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A Level · Cambridge (CIE) · 9990

Evaluate shift work and working-time arrangements

Compare rotating shifts, on-call work and flexitime, then use Gold et al.’s nurse survey to evaluate sleepiness and accident claims.

Cambridge International AS & A Level Psychology 9990 · Organisational Psychology · 2028–2030 · Version 1 · OPTION-OR-4.4.2

Original StudyForA teaching mapped to Cambridge 9990 Organisational Psychology for 2028–2030. Example studies are independent learning support, not Cambridge material or official mark schemes. Findings are limited to their samples, measures and settings.

Before you begin

  • Use the study design and sample to decide how far a workplace finding can be generalised. A change in productivity, satisfaction, reported incidents or accidents is a different outcome and needs its own evidence.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

What distinguishes on-call work from flexitime?

What you will learn

  • Rapid/slow rotating shiftwork, on-call work and flexitime
  • Health and accident effects of shiftwork; Gold et al. (1992)

Different schedules create different demands

Shiftwork schedules cover work outside a regular daytime pattern. In rotating shiftwork, a person changes between shifts; rapid rotation changes the pattern over a short cycle, while slow rotation holds each pattern for longer. The pace and direction of rotation, rest between shifts and individual sleep routines can all matter.

On-call work requires a worker to be available to respond if needed. Uncertainty about whether and when work will begin can affect rest and planning, even if the worker is not called in every time. Flexitime allows some choice over start or finish times within agreed operating requirements; it does not necessarily reduce total hours or workload.

A schedule should be evaluated in context: hours, consecutive shifts, rest opportunities, predictability, commuting, staffing and worker choice. The label ‘flexible’ or ‘rotating’ alone does not show whether the arrangement is healthy or safe.

Sleep and fatigue can connect schedules with risk

Working when alertness is low may affect attention, reaction and recovery. A plausible pathway from schedule to safety is not proof that a schedule caused a particular accident. Health, family demands, task hazards, commute length and workload may also contribute.

Gold et al. (1992) surveyed 635 nurses in Massachusetts. Compared with day workers, rotating-shift nurses reported more sleep disruption and were more likely to report nodding off at work or while driving to or from work. The study reported about twice the odds of sleepiness-related accidents or errors among rotators.

The survey was observational, and sleepiness and accidents were reported by participants. It can identify an association and a practical concern, but it cannot establish that shift pattern alone caused an accident. The sample of nurses in one region also limits generalisation to other jobs and schedules.

Design working time around recovery and safe coverage

Practical evaluation should examine actual hours and rest, not only the posted rota. Check whether workers can recover between shifts, whether on-call demand disrupts sleep, and whether flexitime increases or reduces control. Ask workers about schedule predictability and record fatigue-related events with appropriate confidentiality.

A fair comparison can track sleep or fatigue reports and objective safety indicators across comparable schedule periods, with baseline information and repeated measures. Do not treat an absence of reported accidents as proof of safety if reporting is weak. A schedule change should not shift risk onto workers or make safe staffing impossible.

No single rota is best for every worker and role. Use worker consultation and local evidence, and distinguish a study association from a tested intervention.

Sources for this lesson

Pause and explain

Which conclusion best matches Gold et al. (1992)?

Put the idea to work

Worked example

A hospital says a new rotating rota caused a rise in medication errors because a nurse survey found more fatigue on rotating shifts. Evaluate the claim.

Show the worked solution
  1. Gold et al. found an association in a survey of nurses, including reported sleep disruption and sleepiness-related incidents.
  2. The study was observational and relied on reported experiences, so it cannot isolate the rota as the cause of every error.
  3. Check workload, staffing, rest, task conditions and incident reporting, then monitor outcomes after a rota change.

Answer The study supports taking fatigue seriously, but the survey cannot show that the rota caused this hospital’s errors. The hospital should review actual rest periods, staffing and task demands, examine near-misses as well as errors, and evaluate repeated measures after a carefully planned change.

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Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.

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From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

A worker receives unpredictable on-call messages during the night. Explain one possible effect and one piece of evidence needed before claiming harm.

Give me a hint

Distinguish a plausible sleep mechanism from an outcome actually measured.

Compare my reasoning
  1. Unpredictable availability may interrupt rest or make sleep less predictable.
  2. The effect may depend on how often calls occur, actual hours, worker circumstances and recovery time.
  3. Collect repeated schedule and fatigue data and compare them with safety or wellbeing outcomes; do not infer accidents from the schedule label alone.

Night alerts could disrupt predictable rest, but frequency and the person’s actual work and recovery matter. Record calls and hours over time and compare fatigue and safety indicators before concluding that the arrangement caused harm.

Look for these in your work

  • Mechanism explained
  • Individual and schedule variation considered
  • Evidence required stated
2 · Independent

A manager argues that slow rotation must be healthier than rapid rotation because workers adapt to each shift. Evaluate the reasoning.

Give me a hint

Identify what the claim assumes and what other schedule features need measuring.

Compare my reasoning
  1. The argument assumes workers fully adapt and treats adaptation as the only relevant outcome.
  2. Rapid and slow patterns differ in duration, but rest between shifts, direction of rotation, hours and personal sleep also matter.
  3. Compare actual fatigue and safety outcomes across comparable workers or periods; do not infer a universal ranking from the labels.

A longer shift block may allow some routine adjustment, but the claim needs evidence and ignores rest, sequence, workload and individual differences. Evaluate comparable schedules with repeated fatigue and safety measures rather than treating one rotation speed as always healthier.

Look for these in your work

  • Assumption identified
  • Other schedule features included
  • Universal conclusion avoided
3 · Transfer

Propose a cautious evaluation of a hospital rota change using Gold et al. as background evidence.

Give me a hint

Choose a baseline, track fatigue and safety separately, and note limits of self-report.

Compare my reasoning
  1. Record baseline rota, hours, rest opportunities and fatigue reports before the change.
  2. After implementation, repeat the same measures and track incident and near-miss records separately from self-reported sleepiness.
  3. Consider staffing, task mix and reporting changes; consult workers and protect confidential health information.

Use repeated before-and-after measures of actual schedules, fatigue reports and safety records, with a comparable ward if feasible. Document staffing and task changes, consult workers and keep reports confidential. Any change remains subject to confounding and local context.

Look for these in your work

  • Baseline and follow-up planned
  • Self-report and safety records distinguished
  • Confounds and confidentiality addressed

Common mistakes

  • Treating fast or slow rotation as automatically safer
  • Confusing flexitime with reduced hours or workload
  • Saying Gold et al. experimentally assigned nurses to shifts
  • Turning reported association into a causal explanation
  • Ignoring sleep, commute, staffing and other safety conditions
Recall without your notes

What can you explain now?

What can Gold et al.’s survey support, and what can it not prove?

Compare with the explanation

It supports an association between rotating shifts and reported sleepiness-related problems in this nurse sample; it cannot isolate shift pattern as the cause of accidents.

Name the design before making a causal claim.

After trying it yourself, choose your next review. This is your self-assessment.

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Make it stick

Compare rotating shifts, on-call work and flexitime. Then explain why a survey association between shiftwork and fatigue is not by itself proof of causation.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Psychology

Course scope and assessment

Seven original lessons map all 15 AS research-method and methodological-concept sections to explained Guided, Independent and Transfer practice. All 12 compulsory AS core studies have original study-specific teaching and staged practice; five additional A Level methodology lessons cover research design and validity. All 15 Clinical, all 15 Consumer (2.1.1–2.5.3) and all 15 Health (3.1.1–3.5.3) Psychology sections link to original teaching and staged practice. All 15 Organisational Psychology sections 4.1–4.5 now have original teaching and explained staged practice; the six new 4.4–4.5 lessons bring the planning map to 92 of 92 indexed sections. Consumer lessons cover physical and psychological environments; decision models, heuristics and mistakes; packaging, selling and buying; advertising, self-monitoring, product placement, brand recognition and slogans. Evaluation boundaries are explicit: studies use particular products, samples, tasks and settings; gaze, recall, self-report, EEG indices, ratings, choices and purchases are different outcomes. Health evidence is bounded: Laba et al. measured hypothetical preferences; Riekert and Drotar raise a non-response concern; Chung and Naya's cap tracked openings, not swallowing; Chaney et al. was a short caregiver-reported pilot; Yokley and Glenwick examined immunisation attendance in one public-health setting. MacLachlan et al. report one patient, not a controlled treatment effect; Brudvik et al. compared separate child, parent and physician ratings in one emergency department. Chandola et al. found a cohort association; Wang et al. measured responses during a monitored arithmetic task; Evans and Wener observed commuters; Bridge et al. found mixed self-rated outcomes in radiotherapy. Janis and Feshbach measured short-term self-reports in one school; Lewin et al. tested a rehabilitation package, not information alone. Tapper et al. and Fox et al. studied bounded school and worksite programmes; incentive effects do not establish transfer or rule out reporting effects. Weinstein measured comparative expectations, while Seligman’s framework is conceptual and Shoshani and Steinmetz used a school-level comparison. These findings do not establish universal health effects or diagnose individuals. Need-theory examples use a child measurement study, not a workplace test; SMART is a practical checklist, not a motivational theory. Landry et al. compared reward framing with student volunteers in a lab; this does not establish universal effects in workplaces. Cuadrado et al. (2008) measured undergraduate evaluations of presented leaders, not workplace performance or hiring; this does not establish a universal gender effect. The historical 1995 Munchausen criteria are not a current diagnostic checklist. Cambridge’s 2028–2030 Reference List treats Oruč et al. (1997) as an example of genetic explanation although its participants had bipolar I; gambling disorder is listed in Cambridge’s Clinical topic but classified under addictive behaviours in ICD-11. Candidates choose two options, but all four remain listed so schools can select a route. The 92-section count is a planning index, not a Cambridge score. Remaining work is deeper coverage review, separate-year syllabus reconciliation, timed-paper practice and human subject-expert review. The separate 2027 and 2024–2026 syllabuses are not reconciled into this route. Practice is not official grading, a timed-paper simulation or human subject-expert review.

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