NCEA Level 3Study designAS 91584

Experiments vs observational studies: what you can conclude

What this lesson covers

  • Only a randomised experiment supports a causal claim; an observational study supports an association.
  • Random allocation balances confounders; random selection lets results extend to a population.
Key idea

First, name the study type

  • Experiment: the researcher assigns.
  • Observational: the researcher measures.
  • Always state which one.
Worked example

An experiment

  • An invented netball club, 40 players.
  • Explanatory: the one that is changed.
  • Response: the one that is measured.
Netball study
Studyexperiment
Explanatorythe drink given
Responsesprint time
Groupsenergy drink, placebo
Worked example

An observational study

  • An invented café, 300 customers.
  • Nobody assigned the coffee.
  • Coffees a day, then hours of sleep.
Café study
Studyobservational
Explanatorycoffees a day
Responsehours of sleep
Chosen bythe customers
Key idea

Confounders

  • Linked to both variables.
  • Cannot be separated from the coffee.
  • So: an association only.
ConfounderLinked toAnd to
Shift workmore coffeeless sleep
Young childrenmore coffeeless sleep
Key idea

Random allocation

  • Groups formed at random.
  • Confounders tend to balance out.
  • A difference can be put down to the drink.
Key idea

Random selection

  • How people get into the study.
  • Chosen at random: extend to the club.
  • Selection: population. Allocation: cause.
Worked example

What each design lets you conclude

  • Allocation decides cause or association.
  • Selection decides population or sample.
AllocatedSelectedConclusion
yesyescause, population
yesnocause, the sample
noyesassociation, population
nonoassociation, the sample
Worked example

A causal claim too far

  • "Coffee causes poor sleep": too far.
  • No random allocation, confounders remain.
  • State the type, claim an association.
Too farJustified
Study typenot statedobservational
Claimcoffee causes itan association
Reasonnone givenno random allocation
Key idea

Why a placebo

  • Looks and tastes the same, nothing active.
  • Expecting a boost can change the result.
  • Both groups share the expectation.
Key idea

Single and double blind

  • Single: players do not know.
  • Double: the timers do not know either.
  • Explain it in this study, not just name it.
Means
Placeboidentical, inactive
Single blindplayers do not know
Double blindtimers do not know too
Worked example

Order effects, not "patterns"

  • Both treatments, one after the other.
  • Fatigue, practice, boredom.
  • Name it and say how it changes the response.
Order effectResult
Fatigueslower second run
Practicefaster second run
Boredomless effort later
Worked example

Randomise the order

  • Half, at random, have the drink first.
  • Order effects hit both drinks alike.
  • Reduced, not removed.
Plan
Half, at randomenergy drink first
The other halfplacebo first
Order effectsreduced, not removed
Key idea

Where the marks are

  • Achieved: study type and variables.
  • Merit: why the design choice matters here.
  • Excellence: why and how, and the inference.
Summary

What to take away

  • Allocation decides cause; selection decides who it applies to.
Experimentresearcher assigns
Observationaljust observes
Allocationbalances confounders
Selectionextends to population
Cause needsrandom allocation
Order effectsrandomise the order
Your turn

Your turn: four questions

  • Pause here and answer each one.
  • Name the study type every time.
  • Full sentences, in context.
StudyFind
1sport v attendancestudy type
2volunteers, allocatedconclusion
3taste test, two drinksorder effect
4pain tablet trialwhy blind?
Show answer

1. Observational: students chose whether to play sport. Explanatory: plays sport or not; response: attendance. Only an association can be claimed. 2. An experiment, so a causal claim for these volunteers, but not beyond people like them: they were not randomly selected. 3. The first drink can affect the taste of the second (or tasters tire); randomise which drink comes first for each person. 4. A placebo gives both groups the same expectation; blinding stops knowledge of the treatment changing the pain reported or recorded.

Worked example

The answers

  • Observational: an association only.
  • Cause, but only for these volunteers.
  • Carry-over taste: randomise the order.
  • Placebo and blinding even out expectations.

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