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The present study investigated how individuals of different occupations/educational levels critically think and make decisions. Additionally, critical thinking ability and decision-making preferences within educational groups were investigated. This was done by sampling undergraduates, graduate students, and post-graduates in both medical and legal fields. Members of the general population were also surveyed. After giving consent to partake in the study, subjects completed a battery of six cognitive tests gauging critical thinking and decision making preferences. Results indicated that individuals of different occupations differed in terms of critical- thinking abilities. Specifically, physicians were found to underperform on certain critical-thinking measures when compared to other highly- educated samples, such as lawyers. James P. Dunlea Department of Human Development, Cornell University Abstract 1. Both physicians and lawyers will outperform members of the general population on critical thinking and numeracy measures 2. Physicians and members of the general population will show a stronger tendency to make decisions based upon limited or ambiguous information than lawyers. Introduction Hypotheses It has been well-documented that college students across multiple universities possess different cognitive profiles. Specifically, distinct differences in cognitive reflection abilities among undergraduate college students at a wide range of American universities have been reported 1 . Other researchers have reported cognitive differences among members of different occupations 2 . For example, it was reported that teachers had significantly better memory than medical professionals. Combining the results of the previous studies, I believe that there will also be differences in critical thinking and decision-making preference among individuals of different occupational and educational backgrounds. Given this research, differences may exist in how physicians critically think and make decisions compared to members of the general population and to members of other highly educated samples. Methodology Sample 734 participants recruited via Amazon’s Mechanical Turk, Cornell’s SONA, and snowball sampling method Ages 18-78 years (M = 30, SD = 14); 38.3% male, 47.1% college graduates, 69.6% Caucasian, 15.8% Asian/Pacific Islander, 5% African American, 4% Hispanic, and 4.9% “other” Measures Procedure Participants provided consent and then completed several measures Participants were asked to provide demographic information regarding their ethnicity, gender, age, highest level of completed education, number of STEM courses taken, and income. Results Address correspondence to: James P. Dunlea Cornell University [email protected] Discussion Results indicate critical-thinking differences exist both within and across fields Physicians often underperformed on critical-thinking tasks compared to other highly-educated occupations Physicians are indistinguishable from members of general population on some critical-thinking measures Decrease in critical-thinking ability seen in physician population after graduate school Results indicate indistinguishable decision-making preferences between groups Future research should investigate why critical thinking decline happens in physicians. Additionally, education-based interventions that can combat this cognitive decline should be researched, developed, and implemented in post-medical school training curriculum. The current study References 1. Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19, 25 – 42. doi: 10.1257/089533005775196732 2. Loftus, E.F., Levidow, B., & Duensing, S. (1992). Who remembers best? Individual differences in memory for events that occurred in a science museum. Applied Cognitive Psychology, 6, 93 – 107. Critical Thinking Critical Reflection Task (CRT): measures need for cognitive reflection—how able one is to recognize the importance of delayed gratification Abridged Numeracy Task: measures statistical and basic mathematical reasoning The Linda Problem: a conjunction fallacy problem measuring rational judgment The Wason Card Task: measures deductive reasoning capabilities Education Critical Thinking Decision-Making Decision-Making Beads Task: measures willingness to jump to conclusions with varying degrees of information to make decision; two versions were administered, “easy”(Fig. 1) and “hard” versions (Fig. 2). 1.Easy Version 2.Hard Version 0 1 2 3 4 5 6 7 Undergraduate Graduate Post-Graduate Number Mean Beads Drawn Education Level Beads Drawn on Easy Beads by Education Track Medical Track Law Track 0 2 4 6 8 10 12 Undergraduate Graduate Post-Graduate Number Mean Beads Drawn Education Level Beads Drawn on HardBeads by Educational Track Medical Track Law Track 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 Undergraduate Graduate Post-Graduate Mean Composite Numeracy Score Education Level Abridged Numeracy Scale Mean Composite by Educational Track Medical Track Law Track 0 0.5 1 1.5 2 2.5 3 Undergraduate Graduate Post-Graduate Mean Composite CRT Score Education Level CRT Mean Composite Score by Educational Track Medical Track Law Track 0 5 10 15 20 25 30 35 Undergraduate Graduate Post-Graduate Percent Correct Educational Track Percent Correct on Wason Cards Task by Educational Track Medical Track Law Track 0 10 20 30 40 50 60 70 80 Undergraduate Graduate Post-Graduate Percent Correct Educational Track Percent Correct on Wendy Problem by Educational Track Medical Track Law Track

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The present study investigated how individuals of different occupations/educational levels critically think and make decisions. Additionally, critical thinking ability and decision-making preferences within educational groups were investigated. This was done by sampling undergraduates, graduate students, and post-graduates in both medical and legal fields. Members of the general population were also surveyed. After giving consent to partake in the study, subjects completed a battery of six cognitive tests gauging critical thinking and decision making preferences. Results indicated that individuals of different occupations differed in terms of critical-thinking abilities. Specifically, physicians were found to underperform on certain critical-thinking measures when compared to other highly-educated samples, such as lawyers.

James P. DunleaDepartment of Human Development, Cornell University

Abstract

1. Both physicians and lawyers will outperform members of the general population on critical thinking and numeracy measures

2. Physicians and members of the general population will show a stronger tendency to make decisions based upon limited or ambiguous information than lawyers.

Introduction

Hypotheses

• It has been well-documented that college students across multiple universities possess different cognitive profiles. Specifically, distinct differences in cognitive reflection abilities among undergraduate college students at a wide range of American universities have been reported1.

• Other researchers have reported cognitive differences among members of different occupations2. For example, it was reported that teachers had significantly better memory than medical professionals.

• Combining the results of the previous studies, I believe that there will also be differences in critical thinking and decision-making preference among individuals of different occupational and educational backgrounds.

• Given this research, differences may exist in how physicians critically think and make decisions compared to members of the general population and to members of other highly educated samples.

MethodologySample• 734 participants recruited via Amazon’s Mechanical Turk,

Cornell’s SONA, and snowball sampling method• Ages 18-78 years (M = 30, SD = 14); 38.3% male, 47.1%

college graduates, 69.6% Caucasian, 15.8% Asian/Pacific Islander, 5% African American, 4% Hispanic, and 4.9% “other”

Measures

Procedure• Participants provided consent and then completed several

measures• Participants were asked to provide demographic information

regarding their ethnicity, gender, age, highest level of completed education, number of STEM courses taken, and income.

Results

Address correspondence to:James P. Dunlea

Cornell University [email protected]

Discussion• Results indicate critical-thinking differences exist both within

and across fields • Physicians often underperformed on critical-thinking tasks

compared to other highly-educated occupations• Physicians are indistinguishable from members of general

population on some critical-thinking measures • Decrease in critical-thinking ability seen in physician population

after graduate school• Results indicate indistinguishable decision-making preferences

between groups• Future research should investigate why critical thinking decline

happens in physicians. Additionally, education-based interventions that can combat this cognitive decline should be researched, developed, and implemented in post-medical school training curriculum.

The current study

References1. Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19, 25 – 42. doi:

10.1257/089533005775196732

2. Loftus, E.F., Levidow, B., & Duensing, S. (1992). Who remembers best? Individual differences in memory for events that occurred in a science museum. Applied Cognitive Psychology, 6, 93 – 107.

Critical Thinking Critical Reflection Task (CRT): measures need for cognitive reflection—how able one is to recognize the importance of delayed gratificationAbridged Numeracy Task: measures statistical and basic mathematical reasoningThe Linda Problem: a conjunction fallacy problem measuring rational judgmentThe Wason Card Task: measures deductive reasoning capabilities

Education

Critical Thinking

Decision-Making

Decision-Making Beads Task: measures willingness to jump to conclusions with varying degrees of information to make decision; two versions were administered, “easy”(Fig. 1) and “hard” versions (Fig. 2).

1.Easy Version

2.Hard Version

0

1

2

3

4

5

6

7

Undergraduate Graduate Post-Graduate

NumberMeanBeadsD

rawn

Education Level

BeadsDrawnonEasyBeadsbyEducationTrack

MedicalTrack LawTrack

0

2

4

6

8

10

12

Undergraduate Graduate Post-Graduate

NumberMeanBeadsD

rawn

Education Level

BeadsDrawnonHardBeadsbyEducationalTrack

MedicalTrack LawTrack

00.51

1.52

2.53

3.54

4.55

Undergraduate Graduate Post-Graduate

MeanCompositeNu

meracyScore

Education Level

AbridgedNumeracyScaleMeanComposite byEducationalTrack

MedicalTrack LawTrack

0

0.5

1

1.5

2

2.5

3

Undergraduate Graduate Post-Graduate

MeanCompositeCRTScore

Education Level

CRTMeanComposite ScorebyEducationalTrack

MedicalTrack LawTrack

0

5

10

15

20

25

30

35

Undergraduate Graduate Post-Graduate

PercentCorre

ct

Educational Track

PercentCorrectonWason CardsTaskbyEducationalTrack

MedicalTrack LawTrack

0

10

20

30

40

50

60

70

80

Undergraduate Graduate Post-Graduate

PercentCorre

ct

Educational Track

PercentCorrectonWendyProblembyEducationalTrack

MedicalTrack LawTrack