Psychology Question
Before you begin the assignment:
Read Chapter 14 in your Discovering Statistics Using IBM SPSS Statistics
Review the first half of the video tutorial (up to 6:43) for helpful information to answer the questions in this assignment. Disregard the second half of the video that discusses conducting a repeated-measures analysis (ANOVA), as this is not needed for this assignment.
Access and open the Snake Anxiety SPSS data set.
An overview of the data set:
This data set represents hypothetical data from a study that examined the level of anxiety that people with a snake phobia felt in three different scenarios. The same people were tested in each scenario. That is, each person experienced all three conditions.
Here is some more information about the variables in this hypothetical data set:
Number: This is the ID number of the participant
See_Distance: This is participants’ anxiety (scores could range from 40 to 100, with high numbers indicating higher anxiety) when they saw a large snake that was about 20 feet away.
See_Close: This is participants’ anxiety (scores could range from 40 to 100, with high numbers indicating higher anxiety) when they saw a large snake that was about 5 feet away.
Touch: This is participants’ anxiety (scores could range from 40 to 100, with high numbers indicating higher anxiety) when they touched a large snake.
Questions:
1) Briefly explain in your own words the difference between a between-subjects design and repeated measures design.
2a) Examine the means of the three anxiety conditions.
2b) Describe the differences that you see between the means.
3a) Conduct a dependent samples t-test on See_Distance and See_Close.
3b) Report the results of this test in APA style. Refer to Tips for Reporting Statistics in APA Style for help with formatting your results in APA style.
4) Make up and describe a specific experiment that would call for a repeated measures ANOVA. Be sure to describe each level of the independent variable(s) and to describe the dependent variable. Explain why a repeated measures ANOVA would be necessary for this experiment.
