Research Methods Flashcards

1
Q

Most people think about human abilities in one of two ways:

A

-Fixed mindset
-Growth mindset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Fixed mindset

A

Human abilities and attributes,
such as intelligence or personality, are fixed
and cannot be changed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Growth Mindset

A

Abilities are malleable and can
be developed—through practice, feedback, and effort

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Fixed Mindset

Our genes give us

A

different strengths and weaknesses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Growth Mindset

Our brains are highly

A

adaptable and can change

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

When people have a fixed mindset:

A

-Lower effort and willingness to approach
challenges
(believe if one is not smart and have to work hard, how smart can you really be (mindset))

-Negative responses to setbacks
(believe one can never improve)

-Worse academic performance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

When people have a growth mindset:

A

-Higher effort and challenge seeking (believe one can grow and learn)

-Persistence in the face of obstacles and
failures (learning from mistakes)
-process errors more deeply at a
neurological level

-Better academic performance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

True or false:

1.To change people’s behaviour toward members of other racial groups, we must first change their attitudes.

  1. The best way to ensure that a desired behaviour will persist is to reward the behaviour every time it occurs.
  2. Fortunately for babies, human beings have a strong maternal instinct.
  3. By giving a young baby lots of extra stimulation (e.g., mobiles and musical toys), we can markedly increase its
    intelligence.
  4. In love and friendship, more often than not, opposites attract one another
A

All false!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Hindsight Bias and Overconfidence

A

-The tendency to believe, after learning an outcome, that one would have foreseen it
- “I-knew-it-all-along” phenomenon

Examples:
-Monday morning quarterbacking
-Predicting tragedies
-Reviewing multiple choice tests

-We become overconfident in our power of deduction – intuition
-Looking at things scientifically can help separate reality from
illusion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

The Scientific Method

A

-Observations
-Development of theories
-generate hypothesis
-design a research study
-collect evidence (data)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Theory

A

Set of principles that explain, organize, and predict events
− What is known about this behaviour already?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Theory of
Catharsis

A

-Negative feelings build up
and create pressure if not
vented
-If this tension continues to
build, people will ’explode’
-Releasing emotions
decreases the pressure or
tension

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Hypothesis

A

A testable prediction that is based on (derived from) your theory
-What evidence would confirm my theory? Disprove it?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

People who express their
anger will behave less
aggressively than those
who do not express their
anger is an example of a

A

hypothesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Operational definitions

A

A clear statement of the procedures (operations) used to define research variables in a study
-Describes how we will measure our variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Operational Definitions Example

A

Variable: Express anger
Operational definition: Punch a punching bag
(or other physical actions or increased volume)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Operational Definitions Example:

Which one is the variable and the operational definition?

-aggression
-intensity of noise blasts

A

Variable: aggression
Operational definition: intensity of noise blasts
(or aggressiveness, tone of voice)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Descriptive approaches (3 types)
(describes the characteristics of something)

A

-Surveys / Questionnaires (self-report)
-Naturalistic Observation
-Case Studies

These methods describe behaviour - they cannot explain it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Naturalistic observation

A

-Observe and record behavior as it naturally occurs
-No attempt to control the situation

-e.g. observing a couple fight instead of asking them how they fight

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

-Observation technique in which one person is studied in depth in the hope of revealing universal principles
-Issues?

A

Case studies
(an in depth exploration of one person to draw conclusions about them)

-issue is that things often cannot be generalized

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Correlational research

A

-Measuring the degree to which two variables are related or predict one another (co-related)

⎻ Positive correlation: The variables tend to occur together
⎻ Negative correlation: The variables tend to occur at opposite times

20
Q

e.g., Number of hours of sleep and number of arguments with romantic partner

is an example of

A

correlational research

21
Q

Correlational research

The variables tend to occur together

A

Positive correlation (high levels of one correlates with high levels of the other)

22
Q

Correlational research

The variables tend to occur at opposite times

A

Negative correlation (high levels of one are correlated with low levels of the other)

23
Correlational research Correlation Coefficient
is a statistical measure of the relationship between two variables
24
Correlation Coefficient
r = + 0.37
25
r = + 0.37
Correlation Coefficient: + indicates direction of relationship (positive or negative correlation) 0.37 (magnitude) indicates strength of relationship 0 = no relationship +/-1 = strong -1 = stronger negative correlation close to 1 = high correlation where 1.0 is a perfect correlation
26
Correlation Example: Sleep Deprivation and Arguing What does a r= 1.0, 0,0, or -1.0 graph look like? (the x axis is the number of arguments and the y axis is the hours of sleep)
1.0: straight diagonal line pointing to the right direction 0.0: points are scattered -1.0: straight diagonal line pointing to the left direction
27
The problem with correlation: Should ice cream be blamed for murder?
-some things that occur together are not always a causal effect -correlation does not always mean it is causing the other -does not mean ice cream causes murder just because more ice cream sales just happen at a time where there are higher rates of homicide -reasons could be that both events happen in the summer (more heat makes people more likely to cause conflict or be violent, but also people buy ice cream in hot weather)
28
Correlation is not Causation
# of Any combination of 3 things could be happening.... 1. Sleep deprivation could cause arguing (X causes Y) 2. Arguing could cause sleep deprivation (Y causes X) 3. Third variable (e.g. stress) could cause both (Z causes X and Y)
29
Requirements for a causal relationship
-relationship -causal variable happens first -should not be a 3rd variable
30
Correlation is not Causation More Examples:
-The more electrical appliances people have in their homes, the more likely they to use birth control -Couples who decorate the Christmas tree together are more satisfied with their relationship -Children who are read to as newborns do better in elementary school -Adults who regularly do crossword puzzles have better memories
31
Experimental Research
-A means of determining the cause of events -If we think one variable causes changes in another, we manipulate that variable to its effects -Expose people to either high or low levels of Variable X -Measure change in Variable Y there is a dependant variable and a dependant variable
31
Independent Variable (IV):
Factor that we think causes something else to happen. We control (manipulate) the level of this variable. e.g., Sleep deprivation
32
Dependent Variable (DV):
Outcome that we think depends on the level of the IV. We measure the level of this variable. e.g., Conflict
33
What problem does manipulation of the independent variable do and the random assignment to conditions?
-Manipulation of IV solves directionality problem (which came first?) -Random assignment to conditions solves 3rd variable problem
34
Experimental Research -Independent variable (random assignment to conditions) or dependent variable?: -High/low sleep deprivation -Average # of arguments
-Independent variable (random assignment to conditions): High sleep deprivation and Low sleep deprivation -Dependent variable: Average # of arguments
35
Choosing a Method Why not always use an experiment?
-not ethical to test some variables, such as binge eating or sleep deprivation -not always possible to randomly assign -people will know a variable is manipulated -time intensive -experiments are costly -hard to collect large sample -not interested in causation (depends on research goals)
36
What Makes ‘Good’ Research? (5 requirements)
-objective measurement -generalizable -unbiased -made public -replicated
37
What Makes ‘Good’ Research? (5 requirements) Objective measurement
measures are reliable (consistent) and valid
38
What Makes ‘Good’ Research? (5 requirements) Generalizable
-Participants are representative of the population -Procedure is relevant outside the laboratory
39
What Makes ‘Good’ Research? (5 requirements) Unbiased
-Researchers do not influence the results -Participants do not intentionally influence the results
40
What Makes ‘Good’ Research? (5 requirements) Made Public
-Methods and results are disseminated -Methods and results are peer reviewed
41
What Makes ‘Good’ Research? (5 requirements) Replicated
-Studies are repeated (directly or conceptually) -Similar results are obtained
42
Reliability
-A measure’s ability to produce consistent results ⎻ Can we count on it to behave consistently? -Test-retest reliability -Interrater reliability
43
Reliability Test-retest reliability
Should be getting same results/scores always
44
Reliability Interrator reliability
Person doing the measurement should not affect the results -e.g. grading essays are subjective and not reliable
45
Construct Validity
The extent to which a test/assessment actually measures what it says it does -e.g. Graduate Record Exam – determines aptitude and expected success in graduate school Explanation: -the GRE is not a good way to predict how one does in grad school -same score does not mean accurate, consistency does not mean accuracy
46
Generalizability (External Validity)
-A population is everyone/everything we are interested in -A sample is a limited number of people from the population -Does our sample accurately represent the population of interest? ⎻ WEIRD samples WEIRD" is an acronym coined by Henrich, Heine, and Norenzayan: samples that are drawn from populations that are White, Educated, Industrialized, Rich, and Democratic
47
Generalizability (External Validity)
are the experiment’s procedures relevant to the outside world? Examples: -memory -remembering a list of words that start with a -remember a series of grocery lists -remember a stream of faces