Author Question: Quantitative experimental researchers often brainstorm after each study, discussing the findings ... (Read 37 times)

kellyjaisingh · **on:** Jul 8, 2018

Quantitative experimental researchers often brainstorm after each study, discussing the findings with colleagues, in order to interpret them and create new theories and strategies for testing them.

Then they proceed to the next study. This is similar to a sine wavefirst quantitative, then qualitative, and then quantitative, and so on. This represents an informal and ongoing combination of what research strategies? (Select all that apply.)
a. Mixed methods
b. Sequential explanatory
c. Blocking
d. Multicausality
e. Content analysis
f. Sequential exploratory
g. Sequential transformative

Question 2

What is the antidote to the carryover effect?

a. Random assignment
b. Counterbalancing
c. Sequencing
d. Bias control

parshano · **Reply #1 on:** Jul 8, 2018

Answer to Question 1

ANS: B, F, G
With the sequential explanatory strategy the researcher collects and analyzes quantitative data followed by the collection and analysis of qualitative data. Integration of the data occurs during the interpretation phase. The purpose of this approach is to assist in explaining and interpreting quantitative data. It is useful when unexpected quantitative results are revealed. Qualitative examination of the phenomenon facilitates a fuller understanding and is well suited to explaining and interpreting relationships. There may or may not be a theoretical perspective to the study. This approach is easy to implement, because the steps fall in sequential stages, but the two-stage approach extends the length of time involved in data collection and is seen as a weakness of the design.

Answer to Question 2

ANS: B
Sometimes the application of one treatment can influence the response to later treatments, a phenomenon referred to as a carryover effect. If a carryover effect is known to occur, it is not advisable for a researcher to use this design strategy for the study. However, even when no carryover effect is known, the researcher may take precautions against the possibility that this effect will influence outcomes. In one such precaution, known as counterbalancing, the various treatments are administered in random order rather than being provided consistently in the same sequence.