Yin has authored over publications, including authoring or editing 11 books not counting the multiple editions of any given book. Earlier editions of the present book have been translated into eight languages Chinese, Japanese, Korean, Swedish, Romanian, Italian, Polish, and Portuguese , and a second book on Qualitative Research from Start to Finish is in its 2nd edition and has been translated into four languages Chinese, Korean, Swedish, and Portuguese.
Yin received his B. Only logged in customers who have purchased this product may leave a review. Also include a map--the six steps in the process of conducting research. Realize that on this journey you need to respect people and the places you visit. Enjoy the process using your natural skills such as the ability to solve puzzles, use library resources, and write What an invitation! And Creswell is good to his words. Chapter after chapter complex issues were clearly described, both in the narrative and with copious examples that illustrated the concepts being explained.
The book if full of some of the best figures and tables ever. They summarize in one page what several pages of narrative and examples explained. So once you understand the concept, the table is an absolute time saver as a go-to page. My Creswell book looks like a colorful porcupine! Ive got little sticky tabs marking all the pages that have critical information Ill need to refer to time and time again.
The only problem I had with Creswells 4th edition tome is that I wanted to underline just about every line in the book! For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.
Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem. Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly.
There are two main survey methods to choose from: questionnaires and interviews. Observations allow you to collect data unobtrusively, observing characteristics, behaviours or social interactions without relying on self-reporting. Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative. Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.
Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.
Some variables, like height or age, are easily measured. Operationalization means turning these fuzzy ideas into measurable indicators. For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed.
Plan your procedures to make sure you carry out the same steps in the same way for each participant. How will you ensure a high response rate? Will you need to transcribe interviews or perform data entry for observations? Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings. With statistics, you can summarize your sample data, make estimates, and test hypotheses.
Using descriptive statistics , you can summarize your sample data in terms of:. The specific calculations you can do depend on the level of measurement of your variables. Using inferential statistics , you can:. Regression and correlation tests look for associations between two or more variables, while comparison tests such as t-tests and ANOVAs look for differences in the outcomes of different groups.
In qualitative research, your data will usually be very dense with information and ideas. Two of the most common approaches to doing this are thematic analysis and discourse analysis.
There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field. A research design is a strategy for answering your research question. It defines your overall approach and determines how you will collect and analyze data. A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources.
This allows you to draw valid , trustworthy conclusions. Quantitative research designs can be divided into two main categories:. Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs. Christy Galletta Horner. Bowling Green State University. David Schmid. University of Northern Iowa. Nancy L. University of Colorado Denver. Young Kim.
Lasell College. Dr Stacy Kula. Report this review.
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