# PSY 325 Potential Instructors / tutorialrank.com

View again

All materials on our website are shared by users. If you have any questions about copyright issues, please report us to resolve them. We are always happy to assist you.
PDF
10 pages
0 downs
7 views
Share
Description
For more course tutorials visitwww.tutorialrank.comPSY 325 Week 1 Assignment Final Paper Topic ProposalPSY 325 Week 1 DQ 1 Types of DataPSY 325 Week 1 DQ 2 Measures of Variability and Central TendencyPSY 325 Week 2 Assignment Article SummaryPSY 325 Week 2 DQ 1 GraphsPSY 325 Week 2 DQ 2 Standard Normal DistributionPSY 325 Week 3 Assignment Final Paper OutlinePSY 325 Week 3 DQ 1 Choose the AnalysisPSY 325 Week 3 DQ 2 Repeated Measures
Transcript
PSY 325 Potential Instructors / tutorialrank For More Best A+ Tutorials www.tutorialrank.com ASHFORD PSY 325 Entire Course ASHFORD PSY 325 Week 1 Assignment Final Paper Topic Proposal
• PSY 325 Week 1 Assignment Final Paper Topic Proposal
• PSY 325 Week 1 DQ 1 Types of Data
• PSY 325 Week 1 DQ 2 Measures of Variability and Central Tendency
• PSY 325 Week 2 Assignment Article Summary
• PSY 325 Week 2 DQ 1 Graphs
• PSY 325 Week 2 DQ 2 Standard Normal Distribution
• PSY 325 Week 3 Assignment Final Paper Outline
• Final Paper Topic Proposal. For the Final Paper, you will identify three to five research studies from peer-reviewed sources that were published within the last ten years, which investigate a particular social science problem or topic. The Final Paper will focus on critiquing the varying statistical approaches used in each of these studies.
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 1 DQ 1 Types of Data ASHFORD PSY 325 Week 1 DQ 2 Measures of Variability and Central Tendency
• Types of Data. Give an example of a research question that includes an independent and a dependent variable. These are usually presented as, "How does A affect B?", where A is your independent variable and B is your dependent variable. Describe the independent and dependent variables in terms of whether they are nominal (also called categorical), ordinal, interval, or ratio variables (interval or ratio variables are also called continuous variables). How would you study this research question?
• Measures of Central Tendency. For this discussion, come up with 20 different data points (set of data) and enter them into the first column in an Excel spreadsheet. The data points can be any numbers you want as long as there are 20 of them. Your set of data should reflect one of the following criteria:
• Create a set of data for which the mean is greater than the median.
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 2 Assignment Article Summary ASHFORD PSY 325 Week 2 DQ 1 Graphs
• Article Summary. For your Final Paper you will identify three to five quantitative research studies from peer-reviewed sources which were published within the last ten years and that investigate a particular social science problem or topic. The Final Paper will focus on critiquing the varying statistical approaches used in each of these studies and assess the strengths and weaknesses of each as it relates to the study of the problem or topic identified.
• Graphs. Give one example of health-related data (a variable) that can be represented by a pie chart. Do the same for a bar chart and a histogram. Explain why each data example you selected (there will be a total of three different variables) is well represented by the corresponding graph.
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 2 DQ 2 Standard Normal Distribution ASHFORD PSY 325 Week 3 Assignment Final Paper Outline
• Standard Normal Distribution. Review Chapter 3 of your course text, which introduces probability and the standard normal distribution. When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution? What is the relationship between z-scores
• Final Paper Outline. This week, your assignment is to prepare an outline for the Final Paper that is due next week. Review the Final Paper requirements, which are located in Week Five of your course or in the “Components of Course Evaluation” section of this guide.
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 3 DQ 1 Choose the Analysis ASHFORD PSY 325 Week 3 DQ 2 Repeated Measures
• Choose the Analysis. A researcher wishes to study the effect of a new drug on blood pressure. Would you recommend using a z-test, a t-test, or an A.N.O.V.A. for the analysis? Explain your answer. What would your choice of test depend on? For the test you select, explain your design and your comparison groups. Would the hypothesis be directional or non-directional? Would the test be one-tailed or two-tailed? What would be the null and what would be the alternative hypothesis?
• Repeated Measures. Review Chapter 7 of your course text, which reviews inferential statistics that analyze experiments of repeated measures designs. For this discussion, search the University Library and find a scholarly, peer-reviewed study on any behavioral or social sciences topic that used a repeated measures design. Reference the study and summarize the research question, the subjects, and the variable(s) of interest. What statistical analysis was used and what were the results? Were there any statistically significant differences?
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 4 DQ 1 Correlation ASHFORD PSY 325 Week 4 DQ 2 Regression
• Correlation. Much has been written about the relationship between a student’s S.A.T. test scores and their family’s income. Generally speaking, there is a strong positive correlation between income and S.A.T. scores. What might this tell you? Is this evidence that having a high family income causes one to have high S.A.T. scores? Is this evidence that high S.A.T. scores are a cause of high income? Or, does this tell you something else?
• Regression. Explain the relationship between correlation and regression. What do the two approaches have in common, and how are they different? In what types of research might one approach be preferred over the other? Explain and justify your response. Be sure that your discussion refers to both predictor and criterion variables as well as their role in the regression equation.
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 5 DQ 1 Chi ASHFORD PSY 325 Week 5 DQ 2 Chi
• Chi-Square Goodness-of-Fit Test. Describe the chi-square goodness-of-fit test. Provide a detailed explanation of what this test measures, and how it is similar to and different from the independent t-test. How do you know when to use one analysis over the other? Provide a real-world example.
• Chi-Square Test of Independence. Describe the chi-square test of independence. Give an example of a question that could be answered using this test. If you were to assemble a contingency table, what would be included in your rows and columns? Pick a cell of this contingency table and explain what the value in the cell would represent (you do not need to give the value, just explain what it would represent)? What hypothesis would be tested? What do you think the answer would be? Why?
• PSY 325 Potential Instructors / tutorialrank ASHFORD PSY 325 Week 5 Final Paper
• For your Final Paper you will conduct a research study critique. Utilize the instructor-approved topic that you selected in Week One of the course. Identify three to five quantitative research studies from peer-reviewed sources which were published within the last ten years that investigate this topic. Describe the statistical approaches (i.e., identify the variables and their type) used in each study and the interpretation of the results. Finally, present other statistical approaches that could have been used and, when appropriate,
• PSY 325 Potential Instructors / tutorialrank For More Best A+ Tutorials www.tutorialrank.com PSY 325 Potential Instructors / tutorialrank
Related Search
Similar documents

View more...