ACE Learning Excellence and Innovation

ACE Learning Excellence and Innovation

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It aims to be a global research support group.

ACE Learning Excellence and Innovation (002837754-W) provides research resources, support and networking among postgraduate students with the final aim to complete that PhD/Masters!

18/06/2026

A new criterion for assessing discriminant validity in variance-based structural equation modeling. Full PDF at https://doi.org/10.1007/s11747-014-0403-8

17/06/2026

Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Full PDF at https://doi.org/10.1111/isj.12131

16/06/2026

PLS-SEM or CB-SEM: Updated guidelines on which method to use. Full PDF at https://www.inderscienceonline.com/doi/pdf/10.1504/IJMDA.2017.087624

15/06/2026

Understanding and managing the threat of common method bias: Detection, prevention and control. Full PDF at https://doi.org/10.1016/j.tourman.2021.104330

14/06/2026

Dealing With Non-normal Data. Full PDF at https://doi.org/10.1016/j.pmrj.2012.10.013

13/06/2026

Sample size determination and power analysis using the G*Power software. Full PDF at https://doi.org/10.3352/jeehp.2021.18.17

12/06/2026

Questionnaire Design. Full PDF at https://doi.org/10.1007/978-3-319-54395-6_53

11/06/2026

Essential elements of questionnaire design and development. Full PDF at https://doi.org/10.1111/j.1365-2702.2006.01573.x

10/06/2026

Selecting, designing, and developing your questionnaire. Full PDF at https://doi.org/10.1136/bmj.328.7451.1312

09/06/2026

Demystification and Actualisation of Data Saturation in Qualitative Research Through Thematic Analysis. Full PDF at https://doi.org/10.1177/16094069241229777

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