SlideShare une entreprise Scribd logo
1  sur  43
Télécharger pour lire hors ligne
Presenters:
     Pat Estes, Assessment Analyst, PEstes@edgewood.edu
     Liang Hou, Research Intern, LHou@edgewood.edu

                                                 Edgewood College
                   Office of Institutional Assessment and Research
This research was conducted under the
supervision of Dr. Yang Zhang, previous
Director of Institutional Research at
Edgewood College.
She can be contacted at:

Dr. Yang Zhang
Director of Institutional Research
Manoa Institutional Research Office
Office of the Vice Chancellor for Academic Affairs
University of Hawaii at Manoa
yz6@hawaii.edu

                                                     2
Overview
1.   Background
2.   Literature review
3.   Purpose of study
4.   Methodology
5.   Data analysis and results
6.   Recommendations and conclusions
7.   Discussion



                                       3
Background – Edgewood College
 Founded in 1881 by the Dominican Sisters of Sinsinawa
 Located in Madison, WI
 Total enrollment is around 2,700, with 2,000
  undergraduates and 700 master and Ed.D. students
 Majors: Liberal Arts and Professional degree programs
  (i.e., Education, business, nursing)
 Edgewood College is accredited by Higher Learning
  Commission since 1958


                                                          4
10 Year Average Edgewood
College (EC) Graduation Rates
 4-year graduation rate – 29%
    2012: 36%


 5-year graduation rate – 48%
    2012: 53%


 6-year graduation rate – 51%
    2012: 53%



                                 5
100.0%
         EC vs. HLC Peers = 4 Yr Grad
90.0%

80.0%
                        2010 4-year Graduation rate
70.0%

60.0%

50.0%

40.0%

30.0%

20.0%

 10.0%

 0.0%




                              Retrieved from College Results Online
                                                                      6
Recommended Goals
 4-year graduation rate – 50% (+21%)


 5-year graduation rate – 62% (+14%)


 6-year graduation rate – 66% (+15%)




                                        7
Problem Statement
 College tuition
 Federal and state funding
 Accountability
 Pressure to improve graduation rates/time to
 degree




                                                 8
Importance of Graduation Rates
and Time to Degree
 Living out our mission & our promise


 Graduation rate – common measure of success


 Less time = less debt + more income


 Happy alumni!


                                                9
Literature Review
               Student Characteristics                                     Institutional Characteristics
    Academic factors (e.g., academic                                Institutional effectiveness (i.e.,
    performance, Choice of major/field of                           supportive academic and social
    study, changing majors, taking                                  environments)
    remedial courses, study abroad)
    Pre-college factors (e.g., student scores                       Institutional type (e.g., 4-year, non-
    on college-admission tests SAT and                              profit, religious)
    ACT, HSGPA, AP credits)
    Family background (e.g., low SES, first                         Percentage of low-income students on
    generation)                                                     campus
    Personal life (e.g., working, living off-                       Institutional size and college selectivity
    campus, marriage)
    Demographics (e.g., gender and race)                            Financial aid and cost of tuition

For an extensive literature review, refer to Desjardins, Kim, & Rzonca (2003); Knight (1994, 2002, 2004); Burns
(2010), & Kuh, Kinzie, & Buckley (2006)                                                                           10
So What Is the Solution?




                           11
Purpose of Current Research
 Studies that examine factors impacting college
 students’ time to degree from the students’ perspective
 are limited

 Typically relied on quantitative methodology


 Our study deploys quantitative AND qualitative
 methodologies


                                                       12
Research Questions
1.   Do students graduate within a timeframe they are
     satisfied with?

2. What factors help or hinder timely graduation?


3. What steps can be taken to decrease time to degree?




                                                         13
Methodology
 Data collected Spring 2012

 Small mid-west liberal arts college

 Online survey distributed via Qualtrics

 All senior students expecting to graduate in Spring or
 Summer 2012

 62% response rate (162 / 263 students)
                                                           14
When you began at Edgewood, within what timeframe did
you expect to graduate?
      “Within 1 year” through “More than 6 years”

How long did it actually take you to graduate from Edgewood
College since you began here?
       “Within 1 year” through “More than 6 years”

How satisfied are you with the length of time it took you to
complete your degree?
       “Very Satisfied” through “Very Dissatisfied” (5-point Likert
scale)

Please comment on those factors that helped you to graduate
on time and/or the barriers you experienced to a timely
graduation.
       Open-ended

                                                                  15
Quantitative Analysis - Gap Analysis
  8% graduated one or two years earlier than expected


  72% graduated within expected time frame


  15% took one year longer than expected


  4% took two years longer than expected


  Only 1% graduated in three years or longer than expected

                                                              16
Quantitative Analysis -Satisfaction
 All Respondents
    83% combined satisfaction rate
        46% “very satisfied” and 37% “satisfied”
    Mean = 4.22 (on 5-point scale)

 Started at Edgewood
    M = 4.26

 Transfer
    M = 4.18

 Compared to 80% of students who graduated in their expected
  time frame, a higher satisfaction rate of 83% was found in
  students’ responses.
                                                                17
Gap * Satisfaction Crosstabulation
                                    Satisfaction
                       Very                                      Very
                     Satisfied Satisfied Neutral Dissatisfied Dissatisfied   Total
             % of
      -2     Total     0%        1%       0%          0%          0%         1%
             % of
      -1     Total     6%        1%       0%          0%          0%         7%
             % of
         0   Total    41%       26%       5%          1%          0%         72%
Gap          % of
         1   Total     0%        9%       5%          2%          0%         15%
             % of
         2   Total     0%        1%       1%          2%          1%         4%
             % of
         3   Total     0%        0%       0%          1%          1%         1%
             % of
 Total       Total    46%       37%       10%         5%          1%         100%
                                                                               18
Qualitative Analysis Procedure
 Grounded theory
   Generate or discover a theory
                                         (Glaser and Strauss, 1967)


 Grounded theory defined as:
    The discovery of theory from data systematically
     obtained from social research’
                                       (Glaser and Strauss 1967: 2)




                                                                  19
Data Coding Procedures
1. Preview all responses and record emerging indicators.
   Continued to add new indicators, until eventually the
   indicators become saturated and no new ones could be
   formed.
2. Compared indicators. Consistent and similar ones were
   combined into themes. Similar themes were used to form
   factors. Themes that could not be combined with other
   themes were considered independent factors.
3. Built a coding book that includes indicators, themes, and
   factors. Assigned a code to each indicator.


                                                               20
Data Coding and Factor Generating Cont’
4. Used the coding book to code short narrative responses
   into the SPSS data file.
      Note: A response may include multiple indicators. In this way,
      qualitative data of students’ short narrative responses are
      converted into quantitative data and are ready for quantitative
      analysis.
5. Re-read and recoded responses to make sure no new
   indicators emerged.
6. Used SPSS to generate frequencies of the indicators,
   themes, and factors mentioned by survey respondents.


                                                                        21
Qualitative Results
 Using this grounded theory approach, seven factors
 that influence students’ time to degree were generated
 from respondents’ narrative responses.




                                                          22
Factors Influencing Time to Degree
1.   Curriculum Length
2.   Academic Planning and Choice
3.   Student Accountability
4.   Personal Experience and Preference
5.   Finance
6.   Facilitators
7.   Procedures and Scheduling



                                          23
Factors Defined
1.   Curriculum Length: Student choices that extended program
     length, such as adding a second major, or the actual requirements of
     certain programs.
2.   Academic Planning and Choice: Changing or deciding on
     programs and majors, as well as planning out courses and
     requirements towards graduation.
3.   Student Accountability: Course load, student motivation, student
     accountability, choosing to take courses elsewhere.
4.   Personal Experience and Preference: Individual or situational
     differences of students, such as depression or health-related issues.
5.   Finance: Aspects relating to funding education, such as having to
     work during school to pay for their education.
6.   Facilitators: Advisors, staff, and faculty.
7.   Procedures and Scheduling: Class scheduling and availability,
     graduation and program requirements, other administrative-type
     issues.
                                                                             24
#1 Curriculum Length
Definition: Student choices that extended program length, such
as adding a second major, or the actual requirements of certain
programs.

Verbatim Quote: “Though I graduated a year later than I
originally expected, I was able to spend a semester in the
Czech Republic, a semester in Italy, a month in China, AND
add a second major before graduating. Even though student
debt is going to suck, I'd say the extra year was worth it!”

Coding Procedures:
    Study abroad  Curriculum Length
    Add second major  Curriculum Length

                                                                  25
#2 Academic Planning & Choice
Changing or deciding on programs and majors, as well as
planning out courses and requirements towards
graduation.

“Changed my major from art education to just an art major”


   Deciding major  Academic Planning & Choice




                                                             26
#3 Student Accountability
Course load, student motivation, student accountability,
choosing to take courses elsewhere.

“I worked hard in order to graduate early from my program.”


   Student accountability  Student Accountability




                                                              27
#4 Personal Experience & Preference
Individual or situational differences of students, such as
depression or health-related issues.

“I was forced to take a semester off due to a medical illness,
and was poorly advised on classes I should take pretty much
the entire time I've been here.”


    Health issues  Personal Experience & Preference
    Advisor  Facilitator



                                                                 28
#5 Finance
Aspects relating to funding education, such as having to
work during school to pay for their education.

“Working full time allowed me to only go to school part time,
otherwise I would have finished sooner.”


    Work  Finance




                                                                29
#6 Facilitators
Advisors, staff, and faculty.

“The liberal arts and sciences advisors told me the wrong
classes to take my first semester for my major, but the math
department helped me to figure out a solution so I could
graduate on time.”


    Advisor  Facilitator
    Faculty  Facilitator



                                                               30
#7 Procedures & Scheduling
Class scheduling and availability, graduation and program
requirements, other administrative-type issues.

“Being willing to take on challenging course loads was helpful in
completing my degree in 4 years. It was difficult at times because
certain classes were only offered at one time and not every
semester.”


Course load  Student Accountability
Class schedules  Procedures & Scheduling
Student accountability  Student Accountability

                                                                     31
Frequency Analysis of Factors
                Factor Name                  Percent
Facilitators                                  47.3%
Academic Planning and Choice                  43.0%
Student Accountability                        25.8%
Registration Processes & Course Scheduling    24.7%
Curriculum Length                             23.7%
Finance                                       7.5%
Personal Experience and Preference            7.5%

                                                       32
Recommendation #1
 Importance of Advising
  Communicate and reiterate to all stakeholders
  Positive AND negative effects
 Advisor Training and Resources
  Additional or more extensive resources
  Professional development
  Share best practices


                                                   33
Recommendation #2
 Empowering Student Decision-Making
  Provide options and accurate information
  Allow students to make their own decision




                                               34
Recommendation #3
 Student Accountability and Attitudes
   Student motivation and accountability
   It’s an educational process




                                            35
Recommendation #4
 Process Improvements
  Procedures and scheduling
  Focus on institutional (directly controllable)
   factors




                                                    36
Recommendation #5
 Review, Explore, and Reflect on Existing
 Data
   Review open ended results from Senior Exit
    Survey
   Mine other data sources
   Continue research using quantitative and
    qualitative methodologies



                                                 37
Limitations
 In general, the limitations of this study are not any
  different than other similar studies

 Question wording made qualitative analysis difficult


 Sample from one institution at one point in time




                                                          38
Future Considerations/Directions
 Online programs/classes that are flexible

 Summer/winter sessions
    Examine enrollment numbers and courses offered


 Seek institutional buy-in on proposed graduation rate goals

 Future research at Edgewood on time to degree
    Look at that subgroup who graduated early
    Replicate on next years Senior Exit Survey



                                                            39
Discussion
1.   What research have you done related to this topic at your
     own institution?

2.   Are the findings similar? Different?

3.   What has your institution done to decrease time to
     degree?

4. What has worked for you in terms of gaining institutional
     buy-in with time to degree and graduation rate
     initiatives/goals?

                                                                 40
Thank you for your time!
 Questions?


 Comments?


 Suggestions?


                           41
References
Astin, A.W. & Oseguera, L. (2005). Degree Attainment Rates at American Colleges
         and Universities. Revised Edition. Los Angeles: Higher Education
         Research Institute, UCLA.
Burns, K. (2010). At issue: community college student success variables: a review
         of the literature. The Community College Enterprise, 16(2), 33-61.
Center for Business and Economic Research, Miller College of Business,       Ball
         State University (2011). An exploratory analysis: Educational
         attainment in Indiana. Retrieved from
http://cardinalscholar.bsu.edu/bitstream/123456789/194831/1/EdAttainment-
1.pdf.
Desjardins, S.L., Kim, D., & Rzonca, C.S. (2003). A nested analysis of factors
         affecting bachelor’s degree completion. Journal of College Student
         Retention, 4 (4), 407-435.
Knight, W. E. (1994, May). Why the five-year (or longer) bachelors degree? An
         exploratory study of time to degree attainment. In 34th Annual Forum of
         the Association for Institutional Research, New Orleans, LA.
Knight, W. E. (2002). Toward a comprehensive model of influences upon time to
         bachelor’s degree attainment. AIR Professional File, 85, 1-15.

                                                                                42
References Cont’
Knight, W. E. (2004). Time to bachelor’s degree attainment: An application of
          descriptive, bivariate, and multiple regression techniques. IR
          Applications: Using Advanced Tools, Techniques, and Methodologies, 2, 1-
          15.
Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006, July).
          What matters to student success: A review of the literature. In
          Commissioned Report for the National Symposium on Postsecondary
          Student Success: Spearheading a Dialog on Student Success.
Office of Institutional Assessment and Research. (2011). Edgewood College
          Retention and Graduation Report. Madison, WI: Edgewood College.
Owens, D., Lacey, K., Glinda, R. & Holbert-Quince, J. (2010). First-generation
          African American male college students: Implications for career
          counselors. The Career Development Quarterly, 58, 291-300.
Perkins, G., Pitter, G.W., Howat, C., & Whitfield, D. (1999). Relationship of
          financial aid, work and college performance. In 39th Annual Forum of the
          Association for Institutional Research, Seattle, WA.
Taylor, A.L. & Doane, D.J. (2012). Motivations to graduate in less than four years
          and summer session attendance. Summer Academe, 4, 7-30.

                                                                                   43

Contenu connexe

Tendances

Rsc 325 patho syllabus summer 2012(1)
Rsc 325 patho syllabus summer 2012(1)Rsc 325 patho syllabus summer 2012(1)
Rsc 325 patho syllabus summer 2012(1)
xstefanx182
 
Presentation22nd june
Presentation22nd junePresentation22nd june
Presentation22nd june
viscabarca
 
Research proposal sample
Research proposal sampleResearch proposal sample
Research proposal sample
Vanessa Cuesta
 
Maximizing student assessment systems cronin
Maximizing student assessment systems   croninMaximizing student assessment systems   cronin
Maximizing student assessment systems cronin
NWEA
 

Tendances (20)

Rsc 325 patho syllabus summer 2012(1)
Rsc 325 patho syllabus summer 2012(1)Rsc 325 patho syllabus summer 2012(1)
Rsc 325 patho syllabus summer 2012(1)
 
V2 canons park aggregating november 2016
V2 canons park aggregating november 2016V2 canons park aggregating november 2016
V2 canons park aggregating november 2016
 
Evaluation Methods
Evaluation MethodsEvaluation Methods
Evaluation Methods
 
Presentation22nd june
Presentation22nd junePresentation22nd june
Presentation22nd june
 
Research proposal sample
Research proposal sampleResearch proposal sample
Research proposal sample
 
Rough ready and rapid guide to TESTA
Rough ready and rapid guide to TESTARough ready and rapid guide to TESTA
Rough ready and rapid guide to TESTA
 
Maximizing student assessment systems cronin
Maximizing student assessment systems   croninMaximizing student assessment systems   cronin
Maximizing student assessment systems cronin
 
V3 canons park leading november 2016
V3 canons park leading november 2016V3 canons park leading november 2016
V3 canons park leading november 2016
 
Development of educational tools that enable large-scale ethical empirical re...
Development of educational tools that enable large-scale ethical empirical re...Development of educational tools that enable large-scale ethical empirical re...
Development of educational tools that enable large-scale ethical empirical re...
 
Using Assessment Data for Educator and Student Growth
Using Assessment Data for Educator and Student GrowthUsing Assessment Data for Educator and Student Growth
Using Assessment Data for Educator and Student Growth
 
Pitchfest
PitchfestPitchfest
Pitchfest
 
Effectiveness of admission procedures among master of ot programs
Effectiveness of admission procedures among master of ot programs Effectiveness of admission procedures among master of ot programs
Effectiveness of admission procedures among master of ot programs
 
What is Evaluation
What is EvaluationWhat is Evaluation
What is Evaluation
 
Exams evaluate students. Who’s evaluating exams? Data-Informed Exam Design
Exams evaluate students. Who’s evaluating exams? Data-Informed Exam DesignExams evaluate students. Who’s evaluating exams? Data-Informed Exam Design
Exams evaluate students. Who’s evaluating exams? Data-Informed Exam Design
 
Effectively using predictors of success for student funding
Effectively using predictors of success for student fundingEffectively using predictors of success for student funding
Effectively using predictors of success for student funding
 
Threats and Analysis
Threats and AnalysisThreats and Analysis
Threats and Analysis
 
Educación primaria: el impacto a largo plazo del tamaño del aula
Educación primaria: el impacto a largo plazo del tamaño del aulaEducación primaria: el impacto a largo plazo del tamaño del aula
Educación primaria: el impacto a largo plazo del tamaño del aula
 
NYSCOSS Conference Superintendents Training on Assessment 9 14
NYSCOSS Conference Superintendents Training on Assessment 9 14NYSCOSS Conference Superintendents Training on Assessment 9 14
NYSCOSS Conference Superintendents Training on Assessment 9 14
 
Introduction to NGSS - Next Generation Science Standards
Introduction to NGSS - Next Generation Science StandardsIntroduction to NGSS - Next Generation Science Standards
Introduction to NGSS - Next Generation Science Standards
 
Q uestionnaire design
Q uestionnaire design Q uestionnaire design
Q uestionnaire design
 

En vedette

Questionnaire mba project
Questionnaire  mba  projectQuestionnaire  mba  project
Questionnaire mba project
Aashi Yadav
 

En vedette (9)

Ch1 foundation of human skills
Ch1 foundation of human skills Ch1 foundation of human skills
Ch1 foundation of human skills
 
Overview of ethics and information technology
Overview of ethics and information technologyOverview of ethics and information technology
Overview of ethics and information technology
 
Academic performence and factors affecting it full 1
Academic  performence and factors affecting it full 1Academic  performence and factors affecting it full 1
Academic performence and factors affecting it full 1
 
Unethical Behaviour
Unethical BehaviourUnethical Behaviour
Unethical Behaviour
 
Chapter 1 powerpoint
Chapter 1 powerpointChapter 1 powerpoint
Chapter 1 powerpoint
 
“Individual difference and educational implications- thinking, intelligence a...
“Individual difference and educational implications- thinking, intelligence a...“Individual difference and educational implications- thinking, intelligence a...
“Individual difference and educational implications- thinking, intelligence a...
 
Factors affecting the academic performance of college students (1)
Factors affecting the academic performance of college students (1)Factors affecting the academic performance of college students (1)
Factors affecting the academic performance of college students (1)
 
Questionnaire
QuestionnaireQuestionnaire
Questionnaire
 
Questionnaire mba project
Questionnaire  mba  projectQuestionnaire  mba  project
Questionnaire mba project
 

Similaire à A Mixed Methods Approach to Examine Factors Affecting College Students' Time to Degree

INET Results-Based Accountability Workshop: May 2, 2014
INET Results-Based Accountability Workshop: May 2, 2014INET Results-Based Accountability Workshop: May 2, 2014
INET Results-Based Accountability Workshop: May 2, 2014
Navicate
 
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
johnroseadams1
 
Measuring What Matters: Noncognitive Skills - GRIT
Measuring What Matters: Noncognitive Skills - GRITMeasuring What Matters: Noncognitive Skills - GRIT
Measuring What Matters: Noncognitive Skills - GRIT
SmarterServices Owen
 
SBR Parent Presentation Fall 2014
SBR Parent Presentation Fall 2014SBR Parent Presentation Fall 2014
SBR Parent Presentation Fall 2014
Karl Poulin
 
Elearning Summit 2015 - BoSCO - Minneapolis
Elearning Summit 2015 - BoSCO - MinneapolisElearning Summit 2015 - BoSCO - Minneapolis
Elearning Summit 2015 - BoSCO - Minneapolis
University of Minnesota Rochester
 

Similaire à A Mixed Methods Approach to Examine Factors Affecting College Students' Time to Degree (20)

College Success Academy: Launching a New Program with Research and Evaluation...
College Success Academy: Launching a New Program with Research and Evaluation...College Success Academy: Launching a New Program with Research and Evaluation...
College Success Academy: Launching a New Program with Research and Evaluation...
 
Non-Cognitive Testing
Non-Cognitive TestingNon-Cognitive Testing
Non-Cognitive Testing
 
NB Provincial Assessment Program
NB Provincial Assessment ProgramNB Provincial Assessment Program
NB Provincial Assessment Program
 
Introducing the A-GAME: Measuring Quality
Introducing the A-GAME: Measuring QualityIntroducing the A-GAME: Measuring Quality
Introducing the A-GAME: Measuring Quality
 
FIPSE Findings
FIPSE FindingsFIPSE Findings
FIPSE Findings
 
FIPSE Findings
FIPSE FindingsFIPSE Findings
FIPSE Findings
 
spec-item1-Slides.pptx
spec-item1-Slides.pptxspec-item1-Slides.pptx
spec-item1-Slides.pptx
 
Learner Engagement, QM Standards and the Blended Course
Learner Engagement, QM Standards and the Blended CourseLearner Engagement, QM Standards and the Blended Course
Learner Engagement, QM Standards and the Blended Course
 
INET Results-Based Accountability Workshop: May 2, 2014
INET Results-Based Accountability Workshop: May 2, 2014INET Results-Based Accountability Workshop: May 2, 2014
INET Results-Based Accountability Workshop: May 2, 2014
 
Calibrating Assessment Literacy Through Benchmarking Tasks
  Calibrating Assessment Literacy Through Benchmarking Tasks  Calibrating Assessment Literacy Through Benchmarking Tasks
Calibrating Assessment Literacy Through Benchmarking Tasks
 
Personnel1
Personnel1Personnel1
Personnel1
 
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
Stephanie McKendry 'The conflicting priorities of blended and inclusive learn...
 
SLO & IAGDs
SLO & IAGDsSLO & IAGDs
SLO & IAGDs
 
Tech-Driven Education Reform: A Model for Simultaneously Improving Student Re...
Tech-Driven Education Reform: A Model for Simultaneously Improving Student Re...Tech-Driven Education Reform: A Model for Simultaneously Improving Student Re...
Tech-Driven Education Reform: A Model for Simultaneously Improving Student Re...
 
Measuring What Matters: Noncognitive Skills - GRIT
Measuring What Matters: Noncognitive Skills - GRITMeasuring What Matters: Noncognitive Skills - GRIT
Measuring What Matters: Noncognitive Skills - GRIT
 
SBR Parent Presentation Fall 2014
SBR Parent Presentation Fall 2014SBR Parent Presentation Fall 2014
SBR Parent Presentation Fall 2014
 
The Role of Non-Cognitive Indicators in Predictive and Proactive Analytics: T...
The Role of Non-Cognitive Indicators in Predictive and Proactive Analytics: T...The Role of Non-Cognitive Indicators in Predictive and Proactive Analytics: T...
The Role of Non-Cognitive Indicators in Predictive and Proactive Analytics: T...
 
Elearning Summit 2015 - BoSCO - Minneapolis
Elearning Summit 2015 - BoSCO - MinneapolisElearning Summit 2015 - BoSCO - Minneapolis
Elearning Summit 2015 - BoSCO - Minneapolis
 
Global Health Informatics: Novel Approaches & Applications: Jacqueline Woltin...
Global Health Informatics: Novel Approaches & Applications: Jacqueline Woltin...Global Health Informatics: Novel Approaches & Applications: Jacqueline Woltin...
Global Health Informatics: Novel Approaches & Applications: Jacqueline Woltin...
 
Supervision Skills on Postgraduate Students
Supervision Skills on Postgraduate StudentsSupervision Skills on Postgraduate Students
Supervision Skills on Postgraduate Students
 

A Mixed Methods Approach to Examine Factors Affecting College Students' Time to Degree

  • 1. Presenters: Pat Estes, Assessment Analyst, PEstes@edgewood.edu Liang Hou, Research Intern, LHou@edgewood.edu Edgewood College Office of Institutional Assessment and Research
  • 2. This research was conducted under the supervision of Dr. Yang Zhang, previous Director of Institutional Research at Edgewood College. She can be contacted at: Dr. Yang Zhang Director of Institutional Research Manoa Institutional Research Office Office of the Vice Chancellor for Academic Affairs University of Hawaii at Manoa yz6@hawaii.edu 2
  • 3. Overview 1. Background 2. Literature review 3. Purpose of study 4. Methodology 5. Data analysis and results 6. Recommendations and conclusions 7. Discussion 3
  • 4. Background – Edgewood College  Founded in 1881 by the Dominican Sisters of Sinsinawa  Located in Madison, WI  Total enrollment is around 2,700, with 2,000 undergraduates and 700 master and Ed.D. students  Majors: Liberal Arts and Professional degree programs (i.e., Education, business, nursing)  Edgewood College is accredited by Higher Learning Commission since 1958 4
  • 5. 10 Year Average Edgewood College (EC) Graduation Rates  4-year graduation rate – 29%  2012: 36%  5-year graduation rate – 48%  2012: 53%  6-year graduation rate – 51%  2012: 53% 5
  • 6. 100.0% EC vs. HLC Peers = 4 Yr Grad 90.0% 80.0% 2010 4-year Graduation rate 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% Retrieved from College Results Online 6
  • 7. Recommended Goals  4-year graduation rate – 50% (+21%)  5-year graduation rate – 62% (+14%)  6-year graduation rate – 66% (+15%) 7
  • 8. Problem Statement  College tuition  Federal and state funding  Accountability  Pressure to improve graduation rates/time to degree 8
  • 9. Importance of Graduation Rates and Time to Degree  Living out our mission & our promise  Graduation rate – common measure of success  Less time = less debt + more income  Happy alumni! 9
  • 10. Literature Review Student Characteristics Institutional Characteristics Academic factors (e.g., academic Institutional effectiveness (i.e., performance, Choice of major/field of supportive academic and social study, changing majors, taking environments) remedial courses, study abroad) Pre-college factors (e.g., student scores Institutional type (e.g., 4-year, non- on college-admission tests SAT and profit, religious) ACT, HSGPA, AP credits) Family background (e.g., low SES, first Percentage of low-income students on generation) campus Personal life (e.g., working, living off- Institutional size and college selectivity campus, marriage) Demographics (e.g., gender and race) Financial aid and cost of tuition For an extensive literature review, refer to Desjardins, Kim, & Rzonca (2003); Knight (1994, 2002, 2004); Burns (2010), & Kuh, Kinzie, & Buckley (2006) 10
  • 11. So What Is the Solution? 11
  • 12. Purpose of Current Research  Studies that examine factors impacting college students’ time to degree from the students’ perspective are limited  Typically relied on quantitative methodology  Our study deploys quantitative AND qualitative methodologies 12
  • 13. Research Questions 1. Do students graduate within a timeframe they are satisfied with? 2. What factors help or hinder timely graduation? 3. What steps can be taken to decrease time to degree? 13
  • 14. Methodology  Data collected Spring 2012  Small mid-west liberal arts college  Online survey distributed via Qualtrics  All senior students expecting to graduate in Spring or Summer 2012  62% response rate (162 / 263 students) 14
  • 15. When you began at Edgewood, within what timeframe did you expect to graduate? “Within 1 year” through “More than 6 years” How long did it actually take you to graduate from Edgewood College since you began here? “Within 1 year” through “More than 6 years” How satisfied are you with the length of time it took you to complete your degree? “Very Satisfied” through “Very Dissatisfied” (5-point Likert scale) Please comment on those factors that helped you to graduate on time and/or the barriers you experienced to a timely graduation. Open-ended 15
  • 16. Quantitative Analysis - Gap Analysis  8% graduated one or two years earlier than expected  72% graduated within expected time frame  15% took one year longer than expected  4% took two years longer than expected  Only 1% graduated in three years or longer than expected 16
  • 17. Quantitative Analysis -Satisfaction  All Respondents  83% combined satisfaction rate  46% “very satisfied” and 37% “satisfied”  Mean = 4.22 (on 5-point scale)  Started at Edgewood  M = 4.26  Transfer  M = 4.18  Compared to 80% of students who graduated in their expected time frame, a higher satisfaction rate of 83% was found in students’ responses. 17
  • 18. Gap * Satisfaction Crosstabulation Satisfaction Very Very Satisfied Satisfied Neutral Dissatisfied Dissatisfied Total % of -2 Total 0% 1% 0% 0% 0% 1% % of -1 Total 6% 1% 0% 0% 0% 7% % of 0 Total 41% 26% 5% 1% 0% 72% Gap % of 1 Total 0% 9% 5% 2% 0% 15% % of 2 Total 0% 1% 1% 2% 1% 4% % of 3 Total 0% 0% 0% 1% 1% 1% % of Total Total 46% 37% 10% 5% 1% 100% 18
  • 19. Qualitative Analysis Procedure  Grounded theory  Generate or discover a theory (Glaser and Strauss, 1967)  Grounded theory defined as:  The discovery of theory from data systematically obtained from social research’ (Glaser and Strauss 1967: 2) 19
  • 20. Data Coding Procedures 1. Preview all responses and record emerging indicators. Continued to add new indicators, until eventually the indicators become saturated and no new ones could be formed. 2. Compared indicators. Consistent and similar ones were combined into themes. Similar themes were used to form factors. Themes that could not be combined with other themes were considered independent factors. 3. Built a coding book that includes indicators, themes, and factors. Assigned a code to each indicator. 20
  • 21. Data Coding and Factor Generating Cont’ 4. Used the coding book to code short narrative responses into the SPSS data file. Note: A response may include multiple indicators. In this way, qualitative data of students’ short narrative responses are converted into quantitative data and are ready for quantitative analysis. 5. Re-read and recoded responses to make sure no new indicators emerged. 6. Used SPSS to generate frequencies of the indicators, themes, and factors mentioned by survey respondents. 21
  • 22. Qualitative Results  Using this grounded theory approach, seven factors that influence students’ time to degree were generated from respondents’ narrative responses. 22
  • 23. Factors Influencing Time to Degree 1. Curriculum Length 2. Academic Planning and Choice 3. Student Accountability 4. Personal Experience and Preference 5. Finance 6. Facilitators 7. Procedures and Scheduling 23
  • 24. Factors Defined 1. Curriculum Length: Student choices that extended program length, such as adding a second major, or the actual requirements of certain programs. 2. Academic Planning and Choice: Changing or deciding on programs and majors, as well as planning out courses and requirements towards graduation. 3. Student Accountability: Course load, student motivation, student accountability, choosing to take courses elsewhere. 4. Personal Experience and Preference: Individual or situational differences of students, such as depression or health-related issues. 5. Finance: Aspects relating to funding education, such as having to work during school to pay for their education. 6. Facilitators: Advisors, staff, and faculty. 7. Procedures and Scheduling: Class scheduling and availability, graduation and program requirements, other administrative-type issues. 24
  • 25. #1 Curriculum Length Definition: Student choices that extended program length, such as adding a second major, or the actual requirements of certain programs. Verbatim Quote: “Though I graduated a year later than I originally expected, I was able to spend a semester in the Czech Republic, a semester in Italy, a month in China, AND add a second major before graduating. Even though student debt is going to suck, I'd say the extra year was worth it!” Coding Procedures:  Study abroad  Curriculum Length  Add second major  Curriculum Length 25
  • 26. #2 Academic Planning & Choice Changing or deciding on programs and majors, as well as planning out courses and requirements towards graduation. “Changed my major from art education to just an art major”  Deciding major  Academic Planning & Choice 26
  • 27. #3 Student Accountability Course load, student motivation, student accountability, choosing to take courses elsewhere. “I worked hard in order to graduate early from my program.”  Student accountability  Student Accountability 27
  • 28. #4 Personal Experience & Preference Individual or situational differences of students, such as depression or health-related issues. “I was forced to take a semester off due to a medical illness, and was poorly advised on classes I should take pretty much the entire time I've been here.”  Health issues  Personal Experience & Preference  Advisor  Facilitator 28
  • 29. #5 Finance Aspects relating to funding education, such as having to work during school to pay for their education. “Working full time allowed me to only go to school part time, otherwise I would have finished sooner.”  Work  Finance 29
  • 30. #6 Facilitators Advisors, staff, and faculty. “The liberal arts and sciences advisors told me the wrong classes to take my first semester for my major, but the math department helped me to figure out a solution so I could graduate on time.”  Advisor  Facilitator  Faculty  Facilitator 30
  • 31. #7 Procedures & Scheduling Class scheduling and availability, graduation and program requirements, other administrative-type issues. “Being willing to take on challenging course loads was helpful in completing my degree in 4 years. It was difficult at times because certain classes were only offered at one time and not every semester.” Course load  Student Accountability Class schedules  Procedures & Scheduling Student accountability  Student Accountability 31
  • 32. Frequency Analysis of Factors Factor Name Percent Facilitators 47.3% Academic Planning and Choice 43.0% Student Accountability 25.8% Registration Processes & Course Scheduling 24.7% Curriculum Length 23.7% Finance 7.5% Personal Experience and Preference 7.5% 32
  • 33. Recommendation #1  Importance of Advising  Communicate and reiterate to all stakeholders  Positive AND negative effects  Advisor Training and Resources  Additional or more extensive resources  Professional development  Share best practices 33
  • 34. Recommendation #2  Empowering Student Decision-Making  Provide options and accurate information  Allow students to make their own decision 34
  • 35. Recommendation #3  Student Accountability and Attitudes  Student motivation and accountability  It’s an educational process 35
  • 36. Recommendation #4  Process Improvements  Procedures and scheduling  Focus on institutional (directly controllable) factors 36
  • 37. Recommendation #5  Review, Explore, and Reflect on Existing Data  Review open ended results from Senior Exit Survey  Mine other data sources  Continue research using quantitative and qualitative methodologies 37
  • 38. Limitations  In general, the limitations of this study are not any different than other similar studies  Question wording made qualitative analysis difficult  Sample from one institution at one point in time 38
  • 39. Future Considerations/Directions  Online programs/classes that are flexible  Summer/winter sessions  Examine enrollment numbers and courses offered  Seek institutional buy-in on proposed graduation rate goals  Future research at Edgewood on time to degree  Look at that subgroup who graduated early  Replicate on next years Senior Exit Survey 39
  • 40. Discussion 1. What research have you done related to this topic at your own institution? 2. Are the findings similar? Different? 3. What has your institution done to decrease time to degree? 4. What has worked for you in terms of gaining institutional buy-in with time to degree and graduation rate initiatives/goals? 40
  • 41. Thank you for your time!  Questions?  Comments?  Suggestions? 41
  • 42. References Astin, A.W. & Oseguera, L. (2005). Degree Attainment Rates at American Colleges and Universities. Revised Edition. Los Angeles: Higher Education Research Institute, UCLA. Burns, K. (2010). At issue: community college student success variables: a review of the literature. The Community College Enterprise, 16(2), 33-61. Center for Business and Economic Research, Miller College of Business, Ball State University (2011). An exploratory analysis: Educational attainment in Indiana. Retrieved from http://cardinalscholar.bsu.edu/bitstream/123456789/194831/1/EdAttainment- 1.pdf. Desjardins, S.L., Kim, D., & Rzonca, C.S. (2003). A nested analysis of factors affecting bachelor’s degree completion. Journal of College Student Retention, 4 (4), 407-435. Knight, W. E. (1994, May). Why the five-year (or longer) bachelors degree? An exploratory study of time to degree attainment. In 34th Annual Forum of the Association for Institutional Research, New Orleans, LA. Knight, W. E. (2002). Toward a comprehensive model of influences upon time to bachelor’s degree attainment. AIR Professional File, 85, 1-15. 42
  • 43. References Cont’ Knight, W. E. (2004). Time to bachelor’s degree attainment: An application of descriptive, bivariate, and multiple regression techniques. IR Applications: Using Advanced Tools, Techniques, and Methodologies, 2, 1- 15. Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006, July). What matters to student success: A review of the literature. In Commissioned Report for the National Symposium on Postsecondary Student Success: Spearheading a Dialog on Student Success. Office of Institutional Assessment and Research. (2011). Edgewood College Retention and Graduation Report. Madison, WI: Edgewood College. Owens, D., Lacey, K., Glinda, R. & Holbert-Quince, J. (2010). First-generation African American male college students: Implications for career counselors. The Career Development Quarterly, 58, 291-300. Perkins, G., Pitter, G.W., Howat, C., & Whitfield, D. (1999). Relationship of financial aid, work and college performance. In 39th Annual Forum of the Association for Institutional Research, Seattle, WA. Taylor, A.L. & Doane, D.J. (2012). Motivations to graduate in less than four years and summer session attendance. Summer Academe, 4, 7-30. 43