Fiveable
🧠AP Psychology
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🧠AP Psychology

FRQ 2 – Evidence Based Question (EBQ)
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Unit 1: Biological Bases of Behavior
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FRQ Types & Units

Each FRQ type tests specific skills taught in particular units. Here's why certain units appear for each question type:

This mapping reflects College Board's exam structure - each FRQ type tests specific skills that are taught in particular units.

Practice FRQ 1 of 201/20

This question has three parts: Part A, Part B, and Part C. Use the three sources provided to answer all parts.

For Part B and Part C, you must cite the source that you used to answer the question. You can do this in two different ways:

• Parenthetical Citation: For example: "...(Source 1)."
• Embedded Citation: For example: "According to Source 1..."

Write the response to each part of the question in complete sentences. Use appropriate psychological terminology.

2. Using the sources provided, develop and justify an argument about whether sleep deprivation and circadian disruption negatively impact cognitive performance.

A.

Propose a specific and defensible claim based in psychological science that responds to the question.

B.
i.

Support your claim using at least one piece of specific and relevant evidence from one of the sources.

ii.

Explain how the evidence from Part B (i) supports your claim using a psychological perspective, theory, concept, or research finding learned in AP Psychology.

C.
i.

Support your claim using an additional piece of specific and relevant evidence from a different source than the one that was used in Part B (i).

ii.

Explain how the evidence from Part C (i) supports your claim using a different psychological perspective, theory, concept, or research finding learned in AP Psychology than the one that was used in Part B (ii).

Source 1

AI generated

Introduction

How does total sleep deprivation affect motor performance and sustained attention during complex tasks such as driving? This study examined the relationship between sleep deprivation and performance errors, focusing on how reduced arousal levels—regulated by the reticular formation—may impair the brain's ability to maintain alertness and coordinate motor responses during demanding activities.

Participants

  • Total N: 40

  • Gender Breakdown: 22 females, 18 males

  • Age Info: Mean age = 20.4 years (SD = 1.8), range 18-25 years

  • Recruitment: Participants were undergraduate students recruited through the university psychology research participant pool and received course credit for their participation. All participants held valid driver's licenses and reported no history of sleep disorders.

Method

The experiment utilized a high-fidelity driving simulator housed in a controlled laboratory environment. The simulator featured a realistic steering wheel, pedals, and a wraparound screen displaying a monotonous highway driving scenario. Ambient lighting and temperature were kept constant across all testing sessions to minimize extraneous variables.

Participants arrived at the laboratory at 8:00 AM on testing day. After providing informed consent, all participants completed a baseline alertness questionnaire (Stanford Sleepiness Scale). They then received standardized instructions for the driving simulation task and completed a 5-minute practice session to familiarize themselves with the controls. Following this, participants completed the 30-minute experimental driving simulation, which required them to maintain a consistent speed of 65 mph while staying centered in their lane on a straight, monotonous highway. Research assistants monitored participants throughout testing.

The primary dependent variable was the number of lane deviation errors during the 30-minute driving simulation. A lane deviation was operationally defined as any instance where any portion of the virtual vehicle crossed the lane boundary markings for more than 0.5 seconds. The simulation software automatically recorded all lane deviations with timestamps.

Control Group (8 hours of sleep): Twenty participants were instructed to maintain their normal sleep schedule the night before testing, ensuring a minimum of 8 hours of sleep. Sleep was verified through self-report sleep diaries and actigraphy wristbands worn the night before participation.

Experimental Group (24 hours of wakefulness): Twenty participants remained awake for 24 consecutive hours prior to testing. Participants stayed overnight in the laboratory under researcher supervision, engaging in low-stimulation activities (reading, watching videos) while being prevented from consuming caffeine or other stimulants.

Results

  • Participants in the sleep-deprived group committed significantly more lane deviation errors (M = 18.5, SD = 4.2) compared to the rested control group (M = 3.2, SD = 1.6).

  • The sleep-deprived group showed a marked increase in errors during the final 10 minutes of the simulation, suggesting a progressive decline in sustained attention.

An independent samples t-test revealed a statistically significant difference between groups, t(38) = 15.24, p < .001, Cohen's d = 4.81, indicating a very large effect size.

Mean Lane Deviation Errors by Sleep Condition

04.69.313.918.5Control Group (8 hours sleep)Sleep-Deprived Group (24 hours awake)
Control Group (8 hours sleep)
Sleep-Deprived Group (24 hours awake)
X-axis: Sleep Condition | Y-axis: Number of Lane Deviation Errors

Mean Lane Deviation Errors by Sleep Condition

Condition

Number of Lane Deviation Errors

Control Group (8 hours sleep)

3.2

Sleep-Deprived Group (24 hours awake)

18.5

Discussion

These findings demonstrate that 24 hours of sleep deprivation substantially impairs motor performance and sustained attention during a simulated driving task. The results support the critical role of the reticular formation in maintaining arousal and alertness, suggesting that sleep deprivation compromises this brainstem structure's ability to activate the cortex and sustain the vigilance necessary for safe driving performance.

Thornton, R. J., Vasquez, M. E., & Chen, A. K. (2021). Sleep deprivation and driving performance: The role of arousal systems in sustained attention failures. Journal of Sleep Research and Behavioral Neuroscience, 34(2), 112-128.

Source 2

AI generated

Introduction

This study investigated how different stages of sleep contribute to complex problem-solving performance, specifically examining whether REM or NREM sleep plays a more critical role in cognitive functioning. Building on theories of memory consolidation, which propose that sleep facilitates the integration and strengthening of newly acquired information, researchers sought to determine which sleep stage is most essential for higher-order reasoning abilities.

Participants

  • Total N: 60

  • Gender Breakdown: 32 females, 28 males

  • Age Info: Mean age = 34.2 years (SD = 8.7), range 21-52 years

  • Recruitment: Participants were recruited from the local community through flyers posted at community centers and online advertisements; all participants reported no history of sleep disorders and maintained regular sleep schedules

Method

The experiment was conducted at a university sleep research laboratory equipped with polysomnography (PSG) monitoring systems to track participants' sleep stages in real-time. Participants were randomly assigned to one of three conditions and spent two consecutive nights in the laboratory, with the first night serving as an adaptation period.

On the evening of the experimental night, all participants completed a 30-minute training session on complex logic puzzles between 8:00 PM and 9:00 PM to ensure baseline familiarity with the task format. Participants then went to sleep at their typical bedtime (standardized between 10:00 PM and 11:00 PM). During sleep, researchers monitored PSG readings continuously and implemented the appropriate intervention based on condition assignment. All participants were awakened at 7:00 AM regardless of condition. After a standardized breakfast and 90-minute wake period to eliminate sleep inertia effects, participants completed a battery of 20 novel complex logic puzzles within a 60-minute time limit.

Problem-solving ability was operationally defined as the percentage of complex logic puzzles solved correctly out of 20 total puzzles. Each puzzle required multi-step deductive reasoning and pattern recognition. Sleep architecture was monitored using standard polysomnography including EEG, EOG, and EMG to accurately identify sleep stages and ensure successful experimental manipulation of each condition.

Undisturbed Sleep (Control): Participants were allowed to sleep normally for 8 hours without any interruptions while connected to PSG monitoring equipment

NREM Deprivation: Participants were awakened by a tone and gentle verbal prompt each time PSG readings indicated entry into Stage 3 (slow-wave) sleep, then allowed to return to sleep after brief arousal

REM Deprivation: Participants were awakened by a tone and gentle verbal prompt each time PSG readings indicated entry into REM sleep, then allowed to return to sleep after brief arousal

Results

  • Participants in the REM Deprivation condition solved significantly fewer puzzles correctly (M = 45% accuracy, SD = 12.3) compared to both other groups

  • The NREM Deprivation group achieved 78% accuracy (SD = 10.1), while the Undisturbed Sleep control group achieved 82% accuracy (SD = 9.4)

  • The difference between NREM Deprivation and Control groups was not statistically significant, but REM Deprivation differed significantly from both other conditions

A one-way ANOVA revealed a significant main effect of sleep condition on puzzle accuracy, F(2, 57) = 47.83, p < .001, η² = .63. Post-hoc Tukey HSD tests showed that REM Deprivation differed significantly from both Control (p < .001) and NREM Deprivation (p < .001), while Control and NREM Deprivation did not significantly differ (p = .42).

Mean Percentage of Logic Puzzles Solved Correctly by Sleep Condition

020.54161.582Undisturbed Sleep (Control)NREM DeprivationREM Deprivation
Undisturbed Sleep (Control)
NREM Deprivation
REM Deprivation
X-axis: Sleep Condition | Y-axis: Puzzle Accuracy (%)

Mean Percentage of Logic Puzzles Solved Correctly by Sleep Condition

Condition

Puzzle Accuracy (%)

Undisturbed Sleep (Control)

82

NREM Deprivation

78

REM Deprivation

45

Discussion

These findings provide strong support for the critical role of REM sleep in memory consolidation processes underlying complex problem-solving, suggesting that the neural activity occurring during REM sleep is particularly important for integrating information and facilitating flexible, higher-order reasoning. The minimal impact of NREM deprivation compared to REM deprivation indicates that different sleep stages may serve distinct functions in cognitive processing.

Nakamura, T., Westbrook, E. L., & Chen, R. D. (2021). Differential contributions of REM and NREM sleep to complex reasoning: A selective deprivation study. Journal of Sleep Research, 30(4), 289-301.

Source 3

AI generated

Introduction

This quasi-experimental study investigated how circadian rhythm disruption associated with shift work affects cognitive vigilance and reaction time performance. The research specifically examined whether working during nighttime hours—when the body's natural circadian clock signals sleep through increased melatonin release—impairs psychomotor performance compared to working during typical daytime hours.

Participants

  • Total N: 100

  • Gender Breakdown: 78 female, 22 male

  • Age Info: Mean age = 34.2 years (SD = 7.8), range 23-52 years

  • Recruitment: Participants were recruited from three metropolitan hospitals through nursing department email listservs and staff meeting announcements; nurses were required to have worked their current shift pattern for at least 6 months to be eligible

Method

This quasi-experimental study compared cognitive vigilance between two naturally occurring groups of hospital nurses based on their established work schedules. The study utilized a between-subjects design where the independent variable was work shift schedule (permanent day shift vs. rotating night shift). Testing occurred in a quiet room adjacent to the nursing station at each hospital to standardize environmental conditions.

All participants completed testing during the final hour of their 12-hour shift to capture end-of-shift vigilance levels. Day shift nurses were tested between 6:00-7:00 PM, while night shift nurses were tested between 6:00-7:00 AM. Upon arriving at the testing room, participants first completed a brief demographic questionnaire and sleep diary reporting their sleep duration over the past 72 hours. They then completed a 10-minute psychomotor vigilance task (PVT) presented on a standardized computer display. During the PVT, participants monitored a blank screen and pressed a response button as quickly as possible whenever a visual stimulus (red circle) appeared at random intervals between 2-10 seconds. Reaction times were recorded in milliseconds for each of the 85 trials.

The dependent variable was mean reaction time in milliseconds on the psychomotor vigilance task (PVT). Reaction time was operationally defined as the interval between stimulus onset and button press response. Responses faster than 100ms were classified as anticipatory errors and excluded, while responses slower than 500ms were recorded as attentional lapses.

Permanent Day Shift: 50 nurses who worked exclusively 7 AM to 7 PM shifts for at least the past 6 months, maintaining a typical diurnal schedule aligned with natural circadian rhythms

Rotating Night Shift: 50 nurses who worked 7 PM to 7 AM shifts on a rotating basis (minimum 4 night shifts per week for at least 6 months), experiencing chronic circadian misalignment

Results

  • Night shift nurses demonstrated significantly slower mean reaction times (M = 380ms, SD = 52ms) compared to day shift nurses (M = 240ms, SD = 38ms), representing a 140ms difference in psychomotor vigilance

  • Night shift nurses also exhibited significantly more attentional lapses (responses >500ms) with an average of 8.3 lapses per session compared to 1.7 lapses for day shift nurses

  • Self-reported sleep duration over the previous 72 hours was significantly lower for night shift nurses (M = 14.2 hours) compared to day shift nurses (M = 19.8 hours)

An independent samples t-test revealed a statistically significant difference in reaction times between groups, t(98) = 15.32, p < .001, Cohen's d = 3.07, indicating a large effect size

Mean Reaction Time on Psychomotor Vigilance Task by Shift Type

095190285380Day Shift (7 AM - 7 PM)Night Shift (7 PM - 7 AM)
Day Shift (7 AM - 7 PM)
Night Shift (7 PM - 7 AM)
X-axis: Work Shift Condition | Y-axis: Mean Reaction Time (ms)

Mean Reaction Time on Psychomotor Vigilance Task by Shift Type

Condition

Mean Reaction Time (ms)

Day Shift (7 AM - 7 PM)

240

Night Shift (7 PM - 7 AM)

380

Discussion

These findings demonstrate that circadian rhythm disruption from night shift work substantially impairs psychomotor vigilance, likely due to elevated melatonin levels during nighttime hours signaling the body to sleep while nurses must remain alert. The results have important implications for patient safety, as the 140ms slower reaction time observed in night shift nurses could meaningfully impact response to medical emergencies and critical decision-making during overnight care.

Thornton, R. M., Vasquez-Ruiz, D., & Chen, S. K. (2022). Circadian misalignment and psychomotor vigilance decrements in rotating shift nurses: A multi-hospital investigation. Journal of Occupational Health Psychology, 27(3), 284-296.

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FRQ Directions
Free Response Question Practice

This practice environment simulates the AP AP Psychology Free Response Questions section. Here are some guidelines:

  • Read each question carefullybefore responding. Pay attention to command verbs like "identify," "explain," "analyze," or "evaluate."
  • Use the timer to practice time management. You can pause, restart, or hide the timer as needed.
  • Mark for Review if you want to come back to a question later.
  • Your responses are saved automatically as you type. You can also use the drawing tool for questions that require diagrams or graphs.
  • Use the toolbar for formatting options like bold, italic, subscript, and superscript.
  • Navigate between questions using the Previous and Next buttons at the bottom of the screen.

Tip: Answer all parts of each question. Partial credit is often available, so even if you are unsure, provide what you know.