Query

[Narendra Samantaray]

Dear Neeraj sir and other members

I am new to the group. It's my first question; I apologize if this has been previously answered; I searched in the chats but still had doubt. 

I guess ten times the number of samples is the general rule of thumb for doing CFA. However, I'm not sure about the sample size. If I want to conduct a SEM (would be doing EFA and CFA; with a cross-sectional design) to test the theoretical model of a study that includes one predictor variable (let's say 5 items), one DV  (20 items), three mediators (let's say, each measure has 10 each; 10 * 3 = 30), and three moderators (let's say, each measure has 15 each; 15*3 = 45). Now the question- Whether the sample size in this situation should be at least 10 times the total number of items (1000) or 10 times the study's maximum item of a measure, in this case, 200 (20 * 10). 

1000 or 200?

Regards

Naren

ORCiD

[Neeraj Kaushik]

Dear Narendra

Today morning itself, I worked with a scholar to write about her sample size.

Hope this might be useful for you too.

There are 3 ways to determine sample size:
1. Statistical Formula
(Explained in first 6 videos of this playlist:
https://www.youtube.com/playlist?list=PLzUJUtTJcj8QUTu-fc3odVazY4-uoR7Is)
2. G*Power
3. Thumb Rule

We used G*Power software to determine minimum sample size (K). For an appropriate effect size and alpha level with power established at 0.95 and beta of 0.80, it was found that a minimum sample size of 80
participants would be required (Khatri et al 2023).

Reference:

• Khatri, P., Duggal, H.K., Dutta, S., Kumari, P., Thomas, A., Brod, T. and Colimoro, L. (2023), "Unveiling heterogenous knowledge-oriented leadership and knowledge acquisition based hybrid work agility of knowledge workers", Journal of Knowledge Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JKM-10-2022-0793

Moreover, our large sample size was deemed appropriate for all of our statistical analyses as it provided adequate statistical power of 0.95 and a robust participant-to-item ratio of 10:1 meeting the recommended ratio of 10:1 (Hair et al., 2010; Tabachnick & Fidell, 2013).

Reference:

• Tabet, S. M., Lambie, G. W., Jahani, S., & Rasoolimanesh, S. M. (2020). The Factor Structure of Outcome Questionnaire–45.2 Scores Using Confirmatory Tetrad Analysis–Partial Least Squares. Journal of Psychoeducational Assessment, 38(3), 350–368. https://doi.org/10.1177/0734282919842035
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis:A global perspective. Upper Saddle River, NJ: Pearson.
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Upper Saddle River, NJ:Pearson.

Plz feel free to ask for your doubts.

Best wishes

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[Narendra Samantaray]

Thanks Neeraj Sir, for the erudite information. I am going through the cited works too.

Regards 

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