All Students Two-year Colleges Number of Students Tested at Each Institution July 2008 through June 2013

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1 Number of Students Tested at Each Institution July 2008 through June 2013 List of Institutions Number of School Name Students AIKEN TECHNICAL COLLEGE, SC 391 ARKANSAS NORTHEASTERN COLLEGE, AR 150 ASHLAND COMMUNITY AND TECHNICAL COLLEGE, KY 1,455 ATLANTIC CAPE COMMUNITY COLLEGE, NJ 256 BISHOP STATE COMMUNITY COLLEGE, AL 139 BLACK HAWK COLLEGE, IL 264 BOSSIER PARISH COMMUNITY COLLEGE, LA 515 BURLINGTON COUNTY COLLEGE, NJ 333 CAMDEN COUNTY COLLEGE, NJ 37 CENTRAL ARIZONA COLLEGE, AZ 137 COCHISE COLLEGE, AZ 616 COCONINO COMMUNITY COLLEGE, AZ 144 COLLEGE OF COASTAL GEORGIA, GA 362 COLLEGE OF SOUTHERN MARYLAND, MD 381 COLUMBIA STATE COMMUNITY COLLEGE, TN 1,708 COMMUNITY COLLEGE OF BALTIMORE COUNTY, THE, MD 3,456 COMMUNITY COLLEGE OF THE AIR FORCE, AL 809 COTTEY COLLEGE, MO 59 CUMBERLAND COUNTY COLLEGE, NJ 436 DARTON COLLEGE, GA 1,258 DAYTONA STATE COLLEGE, FL 383 DEAN COLLEGE, MA 161 DEL MAR COLLEGE, TX 340 DELAWARE COUNTY COMMUNITY COLLEGE, PA 218 EASTERN GATEWAY COMMUNITY COLLEGE, OH 114 EASTERN WEST VIRGINIA COMMUNITY AND TECHNICAL COLLEGE, WV 91 EASTFIELD COLLEGE, TX 159 EDISON STATE COLLEGE, FL 53 FLETCHER TECHNICAL COMMUNITY COLLEGE, LA 308 FLORIDA GATEWAY COLLEGE, FL 220 FLORIDA STATE COLLEGE AT JACKSONVILLE, FL 1,876 GLENDALE COMMUNITY COLLEGE, AZ 709 GREENVILLE TECHNICAL COLLEGE, SC 980 JEFFERSON STATE COMMUNITY COLLEGE, AL 563 JUDSON COLLEGE, AL 164 KANAWHA VALLEY COMMUNITY & TECHNICAL COLLEGE, WV 147 KASKASKIA COLLEGE, IL 270 KEISER UNIVERSITY, FL 419 KEYSTONE COLLEGE, PA 195 LAKE LAND COLLEGE, IL 152 LARAMIE COUNTY COMMUNITY COLLEGE, WY 1,937 Only those institutions testing 30 or more students in a college class were included in the analyses for that college class.

2 Number of Students Tested at Each Institution July 2008 through June 2013 List of Institutions Number of School Name Students LDS BUSINESS COLLEGE, UT 443 LOS ANGELES SOUTHWEST COLLEGE, CA 281 MADISONVILLE COMMUNITY COLLEGE, KY 385 MARTIN COMMUNITY COLLEGE, NC 888 MCDOWELL TECHNICAL COMMUNITY COLLEGE, NC 109 METROPOLITAN COMMUNITY COLLEGE, MO 904 MINERAL AREA COLLEGE, MO 2,000 MONTANA TECH OF THE UNIVERSITY OF MONTANA, MT 1,259 MONTCALM COMMUNITY COLLEGE, MI 447 MORGAN COMMUNITY COLLEGE, CO 108 MOTLOW STATE COMMUNITY COLLEGE, TN 2,530 MOTT COMMUNITY COLLEGE, MI 1,092 MOUNT WACHUSETT COMMUNITY COLLEGE, MA 48 NATIONAL COLLEGE, VA 689 NAVARRO COLLEGE, TX 90 NORTH IOWA AREA COMMUNITY COLLEGE, IA 1,884 NORTHEAST STATE TECHNICAL COMMUNITY COLLEGE, TN 3,357 NORTHEASTERN OKLAHOMA A&M COLLEGE, OK 842 PALM BEACH STATE COLLEGE, FL 255 PIMA COMMUNITY COLLEGE, AZ 1,073 RARITAN VALLEY COMMUNITY COLLEGE, NJ 574 RIVER PARISHES COMMUNITY COLLEGE, LA 269 ROANE STATE COMMUNITY COLLEGE, TN 3,022 SAINT PHILIP'S COLLEGE, TX 1,002 SEMINOLE STATE COLLEGE, FL 494 SOUTHERN WEST VIRGINIA COMMUNITY AND TECHNICAL COLLEGE, WV 784 SOUTHWEST TENNESSEE COMMUNITY COLLEGE, TN 2,916 SOUTHWEST TEXAS JUNIOR COLLEGE, TX 258 ST. JOHNS RIVER STATE COLLEGE, FL 211 ST. VINCENT'S COLLEGE, CT 328 STATE COLLEGE OF FLORIDA, MANATEE-SARASOTA, FL 258 STATE FAIR COMMUNITY COLLEGE, MO 2,033 SURRY COMMUNITY COLLEGE, NC 1,370 THREE RIVERS COMMUNITY COLLEGE, MO 774 TROCAIRE COLLEGE, NY 93 UNION COUNTY COLLEGE, NJ 486 UNIVERSITY OF AKRON WAYNE COLLEGE, OH 272 VICTOR VALLEY COMMUNITY COLLEGE, CA 207 VICTORIA COLLEGE, TX 203 VOLUNTEER STATE COMMUNITY COLLEGE, TN 3,432 WALTERS STATE COMMUNITY COLLEGE, TN 3,638 WARREN COUNTY COMMUNITY COLLEGE, NJ 207 WESTERN WYOMING COMMUNITY COLLEGE, WY 663 YOUNG HARRIS COLLEGE, GA ,858 Only those institutions testing 30 or more students in a college class were included in the analyses for that college class.

3 Distribution of Institutional Mean Total Scores Mean Number of Percent of Mean Number of Percent of Total Institutions Instns. Total Institutions Instns. Score Below Score Below 470 to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to to Total Number of Institutions 85 Mean Std. Dev. 5.83

4 Distribution of Institutional Mean Subscores Skills Subscores Critical Thinking Reading Writing Math No. of Pct. No. of Pct. No. of Pct. No. of Pct. Mean Subscore Instns. Below Instns. Below Instns. Below Instns. Below 126 to to to to to to to to to to to to to to to to to to to to to to Number of Institutions Mean Standard Deviation

5 Distribution of Institutional Mean Subscores (continued) Context-based Subscores Humanities Social Sciences Natural Sciences No. of Pct. No. of Pct. No. of Pct. Mean Subscore Instns. Below Instns. Below Instns. Below 126 to to to to to to to to to to to to to to to to to to to to to to Number of Institutions Mean Standard Deviation

6 Distribution of Individual Students' Total Scores Scaled Percent Scaled Percent Scaled Percent Scaled Percent Score Below Score Below Score Below Score Below 500 > > > > > > > > > < < < No. of Students 58,607* 90th percentile 464 Mean th percentile 451 Standard Deviation th percentile th percentile th percentile 418 *The score distribution used to compute these statistics has been modified, to prevent the statistics from being dominated by a few very large institutions. If an institution contributed more than 2300 students to this data set, the score of each of its students has been weighted by the fraction 2300/n, where n is the number of students from that institution. For example, if an institution tested 4600 students, the score of each of its students would receive a weight of 2300/4600 = 1/2. In computing the statistics, each of its students would count only half as much as a student from an institution that tested 2300 or fewer students. Therefore, an institution testing 4600 students would influence the statistics just as much as if it had tested only 2300 students.

7 Scaled Score All Students Distribution of Individual Students' Subscores Skills Subscores: Percent of Students Below Each Scaled Score Critical Context-Based Subscores: Pct. of Students Below Each Scaled Score Social Natural Thinking Reading Writing Mathematics Humanities Sciences Sciences 130 >99 98 >99 >99 >99 >99 > >99 98 >99 >99 99 >99 > >99 94 > >99 > > <1 1 < <1 <1 1 <1 <1 < Number of Students 58,607* 58,607* 58,607* 58,607* 58,607* 58,607* 58,607* Mean Score Standard Deviation th percentile th percentile th percentile th percentile th percentile *The score distribution used to compute these statistics has been modified, to prevent the statistics from being dominated by a few very large institutions. If an institution contributed more than 2300 students to this data set, the score of each of its students has been weighted by the fraction 2300/n, where n is the number of students from that institution. For example, if an institution tested 4600 students, the score of each of its students would receive a weight of 2300/4600 = 1/2. In computing the statistics, each of its students would count only half as much as a student from an institution that tested 2300 or fewer students. Therefore, an institution testing 4600 students would influence the statistics just as much as if it had tested only 2300 students.

8 Summary of Proficiency Classifications Percent of Students Classified as Skill Dimension and Level Not Proficient Marginal Proficient Critical Thinking 4% 14% 82% Reading, Level 2 30% 19% 51% Reading, Level 1 59% 22% 19% Writing, Level 3 4% 19% 77% Writing, Level 2 13% 33% 54% Writing, Level 1 53% 32% 14% Mathematics, Level 3 5% 11% 84% Mathematics, Level 2 21% 24% 56% Mathematics, Level 1 45% 28% 27% Total Number of Students: 64,858 Weighted Number of Students: 58,607* *The score distribution used to compute these statistics has been modified, to prevent the statistics from being dominated by a few very large institutions. If an institution contributed more than 2300 students to this data set, the score of each of its students has been weighted by the fraction 2300/n, where n is the number of students from that institution. For example, if an institution tested 4600 students, the score of each of its students would receive a weight of 2300/4600 = 1/2. In computing the statistics, each of its students would count only half as much as a student from an institution that tested 2300 or fewer students. Therefore, an institution testing 4600 students would influence the statistics just as much as if it had tested only 2300 students.

9 Demographic Summary Percent in Category Unweighted data Weighted data* Demographic Category AGE Under 20 17% 17% 20 to 29 57% 57% 30 to 39 15% 15% 40 to 49 8% 8% 50 to 59 3% 3% 60 or more <1% <1% GENDER Male 37% 37% Female 63% 63% ETHNICITY American Indian/Alaskan Native 1% 1% Asian/Asian American/Pacific Is. 2% 2% African American 11% 11% Black Hispanic 1% 1% Hispanic 6% 6% Latin American 1% 1% White 74% 74% Other 4% 4% BEST LANGUAGE English 87% 87% Other Language 9% 9% Both Equal 4% 4% *The score distribution used to compute these statistics has been modified, to prevent the statistics from being dominated by a few very large institutions. If an institution contributed more than 2300 students to this data set, the score of each of its students has been weighted by the fraction 2300/n, where n is the number of students from that institution. For example, if an institution tested 4600 students, the score of each of its students would receive a weight of 2300/4600 = 1/2. In computing the statistics, each of its students would count only half as much as a student from an institution that tested 2300 or fewer students. Therefore, an institution testing 4600 students would influence the statistics just as much as if it had tested only 2300 students.

10 Demographic Summary Percent in Category Unweighted data Weighted data* Demographic Category ENROLLMENT STATUS Full Time 74% 74% Part Time 26% 26% CREDIT HRS TRANSFERRED Not a Transfer 73% 73% 0-15 Hours Transferred 10% 10% Hours Transferred 7% 7% >30 Hours Transferred 10% 10% HOURS WORKED FOR WAGES None 24% 25% 1-15 Hours 18% 18% Hours 28% 28% >30 Hours 29% 29% CUMULATIVE GPA % 32% % 37% % 23% % 7% % 1% Less than 1.00 <1% <1% *The score distribution used to compute these statistics has been modified, to prevent the statistics from being dominated by a few very large institutions. If an institution contributed more than 2300 students to this data set, the score of each of its students has been weighted by the fraction 2300/n, where n is the number of students from that institution. For example, if an institution tested 4600 students, the score of each of its students would receive a weight of 2300/4600 = 1/2. In computing the statistics, each of its students would count only half as much as a student from an institution that tested 2300 or fewer students. Therefore, an institution testing 4600 students would influence the statistics just as much as if it had tested only 2300 students.

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