Home Blog 7 Essential Considerations for your Qualitative Research Project
Individuals choose their study methodology based on their familiarity with a given method. In contrast, data analysis methods should be based on the questions your research will address. Before choosing a method of analysis, review the 7 essential considerations below to find out if qualitative research is the right choice for your study and how to best go about the research process.
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- Research questions. Certain research questions are better answered with qualitative research. Studies that seek to understand, explore or describe occurrences rather than find a definitive answer lend themselves to the qualitative method. Some students even choose a mixed-method dissertation which employs both quantitative and qualitative research. A great way to determine which method is best for your study is to consider the research methods of studies on similar topics. It’s important to let the research questions inform the qualitative analysis process.
- Method of data collection. Data collection for qualitative research exists in several forms. Interviews, focus groups, surveys, and extensive literature review are common methods used to collect qualitative data. Furthermore, some studies choose to use a variety of methods to come to the conclusion.
- Your collection tools. Most often qualitative research involves surveys, focus groups, and interviews. Since qualitative studies are exploratory in nature it’s important to avoid asking leading questions. Carefully examine, and better yet, have a second set of eyes examine your study to avoid leading questions, which can weaken your methodology.
- Data analysis. Qualitative analysis involves more than just merging a list of facts. A dissertation consultant can work with you to thematize the data for your study.
- Hiring a dissertation consultant. Your research advisor is busy and does not always have the time to work with you on your project or address your research-related concerns. A dissertation consultant helps you work through the qualitative analysis, regardless of your level of knowledge in the area.
- Early data analysis. Early explorations and pilot studies serve as a way to explore the field without narrowing down on any specific topic just yet. Explore the data to pick out early findings that you may want to explore in depth. In a qualitative study this can take the form of doing focus groups with a small sample size or doing a few interviews. You can also reconsider your research focus with informed early data analysis.
- Clean and easy is not always best. Because qualitative projects are not as strictly defined, it’s important to avoid the easy way out during the research process. Instead, let your questions and data drive the research methods and qualitative analysis that you undertake in your project.
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Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results. A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained. An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables.
Introduction
The introduction to a quantitative study is usually written in the present tense and from the third person point of view. It covers the following information:
- Identifies the research problem -- as with any academic study, you must state clearly and concisely the research problem being investigated.
- Reviews the literature -- review scholarship on the topic, synthesizing key themes and, if necessary, noting studies that have used similar methods of inquiry and analysis. Note where key gaps exist and how your study helps to fill these gaps or clarifies existing knowledge.
- Describes the theoretical framework -- provide an outline of the theory or hypothesis underpinning your study. If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context [e.g., historical, cultural, economic, etc.].
Methodology
The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem. The methods section should be presented in the past tense.
- Study population and sampling -- where did the data come from; how robust is it; note where gaps exist or what was excluded. Note the procedures used for their selection;
- Data collection – describe the tools and methods used to collect information and identify the variables being measured; describe the methods used to obtain the data; and, note if the data was pre-existing [i.e., government data] or you gathered it yourself. If you gathered it yourself, describe what type of instrument you used and why. Note that no data set is perfect--describe any limitations in methods of gathering data.
- Data analysis -- describe the procedures for processing and analyzing the data. If appropriate, describe the specific instruments of analysis used to study each research objective, including mathematical techniques and the type of computer software used to manipulate the data.
Results
The finding of your study should be written objectively and in a succinct and precise format. In quantitative studies, it is common to use graphs, tables, charts, and other non-textual elements to help the reader understand the data. Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made. Further information about how to effectively present data using charts and graphs can be found here.
- Statistical analysis -- how did you analyze the data? What were the key findings from the data? The findings should be present in a logical, sequential order. Describe but do not interpret these trends or negative results; save that for the discussion section. The results should be presented in the past tense.
Discussion
Discussions should be analytic, logical, and comprehensive. The discussion should meld together your findings in relation to those identified in the literature review, and placed within the context of the theoretical framework underpinning the study. The discussion should be presented in the present tense.
- Interpretation of results -- reiterate the research problem being investigated and compare and contrast the findings with the research questions underlying the study. Did they affirm predicted outcomes or did the data refute it?
- Description of trends, comparison of groups, or relationships among variables -- describe any trends that emerged from your analysis and explain all unanticipated and statistical insignificant findings.
- Discussion of implications – what is the meaning of your results? Highlight key findings based on the overall results and note findings that you believe are important. How have the results helped fill gaps in understanding the research problem?
- Limitations -- describe any limitations or unavoidable bias in your study and, if necessary, note why these limitations did not inhibit effective interpretation of the results.
Conclusion
End your study by to summarizing the topic and provide a final comment and assessment of the study.
- Summary of findings – synthesize the answers to your research questions. Do not report any statistical data here; just provide a narrative summary of the key findings and describe what was learned that you did not know before conducting the study.
- Recommendations – if appropriate to the aim of the assignment, tie key findings with policy recommendations or actions to be taken in practice.
- Future research – note the need for future research linked to your study’s limitations or to any remaining gaps in the literature that were not addressed in your study.
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