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Mixed methods research is a process of incorporating the collection, analyzation, and interpretation of qualitative and quantitative data in a study that is investigating the same topic. There are several benefits in the utilization of the mixed methods, such as the comparison of qualitative and quantitative data to observe the contradiction between the results and providing a more complex and comprehensive understanding of the studies. There are various types of mixed methods, such as the sequential explanatory design, sequential exploratory design, concurrent nested design, and concurrent triangulation design (Terrel, 2011).
The sequential explanatory design is a process where the collection and analysis of quantitative data is processed first, followed by the collection and analysis of qualitative data. Afterward, the data is integrated for interpretation to provide a more in-depth exploration of the results and help to explain unexpected findings. The sequential exploratory design is a process where the collection and analysis of qualitative data is processed first, followed by the collection and analysis of quantitative data. Afterward, the data is integrated for interpretation and this method is used for testing components of a theory, generalizing the qualitative finding to different samples, and developing and testing new instruments. The concurrent triangulation is the process where qualitative or quantitative data collection and analysis are processed separately, yet concurrently. This allows a complete understanding of the topic and allows supportive findings. Lastly, concurrent nested design is a process where although both qualitative and quantitative data are being processed concurrently, one data is more embedded within the other. This allows a broader and comprehensive perspective on the topic and limit any weakness that may occur (Terrel, 2011).
Quantitative data are closed-ended data (such as asking â€œhow manyâ€) that uses statistical information such as discrete and continuous data as a means to measure data using numbers, charts, and graphs for analysis. This type of data is used for testing, surveys, experiments, questionnaires, and etc. Qualitative data are open-ended data (such as asking â€œwhyâ€) that uses non-statistical, yet descriptive information to analyze data through image, symbols, interviews, audio, videos, texts, and documents. The purpose of this type of data is for developing hypotheses, interpretation, and theorization (Castro et al., 2011).
Castro, G.F., Kellison, G.J., Boyd, J.S., Kopak, A. (2011). A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses. J Mix Methods Res, 4(4), 342-360. Doi: 10.1177/1558689810382916
Terrell, S. (2011). Mixed-methods research methodologies. The Qualitative Report, 17(1), 254-280. Retrieved from http://www.nova.edu/ssss/QR/QR17-1/terrell.pdf
Respond to the bold paragraph ABOVE by using one of the option below… in APA format with At least two references and a minimum of 200 words….. .(The List of References should not be older than 2016 and should not be included in the word count.)
- Ask a probing question.
- Share an insight from having read your colleague’s posting.
- Offer and support an opinion.
- Validate an idea with your own experience.
- Make a suggestion.
- Expand on your colleague’s posting.
Be sure to support your postings and responses with specific references to the Learning Resources.
It is important that you cover all the topics identified in the assignment. Covering the topic does not mean mentioning the topic BUT presenting an explanation from the context of ethics and the readings for this class
To get maximum points you need to follow the requirements listed for this assignments 1) look at the word/page limits 2) review and follow APA rules 3) create subheadings to identify the key sections you are presenting and 4) Free from typographical and sentence construction errors.
REMEMBER IN APA FORMAT JOURNAL TITLES AND VOLUME NUMBERS ARE ITALICIZED.