Measures of Association
Standard Scores/Analysis of Descriptive Data
Testing Mean Differences between Groups
Effect Size Expressed as a Function of Mean Differences
100

This concept is used to determine the strength of the linear relationship between two variables

What is Correlation Coefficient?

100

This term is also called Z scores in statistics

What are standard scores?

100

Statistical significance is less than this number

What is > 0.05?

100

This measure provides us the effect size


What is the d-statistic?

200

This method of analysis is best used to analyze ordinal data

What is Rank Order Measures?

200

This term helps us compare 2 different test scores that have different means and standard deviations

What are standard scores?

200

You are a student at York University, and someone brings up the idea of comparing average scores between people taking classes during COVID versus after the pandemic. This would be an example of…

What is a T test?

200

This measures the strength of the relationship between variables

What is an effect size?

300

This is the symbol for the sample correlation coefficient.

What is r?

300

This is a type of descriptive data

What is:

- Comparisons of different departments, locations, occupational groups etc?

- Comparisons with similar groups in other organizations?

- Comparisons of the responses of similar groups across time?

- Comparisons of the same group to different aspects of some content area, such as training program or work situation?


300

Congrats, you are a world-renowned researcher and want to look at differences in means between more than two groups - you would use this statistical tool to measure this

What is Anova/Analysis of variance?

400

To study the relationship between level of employee education and employee motivation, you would use the following method.


What is the phi coefficient?

400

You are not a researcher but were bored and created a survey testing whether people see a dress as blue or gold. You looked at two different groups of people (men and women) and compared the different means. You then realized that the means/ results were all the same and there was no statistical difference - this lack of statistical difference is called

What is the null hypothesis?