[Ball State University]
Chapter VI

Uses of Institutional Data

This chapter explains some of the institutional and student data that are available for use within an assessment plan. Information that can be used to describe a particular class, to enhance survey data or to enhance test data is discussed.

Various data are routinely collected at the university level that can enhance and further explain assessment data collected by the department. Two types of data exist: departmental and student.

What departmental data is routinely available?

Possible Questions for Using Data with Course-related Assessment

Suggestions for Uses of Data with Program-related Assessment

Checklist of Available Student Data

Most universities, including Ball State, maintain a database that holds information about each student enrolled and/or admitted to the school. Along with information such as gender and age, SAT/ACT scores, high school percentile rank, and so forth, the database also stores information on the academic progress of students. Items generally available are listed below.

Basic Information

Admission Test Scores

  • Student name
  • SAT Scores (Math, Verbal, TSWE, Reading, Vocabulary)
  • Class level
  • ACT Scores (Composite, English, Math, Social Sci, Natural Sci)
  • Gender
  • Race

Academic Summary

Date of Birth

  • Hours Attempted

Resident Status

  • Hours Earned

State of Residence

  • Hours Transferred

County of Residence

  • Credit Points

Citizen

  • Grade Point Average

Honors status

Distinction status

Semester Summary

Entry Date

  • Hours Registered by Semester

Transfer status

Degree Objective

Admission Data

  • Degree
  • High School
  • Year Degree Expected
  • Date of HS Graduation
  • High School Rank in class

Program

  • High School Class Size
  • Department of Major
  • Program Type
  • Program
  • Term Entered Program

Using Student Data to Describe a Course

To assess its General Studies course, a department might use graphics to create a visual profile of students who are enrolled in the course, as illustrated below. Almost all the items on the preceding checklist can be graphically presented.

 

 

Using Student Data to Enhance Survey Data

A department may decide to administer an attitudinal survey to students enrolled in General Studies 100. To match survey responses with student database information, the survey will need to ask each student to provide their Social Security number. The following tables are samples of possible correlations of survey responses with information obtained from the student database.

 

General Studies 100

Survey Responses - Fall 1991

 

This course has shown me practical applications of General Studies concepts.

 
GPA Ranges

Strongly Agree

Agree

Indifferent

Disagree

Strongly Disagree

Percent Total

N

No GPA

19.6

62.7

8.5

9.2

-

100

153

<1.0

11.1

68.9

15.6

2.2

2.2

100

45

1.0 – 2.0

4.5

59.1

31.8

-

4.5

100

22

2.0 – 3.0

6.3

75.0

18.8

-

-

100

16

>3.0

25.0

50.0

25.0

-

-

100

4

 

 

This course has increased my understanding of theories in the field.

 
Student Class Level

Strongly Agree

Agree

Indifferent

Disagree

Strongly Disagree

Percent Total

N

Freshman

20.0

30.0

40.0

10.0

-

100

10

Sophomores

26.1

39.1

21.7

4.3

8.7

100

23

Juniors

5.7

51.4

25.7

11.4

5.7

100

70

Seniors

5.3

49.3

25.3

20.0

-

100

75

Using Student Data to Enhance Test Data

A department may decide to correlate test results with information about the students who took the test. Again, Social Security numbers may be needed to get the information.

General Studies 100

Final Exam - Fall 1991

 

Mean Score

Low Score

High Score

N

All Students 77.2 40 99 565
Gender        

Male

75.3 40 99 259

Female

78.9 45 99 306
College of Major        

Science

77.5 60 96 47

Planning

80.3 61 99 92

Business

79.0 40 99 106

Arts

74.2 40 89 51

Humanities

78.8 50 99 234

Education

76.1 40 94 35
Class Level        

Freshman

75.3 40 92 256

Sophomore

76.4 41 99 178

Junior

78.2 50 99 85

Senior

80.5 60 99 46

 

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