Dear all,
I have a bit complicated model as below.
Independent variable A, a mediator B, dependent variable C(so, A affects B and C, B affects C). A is a second-order construct. A has 3 first-order constructs.
My question is
1. For A, there are some issues raised regarding the validity of the reflective-reflective type of second-order construct around 10 years ago. However, Sarstedt et al. 2019 explain the use of reflective-reflective type variables in a detailed manner. Is the concern regarding reflective-reflective resolved?
2. Using the second-order construct A, do I allowed to conduct a mediating analysis for the target variable of C? So I will compare the direct impact of A to C and the indirect impact of A to C via B.
Best regard,
Oliva from somewhere
Help! Higher order construct model with mediation analysis?
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Re: Help! Higher order construct model with mediation analysis?
Regarding your question 1:
I personally have problems finding good arguments for reflective-reflective higher-order models in general, because the main issue here is that your have to argue why you have distinct sub-dimensions (lower-order components) of a reflective (and thus uni-dimensional) higher-order construct. Yet, I have also seen papers where the authors have quite convincingly argue for why this model makes sense. Thus, I would not generally rule out the model, but always critically evaluate whether this setup actually makes sense. I think in this sense, we also mention such problems (at least in our latest paper where we cover higher-order model: https://www.emerald.com/insight/content ... /full/html). Yet, our main focus is to provide guidelines for how to model and evaluate the different models, without making definite judgments about the applicability of them, because that is always a case-by-case decision.
Nevertheless, I personally also believe, that in many situations a reflective-formative setup makes much more sense, because as soon as you argue for distinct sub-dimensions you somewhat approach formative measurement. Yet, you also have to convincingly argue for such type of measurement.
Then I think you should also ask yourself, why not modelling the sub-dimensions directly? Of course, parsimony is always an argument, but the differential effects of your lower-order components on the mediator and final outcome could also be interesting.
Overall, I think it all depends on the specific research model and not general recommendation can be given here. Good arguments and theoretical justifications are always key to choosing the right approach to measurement.
2: why not?
I personally have problems finding good arguments for reflective-reflective higher-order models in general, because the main issue here is that your have to argue why you have distinct sub-dimensions (lower-order components) of a reflective (and thus uni-dimensional) higher-order construct. Yet, I have also seen papers where the authors have quite convincingly argue for why this model makes sense. Thus, I would not generally rule out the model, but always critically evaluate whether this setup actually makes sense. I think in this sense, we also mention such problems (at least in our latest paper where we cover higher-order model: https://www.emerald.com/insight/content ... /full/html). Yet, our main focus is to provide guidelines for how to model and evaluate the different models, without making definite judgments about the applicability of them, because that is always a case-by-case decision.
Nevertheless, I personally also believe, that in many situations a reflective-formative setup makes much more sense, because as soon as you argue for distinct sub-dimensions you somewhat approach formative measurement. Yet, you also have to convincingly argue for such type of measurement.
Then I think you should also ask yourself, why not modelling the sub-dimensions directly? Of course, parsimony is always an argument, but the differential effects of your lower-order components on the mediator and final outcome could also be interesting.
Overall, I think it all depends on the specific research model and not general recommendation can be given here. Good arguments and theoretical justifications are always key to choosing the right approach to measurement.
2: why not?
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
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- Real name and title: olivia F.LEE
Re: Help! Higher order construct model with mediation analysis?
Oh my godness!jmbecker wrote: ↑Fri Dec 16, 2022 1:32 pm Regarding your question 1:
I personally have problems finding good arguments for reflective-reflective higher-order models in general, because the main issue here is that your have to argue why you have distinct sub-dimensions (lower-order components) of a reflective (and thus uni-dimensional) higher-order construct. Yet, I have also seen papers where the authors have quite convincingly argue for why this model makes sense. Thus, I would not generally rule out the model, but always critically evaluate whether this setup actually makes sense. I think in this sense, we also mention such problems (at least in our latest paper where we cover higher-order model: https://www.emerald.com/insight/content ... /full/html). Yet, our main focus is to provide guidelines for how to model and evaluate the different models, without making definite judgments about the applicability of them, because that is always a case-by-case decision.
Nevertheless, I personally also believe, that in many situations a reflective-formative setup makes much more sense because as soon as you argue for distinct sub-dimensions you somewhat approach formative measurement. Yet, you also have to convincingly argue for such a type of measurement.
Then I think you should also ask yourself, why not modelling the sub-dimensions directly? Of course, parsimony is always an argument, but the differential effects of your lower-order components on the mediator and final outcome could also be interesting.
Overall, I think it all depends on the specific research model and not general recommendation can be given here. Good arguments and theoretical justifications are always key to choosing the right approach to measurement.
2: why not?
My research guru has replied to my question! Very nice to hear from you!
I just printed out your guideline paper and extensively am reading it.
For the first question, I have designed the reflective-formative variable but i do not have the global scale in my questionnaire. This means I do not have a chance to go to the reflective-formative one. Am I right?
With the second one, do you have any good example paper doing mediation analysis with a higher-order dependent variable? I notice it is not a widely used approach.
Hope you can help me.
XXX
Olivia (phd is almost finished!)
Re: Help! Higher order construct model with mediation analysis?
I also wait for the answer for these question.olivia.lee wrote: ↑Mon Dec 19, 2022 8:13 amOh my godness!jmbecker wrote: ↑Fri Dec 16, 2022 1:32 pm Regarding your question 1:
I personally have problems finding good arguments for reflective-reflective higher-order models in general, because the main issue here is that your have to argue why you have distinct sub-dimensions (lower-order components) of a reflective (and thus uni-dimensional) higher-order construct. Yet, I have also seen papers where the authors have quite convincingly argue for why this model makes sense. Thus, I would not generally rule out the model, but always critically evaluate whether this setup actually makes sense. I think in this sense, we also mention such problems (at least in our latest paper where we cover higher-order model: https://www.emerald.com/insight/content ... /full/html fnaf). Yet, our main focus is to provide guidelines for how to model and evaluate the different models, without making definite judgments about the applicability of them, because that is always a case-by-case decision.
Nevertheless, I personally also believe, that in many situations a reflective-formative setup makes much more sense because as soon as you argue for distinct sub-dimensions you somewhat approach formative measurement. Yet, you also have to convincingly argue for such a type of measurement.
Then I think you should also ask yourself, why not modelling the sub-dimensions directly? Of course, parsimony is always an argument, but the differential effects of your lower-order components on the mediator and final outcome could also be interesting.
Overall, I think it all depends on the specific research model and not general recommendation can be given here. Good arguments and theoretical justifications are always key to choosing the right approach to measurement.
2: why not?
My research guru has replied to my question! Very nice to hear from you!
I just printed out your guideline paper and extensively am reading it.
For the first question, I have designed the reflective-formative variable but i do not have the global scale in my questionnaire. This means I do not have a chance to go to the reflective-formative one. Am I right?
With the second one, do you have any good example paper doing mediation analysis with a higher-order dependent variable? I notice it is not a widely used approach.
Hope you can help me.
XXX
Olivia (phd is almost finished!)