H1: There is a positive effect of X on M
H2: There is a positive effect of M on Y
H3: M positively mediates the effect of X on Y
or
H3: X has a positive indirect effect on Y through M
In this approach, there is only one hypothesis to be tested:
H1: M positively mediates the effect of X on Y, or
H1: X has an indirect positive effect on Y through M
Theoretical consideration-whether the underpinning theory suggests testing the relationship between X and Y.
Analytical approach. Example: Baron & Kenny's (1986) approach or Preacher & Hayes (2004,2008), which focuses on indirect effect.
Problem statement. Example: if the researcher argues X affect Y because of M, or if the researcher argues the established relationship between X and Y and he/she is interested to whether M mediates the effect or not.
Example:
The bootstrapping analysis showed that the indirect effect β = 0.159 (0.546*0.291) was significant with a t-value of 3.682. Also as indicated by Preacher and Hayes (2008), the indirect effect 0.159, 95% Bootstrap Confidence Interval [LL = 0.074, UL = 0.243] does not straddle a 0 in between indicating there is mediation.
Thus, we can conclude that the mediation effect is statistically significant.
Download the project HERE.
Download the project HERE.
CL: Creative Leadership; CSE: Creative Self-Efficacy; KS: Knowledge Sharing; CPI: Creative Person Identity
Download a data-set here, and draw the following model.
Download a data-set here, and draw the following model.
USRST: University Social Responsibility for Student; USRST: University Social Responsibility for Society; EA: Environmental Attitude; SUI: Student-University Identification; OCBE: Organizational Citizenship Behavior for the Environment
Download a data-set here, and draw the following model.
In this exercise, the mediating variable is second order type 2 (i.e., reflective-formative).
Download a data-set here, draw the following model, and assess measurement and structural model.
Aguinis, H., Edwards, J. R., & Bradley, K. J. (2017). Improving our understanding of moderation and mediation in strategic management research. Organizational Research Methods, 20(4), 665-685.
Ghazali, E. M., Mutum, D. S., & Woon, M. Y. (2019). Multiple sequential mediation in an extended uses and gratifications model of augmented reality game Pokémon Go. Internet Research.
Marengo, D., Poletti, I., & Settanni, M. (2020). The interplay between neuroticism, extraversion, and social media addiction in young adult Facebook users: Testing the mediating role of online activity using objective data. Addictive behaviors, 102, 106150.
Rungtusanatham, M., Miller, J. W., & Boyer, K. K. (2014). Theorizing, testing, and concluding for mediation in SCM research: tutorial and procedural recommendations. Journal of Operations Management, 32(3), 99-113.
Trivedi, Shrawan Kumar, and Mohit Yadav. "Repurchase intentions in Y generation: mediation of trust and e-satisfaction." Marketing Intelligence & Planning (2020).
van Strien, T., Konttinen, H. M., Ouwens, M. A., van de Laar, F. A., & Winkens, L. H. (2020). Mediation of emotional and external eating between dieting and food intake or BMI gain in women. Appetite, 145, 104493.