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. 2018 Fall;17(3):ar39. doi: 10.1187/cbe.16-11-0332

TABLE 4.

Critical Thinking Assessment Test (CAT) results by course

Skill categorya BI 125 BI 225 BI/CH 308
Question E P C Co Deltab Effect sizec Deltab Effect sizec Deltab Effect sizec
Summarize the pattern of results in a graph without making inappropriate inferences. X 0.28* 0.67 0.21 0.39** 1.10
Evaluate how strongly correlational-type data support a hypothesis. X X 0.11 0.83* 0.78 0.17
Provide alternative explanations for a pattern of results that has many possible causes. X X 0.1 0.26 0.62** 0.68
Identify additional information needed to evaluate a hypothesis. X X X −0.1 −0.06 −0.15
Evaluate whether spurious information strongly supports a hypothesis. X 0 0.06 −0.05
Provide alternative explanations for spurious associations. X X 0.2 0.16 0.06
Identify additional information needed to evaluate a hypothesis. X X X 0.03 −0.05 0.28 0.51
Determine whether an invited inference is supported by specific information. X 0.04 0.15 0.32 0.05
Provide relevant alternative interpretations for a specific set of results. X X 0.14 0.11 0.06
Separate relevant from irrelevant information when solving a real-world problem. X X −0.03 0.1 0.44* 0.57
Use and apply relevant information to evaluate a problem. X X X 0.28 0.40 0.59* 0.79 0
Use basic mathematical skills to help solve a real-world problem. X 0.01 0.15 0.22* 0.73
Identify suitable solutions for a real-world problem using relevant information. X X 0.1 0.63* 0.59 0.67* 0.61
Identify and explain the best solution for a real-world problem using relevant information. X X X 0.42 0.47 0.34
Explain how changes in a real-world problem situation might affect the solution. X X X −0.06 0 0.22
CAT total score 1.51 0.29 3.56* 0.52 2.74* 0.46

Bold and italic indicate significant differences (p < 0.05). Italic only indicates marginal differences (0.05 < p < 0.10).

aSkills categories assessed by each question: E, evaluate and interpret information; P, problem solving; C, creative thinking; Co, effective communication.

bGains or losses (deltas) are reported as the difference between pretest and posttest means for each question or total score. Significant differences were assessed by paired, two-tailed Student’s t tests.

cMean difference divided by pooled group SD (0.1–0.3, small effect; 0.3–0.5, moderate effect; >0.5, large effect).

*p < 0.05.

**p < 0.01.

0.05 < p < 0.10.