Podcast
Questions and Answers
When should Spearman's rank correlation be preferred over Pearson's correlation?
When should Spearman's rank correlation be preferred over Pearson's correlation?
- When the data is ordinal or when the assumptions for Pearson's correlation are not met. (correct)
- When calculating correlation using JASP software.
- When dealing with data that is normally distributed.
- When the relationship between variables is known to be linear.
What does a significant Pearson's r correlation of .85 between ratings of the Barbie movie and the Oppenheimer movie indicate?
What does a significant Pearson's r correlation of .85 between ratings of the Barbie movie and the Oppenheimer movie indicate?
- As ratings for Barbie increased, ratings for Oppenheimer also increased. (correct)
- The ratings for the Oppenheimer movie were consistently higher than the Barbie movie.
- As ratings for Barbie increased, ratings for Oppenheimer decreased.
- There is no relationship between the ratings of the two movies.
What is the primary purpose of using correlation tests like Pearson's r and Spearman's rank?
What is the primary purpose of using correlation tests like Pearson's r and Spearman's rank?
- To predict the value of one variable based on the value of another with complete accuracy.
- To assess the strength and direction of the relationship between two variables. (correct)
- To compare the means of two or more groups.
- To determine causation between variables.
A researcher finds a Spearman's rho of 0.69, p = 0.035 between hours spent on TikTok and class performance rank. How should this be interpreted?
A researcher finds a Spearman's rho of 0.69, p = 0.035 between hours spent on TikTok and class performance rank. How should this be interpreted?
When interpreting correlation results, what does the p-value primarily indicate?
When interpreting correlation results, what does the p-value primarily indicate?
In APA style, how would you typically report a Pearson's correlation result where r = .85 and p = .002?
In APA style, how would you typically report a Pearson's correlation result where r = .85 and p = .002?
What kind of data is most suitable for Spearman’s correlation?
What kind of data is most suitable for Spearman’s correlation?
A study aims to investigate the relationship between 'number of hours studying' and 'exam performance'. Which test would be most suitable?
A study aims to investigate the relationship between 'number of hours studying' and 'exam performance'. Which test would be most suitable?
In JASP, to conduct correlation tests, which menu would you typically use?
In JASP, to conduct correlation tests, which menu would you typically use?
Which of the following correlation coefficients indicates the strongest relationship between two variables?
Which of the following correlation coefficients indicates the strongest relationship between two variables?
Flashcards
Purpose of Correlation Tests
Purpose of Correlation Tests
Correlation tests, like Pearson's r and Spearman's rank, assess the relationship between two variables.
Key Differences: Pearson's vs. Spearman's
Key Differences: Pearson's vs. Spearman's
Pearson's r measures linear relationships between continuous variables, while Spearman's rank measures monotonic relationships between ordinal or non-normally distributed variables.
Pearson's r test
Pearson's r test
Pearson's r is a measure of the linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance.
Spearman's rho test
Spearman's rho test
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Significant Positive Relationship
Significant Positive Relationship
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Study Notes
- The aim is to understand the purpose of correlation tests (Pearson's r and Spearman's rank) and when to use them, understand the key differences between Pearson's and Spearman's tests, calculate both tests using JASP software, interpret the results of the tests and write them up following APA standards, and practice this during experiment week.
- This week focuses on activities for a clearer understanding of correlational design, data types, and practice running correlational tests in JASP.
Activities
- There are three worksheet activities designed to assess the understanding of correlational design, relationships, data types, and how to interpret correlation coefficients, allocate approximately 30 minutes.
- Activity Worksheet 4 provides two example research scenarios with related datasets to answer questions and conduct the appropriate correlation test requiring approximately 1 hour.
- Answers to all activities will be released at the same time to allow compare answers while working, but it is recommended not to look at the answers before attempting the activities for a better learning experience
Pearson's r Test Example
- Pearson's r test explores the relationship between ratings (from 1-10, 10 being highest preference) of the Barbie film and the Oppenheimer film.
- Results in JASP indicates X (Barbie Rating) and Y (Oppenheimer Rating) equal to 0.845 with a p value of 0.002
- A Pearson's r of .85 and p = .002 (less than .05) indicates a significant positive relationship.
- As ratings for Barbie increased, ratings for Oppenheimer increased.
Spearman's Rho Test Example
- Spearman's rho test explores the relationship between hours spent on TikTok and class performance ranking (1st is best, 10th is worst).
- Results in JASP indicates TikTok (X) and Performance rank (Y) equal to 0.685 with a p value of 0.035.
- A Pearson's r of .69 and p = .035 (less than .05) indicates a significant positive relationship.
- As hours on TikTok increased, performance rank position was higher (indicating poorer performance).
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