Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guildford Press, pp. 692

ผู้แต่ง

  • natthaphon nkhanthachai Kasem bundit University

คำสำคัญ:

Mediation, moderation, conditional process

บทคัดย่อ

PURPOSES: To present statistical methods for the analysis of mediation, moderation, and conditional process. METHODS: A documentary and critical analysis of a textbook. RESULTS: The textbook outlines and exemplifies statistical methods for the analysis of mediation, moderation, and conditional process among variables that can be applied in data analysis in social research. THEORETICAL/POLICY IMPLICATIONS: The textbook expands the frontier of statistical analysis of relations among variables and applicable in advanced social science research.

เอกสารอ้างอิง

Baggozzi, R. P. (2010). Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(210), 208–214.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (2nd ed.). SAGE publications.

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guildford Press.

Hoyles, R. H. (Ed.). (1995). Structural equation modeling: Concepts, issues, and applications. SAGE Publications.

ดาวน์โหลด

เผยแพร่แล้ว

2024-11-08

รูปแบบการอ้างอิง

nkhanthachai, natthaphon. (2024). Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guildford Press, pp. 692. วารสารเกษมบัณฑิต, 25(2), 129–135. สืบค้น จาก https://so04.tci-thaijo.org/index.php/jkbu/article/view/276042

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