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Supplemental
Instruction (SI)
Review of Research Concerning the Effectiveness
of SI from The University of Missouri-Kansas City and Other
Institutions from Across the United States
David Arendale, University
of Missouri, Kansas City
Goals, Purpose and Audience for Supplemental
Instruction (SI)
The Supplemental Instruction (SI) model of
student academic assistance helps students in historically
difficult classes master course content while they develop
and integrate learning and study strategies. Goals of SI
include:
- Improve student grades in targeted historically
difficult courses
- Reduce the attrition rate within those
courses
- Increase the eventual graduation rates
of students.
Some educational researchers (Dimon, 1988;
Keimig, 1983) have concluded that it is difficult to teach
transferable study skills in isolation from content material,
and SI offers an alternative. Experts in higher education
have recognized that there is a need for increased emphasis
on student retention, particularly for first-generation
and economically-disadvantaged students. American society
cannot afford the economic and social cost of college drop
outs who are not able to fulfill their potential.
All students in a targeted course are urged
to attend SI sessions, and students with varying ability
levels and ethnicities participate. There is no remedial
stigma attached to SI since historically difficult courses
rather than high risk students are targeted.
Method of SI Operation
SI is attached to specific historically difficult
courses. There are four key persons involved with SI. The
first is the SI supervisor, a trained professional
on the SI staff. The SI supervisor is responsible for identifying
the targeted courses, gaining faculty support, selecting
and training SI leaders, and monitoring and evaluating the
program. Once the historically difficult courses have been
identified, the SI supervisor contacts the faculty member
concerning SI for their course. The second key person for
SI is the faculty member who teaches one of the identified
historically difficult courses. SI is only offered in courses
in which the faculty member invites and supports SI. Faculty
members screen SI leaders for content competency and approve
selections. The third key person is the SI leader.
SI leaders are students or learning center staff members
who have been deemed course competent, approved by the course
instructor and trained in proactive learning and study strategies.
SI leaders attend course lectures, take notes, read all
assigned materials, and conduct three to five out-of-class
SI sessions a week. The SI leader is the "model student,"
a facilitator who helps students to integrate course content
and learning/study strategies. The fourth key member of
the SI program are the participating students. SI
can be implemented in one course each semester, or in many
more. The only difference would be an increase of one additional
SI leader for each additional course. An increase of SI
leaders would require an increase of SI supervisory personnel.
Costs for implementing the program could be covered through
various means (e.g., staff release time, work study funds,
fee waivers).
History of Supplemental Instruction
SI was created by Deanna C. Martin, Ph.D.,
at the University of Missouri-Kansas City in 1973. After
initially offering SI at the health science professional
schools, it was extended throughout the institution. After
a rigorous review process in 1981, the SI Program became
one of the few postsecondary programs to be designated by
the U.S. Department of Education as an Exemplary Educational
Program. The National Diffusion Network (NDN), the
national dissemination agency for the U.S. Department of
Education, provided
[page 1]
federal funds for dissemination of SI until
the NDN was discontinued by the U.S. government. National
and international dissemination continues. As of November
1995 faculty and staff from 614 institutions across the
nation had received training to implement their own SI program.
SI is active at 115 institutions in 12 countries (Australia,
Canada, Denmark, Egypt, Marshall Islands, Malaysia, New
Zealand, Puerto Rico, South Africa, Sweden, United Kingdom,
and West Indies).
Claims of SI Effectiveness Validated by
the U.S. Department of Education
Claim 1.
Students participating in SI within the targeted historically
difficult courses earn higher mean final course grades than
students who do not participate in SI. This is still true
when differences are analyzed, despite ethnicity and prior
academic achievement.
Claim 2.
Despite ethnicity and prior academic achievement, students
participating in SI within targeted historically difficult
courses succeed at a higher rate (withdraw at a lower rate
and receive a lower percentage of D or F final course grades)
than those who do not participate in SI.
Claim 3.
Students participating in SI persist at the institution
(reenrolling and graduating) at higher rates than students
who do not participate in SI.
Description of the SI Program
A. Goals of SI
The three closely-related goals of Supplemental
Instruction (SI) are
- Improvement of student course grades
- Reduction of attrition rates in historically
difficult college courses
- Student persistence toward graduation.
SI accomplishes these purposes by using the
process of cooperative/collaborative learning to integrate
instruction in learning and reasoning skills with a review
of the course content of selected courses.
B. Purposes and Needs Addressed by SI
Supplemental Instruction (SI) was developed
as an academic assistance program in response to a high
rate (40 percent) of student attrition. An examination of
student records revealed that attrition is highest in the
first six weeks of the first year student academic term
(Noel et. al., 1985). Furthermore, entry profiles did not
necessarily predict students who were at risk of dropping
out. Special features of the SI program are:
(1) The emphasis in SI is on high-risk
courses (those classes with a 30 percent rate of grades
of D, F, and Withdrawals) rather than high-risk students.
In this way, the program avoids the remedial stigma often
attached to traditional academic assistance programs. SI
is open to all students in the targeted course; therefore,
pre-screening of students is unnecessary. The program also
provides academic assistance during the critical first six-week
period of class. SI is often attached to high-risk courses
that serve first and second-year students; however, each
institution may develop its own definition of "high-risk
courses."
(2) The SI leader is a facilitator,
not a mini-professor. The role of the leader is to
provide structure to the study session, not to re-lecture
or introduce new material. The SI leader is a "model
student" who shows how successful students think about
and process the course content. Collaborative learning is
an important strategy since it helps students to empower
themselves rather than remaining dependent as they might
in traditional tutoring. Research suggests those tutoring
relationships do not promote transfer of needed academic
skills (Dimon, 1988; Martin, et.al, 1991a, 1991b, 1990,
1983, 1982, 1981).
(3) SI focuses on both process and
content. Therefore, learning/study strategies (e.g.,
note-taking, organization, test preparation) are integrated
into the course content during the SI sessions. SI sessions
provide immediate practice and reinforcement of these acquired
skills. SI collaborative sessions capitalize on the use
of the "teachable moment" to apply the learning
strategies to the course material.
[page 2]
Nationally, high student attrition among
first year college students continues to be a trend (American
College Testing Program, 1996). Tinto (1987, p. 1) predicted
in 1986 that of the nearly 2.8 million students who entered
higher education for the first time, more than 1.8 million
will leave without receiving a degree. Tinto, regarded by
many as the expert in student retention in post-secondary
education, has identified four significant factors in the
dropout of students (1989, p. 47). Many students felt socially
isolated on campus. Students had difficulty in adjusting
to the new environment. Students suffer from incongruence
(i.e., they were not able to link the knowledge received
from class lectures to what they already understood). The
final factor was that students had difficulty in the college
environment. The SI program can be part of a broad institutional
response to help address these four problems. The SI review
sessions provide a safe environment for students to discuss
and process the course material. Students in SI become acquainted
with each other as they interact. The SI leader facilitates
the discussion so that students can make adjustments, discuss
what they do not understand and discover strategies for
mastering difficult material.
C. Intended Audience for SI
SI targets "historically difficult"
courses rather than high-risk students. At many campuses
historically difficult courses are typically defined as
difficult, entry-level courses in which the unsuccessful
enrollment rate (the percent of grades of D, F, and Withdrawals)
is more than 30 percent. Examples of these courses at UMKC
include: General Chemistry I, Western Civilization I and
Foundations of Philosophy. Since a new SI program often
places an emphasis on entry-level courses, SI has often
served primarily first year and sophomore level students.
However, the program has been effectively implemented in
courses where students are likely to fail at the graduate
and professional school level (e.g., Medicine, Dentistry,
Pharmacy, Business, and Law) both at UMKC and other post-secondary
institutions. Despite academic discipline or grade level,
SI has been effective. This history of success with SI in
upper division courses is important because some institutions
implement SI to retain first-generation and low-income professional
school students. Each institution can adjust the definition
of "historically difficult courses" to meet their
own institutional objectives and needs. SI is effective
with students from a variety of ethnic, economic and academic
preparation backgrounds.
The following are departments within the
College of Arts and Sciences or professional and graduate
schools where SI has been offered at UMKC (Number Inside
Brackets Represents Number of Different Courses): Art [1];
Biology [3]; School of Business [3]; Chemistry [6]; School
of Dentistry [1]; Economics [2]; Foreign Language [3]; History
[6]; English [2]; School of Law [5]; Mathematics [3]; School
of Medicine [3]; School of Pharmacy [2]; Philosophy [1];
Physical Science [1]; Political Science [2]; and Sociology
[2]. SI Programs from other institutions report its use
in similar areas and use in Engineering, English-as-a-Second
Language and other disciplines.
Courses are designated as "historically
difficult" if there is a continuous record in preceding
semesters that students receive a high percentage of D or
F final course grades or withdraw from the course. The purpose
of attaching SI is to assure that the course is no longer
difficult for a large number of students. It does not, however,
lose its "historically difficult" status for services.
Once the D, F and withdrawal rate has been reduced, the
SI service is continued since nothing has been done to change
the course per se. Data suggests that when SI was not provided
for the course (e.g., cannot find a suitable SI leader),
the D, F and withdrawal rate returns to the original baseline.
The only condition under which a decision is made to discontinue
SI is when a change of course instructor results in uniformly
higher grades and, subsequently, lower levels of student
participation in SI. The campus SI supervisor continuously
monitors the impact of SI in every course where it is offered
through comparative data for students who attend SI and
those who do not attend.
Definition of "historically difficult"
course relates to a single factor: the percent of students
who complete the course successfully. It is irrelevant whether
the high rate of poor grades and withdrawals is a function
of the course content, the instructional method, the hour
the course is offered, or the population to whom it is offered.
[page 3]
The critical factor is that students have
academic difficulty. SI reduces that difficulty. There is
no claim that SI addresses every need.
It should be noted that there is substantial
evidence that attrition follows poor grades. Students tend
not to withdraw from courses or drop out of college when
grades are acceptably high. In 1990, Noel and Levitz from
the National Center for Student Retention published a research
study that suggests a strong correlation between grade point
averages and persistence in college (Table 1). SI is designed
to increase student academic performance that is generally
indicated by higher final course grades.
- Table 1: Dropouts and Persisters: Separated
by College Grade Point Average
-
(N of Students = 3,874
and N of Institutions = 43)
-
|
Grade Point Average Range |
Dropouts
(N = 1,060 Students) |
Persisters
(N of Students = 2,814) |
| GPA
Below 2.00 |
42.1%
(N = 336) |
15.8%
(N = 445) |
| GPA
2.00 to 2.49 |
18.9%
(N = 200) |
24.9%
(n = 701) |
| GPA
2.50 to 2.99 |
19.6%
(N = 208) |
26.2%
(n = 737) |
| GPA
3.00 to 4.00 |
19.1%
(N = 206) |
33.1%
(n = 931) |
The goal of the SI program is not to evaluate
the curriculum or instructional delivery of the course professor,
but to help the enrolled students perform satisfactorily
in traditionally difficult courses. Other institutions,
however, sometimes have other concerns (e.g., curriculum
reform, improved instruction). Some institutions have addressed
these issues with the introduction of SI. UMKC can provide
information about these efforts upon request. While SI does
not meet every student's needs, it is a delivery system
that is flexible enough to meet many students' needs.
D. Background, Foundation and Theoretical
Framework for SI
Research and writing in intellectual development
(Piaget, Dale, Arons, and Perry) and in college student
development and retention (Pascarella, Tinto, Astin, Light,
Noel, and Levitz) support the empirical framework upon which
SI is based. Students "who form study groups report
that they both enjoy their work more, and feel they learn
more, because of the academic discussions within these groups"
(Light, 1990, p. 18). "In every comparison of how much
students learn when they work in small groups or when they
work alone, small groups show the best outcomes" (Light,
1990, p. 10). Such experiences improve both the cognitive
and affective domains of the students (Sandberg, 1990).
Astin (1987) cited collaborative learning as an important
tool for teaching students how to work together before they
enter the work world. "The student's peer group is
the single most potent source of influence on growth and
development during the undergraduate years" (Astin,
1993, p. 398).
Keimig (1983) developed a "Hierarchy
of Learning Improvement Programs." Lowest ranked were
remedial courses that taught skills in isolation. The second
from the bottom was tutoring since it generally was used
after academic difficulty or failure had been experienced.
Using Keimig's model, programs similar to SI were ranked
near the top of the effectiveness scale since, "students'
learning needs are presented as being necessary because
of the nature of the objectives and content of the course
rather than because of student's deficiencies. Therefore,
all students have access to supplementary . . . instructional
experiences, which benefit nonremedial students as well
(Keimig, 1983, p. 23)."
[page 4]
Since there are no students who are pretested
into the SI program, and since SI is open to all students
in the targeted class, students are not subjected to a remedial
stigma. "One way of integrating all students is to
make sure our learning communities are open communities"
(Tinto, 1990, p. 22). Despite the student's previous academic
success, SI sessions are designed to benefit everyone. "Successful
institutions know that ultimately student retention is a
by-product of student success and satisfaction" (Noel,
Levitz, & Saluri, 1985, p. xiii). Rigorous evaluation
suggests that SI helps to provide that success and satisfaction.
Effective assistance is particularly important during the
first year of college when students need "front-end"
academic support (Upcraft, Gardner, & Associates, 1989).
The SI model uses collaborative learning (Johnson, et al.,
1991; Tomlinson, 1989; Whitman, 1988). SI leaders are trained
in proactive learning strategies. Based upon a recently
completed annotated bibliography of more than 800 citations
on collaborative learning (Tumey, 1993), the SI model is
well represented in the professional literature.
E. Features: How the SI Program Works
(1) Scope: Academic assistance programs exist
on almost all college campuses today. These programs may
include special counseling and academic advising, one-on-one
tutoring, remedial or developmental courses and study skills
courses. The central purpose of these programs is to support
and retain students. Sometimes, SI supplements these offerings;
in others, SI replaces one or more components of an existing
academic assistance program. In either case, the addition
of SI serves to enhance the total campus retention effort.
Besides the previous definition of a historically difficult
course (30 percent of students receive a D or F final course
grade or withdraw), at UMKC these courses would include
one or more of the following characteristics: large in size;
mostly lecture with little opportunity for question/answer;
or a "gatekeeper" course that must be passed before
the student can enter an academic degree program.
(2) Curriculum and instructional approach:
SI sessions are structured to maximize active student involvement
with the course material. The SI leader neither relectures
nor introduces new material. Instead, the SI leader guides
students in using their own class notes and reading materials
to help students clarify course concepts. Although the SI
leader provides structure and guidance, the responsibility
for processing course material remains with the students.
Although faculty members who teach courses
targeted for SI are very supportive and involved in the
program, they do not receive information regarding the names
of their students who participated. While the faculty member
is welcome to observe occasionally the SI session, they
are not encouraged to make it a regular practice. The SI
supervisor must be sensitive to the possibility that some
professors may be unintentionally biased with scoring examinations
and awarding final course grades based upon student participation
in SI.
It is important to ensure that SI not only
avoids being viewed as remedial, but also avoids being labeled
as compensatory. The incentive for students to participate
in SI is increased academic performance. At UMKC, the staff
feels it is important that students not receive extra credit
for attending SI. Not all students can attend SI due to
conflicting class or work schedules and family duties. Nor
can all afford the additional tuition expense.
(3) Learner activities: At least three or
more hours of SI are available each week per course. During
the SI session, the SI leader models application of study
strategies such as note taking, graphic organization, questioning
techniques, vocabulary acquisition, and test prediction
and preparation. Students learn to trust each other to verbalize
what they do understand and clarify what they don't understand.
At the beginning of the semester, the SI leader provides
the structure for the study session. However, as the semester
progresses, the students assume responsibility for the structure
by creating informal quizzes, visual models, note cards
or time lines, brainstorming, designing paired problem solving
activities or predicting test questions. This is a powerful
use of collaborative learning strategies.
[page 5]
(4) Learning materials: Students come to
the SI session with their course notes, textbooks, and course
handouts. The SI leader may occasionally provide a work
sheet as part of the planned structure for the session.
The SI group itself, however, becomes the primary learning
resource as students clarify and add to each other's knowledge
base through discussion and problem solving. During training,
adopters receive a SI Supervisor's Handbook. This handbook
helps the supervisor in all phases of implementing the SI
program. The SI supervisor receives a training notebook
to give to SI leaders. Additional resources include monographs
related to SI, video tapes related to SI training and management,
various survey forms, and supplemental materials.
(5) Staff activities and staffing patterns:
The SI program is administered by a professional staff member
(e.g., a faculty member, learning skill staff). SI supervisor
duties include: selecting courses targeted for SI; gaining
faculty approval and support; identifying SI leaders; training
SI leaders; evaluating the performance of the SI leader;
collecting data on the SI program; and analyzing and reporting
the results of the program. SI leaders are usually students
who have previously taken and performed well in the targeted
class. Sometimes learning center staff members, other students
or community members conduct SI. The faculty member, however,
must approve the leader as content competent. The SI supervisor
assesses the SI leader's communication skills, time restrictions
and attitude. Once selected, the SI leader must attend a
twelve hour training course; attend all sessions of the
targeted class and take notes; complete all assigned readings
for the targeted course; schedule and conduct at three or
more SI sessions a week during the semester; provide a plan
for the SI session using the strategies learned in training;
and attend regular meetings with the SI supervisor. Successful
SI sessions occur when the SI leader is able to facilitate
the group so that students are the ones who generate the
answers to questions raised during the sessions.
(6) Staff Development Activities: SI supervisors
attend a three and one-half day training workshop that cover
the areas of implementation and management, training, supervision,
evaluation, and study strategies. Four workshops are hosted
at UMKC each year. Upon request, additional workshops are
conducted in the field throughout the year by the UMKC staff
and its Certified Trainers. Follow-up technical assistance
is provided by telephone or occasional requested site visit.
The UMKC staff follow up all adopters with telephone calls
and a newsletter. Continued professional development is
available through professional development seminars hosted
by UMKC and through special interest groups dedicated to
SI that is offered at several national educational conferences
and at UMKC each year. SI leaders begin their development
with a twelve hour training workshop held by the SI supervisor
before the beginning of each semester. Continued training
is conducted at regular meetings scheduled by the SI supervisor.
Informal training occurs because of the supervisor's observation
of the SI leader conducting a session. Feedback and specific
suggestions for improvement are given to the SI leader then.
This observation by the SI supervisor is more frequent at
the beginning of the semester.
(7) Management Activities: Data are collected
from all targeted courses and form the basis of the end
of the semester report. Adopting schools are encouraged
to send these reports to UMKC regularly. If a report form
suggests unsuccessful implementation, technical assistance
from UMKC is provided via the telephone.
For the first two weeks of the semester,
SI leaders are observed by their SI supervisor during SI
sessions. After that, the SI supervisor will observe a SI
session approximately every two weeks throughout the rest
of the semester. The SI supervisor holds SI leader staff
meetings every two to three weeks to receive informal feedback,
discuss problematic areas and collect roll sheets and any
handouts that have been generated by leaders for their SI
sessions. Other campus programs across the nation report
that they meet with their SI leaders once a week, and others
meet less frequently.
At the end of Fall, 1991, the "student
assistant SI supervisor" was made an official part
of the SI model. In the past, UMKC has had only professional
staff members serving as SI supervisors. Due to the expansion
of
[page 6]
the number and types of courses covered by
SI at UMKC, the decision was made to hire a student who
had been a SI leader for several semesters to serve in a
supervisory role. This replaced the need to hire an additional
professional staff member. This practice of hiring students
to help the SI supervisor was originated by the SI Program
supervisor at the University of Louisville when the SI program
grew beyond the supervisory time available from the professional
staff. UMKC decided to test this approach at UMKC and hired
the first student assistant SI supervisor during Spring,
1991. This has been very successful. The critical qualities
needed in the student assistant is a successful record as
a SI leader themselves and their maturity to objectively
observe, supervise and manage other SI leaders. When UMKC
receives telephone calls from SI supervisors asking about
how to remedy the problem of supervising an expanding program,
the student assistant SI supervisor is suggested. This is
another mechanism for keeping the program cost effective.
Also, students seem to like the opportunity to move up to
a supervisory position after serving for several semesters
as SI leaders. This builds a career ladder within the SI
Program that may attract and retain some leaders.
F. Significance of SI Program Design as
Compared to Similar Programs
There are several key elements of SI that
differentiate it from group tutoring and other forms of
academic support: the SI program is attached to specific
courses that are historically difficult for students; participation
in the SI program is voluntary; the SI leader attends all
targeted course sessions; the SI leader is trained in specific
teaching/learning theory and techniques before the beginning
of the term; the SI program is supervised by a trained professional
staff member; the program is offered only in classes in
which the faculty member invites and supports SI; the SI
leader facilitates and encourages the group to process the
material rather than acting as an authority figure who lectures
to participants; and the program is evaluated rigorously.
A major difference between SI and other forms
of collaborative learning is the role of the SI leader.
Rather than forming study cluster groups and then releasing
them in an unsupervised environment, the SI leader is present
to keep the group on task with the content material and
to model appropriate learning strategies that the other
students can adopt and use in the present course and in
other ones in future academic terms (Dimon, 1988; Johnson,
et.al, 1991).
Potential for Replication of the SI Program
A. Settings and Participants (Development
and Evaluation Sites)
Over 300 institutions currently use SI. Table
2 summarizes the 614 initial adoptions from U.S. institutions
that either planned or implemented the SI program. An additional
115 institutions abroad have received training as well.
Table 2: SI Adoption Sites by Regions in the United
States: January 1982 to September 1995
| Regions |
82
|
83
|
84
|
85*
|
86
|
87
|
88
|
89
|
90
|
91
|
92
|
93
|
94
|
95
|
Total |
| East |
|
|
|
19 |
15 |
14 |
35 |
18 |
7 |
18 |
24 |
14 |
5 |
14 |
183 |
| Midwest |
1 |
2 |
2 |
26 |
23 |
18 |
10 |
30 |
21 |
20 |
10 |
19 |
8 |
18 |
208 |
| Pacific |
|
|
1 |
7 |
2 |
12 |
1 |
5 |
16 |
5 |
7 |
8 |
3 |
2 |
69 |
| South |
|
|
2 |
5 |
5 |
11 |
8 |
1 |
4 |
3 |
12 |
9 |
13 |
15 |
88 |
| West |
2 |
1 |
|
12 |
4 |
3 |
3 |
4 |
8 |
4 |
4 |
10 |
5 |
6 |
66 |
| Total |
3 |
3 |
5 |
69 |
49 |
58 |
57 |
58 |
56 |
50 |
59 |
60 |
34 |
55 |
614 |
- East=CD, DC, DE, MA, MD, ME, MI, JN, NY,
OH, PA, RI, VT, WV; Midwest=IA, IL, IN, KS, MI, MO, MN,
NE, MD, OK, SD, WI; Pacific=AK, CA, ID, NV, OR, WA; South=AL,
AR, FL, GA, KY, LA, MS, NC, SC, TN, VA; West=AZ, CO, MN,
MT, NM, TX, UT, WY
- * In 1983 UMKC began receiving funds from
the USDOE National Diffusion Network for national dissemination
activities.
[page 7]
More than 1,100 individuals have been trained
as SI supervisors since 1982. This does not include the
number of student SI leaders that have been trained each
semester on the campuses using the SI program. The average
number of SI targeted classes on each campus is 15. The
number of students impacted by the SI program nationally
each semester is approximately 300,000. Individual programs
are assessed through the SI reporting method. Nearly 100
programs each year submit reports concerning the implementation
of SI at their home campuses. In addition, each year UMKC
conducts a telephone survey to assess the status of the
SI program at each adopting site. The results of this survey
show that adopting institutions continue to maintain and
build their SI programs.
B. Resources Available from UMKC to Help
Institutions Implement SI
UMKC is well equipped to respond to requests
for SI awareness materials and training. Besides printed
materials, the UMKC staff and Certified Trainers provide
video tapes for awareness and training purposes. Twelve
Certified Trainers are located throughout the U.S. They
have completed the SI supervisor training, implemented successful
programs on their own campuses and completed additional
training to become Certified Trainers. The Certified Trainers
and UMKC staff conducted 34 SI awareness presentations and
were hosts to 14 SI supervisor training workshops during
the 1994-95 academic year. In addition, the staff from UMKC
and the Certified Trainers have been active in publishing
articles about the SI program. Although UMKC serves as the
main demonstration site, all Certified Trainers and most
active SI supervisors host interested visitors at their
campuses. UMKC staff has provided materials to professionals
for use in completing doctoral dissertations concerning
SI (Kenney, 1989; McGinty, 1989; Pryor, 1989). The SI supervisor's
training handbook has been updated and expanded to 150 pages
in length. UMKC has eight training or awareness videos available
for dissemination. Evaluation of these products, presentations,
and training workshops by users is consistently in the outstanding
range on a Likert scale. New research findings from the
UMKC site and from SI supervisors in the field are disseminated
throughout the SI network via a quarterly newsletter.
C. Requirements for Successful Implementation
of SI
To estimate the cost of implementing SI at
an institution, three factors needed to be considered. First,
will the institution need to employ new personnel to implement
the program, or can it use existing personnel? Second, will
the SI supervisor need assistance from other personnel?
Third, what types of support will be forthcoming from the
adopting institution in terms of release time and use of
facilities? Despite the number of SI's to be implemented,
one person from the institution needs to go through the
three and one-half day training workshop with the UMKC staff
or one of its Certified Trainers. The SI supervisor needs
to have release time for each SI that they will supervise.
The time commitment required of the SI supervisor will vary
over the course of the semester. During the first two weeks
of the academic term, the SI supervisor attends all lectures
in the targeted course and all SI sessions. After this first
intensive period, the SI supervisor's time commitment diminishes.
When a new SI program is being implemented
on a campus, it requires more time than when the program
is established. When starting up the program, the SI supervisor
will need to work more intensively with faculty members,
administrators and other staff members. UMKC finds that
during the first two weeks of the semester it takes about
six hours per week to supervise each class where SI is offered.
During this initial intense period in the semester, a person
could not be expected to supervise more than seven classes
where SI was being offered. This is the reason UMKC recommends
that institutions only begin with a few sections of SI in
order for the SI supervisor to become comfortable with implementing
the program. There is an economy of scale as the program
grows larger; therefore, it is not necessary for the administrative
support to grow at the same rate. Also, the introduction
of the "student assistant SI supervisor" has also
provided a cost-effective strategy to manage the time and
expense with administering a SI program.
[page 8]
Data gathered through reviewing individual
program reports and a telephone survey suggest that SI leader
salaries vary greatly by institution. If a SI leader is
paid hourly, their preparation time and their time in the
SI session are documented. A small private community college
in New York is currently offering two SI's a semester and
pays a minimum wage, $4.25 an hour. A medium sized college
in New Jersey pays $7.25 an hour and manages approximately
ten SI's a semester. A large public university in Utah offers
$4.50 to $6.00 an hour and conducts 200 SI's yearly. It
appears that the mean wage for SI leaders is approximately
$5.50 per hour. Other institutions prefer to offer a semester
stipend. UMKC's SI leaders are paid $850 to $950 each semester
(higher pay for returning SI leaders). A medium sized college
in Illinois classified their SI leaders as equivalent in
status to laboratory assistants on their campus and pays
them $2,000 per semester. SI leaders are not always rewarded
monetarily. A medium size university in Kansas rewards their
SI leaders by giving them academic credit from their school
of education.
D. Costs for Implementation and Operation
of the SI Program
During the 1980-81 academic year, UMKC provided
SI services to 566 students in 10 courses at a cost of $34,500;
an average cost of $60.95 per student. The total program
costs increased in FY 1995-96 since SI was offered in 41
courses, additional supervisory personnel were required
and wages had increased since 1980. However, the average
cost per student had decreased to $46.89 since more students
were served (1,454) and increased reliance was made of student
assistant SI supervisors. Personnel costs include salaries
for a full-time SI supervisor, a student assistant SI supervisor,
part-time secretarial assistance, and SI leaders ($850 per
course is the UMKC rate). However, these are variable costs
since some institutions might have other ways to cover them.
If a preexisting academic support program with full-time
staff is already in operation on a particular campus, the
program could be installed at a considerably lower cost.
SI leaders can be paid through work-study, academic credit,
partial tuition waiver, preexisting tutor budget, or other
means. The program costs would vary by the number of SI
courses and the rate of pay for SI leaders.
Longitudinal research studies suggest that
SI increases both re-enrollment and graduation rates. (Please
see data tables #8, #9, and #10). The following rationale
illustrates the use of SI to increase enrollment and revenue.
- During FY 1995-96, SI operated in 41 content
courses. These 41 courses had a total enrollment of 3,637
students. Over 40 percent of these 3,655 students (1,454
students) attended SI review sessions during the semester.
- Students who attended SI review sessions
at UMKC re-enrolled and graduated at a rate ten percentage
points higher than students who never attended SI review
sessions. (See data tables #8, #9, and #10). Research
suggests that the learning strategies and critical thinking
skills students develop through SI are transferred to
future academic work.
- Applying the ten percent point difference
between students who attended SI review sessions with
students who never attended, one can infer that last year
145 students re-enrolled at UMKC that otherwise would
have dropped out. (1,454 students x 10% = 145)
- Minimally, the average undergraduate student
(12 credit hours) spends $1,750 each year on tuition,
fees, bookstore purchases and other related expenditures.
Those 133 students provide $253,750 in additional revenue.
($1,750 x 145 = $253,750) Full time students in the professional
schools average $4,000 in annual expenditures.
- Each year new groups of first-year students
attend SI sessions. Taking only the last four years, over
5,302 students have attended SI. As mentioned above, research
suggests that nearly ten percent of students would have
dropped out of the University had they not attended SI
review sessions. Thus, some 530 additional students are
now in the pipeline due to SI participation.
- The economic impact of SI for these 530
additional students is considerable. With a minimal expenditure
of $1,750 each year in tuition, fees, and other expenditures,
the aggregate yearly impact is $927,500. This only assumes
that the student persists for one additional year in school.
The yearly impact would be
[page 9]
much higher if the student persisted longer
than just one additional year, especially if the student
graduated from the institution.
The economic impact with graduate and professional
school students would be considerable since they are full-time
and pay higher fees. Because of the nature of the curriculum
which tracks cohorts of students through the academic program,
students who withdraw after the first year in their program
cannot be easily replaced by new students. The lost revenue
from these empty seats in the cohort of students would continue
until the entire group graduated from their program.
Evidence for Supporting SI
Claims of Effectiveness
A. Claim Statements of SI
Claim 1.
Students participating in SI within the targeted historically
difficult courses earn higher mean final course grades than
students who do not participate in SI. This is still true
when differences are analyzed, despite ethnicity and prior
academic achievement.
Claim 2.
Despite ethnicity and prior academic achievement, students
participating in SI within targeted historically difficult
courses succeed at a higher rate (withdraw at a lower rate
and receive a lower percentage of D or F final course grades)
than those who do not participate in SI.
Claim 3.
Students participating in SI persist at the institution
(reenrolling and graduating) at higher rates than students
who do not participate in SI.
B. Description of Methodology for Each
Claim
1. Design
The basic design of the various quasi-experimental
research studies compares performance of the voluntary treatment
group (SI Participants) with the control group (Non-SI Participants).
Additional analyses compare SI-participants and non-participants
in terms of their motivation to participate, their prior
academic achievement and their ethnicity. Dependent variables
include final course grades, reenrollment and graduation
rates. The research does not meet the standards for true
experimental design, but results have been replicated across
many institutions. For the foregoing analyses, all students
within the targeted SI courses are included, both those
enrolled in UMKC and those enrolled in other institutions
where SI has been adopted and evaluative data have been
collected. The first six sets of studies use data from the
UMKC program: historical data (Table 3); disaggregation
of data by motivational control group (Table 4); disaggregation
of data by prior academic achievement (Table 5); disaggregation
of data by ethnicity (Table 6); frequency of SI attendance
upon mean final course grade (Table 7); and longitudinal
follow-up (Tables 8, 9 and 10). Two sets of studies contain
data from other institutions that have implemented SI: cross-institutional
(Tables 11, 12, and 13); and disaggregation of data by ethnicity
(Tables 14 and 15).
2. Population
The population studied for this report includes
all students enrolled in courses in which SI was offered,
those who participated in SI and those who did not. The
population represents students from UMKC and from other
institutions in the U.S. where SI has been adopted and effective
data collection efforts have been made.
3. Instruments and Procedures
Course rosters and background data (e.g.,
ethnicity, standardized entrance test scores, high school
rank) for students enrolled in SI targeted courses were
obtained. A student survey was administered the first day
of the course to find out the motivation level of the students
concerning SI. Another survey was administered the last
day of the course to gain information from SI-participants
(e.g., evaluation of the SI program) and Non-SI participants
(e.g., reason for not attending SI). Faculty members in
the targeted courses provided a list of students and their
grades on the first major examination in the course. Final
course grades, reenrollment and graduation data for students
were also obtained after the semester for students enrolled
in the targeted classes.
[page 10]
The procedures followed at UMKC were recommended
to other participating institutions. Due to differing administrative
structures of the many schools participating in the study,
not all were able to gather data in precisely the way that
UMKC has recommended. However, all reported their data gathering
procedures and evaluators determined that data included
in the study were precise enough to meet reasonable standards.
4. Data Collection
The UMKC national SI director was in charge
of all data collection and analysis. This person was responsible
for the collection, analysis, writing, and distribution
of periodic reports on the SI program's effectiveness. The
national SI director receives the semester reports from
the institutions that send reports to UMKC each year. A
variety of instruments and procedures were used to obtain
the information needed for an analysis of the data related
to student enrollment in the targeted courses. The SI staff
was carefully instructed in proper use of confidential student
data. All university protocols were followed.
5. Data Analysis
Standard statistical methods were used in
analysis of the data for comparing students. The level of
significance was set at p<.01 when independent t-tests
were employed for comparing final course grades. A significance
level of p<.05 was set when using the chi square tests
for comparing the percentage of A and B final course grades;
the percentage of D and F final course grades and withdrawals;
and the percentage of reenrollment. The chi square level
of significance was set at less than p<.01 for the graduation
study.
With the chi square, using nominal data,
this research study used p<.05 to heighten the sensitivity
of the measures. If an effect were present, the researchers
did not want to overlook it. On the other hand, when using
interval data, the researchers sought to enhance the specificity
of the statistical test, not wishing to claim an effect
that may not have been present. Additionally, the researchers
used p<.05 in measures there were thought of as a preliminary,
screening test. In more precise efforts to specify effects,
the researchers used p<.01.
C. Description of Results for Each Claim
Data from UMKC.
Study #1: Academic achievement for UMKC
students enrolled in SI courses.
Since 1980, UMKC has offered SI in 375 courses
at the undergraduate, graduate and professional school level.
An analysis of data on grades and withdrawal rates (Table
3) found that the SI-participants: earned significantly
higher percentage of A & B final course grades; significantly
lower percentage of D & F final course grades and withdrawals;
and significantly higher mean final course grades than the
Non-SI participants. Each cell within Table 3 compared the
SI and Non-SI groups. For instance, in 1995-96, 40 percent
of the students in SI classes participated in SI; SI-participants
had a higher percentage of A & B final course grades
(71% vs. 49%), lower percentage of D and F final course
grades and withdrawals (29% vs. 51%) and a higher mean final
course grade (2.75 vs. 2.47) than non-SI participants. These
results have been replicated each year in a variety of courses
at varying levels at the institution.
[page 11]
Table 3: SI UMKC Data: FY 1980-81 to 1995-96 (N=375
SI Courses; 14,667 SI-Participants)
| Year |
SI
Participation
Status |
SI
Participation
Percent/Number |
Number
of SI
Courses |
Percent
A & B |
Percent
D, F, & Withdrawal |
Final
Course
Grade |
| 1995-96 |
SI
Non-SI |
40.0% (1,454) |
41 |
52.0%*
37.8%* |
21.6%*
39.6%* |
2.64**
2.27** |
| 1994-95 |
SI
Non-SI |
36.3% (1,328) |
41 |
52.6%*
39.6%* |
20.8%*
36.0%* |
2.84**
2.69** |
| 1993-94 |
SI
Non-SI |
38.1% (1,233) |
40 |
49.0%*
37.1%* |
23.1%*
38.2%* |
2.52**
2.18** |
| 1992-93 |
SI
Non-SI |
37.0% (1,287) |
36 |
55.6%*
41.6%* |
20.7%*
37.3%* |
2.84**
2.50** |
| 1991-92 |
SI
Non-SI |
39.5% (1,520) |
27 |
56.4%*
41.5%* |
19.2%*
34.1%* |
2.69**
2.16** |
| 1990-91 |
SI
Non-SI |
34.1% (774) |
18 |
53.4%*
38.7%* |
16.0%*
31.2%* |
2.61**
2.23** |
| 1989-90 |
SI
Non-SI |
30.3% (753) |
19 |
58.3%*
41.9%* |
16.7%*
34.8%* |
2.70**
2.29** |
| 1988-89 |
SI
Non-SI |
29.9% (614) |
17 |
63.2%*
45.7%* |
15.6%*
28.9%* |
2.81**
2.39** |
| 1987-88 |
SI
Non-SI |
34.1% (775) |
24 |
60.4%*
43.8%* |
13.7%*
28.9%* |
2.80**
2.39** |
| 1986-87 |
SI
Non-SI |
44.3% (778) |
19 |
56.3%*
40.9%* |
18.3%*
34.1%* |
2.65**
2.41** |
| 1985-86 |
SI
Non-SI |
39.1% (584) |
16 |
51.5%*
41.2%* |
18.7%*
28.7%* |
2.55**
2.34** |
| 1984-85 |
SI
Non-SI |
42.6% (788) |
17 |
59.7%*
42.9%* |
16.8%*
25.4%* |
2.83**
2.27** |
| 1983-84 |
SI
Non-SI |
34.1% (765) |
19 |
54.5%*
39.5%* |
17.3%*
29.5%* |
2.76**
2.24** |
| 1982-83 |
SI
Non-SI |
43.1% (1,119) |
19 |
52.2%*
36.8%* |
17.9%*
28.2%* |
2.51**
2.07** |
| 1981-82 |
SI
Non-SI |
40.9% (329) |
5 |
58.2%*
38.5%* |
20.9%*
26.7%* |
2.61**
2.09** |
| 1980-81 |
SI
Non-SI |
32.2% (566) |
17 |
50.1%*
32.5%* |
14.2%*
33.1%* |
2.56**
2.16** |
*Level of significance for differences: 0.05
using chi-square test. **Level of significance for differences:
0.01 using independent t-test.
2. Study #2: Academic achievement for
Non-SI motivational control groups.
To control for motivation level, all students
were surveyed on the first day of class concerning interest
in SI. Students were asked to rate their motivation to attend
SI on a five-point Likert scale (5=high; 1=low). Since the
scheduled times for the SI sessions were not announced until
the second class sessions of the semester, students were
not aware of any time conflicts. Students who selected "4"
or "5" were designated as "highly motivated."
During the last class period of the semester another survey
was given to all students in the class. Students who did
not attend any SI sessions during the semester were asked
to select one of the designated choices for not attending
SI. If a student selected either time conflict with work
or with another college class, and had also indicated high
motivation to attend SI on the first day SI survey, the
student was assigned to the
[page 12]
Non-SI Motivational Control Group.
Creation of the Non-SI motivational control
group permitted comparison across the three groups: SI Participants,
Non-SI Participants (Motivational Control), and Non-SI Participants
(All Others). The following differences were seen in the
academic performance data in Table 4. Students using SI
services: (a) have entry data (high school class rank percentile,
and college entrance test scores) comparable to data of
the other groups; (b) have significantly higher average
course grades compared to both Non-SI groups (p<.01);
and (c) have considerably fewer D and F grades and withdrawals
than either of the Non-SI groups (p<.05).
While it is clear that the highly motivated
perform at higher levels than the less motivated, motivation
alone does not account for the majority of the differences
between the SI and Non-SI students for the measures investigated.
There are significant and substantial differences between
the SI group and the motivational control group in both
course grade and percent of unsuccessful enrollments.
Table 4: SI UMKC Data:
Winter 1996 (N=1,593)
-
Comparison of SI
Group, Non-SI (Motivational Control) Group, and Non-SI
(All Others) Group
| Student
Group |
Number
of Students |
Percent
A & B Final Course
Grades |
Percent
D,F,&W
Final Course Grades |
Student
Group |
| SI-Participant |
739 (46.4%) |
58.9%* |
17.2%* |
2.78** |
| Non-SI (Motivational
Control) |
56 (3.5%) |
33.9%* |
26.8%* |
2.16** |
| Non-SI (All Others) |
798 (50.1%) |
42.7%* |
38.6%* |
2.38** |
- *Level of significance of difference:
0.05 using chi-square test. **Level of significance of
difference: 0.01 using independent t-test.
-
Study #3: Academic achievement for students
of differing previous academic achievement.
Data were analyzed to determine the utilization
and effectiveness of SI services for students of differing
previous academic achievement. Previous academic achievement
was defined by high school (percentile) rank and mean composite
score on a college entrance exam (e.g., American College
Testing service). Students were divided into quartiles on
the basis of their mean composite ACT score as compared
with other UMKC students.
These data warrant the following observations.
Students in the bottom quartile group used SI services at
nearly the same rate as did students in the top quartile
(Table 5). Despite quartile ranking, SI-participating students
earned significantly higher grades than their nonparticipating
counterparts. SI-participating students in the bottom quartile
and the middle two quartiles reenrolled at the institution
at significantly higher rates than their nonparticipating
counterparts. While the SI and Non-SI groups of the top
quartile reenrolled at 93 percent, the Top Quartile SI-participants
received a significantly higher mean final course grade.
It is noteworthy that SI services appear
to meet the needs of students with a wide range of previous
levels of academic achievement within the same group setting,
thus reducing the necessity for the institution to provide
additional and separate tutorial programs.
[page 13]
Table 5: UMKC Students of Differing Levels
of Previous Academic Achievement:
Fall Semester 1989 to Winter Semester 1990
(N=1,628)
| Group
Composition |
Number
of
Students |
Percentage
of Students in Targeted Classes |
High
School Percentile
Rank |
Mean
Composite
ACT Score |
Percentage
Reenrolled
Following
Semester |
Final
Course
Grade |
Top Quartile,
SI |
112 |
32.9% |
87.5 |
26.8 |
92.9% |
3.29** |
Top Quartile,
Non-SI |
288 |
67.1% |
82.1 |
27.0 |
93.1% |
2.83** |
| Middle Two Quartiles,
SI |
262 |
27.6% |
68.7 |
21.3 |
90.5%* |
2.67** |
| Middle Two Quartiles,
Non-SI |
687 |
72.4% |
67.7 |
21.4 |
77.9%* |
2.28** |
Bottom Quartile,
SI |
104 |
30.7% |
64.9 |
15.1 |
85.6%* |
2.10** |
Bottom Quartile,
Non-SI |
235 |
69.3% |
63.5 |
15.7 |
77.9%* |
1.77** |
*Level of significance
of difference: 0.05 using chi-square test. **Level of significance
of difference: 0.01 using independent t-test.
Study #4: Academic achievement of African-American
students.
Table 6 describes the academic performance
of all 110 African-American students enrolled in 12 UMKC
College of Arts and Science, School of Pharmacy and School
of Basic Life Science courses that had SI attached during
the 1987 Fall Semester. The data suggests that African-American
students using SI when compared with Non-SI students of
the same ethnicity had a significantly lower percentage
of D and F final course grades and course withdrawals; and
earned a significantly higher mean final course grade.
Table 6: Effectiveness of SI With UMKC
African-American Students: Fall 1987 (N=110)
| Group
Composition |
Number/Percentage
of Students |
Percent
D, F, or W |
Mean
Final Course Grade |
| SI-Participant |
39, 35.5% |
31%* |
2.2** |
| Non-SI Participant |
71, 64.5% |
46%* |
1.8** |
*Level of significance of difference:
0.05 using chi square test.
**Level of significance of difference: 0.01 using independent
t-test.
Study #5: Frequency of SI attendance upon
final course grade.
Research suggests that increased frequency
of SI attendance correlates with higher final course grades
(Table 7). Astin (1993) suggests that most educational outcomes
are dependent upon both the frequency and the intensity
of interactions and activities in the college environment.
The following table suggests that higher
levels of SI attendance was positively related to higher
final course grades. If students attended SI sessions twelve
or more times, the mean final course grade was slightly
lower that other SI attendance groups. However the 12+ attendees
received a higher mean final course grade (2.64) than the
non-SI attendees (2.37). Interviews with these SI attendees
suggests that a large group were students who had planned
to withdraw from the course, but persisted through frequent
attendance at SI sessions.
[page 14]
Table 7: Frequency of SI Attendance Upon Mean Final
Course Grades: Winter 1996 (N = 1,590)
| Group
Composition |
Number
Students |
Percent
A & B Final Course Grades |
Percent
D, F & W
Final Course Grades |
Mean
Final
Course Grade |
| Do Not Attend Any SI
Sessions |
854 |
42.2%** |
39.3%** |
2.37* |
| Attended One or More
SI Session |
736 |
59.1%** |
18.2%** |
2.79* |
| Attended 1 to 3 SI Sessions |
378 |
56.3%** |
21.4%** |
2.77* |
| Attended 4 to 7 SI Sessions |
189 |
63.0%** |
17.4%** |
2.82* |
| Attended 8 to 11 SI
Sessions |
102 |
63.7%** |
12.8%** |
2.88* |
| Attended 12 or More
SI Sessions |
67 |
56.7%** |
10.5%** |
2.64* |
* Level of significant of difference: 0.05 using
chi-square test when comparing non-SI participants and each
of the SI-participant groups.
** Level of significance of difference: 0.01 using independent
t-test when comparing non-SI participants and each of the
SI-participant groups.
Study #6: Persistence rates of SI-participating students
at the institution.
Research suggests that SI makes a positive difference in
terms of increased reenrollment and college graduation (Tables
8, 9 and 10). The studies only consider UMKC students since
other institutions have not yet reported on their own persistence
studies. The reenrollment rates were significant at the
p<.05 level and the graduation rate was significant at
p<.01. Educational researchers have often cited academic
success as an important factor to eventual college graduation
(Tinto, 1987; Noel, et. al, 1985)
Table 8: Reenrollment Rates of UMKC Students
Enrolled in SI Courses, Fall 1989 (N=1,689)
| Group
Composition |
Number
Students |
Mean
High School Rank Percentile |
Reenrollment,
Spring 1990 |
| SI-Participant, Fall
1989 |
479 |
72.4 |
90.0%* |
| Non-SI Participant,
Fall 1989 |
1,210 |
72.0 |
81.5%* |
*Level of significance of difference: 0.05
using chi-square test.
Table 9: Reenrollment & Graduation
Rates of UMKC Students Enrolled in SI Courses 1989 to 1996
Term
SI Offered To Students |
Term
Examined for SI Impact |
Student
Group |
Number
Students |
Graduation
Percent |
Re-Enrollment
Percent |
Graduation
+
Re-Enrollment
Percent |
| Fall 89 |
Fall 90 |
SI
Non-SI |
386
923 |
7.8%
5.0% |
65.3%*
56.7%* |
73.1%*
61.7%* |
| Fall 90 |
Fall 91 |
SI
Non-SI |
529
1,162 |
5.9%
8.1% |
70.1%*
58.3%* |
76.0%*
66.4%* |
| Fall 91 |
Fall 92 |
SI
Non-SI |
795
1,085 |
4.8%
5.3% |
70.6%*
63.6%* |
75.4%*
68.9%* |
| Fall 92 |
Fall 93 |
SI
Non-SI |
639
1,221 |
8.6%
8.7% |
70.6%*
53.6%* |
79.2%*
62.3%* |
| Fall 93 |
Fall 94 |
SI
Non-SI |
699
1,221 |
5.2%
8.2% |
73.4%*
55.3%* |
78.6%*
63.5%* |
Note: table continued on next page.
*Level of significance of difference: 0.05 using chi-square
test. [page 15]
Table 9 cont'd: Reenrollment
& Graduation Rates of UMKC Students Enrolled in SI Courses
1989 to 1996
| Fall 94 |
Fall 95 |
SI
Non-SI |
604
962 |
4.3%
5.1% |
72.4%*
60.8%* |
76.7%*
65.9%* |
| Fall 95 |
Fall 96 |
SI
Non-SI |
619
940 |
5.5%
7.3% |
74.5%*
58.2%* |
80.0%*
65.5%* |
*Level of significance of difference:
0.05 using chi-square test.
Table 10: Graduation Rates of Fall 1989
UMKC First-Time, First-Year Students
Cumulative Graduation Rate By End of Four Time Periods
| Group
Composition |
By
Fall 1993 |
By
Fall 1994 |
By
Fall 1995 |
By
Fall 1996 |
| SI Participant |
15.9%** |
31.3%** |
38.1%** |
46.0%** |
| Non-SI
Participant |
12.3%** |
21.1%** |
27.4%** |
30.3%** |
**Level of significance of difference: 0.01
using chi-square test. Includes all UMKC First-Time, First-Year
Freshmen who were not enrolled in professional degree programs.
SI was offered in 19 courses during Fall 1983.
Data from other institutions that have implemented SI.
Study #1: Academic achievement for students from across
the U.S. who were SI-participants.
Nearly one hundred colleges and universities submit data
reports annually on their SI programs. The following tables
were compiled from 270 institutions of varying types. They
were selected since they had a sufficient number of SI's
in place; had sufficiently rigorous data collection procedures;
had transmitted their data to us in a timely fashion; they
represented a cross section of institutions (Table 11 study:
931 courses from two-year public, 3,001 courses from four-year
public and 993 courses from four-year private). These findings
are similar to those drawn from the UMKC campus: SI-participants
received a higher final mean course grade (p<.01) and
a lower percentage of D and F final course grades and withdrawals
(p<.05).
Table 11
National SI Field Data: FY 1982-83 to 1995-96
N=270 Institutions; 4,945 Courses; 505,738 Students)
Student
Grades |
|
All Institutions
N = 4,945 |
Two Year
Public
N = 931 |
Two Year
Private
N = 20 |
Four Year
Public
N = 3,001 |
Four Year Private
N = 993 |
Final Course
Grade |
SI
Non-SI |
2.42*
2.09* |
2.56*
2.09* |
2.55*
2.26* |
2.36*
2.07* |
2.55*
2.31* |
Percent A & B
Final Grades |
SI
Non-SI |
46.8%**
35.9%** |
50.2%**
32.4%** |
53.1%**
38.9%** |
53.1%**
38.9%** |
52.1%**
43.2%** |
Percent D, F,
& W
Final Grades |
SI
Non-SI |
23.1%**
37.1%** |
24.3%**
32.4%** |
24.6%**
31.5%** |
24.6%**
31.5%** |
19.1%**
28.4%** |
*Level of significance of difference: 0.01 using
independent t-test. **Level of significance of difference:
0.01 using chi-square test.
[page 16]
Table 12
National SI Field Data: FY 1982-83 to 1995-96
(N=270 Institutions; 4,945 Courses; 505,738 Students)
Data Separated by Broad Academic Disciplines
| Types of Courses |
|
Percent
A & B* |
Percent
D, F & W* |
Final Course
Grade** |
All Courses
N = 4,945 |
SI
Non-SI
p-value |
46.8%
35.9%
0.01 |
23.1%
37.1%
0.01 |
2.42
2.09
0.01 |
Business
N = 683 |
SI
Non-SI
p-value |
42.4%
32.9%
0.01 |
25.3%
38.5%
0.05 |
2.36
2.07
0.01 |
Health Science
N = 50 |
SI
Non-SI
p-value |
65.7%
55.3%
0.01 |
11.8%
16.6%
0.01 |
2.84
2.61
0.01 |
Humanities
N=268 |
SI
Non-SI
p-value |
54.5%
44.3%
0.01 |
18.1%
28.1%
0.01 |
2.61
2.35
0.01 |
Mathematics
N = 815 |
SI
Non-SI
p-value |
38.7%
32.2%
0.01 |
36.4%
48.7%
0.01 |
2.17
2.11
0.01 |
Natural Science
N = 1,761 |
SI
Non-SI
p-value |
46.4%
36.6%
0.01 |
22.4%
34.9%
0.01 |
2.41
2.11
0.01 |
Social Science
N = 1,235 |
SI
Non-SI
p-value |
51.1%
36.7%
0.01 |
18.4%
34.5%
0.01 |
2.52
2.12
0.01 |
*Using independent t-test. ** Using chi-square
t-test. n.s. = not statistically significant
Table 13
National SI Field Data: FY 1982-83 to 1995-96
(N=270 Institutions; 4,945 Courses; 505,738 Students)
Data Separated by Academic Departments
| Types of Courses |
|
Percent
A & B* |
Percent
D, F & W* |
Final Course
Grade** |
All Courses
N = 4,945 |
SI
Non-SI
p-value |
46.8%
35.9%
0.01 |
23.1%
37.1%
0.01 |
2.42
2.10
0.01 |
Accounting
N = 271 |
SI
Non-SI
p-value |
45.9%
35.2%
0.05 |
30.0%
45.9%
0.05 |
2.49
2.17
0.01 |
Administration of Justice
N = 22 |
SI
Non-SI
p-value |
47.3%
33.6%
0.05 |
21.1%
31.5%
0.05 |
2.40
2.03
0.01 |
Algebra
N = 219 |
SI
Non-SI
p-value |
36.4%
27.9%
0.05 |
37.5%
52.7%
0.05 |
2.20
1.91
0.01 |
Anatomy/Physiology
N = 73 |
SI
Non-SI
p-value |
52.2%
39.8%
0.05 |
17.6%
31.2%
0.05 |
2.60
2.30
0.01 |
Art
N = 12 |
SI
Non-SI
p-value |
66.8%
49.9%
0.05 |
11.1%
24.4%
0.05 |
2.84
2.47
0.01 |
[page 17]
Table 13 cont'd
| Types of Courses |
|
Percent
A & B* |
Percent
D, F & W* |
Final Course
Grade** |
Biology
N = 528 |
SI
Non-SI
p-value |
45.5%
35.2%
0.05 |
21.8%
33.5%
0.05 |
2.39
2.12
0.01 |
Calculus
N = 143 |
SI
Non-SI
p-value |
43.1%
37.2%
0.05 |
32.4%
42.5%
0.05 |
2.26
2.06
0.01 |
Chemistry
N = 718 |
SI
Non-SI
p-value |
46.2%
36.9%
0.05 |
23.2%
36.5%
0.05 |
2.40
2.08
0.01 |
Economics
N = 357 |
SI
Non-SI
p-value |
40.3%
31.3%
0.05 |
23.7%
36.1%
0.05 |
2.30
2.02
0.01 |
Engineering
N = 63 |
SI
Non-SI
p-value |
37.8%
30.9%
0.05 |
33.3%
44.2%
0.05 |
2.16
1.91
0.01 |
Finite Mathematics
N = 30 |
SI
Non-SI
p-value |
45.6%
31.5%
0.05 |
30.4%
48.4%
0.05 |
2.32
1.88
0.01 |
Foreign Language
N = 46 |
SI
Non-SI
p-value |
46.9%
53.2%
n.s. |
24.7%
23.8%
n.s. |
2.43
2.56
n.s. |
Geography
N = 93 |
SI
Non-SI
p-value |
46.4%
41.1%
0.05 |
21.1%
31.4%
0.05 |
2.40
2.22
0.01 |
Geology
N = 44 |
SI
Non-SI
p-value |
51.3%
41.9%
0.05 |
26.3%
28.8%
0.05 |
2.45
2.29
0.01 |
History
N = 495 |
SI
Non-SI
p-value |
52.1%
34.9%
0.05 |
18.9%
38.5%
0.05 |
2.54
2.06
0.01 |
Literature
N = 67 |
SI
Non-SI
p-value |
47.2%
32.1%
0.05 |
24.4%
43.9%
0.05 |
2.46
2.08
0.01 |
Marketing
N = 9 |
SI
Non-SI
p-value |
61.2%
34.3%
0.05 |
17.7%
39.5%
0.05 |
2.66
1.99
0.01 |
Mass Communications
N = 15 |
SI
Non-SI
p-value |
51.1%
40.9%
0.05 |
10.9%
20.7%
0.05 |
2.58
2.28
0.01 |
|