Post on 13-Jan-2016
description
The University of Texas-Pan American
Presented by:
S.J. Sethi, Ph.D. & Sam ShiOffice of Institutional Research & Effectiveness
Major Migration by College
at UTPA
February 6, 2008
Outline
Introduction
Data and Results
Methodology - SPSS & Syntax
Technical Reflections
Use of Results
Future Plans
Introduction
Purpose:
To get a better understanding of degree mobility of students and their graduation rates by college
This report tracks the six-year graduation rates of the first-time, full-time & part-time 2000 cohort by the college
of their intended major and by the college from which they graduated.
Data
2000 cohort was 2,083 students; 633 (30%) graduated in 6 years.
82% of the students declared a major; 18% were undecided.
6 colleges at UTPA:
College of Arts & Humanities (8%)
College of Business (16%)
College of Education (9%)
College of Health Sciences and Human Services (14%)
College of Social Behavioral Sciences (12%)
College of Science and Engineering (24%)
Table 1
Fall 2000 First-time Full-time & Part-time Freshman Cohort
Intended College and Graduating College
Total Cohort Graduated in 6 years
Intended College (major)
From Intended College
MIGRATED TO Other
College
MIGRATED FROM
Other College Total Graduates
Intended College # (a)% of
Cohort #% of (a) #
% of (a) #
% of (a) #
% of (a)
% of grads
College of Arts & Humanities 167 8% 47 28% 10 6% 61 37% 108 65% 17%
College of Business Admin 327 16% 89 27% 31 9% 57 17% 146 45% 23%
College of Education 190 9% 45 24% 28 15% 67 35% 112 59% 18%
College of Hlth Scs & Human Svs 287 14% 29 10% 51 18% 33 11% 62 22% 10%
College of Social & Beh Scs 248 12% 28 11% 29 12% 42 17% 70 28% 11%
College of Science & Engg 490 24% 104 21% 64 13% 31 6% 135 28% 21%
Undecided 374 18% - - - - - - - - -
TOTAL 2,083 100% 342 16% 213 10% 291 14% 633 30% 100%
Source: CBM Files from 2000 to present, OIRE, UTPA, Edinburg, TX
Results
Table 2
Fall 2000 First-time Full-time & Part-time Freshman Cohort
6 Year Graduates - Migration of Students among Colleges
Actual Graduating College
Intended College (major)
Intended College of Graduates CoAH CoBA CoE CoHSHS CoSBS CoSE
College of Arts & Humanities (82%) 57 47 3 4 2 1 0
College of Business Administration (74%) 120 8 89 10 4 8 1
College of Education (62%) 73 10 7 45 4 5 2
College of Health Scs & Human Svs (36%) 80 9 6 22 29 7 7
College of Social & Behavioral Scs (49%) 57 15 4 3 3 28 4
College of Science & Engineering (62%) 168 10 20 15 12 7 104
Undecided 78 9 17 13 8 14 17
TOTAL 633 108 146 112 62 70 135
Source: CBM Files from 2000 to present, OIRE, UTPA, Edinburg, TX
Results
The entire cohort
Number of times major is changed Frequency Percent
0 1,031 49%
1 657 32%
2 284 14%
3 88 4%
4 19 1%
5 3 0%
6 1 0%
Total 2,083 100%
Source: 2000 Cohort Data File, OIRE, UTPA, Edinburg, TX
Graduated in 6 years
Number of times major is changed Frequency Percent
0 146 23%
1 290 46%
2 144 23%
3 44 7%
4 8 1%
5 1 0%
Total 633 100%
Did not graduate in 6 years
Number of times major is changed Frequency Percent
0 885 61%
1 367 25%
2 140 10%
3 44 3%
4 11 1%
5 2 0%
6 1 0%
Total 1,450 100%
Table 3Number of times students change majors
UTPA 2000 First-time Full-time & Part-time Cohort
Results
Files Involved
Fall 2000 Cohort (Full-time + Part-time)
CBM001 certified files (Fall 2000 – Fall 2006 including Springs)
CBM009 certified files (AY2002 – AY2006)
Student files (Fall 2000 – Fall 2006 including Springs) – including variables or calculated variables that CBM001 doesn’t have
Variables Involved
ID – to merge between different files
Demographic variables
College, Department, Major, Classification, Full-time and Part-time status, Cumulative GPA (future study) in every enrollment semester and at the time of graduation
Methodology - Files Used
Merge files
Merge the cbm001 certified files with the student files for each semester by student ID.
Merge the Fall 2000 Cohort file with the already merged cbm001 and student files to get every year’s enrollment status.
Merge the Fall 2000 Cohort file with the cbm009 graduation files to get students’ graduation
status.
Methodology - SPSS
Calculate Major Change/* Use this script with EXTREME CAUTION. Since it changes the existing values of the current variables. Apply this syntax
only to the files in this folder.*/
compute maj_change = 0.
/*take care of cases that a student miss a semester and come back with the same major*/
if(tb_major_20011 > '0' & tb_major_20012 <= '0') tb_major_20012 = tb_major_20011.
If(tb_major_20012 > ‘0’ &tb_major_20021 <= ‘0’) tb_major_20021 = tb_major_20012.
if(tb_major_20021 > '0' & tb_major_20022 <= '0') tb_major_20022 = tb_major_20021.
if(tb_major_20022 > '0' & tb_major_20031 <= '0') tb_major_20031 = tb_major_20022.
if(tb_major_20031 > '0' & tb_major_20032 <= '0') tb_major_20032 = tb_major_20031.
if(tb_major_20032 > '0' & tb_major_20041 <= '0') tb_major_20041 = tb_major_20032.
if(tb_major_20041 > '0' & tb_major_20042 <= '0') tb_major_20042 = tb_major_20041.
if(tb_major_20042 > '0' & tb_major_20051 <= '0') tb_major_20051 = tb_major_20042.
if(tb_major_20051 > '0' & tb_major_20052 <= '0') tb_major_20052 = tb_major_20051.
if(tb_major_20052 > '0' & tb_major_20061 <= '0') tb_major_20061 = tb_major_20052.
if(tb_major_20061 > '0' & tb_major_20062 <= '0') tb_major_20062 = tb_major_20061.
if(tb_major_20062 > '0' & tb_major_20071 <= '0') tb_major_20071 = tb_major_20062.
if (tb_major_20012 > '0' & tb_major_20011 > '0' & tb_major_20012 ~= tb_major_20011) maj_change = maj_change + 1.
if (tb_major_20021 > '0' & tb_major_20012 > '0' & tb_major_20021 ~= tb_major_20012) maj_change = maj_change + 1.
if (tb_major_20022 > '0' & tb_major_20021 > '0' & tb_major_20022 ~= tb_major_20021) maj_change = maj_change + 1.
if (tb_major_20031 > '0' & tb_major_20022 > '0' & tb_major_20031 ~= tb_major_20022) maj_change = maj_change + 1.
if (tb_major_20032 > '0' & tb_major_20031 > '0' & tb_major_20032 ~= tb_major_20031) maj_change = maj_change + 1.
if (tb_major_20041 > '0' & tb_major_20032 > '0' & tb_major_20041 ~= tb_major_20032) maj_change = maj_change + 1.
if (tb_major_20042 > '0' & tb_major_20041 > '0' & tb_major_20042 ~= tb_major_20041) maj_change = maj_change + 1.
if (tb_major_20051 > '0' & tb_major_20042 > '0' & tb_major_20051 ~= tb_major_20042) maj_change = maj_change + 1.
if (tb_major_20052 > '0' & tb_major_20051 > '0' & tb_major_20052 ~= tb_major_20051) maj_change = maj_change + 1.
if (tb_major_20061 > '0' & tb_major_20052 > '0' & tb_major_20061 ~= tb_major_20052) maj_change = maj_change + 1.
if (tb_major_20062 > '0' & tb_major_20061 > '0' & tb_major_20062 ~= tb_major_20061) maj_change = maj_change + 1.
if (tb_major_20071 > '0' & tb_major_20062 > '0' & tb_major_20071 ~= tb_major_20062) maj_change = maj_change + 1.
execute.
Methodology - Syntax
Syntax for Tables 1 and 2USE ALL.
COMPUTE filter_$=(tb_major ~= "UNDE").
VARIABLE LABEL filter_$ 'tb_major ~= "UNDE" (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMAT filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE .
CROSSTABS
/TABLES=tb_coll BY tb_coll_graduation
/FORMAT= AVALUE TABLES
/CELLS= COUNT
/COUNT ROUND CELL .
Methodology - Syntax
FREQUENCIES VARIABLES=maj_change /ORDER= ANALYSIS .
USE ALL.COMPUTE
filter_$=(year_graduation > '0').
VARIABLE LABEL filter_$ "year_graduation > '0' (FILTER)".
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMAT filter_$ (f1.0).FILTER BY filter_$.EXECUTE .FREQUENCIES VARIABLES=maj_change /ORDER= ANALYSIS .
USE ALL.COMPUTE
filter_$=(year_graduation <= '0').
VARIABLE LABEL filter_$ "year_graduation <= '0' (FILTER)".
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMAT filter_$ (f1.0).FILTER BY filter_$.EXECUTE .FREQUENCIES VARIABLES=maj_change /ORDER= ANALYSIS .
Syntax for Table 3
Methodology - Syntax
The importance of standardized variables
Automate and speed up the merging process
How to technically determine if a student’s major is changed or not especially when the student missed a semester?
Technical Reflections
Understanding Student Behavior
Academic Student Advising
Evaluation of Academic Programs
Assessment at time of Entry
Use of Results
Add more variables
How age and ethnicity affect major migration?
How GPA is affected after major migration?
The results as raw data for future study
Major migration pattern changes across years
Future Plans
Questions
Contact Information:
S.J Sethi: sjsethi@utpa.edu
Sam Shi: xshi@utpa.edu
Office of Institutional Research & Effectiveness: 381-2383