PSY-604 – Module 2 Assignment: Using SPSS to Analyze Correlations and T-Tests
Use the following SPSS software:
https://stuedu.sharepoint.com/sites/stuoit/Shared%20Documents/Forms/AllItems.aspx?ga=1&id=%2Fsites%2Fstuoit%2FShared%20Documents%2FStudent%20Apps%2FSPSS28%20%2D%20Windows%2FSPSS28%5FInstaller%5FWin%2Eexe&parent=%2Fsites%2Fstuoit%2FShared%20Documents%2FStudent%20Apps%2FSPSS28%20%2D%20Windows
Link to Data Analysis Sets:
https://wps.pearsoned.co.uk/ema_uk_he_mayers_statspss_1/239/61356/15707255.cw/index.html
Part 1: Use the “Alcohol and reaction time” data analysis set:
Run the appropriate correlation analysis for each of the following:
– Average units of alcohol with reaction time.
– Mood with reaction time.
– Mood with reaction time, controlling for average units of alcohol.
– Mood with gender.
Then, copy and paste the results into your assignment.
Then . . .
– Develop an alternative hypothesis and null hypothesis for each of the scenarios.
– Identify the variables and their attributes.
– Discuss the results you received whether you reject or fail to reject the null hypotheses and why.
Part 2: Use the “Computer Games” data analyses set:
– Check for normal distribution across hours played on computer games.
– Conduct an independent t-test.
Then copy and paste the results into your assignment.
Then
– Explain the importance of knowing whether or not the data has a normal distribution.
– Develop an alternative hypothesis and null hypothesis for the scenario.
– Identify the variables and their attributes.
– Discuss the results you received whether you reject or fail to reject the null hypotheses and why.
Part 3: Use the “Satisfaction with treatment” data analyses:
– Check for normal distribution at both time points.
– Conduct a related t-test.
Then copy and paste the results into your assignment.
Then
– Explain what the effect size is and why it is important.
– Develop an alternative hypothesis and null hypothesis for the scenario.
– Identify the variables and their attributes.
– Discuss the results you received whether you reject or fail to reject the null hypotheses and why.
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