ch 2 - research methods Flashcards

1
Q

theory

A
  • an explanation of how facts are connected and how they can help us understand or predict things that happen.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

hypothesis

A
  • A proposed explanation for a situation, usually taking the form “If A happens, then B will be the result”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

construct

A
  • an internal attribute that can’t be directly observed but is useful for describing and explaining behaviour
  • ex: anxiety, intelligence, extraversion, etc.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

operational definiton

A
  • a way of defining and measuring a construct
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

independent variable

A
  • variable manipulated by experimenter
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

dependent variable

A
  • demonstrates the effects of the independent variable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

descriptive methods/research

A
  • make careful, systematic observations
  • can include case studies, naturalistic observations, surveys, focus groups, interviews
  • describing what’s going on with a certain group or phenomenon without trying to change or manipulate anything
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

case study

A
  • An in-depth analysis of the behaviour of one person or a small number of people
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

correlational study

A
  • A measure of the direction and strength of the relationship between two variables
  • Permit us to discuss the relationships between two variables
  • don’t allow causal claims
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

directionality problem

A
  • relates to correlational studies
  • when you know two things are correlated but you’re not sure which one causes the other
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

third-variable problem

A
  • when two things seem correlated but there’s a hidden third variable that causes both of those two things
  • relates to correlational methods
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

correlation coefficient

A
  • statistical index ranging from -1.00 to +1.00 that indicates how strongly a pair of variables are associated
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

causal claims

A
  • when you say one thing directly causes another thing to happen
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

random assignment

A
  • Each participant has an equal chance of being assigned to any condition of the study
  • Ensures that at the start of the experiment, that on average those different groups will average out on any variable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

random sample

A
  • ppl who are randomly selected from the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

confound

A
  • related to experimental methods
  • anything that may unintentionally vary along with the independent variable
17
Q

quasi-experiment

A
  • Experimental design where random assignment is not possible
  • E.g. a researcher takes advantage of pre-existing groups or conditions
18
Q

field experiment

A
  • An experiment conducted outside of a lab setting
19
Q

external validity

A
  • generalizability
  • how a study can be applied to other places/groups of people
20
Q

internal validity

A
  • causality
  • how well study established a cause and effect relationship
21
Q

reliability

A
  • The consistency of a measure
22
Q

replication

A
  • Repeating an experiment and producing the same results
23
Q

descriptive statistics

A
  • Statistical methods that organize data into meaningful patterns and summaries, such as finding the average value
24
Q

inferential statistics

A
  • Statistical methods that allow experimenters to extend conclusions from samples to larger populations
  • conclusions or predictions about a larger group based on a sample of data
25
Q

normal distribution/curve

A
  • symmetrical probability function
  • When an equal number of scores should occur above and below the mean
  • The shape should indicate that most scores occur near the mean
26
Q

WEIRD samples

A
  • western, educated, industrialised, rich, democratic samples
27
Q

open science

A
  • a scholarly movement that aims to make the research process transparent, credible, reproducible, and accessible
28
Q

hawthorne effect

A
  • people act differently when they know they’re being watched
29
Q

observer bias

A
  • when a researcher’s personal views affect how they view and collect data
30
Q

self-report bias

A
  • when people’s answers don’t fully reflect the truth bc they want to make themselves look good
31
Q

better-than-average effect

A
  • when people think they’re better than others even when it’s not true