I am looking at how strategy formulation, implementation, and control influence performance of MNCs.I need an insight on how to design a questionnaire that will address all the variables
There is no way to address all of the variables, because there are always unknown variables that you have not taken into account. Basically, you have put limitations in your methodology.
Rebecca thank you,i am looking at strategy formulation ,implementation , and control as independent variables and performance as dependent variable. I want to design a questionnaire that will capture these variables
If you divide your questionnaire into sections that go in parallel with the different strategic process stages and by using Likert scale (5-level) you are able to address what you want. Also, you may check my work on assessment of strategic Management shown here.
How do i design questionnaire that will address all the variables?
Suggesting the following approach:
Perform literature review rigorously to find out the survey questionnaire to measure all the 4 variables i.e. strategy formulation, implementation, control & MNC performance. E.g. the dependent variable i.e. MNC performance might consist of 10 questionnaire items, strategy formulation might consist of several question items etc.
Then you can adopt / adapt those questionnaire items according to your research context including standardize to Likert scale / bipolar semantic differential scale, no. of point e.g. 3, 5, 7-point of scale etc. (note: before you adopt / adapt please seek approval first from original questionnaire owner as part of the ethical adherence).
If after your rigorous literature review & can't find any suitable survey questionnaire to adopt / adapt, then you need to develop your own - you can refer to the nearest / closest questionnaire you can find, copy the concept & amend from there.
If still can't find the closest questionnaire, then you need to come out on your own & ensure you follow some good practices like no multiple-barrel question, use simple language that the respondent can understand / interpret correctly.
Seek subject matter experts, supervisor, professors etc. to review / correct your questionnaire for all the 4 variables.
Share your questionnaire with few convenient respondents to seek their comment for any improvement is needed - if yes please correct them accordingly.
Get some convenient respondents e.g. > 30 to fill up your questionnaire, then test out for their Cronbach Alpha Reliability or Composite Reliability & ensure it is > 0.7.
I think Mr Han Ping Fung has really done justice to your question and if you follow the steps he proposes you certainly will make a headway. I, however, want to add that the four items stated as variables seem to be too broad to qualify as variables. They are simply stages in the strategic planning process. The researcher needs to find surrogates or proxies for each of them that are measurable on whichever scale the researcher finds applicable, e.g. Likert scale that Han suggested.
I suggest that in your literature review you focus on how to delineate the proxies for these broad areas of your research. e.g. for performance of MNCs (the dependent variable) you can use growth performance in the areas of output, revenue, profit, market reach (share), employment, etc. You may also want to surrogate control (supervision or monitoring) with frequency of supervision/monitoring, expenditure on the control, etc. Do the same for strategy formulation and implementation.
Questions in your questionnaire can now target these proxies with the broad areas as sub-headings of your questionnaire.
At the analysis stage you may try to use multivariate analysis (say multiple regression analysis) and try to compute for r and r2 (r square) and test the hypotheses for the r and all the parameters in the model, using the P-values and or the F-tests that can be found in the ANOVA table.
Adding to Fauster, when it comes to the analysis, there are many techniques that will help you to identify influential factors which later on will support your choice of dependent or independent variables like Factor Analysis.
There is a book about scales :"Marketing scales Handbook: a compilation of multi-item measures for consumer behaviour & advertising research" by Gordon C, Bruner II". 8th edition
Notable scale items in extant literature may be used to craft an appropriate research instrument which may resonate with established psychometric properties