Which of the following is a responsible research practice when analysing data?Group of answer choicesMaking generalisations supported by your dataDropping information to increase significanceCollecting more data to increase significanceUsing the interpretive model that produces the best results
Question
Which of the following is a responsible research practice when analysing data?Group of answer choicesMaking generalisations supported by your dataDropping information to increase significanceCollecting more data to increase significanceUsing the interpretive model that produces the best results
Solution
The responsible research practice when analysing data is:
Making generalisations supported by your data.
Explanation:
When analysing data, it's important to make sure that any conclusions or generalisations you draw are supported by the data you have collected. This means that the data provides sufficient evidence to justify the conclusions you are making. Dropping information to increase significance, collecting more data to increase significance, or using the interpretive model that produces the best results can all lead to biased or misleading results, and are not considered responsible research practices. Therefore, it's important to ensure that your analysis is based on the data you have, and that your conclusions are justified by this data.
Similar Questions
Conclusions in research need not be based on data collected.Group of answer choicesTrueFalse
In data analysis, which factors significantly influence the amount of information that can be extracted from a variable?Group of answer choicesThe variable’s type of measurement scaleThe data collection methodAn expert in the fieldThe data’s level of significance
In quantitative research, the data gathering procedure is typically rigid and does not allow for flexibility or adjustments during the course of the study.Group of answer choicesTrueFalse
Which of the following refers to the outcome when you have sufficient data/findings to support firm, significant conclusions?Group of answer choicesPreliminary findingsUncertain findingsNo findingsCompleted findings
When you analyse and interpret your data, which of the following is a best practice?Group of answer choicesIgnoring a few cases because they are inconsistentLooking for other ways to explain differences in resultsTesting to see if your hypothesis is supportedUsing the most powerful statistics, so your results appear stronger
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.