Read the following links,Research Methods in Psychology, to prepare for this week's discussion and assignment.

V. Experimental Research Link- https://kpu.pressbooks.pub/psychmethods4e/part/experimental

VIII. Quasi-Experimental Research Link-https://kpu.pressbooks.pub/psychmethods4e/part/quasi-experimental-research/

Reference for statistical reminders links to prepare for this week's assignment

XII. Descriptive StatisticsLink- https://kpu.pressbooks.pub/psychmethods4e/part/descriptive-statistics/

XIII. Inferential Statistics Link- https://kpu.pressbooks.pub/psychmethods4e/part/inferential-statistics/

Discussion - Applying Methodology

REVIEW

Applying the methodologies you've learned about is the goal of the next assignments, and this step can be quite challenging. A key to being successful in this class is not just summarizing methodologies, but demonstrating your ability to put them into practice. Two key areas that can be particularly challenging are identifying the data collection tool you're recommending and the analysis methodology.

For tools, these can be interviews, surveys, questionnaires, tests, observations, and other approaches. You cannot just name a tool without details and justification or that you'll just make one. For an established tool, you need to cite its development and validation and explain why it is useful. For a tool you'll develop, you need to explain how it will be developed and validated.

For analysis methodology, you need to provide strong details on how the analysis will actually occur. Remember, this is a researchmethodscourse, so methods are critical. For qualitative, you need to explain and justify the coding methodology. For quantitative, you'll need to identify and justify the specific inferential statistic(s) appropriate for the data you're collecting and to answer your research question. Graphs, tables, and charts are visualizations and not analysis methods.

Use the links and review listed above to help answer the questions below.

What are the data tools you plan to propose? How were they developed/validated? Why are they best for your project?

What is the analysis methodology you plan to propose? Why is this the best approach for your project?