REVIEWING MEDIATION ANALYSIS

In mediation analysis the core issues that would be addressed is include as follow:

Omitting mediators implication

Reverse mediation analysis not conducting

inappropriate multi-item determine

other experimental methods exploring

Omitting mediators implication

In table 1 analysis presented in the result, which is obtained however in the mediator there is an omission, the validity also declines as well as the model is not as parsimonious. In model declines the explained variation with every omission as it is compared to the model of full mediation.

Reverse mediation analysis not conducting

In the measurement scale authors acknowledge that participants might have answered the justification questions with their choice they were consistent. According to Bellezza et al., 2016, he said that in experimental studies the practices of measuring M after Y is general, reverse mediation analysis be conducted this is strongly suggested by the author. In the case of mediation serial models this is suggested, too (such as,. In this situation variation permutation comes in reverse mediation models for example.

Using inappropriate multi-item measures

Opposed to assigning subjects in random fashion to the conditions of X and M, researchers have struggled to measure the mediator according to (MacKinnon and Pirlott, 2015).

(Internal consistency) reliability of the methods can be evaluated through multiple choices or measures. If the mediator’s reliability would be lower than Y’s reliability, the approach of reverse mediation proceeded earlier would be biased (Lemmer and Gollwitzer, 2017).

Rather than using single-item methods and measures, it was recommended to utilize multi-item methods for the mediator by Jiang et al, 2014. The recommendation also relays that across various experiment, different approaches should be used by researchers for the tapping of mediator.         

Exploring Other Experimental Methods

Spencer et al. (2005, Table 1, p. 848) tells that it is good to explore kinds of methods concerning the experiment design considering a difference between such methods and techniques. Spencer also argued that a series of experiments should be conducted for the demonstration of causality if the manipulation of variable of proposed mediation and independent variable is easy.

‘Moderation-of-process design’ and ‘Experimental-causal-chain design’ are the two big designs for experiments that might be recognized or considered.

Conclusion on REVIEWING MEDIATION ANALYSIS

 From the above discussion, it is concluded that advancement can be seen in the methodology of the medication analysis. Some issues are raised in this paper and for these issues the statistics are showed. These statistics shows that Reverse medication analysis was rare throughout the paper which is 7.4% and this is with multiple mediators 60.2%, experimental method is 86.1 % and in the end multi-term measures are 79.6%. There are the following issues which explain in the above discussion to address the publication approximately 44.4.  

References of REVIEWING MEDIATION ANALYSIS

[1.] Bellezza, S. , Paharia, N. , Keinan, A. , 2016. Conspicuous consumption of time: When busyness and lack of leisure time become a status symbol. J. Consum. Res. 44 (1), 118–138 . Biswas, D. , Szocs,

[2.] Jiang, Y., Adaval, R., Steinhart, Y., Wyer Jr, R.S., 2014. Imagining yourself in the scene: The interactive effects of goal-driven self-imagery and visual perspectives on consumer behavior. J. Consum. Res. 41 (2), 418–435.

[3.] Lemmer, G. , Gollwitzer, M. , 2017. The “true”indirect effect won’t (always) stand up: When and why reverse mediation testing fails. J. Exp. Soc. Psychol. 69, 144–149.