Thus, I would have first interviewed leaders and corporate managers to find what questions to include in my research. Only after that I would have finalized my questionnaires. The sample size taken by Sabir et. al. is very small in my opinion. I believe when conducting a nationwide study in different sectors, the sample size of 190 is too small that ends up in only 150 valid questionnaires. I would have surveyed at least 1000 individuals 500 from public and 500 form private sector. I would have ensured that there is 50% of each gender approximately and that no age group is neglected. The research had about 14% females and I think this was too small.
The strengths and weaknesses of your envisioned design and methods: There are many strengths and weaknesses of the research design that I proposed. First of all it is not easy to get interviews from top leaders and managers without having properly designed questions. Thus it requires making formal list of questions even before making the final questionnaire thus the amount of required effort increases. Then, the number of questionnaires that I propose i.e. 1000 will require a few months to be collected in valid and usable form. Often online questionnaires expire early thus personally administered questioners work best in countries where IT is in developing phase in public sector and English is not the first language of natives.
Quantitative: Threats to validity and how your design will address them: As mentioned earlier, the countries where English is not the first language of employees and public employees are often on elder age, the online or postal surveys can be ignored. The surveys can use personally administered questionnaires and the researcher will use more time and energy to collect feedback. This will also reduce the threat of loss of questionnaires.
Quantitative: The constructs you will measure and what you will do in order to determine how to operationalize them: The quantitative measures that can help research might include close supervision as well as assistance in understanding and filling questions. This should however not influence their answers.
Qualitative: your means of ensuring the quality of your findings: The data collected from different cities of a big country can offer a wide range of answers that are often contradictory and not generalizable. Thus, I will ensure that the questions are orally translated into native languages if necessary so that no incorrect data contaminates findings. Secondly, the data will be assessed using tools of statistics. The data will be collected by one group, assessed by another and interpreted by a third group. Thus the final group will not know which data belongs to which organization or city so that there is no biasness that could manipulate data in favor of one organization, sector or city.
Justification for why your chosen design and methods are more appropriate for your research question than alternatives you have considered: The methods that I have chosen for research eliminate the risks of biasness and favors thus it can be more effective. Also this design involves data from a wide variety of sectors and areas thus including response from diverse not concentrated area. Else, the results from only a couple of cities would mean studying ethical influences only on the employees of a particular area.
The diversity in organizations is often low within a single city in Pakistan. Localized areas have same culture and may offer same response. Yet this does not mean there is no diversity. Thus conducting a research on about a dozen cities broadens the canvas of research. This will slightly move the average values in the sample but there will be a wider window from which the feedback will be collected. The researchers would be planned such that no researchers will be allowed to conduct or supervise study in his own organization or city so that the elements that make the results impure are controlled.
Your methods of data analysis: I like to analysis data by using a variety of methods. First of all I analyses the data by putting it in the excel sheet to find simple mean, median, mode of data. This gives and overview about the data collected. After that I like to analyses data separately in the groups. Each group represents different city. This helps find average age of employee in a city and the gender proportion in each city. Thus after conducting the basic analysis on the data, I will move forward to next step of deeply analyzing data by using statistical methods of regression, correlation, standard deviation. I will also use the probability test to find the possibility of expected behavior and expected performance of the employee. The data analysis...
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