@MohamedAlhamedi-tn6hf]

Thank you sir for the video, If my model consist of 2 IV, 1 DV & 1 moderator; What will be the expected number of predictor needed for the the sample size ?

[@researchwithfawad]

Please watch kzbin.info/www/bejne/jGbWdZSja9dqm9k

[@chefberrypassionateresearcher]

Sir, by this method, if I have to do MGA, then the sample size which is shown by g power is the total sample size I require , or the sample size required for each of my group?

[@researchwithfawad]

Please read more on Sample Size using MGA

[@anitalow3628]

if our model consists of 3 control variables (i.e. age, income level, education level). These control variables point to the outcome variable. Should we count in the 3 control variables into "number of predictors" in the G*Power software?

[@researchwithfawad]

No need to include the control variables.

[@chefberrypassionateresearcher]

Please tell what to do if i have three groups? How many samples to be taken in each group? I want to do ANOVA, & Linear Multiple regression and find out the differences between the three groups.

[@researchwithfawad]

Please read more on Sample Size requirements for Groupwise analysis. Minimum should be 30 in each group.

[@ctzurainiramley2074]

Hello Sir, my study hv 1 IV (3 dimensions), 1 moderator and 1 mediator (2 dimensions). What would be the expected number of predictors? Can u briefly explain from the minute 3.30-3.33 of your video related to the added predictor if we have a moderator? I am not clear with the term mentioned. Pls help. Thx

[@researchwithfawad]

Thanks for watching You have two predictors.

[@user-fm2xq6to7l]

im using Hayes model 7, using one iv, one dv, one moderator and one mediator. how many predictors should i put? thanks

[@researchwithfawad]

Looks like 4 if moderator is only moderating one relationship.

[@user-fm2xq6to7l]

thanks sir@@researchwithfawad

[@gardenenthusiast]

Could you please upload video on how to report the sample size for SEM by Gpower with reference. Thanks

[@researchwithfawad]

Please watch kzbin.info/www/bejne/gH-0amx4nJeCnZY

[@rashikakumari2621]

Sir, if my model has 1 independent variable, 1 dependent variable and 2 mediators, what will be the sample size?

[@researchwithfawad]

There are 3 predictors.

[@demiluigi]

Hello Fawad. How to use it when you have more than one DV?

[@researchwithfawad]

Hi. Same way, just count the number of exogenous variables in the study.

[@andyemuobonuvie4437]

Thank you sir for the video, If my model consist of 6 IV, 1 DV, 2 mediator, & 1 moderator; What will be the expected number of predictor needed for the the sample size

[@researchwithfawad]

Thanks for watching. If moderatornis moderating one relationship, there are 10 predictors.

[@andyemuobonuvie4437]

thank you so much sir

[@SonicaSayam]

How to calculate the sample size in case of cox proportional hazard model?

[@researchwithfawad]

Sorry haven't used it yet.

[@zartashiakynat6448]

Please guide in case of 1 IV 1moderator and 4 DV

[@researchwithfawad]

Are the DVs interconnected?

[@deepakdass5286]

Dr Fawad can you share the citation for "interaction terms" Much regards

[@researchwithfawad]

Please refer to the description.

[@hebaemadEmad]

What is the difference between linear model regression fixed midel r2 derived from zero and Fixed model r2 increased

[@researchwithfawad]

the key difference lies in the perspective: "Derived from zero" emphasizes the comparison with a null model, while "Fixed Model R^2 Increased" focuses on the improvement in explanatory power achieved by adding fixed effects to the model. Both concepts are related and often used in the context of fixed-effects regression models to assess the impact of individual-specific effects on the dependent variable.

[@hebaemadEmad]

@@researchwithfawad thanks alot

[@ViranJoseph]

Sir, I have three Independent variables, so my sample can I consider minimum 77.

[@researchwithfawad]

Please check G Power results.

[@infantsebastian6881]

What if two IV, one mediator and one DV

[@researchwithfawad]

This means you have three predictors

[@infantsebastian6881]

@@researchwithfawadthank you sir,

[@mugomuiruri2313]

good

[@researchwithfawad]

Thank you.

[@khan-tk1jj]

Asalamu Alaikum Sir Can I meet you for 20 mins max please, I live in kohat and facing some problem and no one understands here. Will be really thankful please JazakAllah khair

[@researchwithfawad]

WAS. You can post your questions here or email me on [e-mail]

[@ArifKhan-qs8pt]

Asalam O Alaikum Difference between this and the last one of yours video? kzbin.info/www/bejne/bZjGoIhtfK5sZ6s as both are for SEM data calculation

[@researchwithfawad]

WAS. This one only focused on G Power, last one had other recommendations as well.