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Experimenter Expectancy Effect + solutions
ex. Clever Hans (the horse that could do math)
A cognitive bias that occurs when a researcher knows what condition participants are in and therefore intentionally or unintentionally manipulates an experiment, thus impacting the findings.
Experimenter treated participants/data differently because they knew the expected outcome of the study
threat to internal validity
another ex. maze bright / maze dull rats → when a group of grad students are told this group of rats is smart/dumber they’ll treat them in a way that’ll result in that
Solutions:
a “double blind” study - experimenter & participant doesn’t know which one is which condition
automated instructions (ex. instructions are written down & shown)
all conditions run simultaneously - all participants are given the conditions and asked to start at same time
Demand Characteristics
any feature of an experiment that might inform participants of the purpose of the study
threat to internal validity
Participants might try to help/hurt you (we want ppl to behave naturally)
Be the “good participant” (behave how they think the researcher wants them to behave)
Mess up the results (purposely do smtg they normally wouldn’t do to harm the study)
Social desirability (i don’t want researchers to think Im a certain way and so I hide that part of myself)
Deception
Often, we deceive subjects about the real purpose of a study
“unrelated tasks” (filler tasks - make them do things that have nothing to do with it)
use of confederates or cover story (smn on research team that is pretending to be a participant
solomon asch studies (line study)
milgram’s obedience study ( learner, teacher, shocks)
attempt to avoid demand characteristics
→ not minimal risk
→ participants can get suspicious
→ *critical to debrief after study is finished
Straightforward Manipulation (of IV)
Simple & easy:
just present participants with something for the IV (ex. writing, pictures, video, etc) that might influence the DV
no deception
ex. manipulate mood with music, a video, etc
Staged Manipulation
Trying to indirectly elicit a state
ex. elicit frustration by giving people an impossible task
ex. elicit anger by having confederate insult a participant
Measuring Variables
Variables of interest in correlational designs
DV in experimental designs
Self-report - asking ppl about their attitudes/feelings
Behaviours & Responses - can measure how often ppl are drinking, their reaction times, etc
Physiological - HR, pupil dilation, BP, etc
Ceiling & Floor Effects
Ceiling Effects:
all participants are at maximum performance so even if the IV causes differences in the DV, the groups don’t look any different → you can’t tell if there’s an effect of the IV on the DV
ex. trying to see if music effects math test results but all the questions are smtg like 1+1
Floor Effects:
Participants are all at minimum performance on DV, so you can’t see an effect of the IV on the DV
ex. trying to see if music effects math test results but all the questions are calculus and the participants are middle schoolers
Strength of IV
Strong manipulation - can cause big changes in DV
ex. DV = sense of self-efficacy
you were rejected by all the universities you applied to ! vs you won 4-year scholarships to every university you applied to
weak manipulation - may cause small changes in DV
good at making fine distinctions in DVs, but usually can’t create big effects
ex. DV = sense of self-efficacy
you got a B+ in PSYC218 vs you got a C- in PSYC 218
better to use repeated measures when using this because there’s more room for error when using weak (repeated removes systematic error)
there’s more room for error because the variability is larger
Sensitivity of DV
tough - something that won’t likely change
ex. views on political leaders
sensitive - more sensitive to whatever the manipulation might be
ex. should Mark Carney be re-elected as Canada’s PM? 1 to 10, disagree to agree
ex. your spouse forgot to buy milk
tough - would you divorce your spouse yes or no
sensitive - how would you rate your level of marital satisfaction 1-10
Which to use? (strength of IVs & Sensitivity of DVs)
when you dk anything about relationship its best to use strong IV & sensitive DV
use a tough DV when you know its going to be hard to change
Survey Research Basics
You might need to ask your participants some questions
to analyze & understand trends
for correlational research
as the DV in an experiment
as a manipulation check in an experiment
you have to consider:
What questions will you ask and how will you word them? How will participants respond? Do you know?
important to proofread and pilot the questions
What questions will you ask (in a survey) ?
What kind of information might you need to find out from participants?
attitudes and beliefs
facts and demographics
behavioural frequencies
How will participants respond? (survey questions)

Question Wording Considerations (Survey Questions)
Simplicity - avoid jargon, abbreviations, complexity
should VCHA increase expenditures to prevent myocardial infarctions?
Avoid Double-barrelled questions
do you support free tuition and reduced healthcare?
do you feel anxious and depressed when thinking about exams?
Avoid Loaded questions
are you in favour of having your terrific instructor Mark Lam teach another term of fun-filled 217?
Avoid negative wording
do you agree that the City of Vancouver should not allow the homeless to camp on the streets?
Response sets (survey questions)
additional considerations to making surveys
a tendency to respond to all questions from a particular perspective or in a particular way rather than to provide answers to the questions themselves
solution:
use answer checks “if you’re reading this answer 4”
ask questions about the opposite
ex. survey on extraversion, ask questions like “how talkative are u” while also asking “how shy are u?'“
Social desirability (“faking good”) - Survey questions
additional considerations to making surveys
tendency for a participant to respond in the most socially acceptable way, or as “most ppl” would
more likely with sensitive topics
Open-ended questions (survey)
additional considerations to making surveys
open-ended vs close-ended
ex. tell me about your study habits. VS On avg how much time do you spend studying each week? (multiple choice)
Pros;
can get rich, creative, unexpected, and/or complex answers
identify common themes
cons:
responses may be ambiguous
participants may interpret questions in different ways
time-consuming to code