Exam 11: Bivariate Correlation
Identify a research question that could be answered through a correlation analysis. How would you design your study?
A research question that could be answered through a correlation analysis could be: "Is there a relationship between the amount of time spent studying and academic performance?"
To design this study, you would first need to collect data on the amount of time students spend studying and their corresponding academic performance, such as their grades or test scores. This data could be collected through surveys or by accessing academic records.
Once the data is collected, you would then use a correlation analysis to determine if there is a relationship between the two variables. This could involve calculating the correlation coefficient, such as Pearson's r, to measure the strength and direction of the relationship.
Additionally, it would be important to consider potential confounding variables, such as prior knowledge or study habits, and control for these in the analysis to ensure that any observed correlation is not due to other factors.
Overall, the study would involve collecting data on studying time and academic performance, conducting a correlation analysis, and interpreting the results to determine if there is a relationship between the two variables.
A correlation coefficient of 0 means what about the relationship of the variables?
D
Describe how you might use a correlation analysis to answer a question relevant to Jim's case.
Correlation analysis can be used to answer a question relevant to Jim's case by examining the relationship between different variables. For example, if we want to understand the relationship between Jim's level of stress and his productivity at work, we can use correlation analysis to determine if there is a significant correlation between the two variables. This can help us understand if high levels of stress are negatively impacting Jim's productivity.
Additionally, we can use correlation analysis to explore the relationship between Jim's job satisfaction and his overall well-being. By examining the correlation between these two variables, we can determine if job satisfaction has a positive impact on Jim's well-being.
Furthermore, we can use correlation analysis to investigate the relationship between Jim's work hours and his work-life balance. This can help us understand if longer work hours are negatively impacting Jim's ability to maintain a healthy work-life balance.
Overall, correlation analysis can be a valuable tool in Jim's case to help us understand the relationships between different variables and how they may be impacting his overall well-being and productivity.
What is the range of all possible values of the correlation coefficient?
The sign of the correlation coefficient, positive or negative, refers to the __________________ of the relationship between the variables.
The Pearson product moment correlation is useful to examine the curvilinear relationship of continuous variables.
If you would like to examine the relationship between two categorical variables, which type of correlation coefficient would you use?
The dependent variable in a correlation is usually represented on the vertical axis of the scatterplot.
Correlation is examined based on how much the two variables co-vary.
If you run the Pearson product moment correlation on a set of data and you find a p-value of .02, what can you conclude about your hypothesis?
After graphing your data, a pattern emerges in which the data points start out in the upper left of your plot and move toward the lower right. How would you describe this relationship?
A relationship with a negative product moment correlation coefficient is considered a negative relationship.
A correlation is aimed at examining the __________________ between two concepts.
How would you choose to visually represent your correlational data?
The _____________________ is a numerical indicator used to represent the relationship between two variables.
Mary performs an analysis of her volunteers and finds a -.74 correlation coefficient between the number of hours spent volunteers and the number of hours worked per week at a paid position. How would you assess the strength of this relationship?
The Spearman rank coefficient is used for correlations between ordinal variables.
Becky finds that when the temperatures increase in the summer, less people show up for work at her organization. What type of relationship is she describing?
After you plot your data points, there is no clear pattern formed. How would you describe this relationship?
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