Quantitative research case study
Quantitative research quantitative research case study on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.
Doing Quantitative Research in Education with SPSS. Quantitative research deals in numbers, logic, and an objective stance. Quantitative research focuses on numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning . The data is usually gathered using structured research instruments. The results are based on larger sample sizes that are representative of the population. The research study can usually be replicated or repeated, given its high reliability. Researcher has a clearly defined research question to which objective answers are sought.
All aspects of the study are carefully designed before data is collected. Data are in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms. Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships. Researcher uses tools, such as questionnaires or computer software, to collect numerical data. The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed. Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem you are investigating. Interpretation of results is not appropriate in this section.
Report unanticipated events that occurred during your data collection. Explain how the actual analysis differs from the planned analysis. Explain your handling of missing data and why any missing data does not undermine the validity of your analysis. Explain the techniques you used to «clean» your data set. Describe the assumptions for each procedure and the steps you took to ensure that they were not violated.
When using inferential statistics, provide the descriptive statistics, confidence intervals, and sample sizes for each variable as well as the value of the test statistic, its direction, the degrees of freedom, and the significance level . Avoid inferring causality, particularly in nonrandomized designs or without further experimentation. Always tell the reader what to look for in tables and figures. When using pre-existing statistical data gathered and made available by anyone other than yourself , you still must report on the methods that were used to gather the data and describe any missing data that exists and, if there is any, provide a clear explanation why the missing data does not undermine the validity of your final analysis.
Empirical Political Analysis: Quantitative and Qualitative Research Methods. Research Methods in Public Administration and Nonprofit Management: Quantitative and Qualitative Approaches. The introduction to a quantitative study is usually written in the present tense and from the third person case of view. Identifies the research problem — as with any academic study, quantitative must state clearly and concisely the research problem being investigated. Reviews the literature — review scholarship on the topic, synthesizing key research and, if necessary, noting studies that have used similar methods of inquiry and analysis. Note where key gaps exist and how study 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.
Case study criteria
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If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context . 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.
If you gathered it yourself, describe what type of instrument you used and why. 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. 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.
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