This week, we are building on the concept of levels of measurement to show how different descriptive statistics are appropriate for different types of variables. That i

 The visuals for each type of chart need to be copied & pasted from SPSS. 

Descriptive Statistics Lab

This week, we are building on the concept of levels of measurement to show how different descriptive statistics are appropriate for different types of variables. That is, some descriptive statistics are better at describing certain variable types but not others. For example, if I want to describe the center of an interval or ratio level variable, I would be better served by using the mean or median than I would be if I used the mode. Your task will be to apply the conceptual knowledge of matching levels of measurement with appropriate descriptive statistics as a way to analyze variables in SPSS.

• Activity:
  • Download the lab data HERE Download HERE https://piedmont.instructure.com/courses/28830/fil…
  • This data set should be familiar because we worked with it last module. Review the data and refresh your understanding of the variables.
  • Take particular note of the information in the Measure column. Use this information to make decisions about which descriptive statistics you will run for each variable.
  • For each variable, run descriptive statistics and identify which measures are most appropriate for describing the variable.
  • **Note: Make sure to put your work into 1 single Word document that you will submit for this assignment. Include your answers to the questions AND the SPSS output in the Word document that you submit.
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Rubric

SPSS Lab Rubric

SPSS Lab Rubric

CriteriaRatingsPts

This criterion is linked to a Learning OutcomeAccuracy

3 pts

Exemplary

No more than 2 incorrect answers. High attention to detail and excellent application of course curriculum to module activity.

2 pts

Competent

3-5 incorrect answers. Moderate attention to detail and good application of course curriculum to module activity.

1 pts

Developing

More than 5 incorrect answers. Poor attention to detail and poor application of course curriculum to module activity.

3 pts

This criterion is linked to a Learning OutcomeOrganization

2 pts

Exemplary

Submission is clean, immaculately organized, contains all pieces of information required for the lab. SPSS output organized very well and clearly connected to text answers.

1 pts

Competent

Submission is mostly organized, if missing pieces of information, only missing 1-2 pieces of information. SPSS output mostly organized and generally has a clear connection to text answers.

0 pts

Developing

Submission is disorganized, missing several pieces of information, and generally difficult to read. SPSS output unclear in its organization and possibly missing.