Chapter 9 Flashcards

1
Q

Are there any rules for operationalizing conceptual variables?

A

No, it depends on the variable. cost, practicality, ethical concerns. and researcher’s creativity

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2
Q

How can we implement experimental control/

A

(1) Ensuring only the IV changes across conditions (2) Avoiding alternative explanations such as demand characteristics and experimenter expectancy effects

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3
Q

How can we optimize the operational definitions of the IV and DV?

A

(1) Avoiding ceiling and floor effects (2) Appropriately pairing IV and DV

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4
Q

Demand characteristics

A

Any feature of an experiment that might inform participants of the purpose of the study or how he/she is expected to behave; a threat to internal validity

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5
Q

Hawthorne Effect

A

A participant is aware that he or she is being observed, thus performance is affected

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6
Q

Evaluation Apprehension

A

The anxiety that comes from being evaluated influences performance

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7
Q

What are the ways to avoid demand characteristics?

A

Single blind study, distractor/filler items, using deception or unobtrusive measures to disguise the actual purpose of the study, asking participants what they thought the research was about

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8
Q

Single blind study

A

Keep the participant blind to the hypothesis of the study and the treatment group they are part of

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9
Q

Distractor/filler items

A

Items included in a questionnaire measure that have little to do with the actual research question

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10
Q

Experimenter expectancy effects or Experimenter bias

A

Researcher knows what condition participants are in and intentionally or unintentionally manipulates an experiment in order to find the expected effect and confirm the hypothesis

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11
Q

Experimenter expectancy in police line-ups

A

Police may influence the eyewitness in choosing a certain suspect

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12
Q

Clever Hans effect

A

A horse named Hans taps out the answers to math equations but the experimenter provided involuntary cues through small head or eye movements for the answers

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13
Q

What are the ways to avoid experimenter expectancy effects?

A

double blind study and computer study

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14
Q

Double blind study

A

Keep both the researcher and participant blind to the hypothesis of the study or to the participant’s particular group or condition; Usually require an experimenter that administers the independent variable and another experimenter that administers the dependent variable

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15
Q

Computer study

A

Have a computer run the study to minimize the interactions between researcher and participant

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16
Q

Interaction effects

A

Various social components of the researcher/participant interaction may affect the results

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17
Q

Biosocial effect

A

characteristics of the researcher(s) can affect the behavior of the participant

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18
Q

Psychosocial effect

A

attitude of the researcher can affect the behavior of the participant

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19
Q

Ceiling effect

A

Majority of the dependent variable values approach the upper limit; The measure is too easy and everybody does well so it fails to detect difference; Little variability in scores and hard to see the effect of IV

20
Q

Floor effect

A

Majority of the dependent variable values approach the lower limit; The measure is too hard and everyone does poorly so it fails to detect difference; Little variability and hard to see the effect of the IV

21
Q

Strong vs. weak IV

A

(1) Strong IV is likely to generate a large change in the DV (2) Weak IV is unlikely to generate a large change

22
Q

High vs. Low sensitivity DV (measurement of DV or DV itself)

A

(1) Highly sensitive DV changes easily, enables us to detect small differences (2) Low sensitivity DV is resistant to change

23
Q

What are the two types of operational definitions of the IV?

A

Straightforward manipulations and staged manipulations

24
Q

Straightforward manipulation of IV

A

Operationalizations that involve manipulating the independent variable using instructions or other stimulus materials in a simple and obvious way

25
Q

Mundane realism

A

the extent to which the experiences in a study resemble closely an experience of everyday life

26
Q

Staged manipulations

A

Operationalizations of an independent variable that involve creating a complex situation that participants experience; Deception is often used to conceal the fact that
the situation is a ruse

27
Q

What are the two main reasons why staged manipulations are employed/

A

(1) Researcher may be trying to create a certain psychological state in participants (2) To simulate situations that occur in the real world

28
Q

Confederate (or an accomplice) in staged manipulations

A

May be used to create a particular social situation or administer the independent variable; Usually introduced as another participant in the experiment

29
Q

Experimental realism

A

The extent to which the experiences in a study are experienced by participants as impactful and engaging

30
Q

Manipulation strength

A

degree to which levels of an independent variable differ from each other

31
Q

Pros and cons of straightforward manipulation

A

Pros: simple and easy, very common; Cons: can be too artificial, demand characteristics

32
Q

Pros and cons of staged manipulations

A

Pros: better simulation, can avoid demand characteristics; Cons: may arouse suspicion, can be difficult to proceed as planned

33
Q

Manipulation check

A

a measure used to determine whether the manipulation of the independent variable has had its intended effect on a participant

34
Q

What are the advantages of a manipulation check?

A

(1) You can change the procedures in the actual study if the manipulation is not effective in a pilot study (2) Can determine if the independent variable is the reason for an effect/no effect on the dependent variable

35
Q

What are the ways to operationalize measured variables?

A

Self-report measure, behavioral measure, and physiological measure

36
Q

Self-report measure

A

An operationalization of a variable that involves asking people to explicitly indicate something about themselves (e.g., personality, behaviour, attitudes, typically using rating scales with descriptive anchors

37
Q

Behavioral measure

A

An operationalization of a variable that involves directly observing and precisely recording an aspect of behaviour (e.g. rate or number of times behavior occurs, duration, reaction time).

38
Q

Physiological measure

A

An operationalization of a variable that involves observing and recording a response from the body (e.g. galvanic skin response, EMG, ECG, EEG, MRI, fMRI)

39
Q

Sensitivity

A

the ability of a measure to detect differences or changes

40
Q

How can you diagnose a potential ceiling or floor effect?

A

Look for average values close to the minimum or maximum possible score

41
Q

What are the ways to avoid order effects from multiple measures?

A

(1) Present the most important measures first (2) Counterbalance the order of presenting measures or rely on complete randomization of order

42
Q

Pilot study

A

A trial run where data is collected from a few participants before the actual study but not using it as part of the official data set

43
Q

What are the advantages of a pilot study/

A

(1) Preliminary manipulation check (2) Ensure that all research team members know how the study works (3) Make minor adjustments before spending money or “real” participants

44
Q

How can observational research minimize demand characteristics?

A

The observer is hidden and unobtrusive measures are used so people are not aware that an experiment is taking place or that they are being observed

45
Q

Placebo effect

A

we are unaware whether or not the improvement in a participant’s condition is caused by the properties of the drug or by what he/she expected to feel after taking it

46
Q

Placebo group

A

a control group given the expectation of improvement through treatment in order to control for the psychological effects of receiving a treatment (e.g. participants are given an inert or a harmless substance instead of a drug)

47
Q

What are the 2 potential sources of experimenter bias?

A

(1) Experimenter may unintentionally treat participants differently depending on the condition they’re in (2) Experimenter can change the interpretation and record of behaviors for people in different conditions