Complete a worksheet focused on correlations, ANOVAs, and chi-squares.
Text Book:
Statistics for Psychology, 7th Edition
ISBN: 9780136658313
By: Arthur Aron Ph.D.; Elaine N. Ar
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
One important difference between a t-test and a correlation is that
t-tests compare two groups, while correlation compares two variables.
Let’s take a moment to consider the difference between a group and a
variable. If we are studying depression, we could have one group of
people with depression and one group of people without depression. In
this example, we are looking for a difference between the groups. On the
other hand, we could rate how depressed people were (from not depressed
at all to severely depressed). In this case, depression is a variable.
What do you do if you have more than two groups? Or more than two
independent variables? That’s where analysis of variance (ANOVA) comes
in, and it’s a powerful tool that allows us to compare more than two
groups or variables at the same time.
What if your data are names and not numbers? We often look at data
that are names (nominal data). The chi-square test is the tool to use
when you have nominal data for one of your variables.
This assessment will have you demonstrate your knowledge of
correlations, ANOVAs, and chi-square tests. You’ll again consider
statistics-related careers as well. You’ll also continue to work with
your data for Assessment 4.
Note: The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
Before you begin the assessment, complete the following:
Download the Planning for Your Data [DOCX] worksheet.
Below are the data files for your reference:
Note: The GSS Data 2018 [XLSX]
has all of the data for all of the variables. The other files are
JASP-compatible files with two variables each. These data files are
labeled with the names of the two variables. To find the data file for
your specific project, look for the file that names both of your
variables.
News and Depress [CSV].
News and Happy [CSV].
News and Life [CSV].
News and Mntlhlth [CSV].
Raclive and Depress [CSV].
Raclive and Happy [CSV].
Raclive and Life [CSV].
Raclive and Mntlhlth [CSV].
Wwwhr and Depress [CSV].
Wwwhr and Happy [CSV].
Wwwhr and Life [CSV].
Wwwhr and Mntlhlth [CSV].
Find another opening (different from the one you picked for
Assessment 1) for a job you could apply for with a bachelor’s degree
that requires the use of statistics—some good, key search terms:
psychology research assistance or survey data analysis.
Complete and submit the Planning for Your Data [DOCX] worksheet.
Tips for Success
Pay attention to when you are asked to copy and paste JASP information and when you are not asked to do so.
Do each step one at a time. Running statistical tests requires paying attention to details.
Pay special attention to which data file to use—you’ll use several of them.
Keep JASP, your textbook, and Statistical Analysis in JASP: A Guide for Students open when working on your worksheet.
Read, don’t skim, each part of the worksheet. The text will often help you find the answer.
Do the entire worksheet (it’s long).
When you are done, scroll to the very end of the document. Then
scroll up slowly to double-check that you have an answer in each box.
Going in reverse (from the end to the beginning) is often the best way
to spot something you overlooked earlier.
By successfully completing this assessment, you will demonstrate your
proficiency in the following course competencies and scoring guide
criteria:
Competency 1: Interpret complex statistical findings and graphs in
the context of their level of statistical significance, including the
influence of effect size.
Interpret chi-square test results.
Interpret the results of a correlation test on the news and happy variable.
Interpret the results of a Spearman’s rho test on the news and life variables.
Interpret the results of an ANOVA test.
Competency 2: Apply statistical analyses to problems in the social sciences.
Describe nominal data and statistical analysis of nominal data.
Perform a chi-square test.
Explain how a correlation differs from other statistical tests.
Perform a Pearson correlation test on the news and happy variables.
Perform a Spearman’s rho test on the news and life variables.
Explain how ANOVA are different from other statistical tests.
Perform an ANOVA.
Explain when to use different statistical tests.
Identify your research question, statistical test, variables, and hypotheses for your final project.
Competency 4: Plan career contingencies based on accurate
self-assessment of abilities, achievement, motivation, and work habits
as they relate to statistics.
Plan career contingencies based on accurate self-assessment of abilities, achievement, motivation, and work habits.
Competency 6: Communicate quantitative data in statistics, graphs, tables, and in common language.
Communicate hypotheses and results of a Spearman’s rho test.
Planning for Your Data Scoring Guide-
Must Meet Distinguished Criteria.
Planning for Your Data Scoring Guide
Criteria Non-performance Basic Proficient Distinguished
Describe nominal data and statistical analysis of nominal data. Does not describe nominal data and statistical analysis of nominal data. Describes nominal data and statistical analysis of nominal data with more than three errors. Describes nominal data and statistical analysis of nominal data with 1–3 errors. Describes nominal data and statistical analysis of nominal data with no errors.
Perform a chi-square test. Does not perform a chi-square test. Performs a chi-square test with more than three errors. Performs a chi-square test with 1–3 errors. Performs a chi-square test with no errors.
Interpret chi-square test results. Does not interpret chi-square test results. Interprets chi-square test results with more than three errors. Interprets chi-square test results with 1–3 errors. Interprets chi-square test results with no errors.
Explain how a correlation differs from other statistical tests. Does not explain how a correlation differs from other statistical tests. Explains how a correlation differs from other statistical tests with more than three errors. Explains how a correlation differs from other statistical tests with 1–3 errors. Explains how a correlation differs from other statistical tests with no errors.
Perform a Pearson correlation test on the news and happy variables. Does not perform a correlation test on the news and happy variables. Performs a Pearson correlation test on the news and happy variables with more than three errors. Performs a Pearson correlation test on the news and happy variables with 1–3 errors. Performs a Pearson correlation test on the news and happy variables with no errors.
Interpret the results of a correlation test on the news and happy variable. Does not interpret the results of a correlation test on the news and happy variable. Interprets the results of a correlation test on the news and happy variable with more than three errors. Interprets the results of a correlation test on the news and happy variable with 1–3 errors. Interprets the results of a correlation test on the news and happy variable with no errors.
Perform a Spearman’s rho test on the news and life variables. Does not perform a Spearman’s rho test on the news and life variables. Performs a Spearman’s rho test on the news and life variables with more than three errors. Performs a Spearman’s rho test on the news and life variables with 1–3 errors. Performs a Spearman’s rho test on the news and life variables with no errors.
Interpret the results of a Spearman’s rho test on the news and life variables. Does not interpret the results of a Spearman’s rho test on the news and life variables. Interprets the results of a Spearman’s rho test on the news and life variables with more than three errors. Interprets the results of a Spearman’s rho test on the news and life variables with 1–3 errors. Interprets the results of a Spearman’s rho test on the news and life variables with no errors.
Communicate hypotheses and results of a Spearman’s rho test. Does not communicate hypotheses and results of a Spearman’s rho test. Communicates hypotheses and results of a Spearman’’ rho test with more than three errors. Communicates hypotheses and results of a Spearman’s rho test with 1–3 errors. Communicates hypotheses and results of a Spearman’s rho test with no errors.
Explain how ANOVA are different from other statistical tests. Does not explain how ANOVA are different from other statistical tests. Explains how ANOVA are different from other statistical tests with two errors. Explains how ANOVA are different from other statistical tests with one error. Explains how ANOVA are different from other statistical tests with no errors.
Perform an ANOVA. Does not perform an ANOVA. Performs an ANOVA with more than three errors. Performs an ANOVA with 1–3 errors. Performs an ANOVA with no errors.
Interpret the results of an ANOVA test. Does not interpret the results of an ANOVA test. Interprets the results of an ANOVA test with more than three errors. Interprets the results of an ANOVA test with 1–3 errors. Interprets the results of an ANOVA test with no errors.
Explain when to use different statistical tests. Does not explain when to use different statistical tests. Explains when to use different statistical tests with more than three errors. Explains when to use different statistical tests with 1–3 errors. Explains when to use different statistical tests with no errors.
Identify your research question, statistical test, variables, and hypotheses for your final project. Does not identify any your research question, statistical test, variables, and hypotheses for your final project. Identifies some of your research question, statistical test, variables, and hypotheses for your final project. Identifies your research question, statistical test, variables, and hypotheses for your final project. Correctly identifies your research question, statistical test, variables, and hypotheses for your final project.
Plan career contingencies based on accurate self-assessment of abilities, achievement, motivation, and work habits. Does not identify or plan career contingencies based on accurate
self-assessment of abilities, achievement, motivation, and work habits. Identifies but does not plan career contingencies based on accurate
self-assessment of abilities, achievement, motivation, and work habits. Plans career contingencies based on accurate self-assessment of abilities, achievement, motivation, and work habits. Plans career contingencies based on accurate self-assessment of
abilities, achievement, motivation, and work habits with a plan to meet
the requirements.
Please Let me know if you need anything else.
