Overview Entry Assessment Testing as a Predictor of Student Success presented by Cindy James Background Information Introduction to the Study Findings Conclusions Assessment Centre Coordinator University College of the Cariboo Kamloops, British Columbia, Canada [email protected] Background The University College of the Cariboo (UCC) is a public educational institute offering both college and university programs. The main campus is located in Kamloops, British Columbia, Canada. Seven regional offices/campuses within the central and southern interior of B.C. UCC Enrollment (2002/2003) University Degrees 5575 Diplomas 1387 Vocational 1462 Developmental 1657 Totals 10081 1 UCC Assessment Centre Purpose: To provide general educational assessments to facilitate appropriate placement in courses/programs. To administer entry assessments for admission to various UCC programs. To coordinate and/or invigilate examinations for other educational institutions and outside agencies. Administered/Coordinate ~ 3500 assessments/tests per year Accuplacer Tests Reading Comprehension Sentence Skills Arithmetic Elementary Algebra College Level Mathematics WritePlacer Plus & WritePlacer ESL Language of English Proficiency tests Accuplacer WEB-based computer testing system Utilizes Adaptive Technology Customized Testing Computer scored Built-in Database UCC College Preparation Purpose Offers adult learners the opportunity to complete prerequisites for admission into career, vocational and academic programs and/or to complete an ABE diploma. Courses (offered year round) English, Math, General Science, Biology, Physics, Chemistry, Student Success, Psychology, Computing and Social Science. Placement Self – select for lower level courses (040 & 050) Pre-requisites for the higher level courses (060) 2 The Study Study Timeline The Big Question To improve the placement procedure and hence the success rate for College Preparation courses and programs, should entry assessment testing be mandatory for College Preparation applicants? The Consequential Question Can Accuplacer Tests Scores Predict Student Success/Nonsuccess in College Preparation Courses? Spring/Summer session 2003 Study Participants Study Cohorts Accuplacer tests administered to 6 different classes of English and Math students on the first day of classes. Classes met on a daily basis for 7 weeks (total of 75 hours of instruction). Final Grades collected at the end of each course. Data analysis conducted during the Fall 2003. Math Statistics Total Sample size (n) 93 Females 48 Males 45 Average Age 27 English # of participants Cohort # of participants Math 040 11 English 040 10 Math 050 15 English 050 7 Math 060 34 English 060 16 Total 60 Total 33 Cohort 3 Success Rates Regression Analysis Utilized Statistics Total Successful Students To evaluate the linear relationship between the predictor variables (Accuplacer test scores) and the outcome (final grade). 84 (final grade ≥ 50%) NonSuccessful Students 9 Logistic Regression Analysis To evaluate the relationship between the predictor variables (Accuplacer test scores) and the dichotomous outcome (success vs nonsuccess). (final grade < 50%, DNC, Withdrew) Success Rate Linear & Multiple Regression Analysis 90 % Linear & Multiple Regression Analysis Math Cohort Linear Regression Analysis Final Math Grade as a Function of Arithmetic Test Scores Pearson’s Correlation Coefficient (r) 110 Accuplacer Test Scores Final Grade Math 040 (n = 10) Math 050 (n = 13) Math 060 (n = 32) Arithmetic Algebra Both Tests 0.460 0.303 0.469 0.290 0.392 0.397 Final Grade in Math Course (%) 100 90 80 70 Math 060 60 Rsq = 0.1528 50 Math 050 Rsq = 0.0841 40 Math 040 0.391 0.617 0.619 30 20 Rsq = 0.2117 40 60 80 100 120 Accuplacer Arithmetic Test Score 4 Linear & Multiple Regression Analysis Linear Regression Analysis Final Math Grade as a Function of Algebra Test Scores English Cohort Pearson’s Correlation Coefficient (r) 110 Accuplacer Test Scores 90 80 Final Grade 70 60 50 Math 060 English 040 Rsq = 0.3806 (n = 10) Math 050 Rsq = 0.1533 English 050 Math 040 (n = 6) 40 30 Rsq = 0.0916 20 40 60 80 100 120 Sentence Skills Both Tests 0.285 0.641 0.669 0.071 0.143 0.172 0.508 0.563 0.575 English 060 Linear Regression Analysis Linear Regression Analysis Final English Grade as a Function of Reading Comprehension Test Scores Final Grade in English Course (%) Reading Comprehension (n = 15) Accuplacer Elementary Algebra Test Scores Final English Grade as a Function of Sentence Skills Test Scores 100 100 90 90 80 70 English 060 Rsq = 0.2580 English 050 60 Rsq = 0.0050 Final Grade in English (%) Final Grade in Math (%) 100 80 70 English 060 Rsq = 0.3169 English 050 60 Rsq = 0.0206 English 040 50 Rsq = 0.0814 20 40 60 80 100 120 Accuplacer Reading Comprehension Test Score English 040 50 20 Rsq = 0.4111 40 60 80 100 120 Accuplacer Sentence Skills Test Score 5 Logistic Regression Logistic Regression Analysis Sample Classification Table - Math 050 cohort Creates a model that predicts a dichotomous outcome based on one or more predictor variables. Predictor – Elementary Algebra Test score Predicted Outcome Percentage NonSuccess Success Correct 2 2 50.0% NonSuccess (4) For this Study: Outcome = Success or NonSuccess Predictor variables = Accuplacer test scores Success (11) 1 10 Overall 90.9% 80.0% P-value 0.033 Cutoff = 0.5 Logistic Regression Logistic Regression Models Sample Classification Table - English 060 cohort Math Cohort Predictor – Sentence Skills Test score Overall Percentage Correct Predicted Outcome Percentage NonSuccess Success Correct Math 040 NonSuccess (1) 0 1 0% Success (15) 0 15 100.0% Math 050 Overall 93.8% P-value 0.030 Math 060 Cutoff = 0.5 (n = 11) (n = 15) (n = 34) Arithmetic Elementary Algebra Both Tests 90.9% 90.9% 100 %* 73.3% 80.0%* 73.3% 88.2%* 88.2%* 94.1%* *Level of significance (p-value) < 0.05 6 Logistic Regression Models Answers to the Questions? English Cohort Overall Percentage Correct English 040 (n = 10) English 050 (n = 7) English 060 (n = 16) Reading Comprehension Sentence Skills Both Tests n/a n/a n/a 71.4% 100%* 100% 100%* 93.8%* 100%* Can Accuplacer Tests Scores Predict Student Success/Nonsuccess in College Preparation Courses? Yes! Should entry Assessment Testing be Mandatory for College Preparation Applicants? Yes, but used as an advising tool only! *Level of significance (p-value) < 0.05 What Now? Gather more data to support or refute the findings. Test the prediction Models Expand the study Initiate new studies Contact Information Cindy James UCC Assessment Centre Coordinator 900 McGill Road Box 3010 Kamloops, BC Canada Phone: 250 – 828 – 5471 Fax: 250 – 371 – 5690 Email: [email protected] Website: www.cariboo.bc.ca/dsd/assmnt/ 7
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