Exam #1 Flashcards

(44 cards)

1
Q

Confounds

A

Something other than the variable of interest that affects the results
e.g. exercise causes happiness but so does family, friends, location, hobbies, etc.

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2
Q

Bushman’s Study

A
  • A study that looks at the effect of catharsis on aggression
  • Different types of venting
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3
Q

Empirical journal articles

A

Original research
e.g. research studies in my lit review

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4
Q

Review journal articles

A

Analyzing and summarizing other people’s research
e.g. my lit review

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5
Q

Construct

A

The name of the concept being studied
e.g. depression

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6
Q

Conceptual definition

A

A careful, theoretical definition of the construct
e.g. a low mood or loss of pleasure or interest in activities for long periods

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7
Q

Operational definition

A

How the construct is measured or manipulated in an actual study
e.g. 10 point Ladder of Life scale

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8
Q

Diener’s conceptual definition

A

Subjective well-being, meaning well-being from a person’s perspective
e.g. happiness is equated with feeling pleasure or contentment

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9
Q

Diener’s operational definition

A

Five 7-point Likert scales (strongly disagree to strongly disagree)
e.g. on a scale of “strongly disagree” to “strongly agree”, I am satisfied with my life

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10
Q

Measured variable

A

Variable that is observed and recorded
e.g. age, gender, race

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11
Q

Manipulated variable

A

A variable that is controlled
e.g. diet, participation in class, activity after being angered. in Bushman’s study

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12
Q

Frequency claim

A
  • Describes a particular level or degree of a single variable.
  • Only one measured variable
    e.g. 75% of adults in the U.S. report being generally happy
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13
Q

Association claim

A
  • Argues that one level of a variable is likely to be correlated with a particular level of another variable.
  • At least two measured variables
  • Correlate or show contingency
    e.g. increase of exercise is related to higher levels of happiness
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14
Q

Predictor variables

A

Hypothesized causes
e.g. baking time, oven temperature

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15
Q

Outcome Variables

A

Hypothesized effects.
e.g. moisture of the cake, thickness of the cake

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16
Q

Positive association

A

The predictor variable increases and the outcome variable increases
e.g. an increase in exercise is related to higher levels of happiness

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17
Q

Zero association

A

There is no reliable relationship between predictor variable and outcome variable
e.g. an increase in exercise is not correlated to higher levels of happiness

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18
Q

Negative association

A

The predictor variable increases and the outcome variable decreases
e.g. an increase in exercise is related to lower levels of happiness

19
Q

Covariance

A

A statistic that looks at how two variables are related to each other

20
Q

Causal claims

A
  • Argues that one variable causes changes in another variable
  • Supported by experiments
  • Experiments require at least one independent (manipulated) variable and at least one dependent (measured) variable
    e.g. more consistent exercise leads to an increase in happiness
21
Q

Temporal precedence

A

A change in the mediator takes place before a change in the outcome
e.g. it shows if participants show greater happiness after exercise

22
Q

Level

A
  • Receiving one set of stimuli/environment
  • e.g. Bushman Experiment: venting
23
Q

Random assignment

A

Assigning participants to levels of the IV such that each group is as similar as possible
e.g. cards, dice, numbers

24
Q

Construct validity

A

How well the variables are measured and manipulated. Operational variables in a study are a good approximation of the conceptual variables.

25
External validity
The results generalize to some larger population
26
Statistical validity
How well does the number support the claim? How precise is the C.I. or how strong the effect is? - Whether the study has been replicated
27
Internal validity
The IV (not the confounds) is responsible for the change in the DV
28
Self-report measure
operationalizes a variable by recording people's answers to questions in a questionnaire or interview e.g. likert scale
29
Observational measure
- aka behavioral measure - Operationalizes a variable by recording visible behaviors e.g. how much dust someone has on their furniture?
30
Physiological measure
Operationalizes a variable by recording biological data e.g. cortisol levels, fMRI, eeg
31
Noir
The rich soil in which research grows
32
Nominal scale
Their levels are qualitatively distinct categories e.g. species, year at USF, favorite color
33
Ordinal scale
Ranked order e.g. first place isn't twice as fast as second place
34
Interval scale
Numerals represent equal distances between levels, but no true 0 e.g. SAT scores
35
Ratio scale
Numerals represent equal ratios and there is a true zero e.g. number of answers correct on exam- meaningful to say "twice as many"
36
Valid introspection
delivers, at best, hints about what goes on in the mind; it does not suffice to justify knowledge claims about the mind
37
Invalid introspection
does not provide a direct pipeline to nonconscious mental processes
38
Random selection
External validity within a population e.g. USF students
39
Availability heuristic
Being persuaded by what easily comes to mind e.g. being angry and vented
40
Present/present bias
Failing to think about what we cannot see e.g. cause and effects
41
Confirmation bias
Focusing on the evidence we like best e.g. algorithm on tik tok
42
Bias blind spot
Being biased about being biased e.g. "I do not have any biases" "I am a non biased person"
43
Good story bias
Being swayed by a good story e.g. Freud saying we are like machines
44
Counterfactuals
If x were different, how would y be different? e.g. everything everywhere all at once