Demand characteristics

Part of a series on
Psychology
Outline History Subfields
Basic psychology Abnormal Affective neuroscience Affective science Behavioral genetics Behavioral neuroscience Behaviorism Cognitive/Cognitivism Cognitive neuroscience Social Comparative Cross-cultural Cultural Developmental Differential Ecological Evolutionary Experimental Gestalt Intelligence Mathematical Moral Neuropsychology Perception Personality Positive Psycholinguistics Psychophysiology Quantitative Social Theoretical
Applied psychology Anomalistic Applied behavior analysis Assessment Clinical Coaching Community Consumer Counseling Critical Educational Ergonomics Feminist Forensic Health Industrial and organizational Legal Media Medical Military Music Occupational health Pastoral Political Psychometrics Psychotherapy Religion School Sport and exercise Suicidology Systems Traffic
Concepts Behavior Behavioral engineering Behavioral genetics Behavioral neuroscience Cognition Competence Consciousness Consumer behavior Emotions Feelings Human factors and ergonomics Intelligence Mind Psychology of religion Psychometrics
Lists Counseling topics Disciplines Organizations Outline Psychologists Psychotherapies Research methods Schools of thought Timeline Topics
Psychology portal
v t e

In social research, particularly in psychology, the term demand characteristic refers to an experimental artifact where participants form an interpretation of the experiment's purpose and subconsciously change their behavior to fit that interpretation.^[1] Typically, demand characteristics are considered an extraneous variable, exerting an effect on behavior other than that intended by the experimenter. Pioneering research was conducted on demand characteristics by Martin Orne.^[2]

A possible cause for demand characteristics is participants' expectations that they will somehow be evaluated, leading them to figure out a way to 'beat' the experiment to attain good scores in the alleged evaluation. Rather than giving an honest answer, participants may change some or all of their answers to match the experimenter's requirements, that demand characteristics can change participant's behaviour to appear more socially or morally responsible. Demand characteristics cannot be eliminated from experiments, but demand characteristics can be studied to see their effect on such experiments.

Examples of common demand characteristics

Common demand characteristics include:

• Rumors of the study – any information, true or false, circulated about the experiment outside of the experiment itself.
• Setting of the laboratory – the location where the experiment is being performed, if it is significant.
• Explicit or implicit communication – any communication between the participant and experimenter, whether it be verbal or non-verbal, that may influence their perception of the experiment.

Weber and Cook have described some demand characteristics as involving the participant taking on a role in the experiment. These roles include:

• The good-participant role (also known as the please-you effect) in which the participant attempts to discern the experimenter's hypotheses and to confirm them.^[3] The participant does not want to "ruin" the experiment.
• The negative-participant role (also known as the screw-you effect)^[4] in which the participant attempts to discern the experimenter's hypotheses, but only in order to destroy the credibility of the study.
• The faithful-participant role in which the participant follows the instructions given by the experimenter to the letter.
• The apprehensive-participant role in which the participant is so concerned about how the experimenter might evaluate the responses that the participant behaves in a socially desirable way.^[5]

Dealing with demand characteristics

Researchers use a number of different approaches for reducing the effect of demand characteristics in research situations. Some of the more common approaches include the following:

• Deception: Deceive participants about one or more aspects of the research to conceal the research hypothesis.
• Post-experimental questionnaires: For example, Rubin (2016) discusses the Perceived Awareness of the Research Hypothesis (PARH).^[6][7] This 4-item scale is usually presented at the end of a research session. In responding to the scale, participants indicate the extent to which they believe that they are aware of the researchers' hypotheses during the research. Researchers then compute a mean PARH score and correlate this with their key effects. Significant correlations indicate that demand characteristics may be related to the research results. Nonsignificant correlations provide tentative evidence against the demand characteristics explanation. Pre-experimental questionnaires can also cause demand characteristics as well as post-experimental questionnaires. A different experimenter than the one that conducted the actual experiment to the participants should distribute the questionnaires.^[8]
• Unobtrusive manipulations and measures: Conceal independent and dependent measures, so they do not provide clues about the research hypothesis.
• Have self-discipline: The experimenter must display self-discipline to obtain a valid inquiry.^[8]
• Avoid temptation: If the experiment is performed again, avoid asking the participants what they have experienced.^[8]
• The more the merrier: To avoid experimenter bias, have more than one experimenter.^[8]
• Be specific and clear: If the purpose of the experiment is not clear or ambiguous, then the participants may guess many different hypotheses and cause the data to be skewed even more.^[8]
• Double blind: Do not inform the person who has contact with the participants about the research hypotheses. This reduces the experimenter-expectancy effect.
• Minimize interpersonal contact between the researcher and the participant: Reduces experimenter expectancy effect.
• Use a between-subjects design rather than a within-subjects design: The central tendency of a social group can affect ratings of its intragroup variability in the absence of social identity concerns.^[9]

See also

Notes

Orne proposed the heuristic assumption that involved two variables of a subject's behavior:

1. Defined as experimental variables
2. Perceived demand characteristics of the experimental situation^[8]

References

This page was last edited on 28 December 2023, at 23:49