characteristics, graduation rates, enrollment patterns and

January 9, 2018 | Author: Anonymous | Category: Math, Statistics And Probability, Statistics
Share Embed Donate


Short Description

Download characteristics, graduation rates, enrollment patterns and...

Description

CHARACTERISTICS, ENROLLMENT PATTERNS, GRADUATION RATES AND SERVICE USE OF COLLEGE STUDENTS WITH ADHD/LD

Theresa L. Maitland, PhD The Learning Center’s ADHD/LD Services UNC Chapel Hill IRB Approved Study #07-1097 [email protected]

BACKGROUND  Brief history  IRB reviewed study    

Did not constitute human subject research Master set of ADHD/LD students with disability data Obtained high school and UNC records from Office of Research Created de-identified data set

 Two private funds supported Erica Richman, Ph.D to serve as research coordinator  Many thanks to our collaborators & contributors:     

Research Coordinator: Erica Richman Ph.D. Database designer: Steve Robbillard Database consultants: Billie Shambley, Angela Coley and Geeta Menon Leon Hamlet, Registrar’s Office Dr. Lynn Williford, Assistant Provost; Weiguo Jiang, Data Analyst from the Office of Institutional Research: and Dr. Lawrence Rosenfeld from the IRB office were instrumental in the study’s completion.

VERY LITTLE IS KNOWN ABOUT THE COLLEGE EXPERIENCES OF STUDENTS WITH ADHD/LD LD/ADHD College Students  May have increased rates of academic probation  (Heiligenstein et al., 1999)

 May have lower GPAs-nearly 1 .0 lower  ( Blasé

et al., 2009; Frazier et al., 2007)

 May have higher graduation rates (and persistence rates)  (Canto et al., 2005;Huber, 2009; Vogel & Adelman 1992)

 May have lower overall retention & graduation rates: 11% -50% lower  Horn et al., 1999; Greg, 2009; Greenbaum et al., 1995;Lee et al. (2008); Murray et al., 2000)

 May have the same graduation rates by may take longer to graduate  (Vogel & Adelman 1990, 1992; Jorgeson et al., 2003, Wessel et al., )

OUR VARIABLES Disability Related  Diagnosis (LD, ADHD, Both)  Amount of ser vice use

Demographics  Back ground (Ethnicity, race and countr y of origin)  Gender  1 st time Freshmen/Transfer

High School Variables  SAT Scores, GPA , Percentile

University Variables Sub-populations (1 st generation, Covenant Scholar, Athlete) Major at Graduation: STEM ver sus Humanities/Social Sciences Cumulative GPA Semesters Enrolled Enrollment Patterns (# of withdrawals, ineligibilities, semesters on probation, academic underloads)  Graduated/Not Graduated     

ADHD/LD SAMPLE Sample size: n=1938 (1953-2010) n=921 (2002-2010; for comparison analyses) Sample sizes may also vary based on particular analysis

Undergraduates All cleared for services 1976-Sept. 2010 (median of 2001)

ADHD/LD SAMPLE: DIAGNOSES Missing 5% N=91

Both 26%

ADHD 37%

N=508

N=722

LD 32% Total n=1938

N=617

RANDOM SAMPLE  N=8994  All Undergraduate Students  ADHD/LD removed  2002-2010 Cohorts

RESEARCH QUESTIONS  Research Question 1 : Do students in the ADHD/LD Sample have different enrollment patterns than students in the Random Sample  Research Question 2: Do the grade point averages of the students in the ADHD/LD sample differ from students in the Random Sample?  Research Question 3: Are there differences in the graduation rates between students in the ADHD/LD sample and students in the Random Sample?  Research Question 4: Within the ADHD/LD Sample does diagnosis of ADHD, LD or both ADHD/LD impact graduation rate?  Research Question 5: Do graduation rates and GPAs of students with ADHD/LD differ based on the frequency of sessions with a Learning Specialist?

STATISTICAL ANALYSES

 All descriptive and comparative analyses were performed using StataIC 12 (StataCorp, 2011).  Descriptive statistics, including measures of central tendency, cross-tabulations, and chi-squares were used to compare means and characterize the sample with respect to student demographics, high school, and academic success variables.  Linear regression, logistic regression, and multi -nomial logistic regression models were employed to examine the relationships among service use, student characteristics, diagnosis, and academic success

COMPARISONS: DEMOGRAPHICS & CHARACTERISTICS

GENDER COMPARISONS:2002-2010 70% 59%

60% 50%

56% 44% 41%

40% 30% 20% 10% 0%

n=400

n=509

n=5338

ADHD/LD

n=3656 RS

Females

Males

BACKGROUND COMPARISONS: 2002-2010 ADHD/LD
View more...

Comments

Copyright � 2017 NANOPDF Inc.
SUPPORT NANOPDF