Yes If research focusses on what questions, either of two positions arises. They are advantageous when the research goal is to describe the prevalence of a certain phenomenon or to be predictive of a certain outcome. The key is to understand that your research questions have both substance — for example what is my study about and form for example am I asking a who, what, where, why or how question. Histories are preferred when there is virtually no access or control, and can of course be done about contemporary events:
Bibliography Definition Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. The Practice of Social Research. Wadsworth Cengage, ; Muijs, Daniel. Characteristics of Quantitative Research Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population.
Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment].
A descriptive study establishes only associations between variables; an experimental study establishes causality. 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 [i.
Its main characteristics are: 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.
Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative research focuses on gathering. The book’s coverage of case study research and how it is applied in practice gives readers access to exemplary case studies drawn from a wide variety of academic and applied fields. Provides methodological insights to show the similarities between case studies and other social science methods; Case Study Research: Design and Methods /5(8). With over 90, copies sold of the previous editions the new Third Edition of the best-selling Case Study Research has been carefully revised, updated, and expanded while retaining virtually all of the features and coverage of the second edition. Robert Yin′s comprehensive presentation covers all aspects of the case study method - from problem definition, design, and data collection, to 4/5(15).
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.
Things to keep in mind when reporting the results of a study using quantitative methods: 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.
Choose a minimally sufficient statistical procedure; provide a rationale for its use and a reference for it. Specify any computer programs used. 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 [report the actual p value].
Avoid inferring causality, particularly in nonrandomized designs or without further experimentation. Use tables to provide exact values; use figures to convey global effects.
Keep figures small in size; include graphic representations of confidence intervals whenever possible. 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 [e.
Wadsworth Cengage, ; Brians, Craig Leonard et al. Quantitative and Qualitative Research Methods. Longman, ; McNabb, David E. Quantitative and Qualitative Approaches. Sharpe, ; Quantitative Research Methods. Colorado State University; Singh, Kultar. Quantitative Social Research Methods. Basic Research Design for Quantitative Studies 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:Different textbooks place different meanings on research design. Some authors consider research design as the choice between qualitative and quantitative research methods.
Others argue that research design refers to the choice of specific methods of data collection and analysis.. In your dissertation you can define research design as a general plan about what you will do to answer the research.
Case Study Research: Design and Methods (Applied Social Research Methods) - Kindle edition by Yin Robert K.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Case Study Research: Design and Methods (Applied Social Research Methods).
Element. Description. The case. Object of the case study identified as the entity of interest or unit of analysis. Program, individual, group, social situation, organization, event, phenomena, or process. With over 90, copies sold of the previous editions the new Third Edition of the best-selling Case Study Research has been carefully revised, updated, and expanded while retaining virtually all of the features and coverage of the second edition.
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Recognized as one of the most /5(14). A very extensive summary of Robert K. Yin’s famous book "Case Study Research: design and methods." 4-th edition, Advise: Read the book first before this summary.