Quantitative research
- What factors need to be taken into consideration when designing quantitative research?
One of the aspects to be taken into consideration when designing quantitative research is how to operationalize the variables to show the relationships. The other factor entails the sensitivity of these variables used in detecting differences. (McMillan & Schumacher, 2014, pp. 113-119).
- Why would a quantitative researcher want to control error? How might he do so?
A quantitative researcher needs to control error because it might affect the relationship variables directly, thereby making it hard to show the relationships. They can control this error by trying to get better estimates of the variables to eliminate this error. (McMillan & Schumacher, 2014, p. 121).
- What techniques can be used to draw unbiased samples from a population? What are the advantages of these techniques?
MAXMINCON is a technique that is used to draw samples from a population. (McMillan, & Schumacher, 2014, p.116). These techniques are attributed to several advantages. This technique ensures that you get the right variables for the research, as well as the direct conclusions to the variability of a place depending on the previous research data.
- Why is it important for a researcher to ensure the validity and reliability of a test that might be used in the study?
The importance is to ensure that outcomes can effectively be used and control variables that may threaten validity (McMillan & Schumacher, 2014, p. 119).
- How does a researcher plan a qualitative study?
They begin by ensuring that the selection of the participants, the measures, procedures, and interventions give a good systematic variation. They then read the literature and pilot test to get some idea of how the variables should be (McMillan, & Schumacher, 2014, p. 139).
- Why do qualitative researchers use purposeful sampling techniques?
This is to focus on particular characteristics of a population that are of interest hence enabling the researcher to best answer his or her research question (McMillan, & Schumacher, 2014, p. 152).
- Why is qualitative design validity enhanced by the use of prolonged and persistent fieldwork? Member checking? Multi-method data collection strategies? Participant review?
Qualitative design validity is enhanced member checking as it aims at exploring the mcmillan schumacher of the results. It aims at studying things in their natural setting. For prolonged and persistent fields, it proposes allowing interim data analysis with the objective being to make sure that there exists a match between outcomes and participants’ reality (McMillan, & Schumacher, 2014, p. 354). This mostly done by observation and recording what they see.
- How is reflexivity enhanced by the use of a field log and journal? Audibility? Formal corroboration of initial findings?
Field log and journal help enhance reflexivity by ensuring there is a provision of more effective and impartial analysis. For Audibility, it enhances reflexivity by providing only reliable data is used. (McMillan & Schumacher, 2014, p. 343-350). For Formal corroboration of initial findings, it helps enhance it by ensuring that data acquired is highly credible.
Reference
McMillan, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.