Exam 1 - Ch. 2 Flashcards

1
Q

Demand characteristics

A

aspects of an observational setting that cause
people to behave as they think someone else wants or expects

A problem w/ Descriptive studies

E.g. Participant tries to be helpful and gives the answer that they think the experimenter wants

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2
Q

Observer bias

A

Systematic errors in observations that occur because of
an observer’s expectations
-“Expectation influences reality”

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3
Q

double-blind observation

A

The experimental
condition is hidden from both the observer
and the person being observed

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4
Q

Variable

A

Something that can vary

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5
Q

Correlational studies

A

examine how variables are related
-cannot establish casual relationship
described by correlational coefficient “r”

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6
Q

Correlation issues

A
  • They do not generalize

- correlation does NOT mean causation (again no strength in creating casual relationships)

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7
Q

Directionality problem

A

There’s an ambiguity in the direction of causality
in a correlational relationship.
(i.e. does variable A cause B, or does variable B cause A)

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8
Q

Empiricism

A

Belief that accurate knowledge can be acquired through observation

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9
Q

Scientific method

A

a procedure for finding facts by using empirical

evidence

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10
Q

Theory

A

hypothetical explanation of a natural phenomenon

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11
Q

What makes a good theory?

A

Falsifiable
Parsimonious (AKA simple)
Supported with Data

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12
Q

Occam’s razor

A

as long as a simple theory describes the data, there is

little need to develop more complex theories

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13
Q

Hypothesis

A

a specific, testable prediction, narrower than the theory it is based on

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14
Q

Replication

A

Doing something again

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15
Q

Why is research needed?

A

Some observations are not possible
• (e.g. germs are too small but they are there)

  • Observations are not always reliable or we see things incorrectly
  • (e.g. horse galloping)
  • Some observations are false
  • (e.g. earth appears to be flat)

• People disagree on their observations

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16
Q

Problems specific to human research

A

Complexity : people are complicated

  • Variability : people have lots of variations
  • Reactivity : People act differently when the know that they are being observed (Hawthorne effect)
17
Q

Hawthorn effect

A

presence of an observer may alter the behaviour being

observed

18
Q

Descriptive research

A

involves observing and objectively describing
behaviour

  • Describes a phenomenon, may generate predictions
  • Researcher does not have control, and cannot provide an explanation for the phenomenon.
  • Limited ability to describe behaviour and predict future behaviour
19
Q

Examples of Descriptive research

A

A) Case study : an examination of a single unusual person or organization
-not generalizable

B) Naturalistic observation: systematic coding of overt behaviour of people in their natural environment
-E.g. hungry shoppers buy more impulse items (Gilbert et al. 2002)

C) Self-reports and interviews : directly asks people about themselves, thoughts, actions and feelings
ex. Surveys, interviews

20
Q

Third variable problem

A

Instead of variable A producing variable B, it is

possible that a third variable, C, is responsible for both A and B

21
Q

Spurious correlation

A

A correlational relationship where a connection between two variables that appears causal but is not.
-Due to the 3rd variable problem

22
Q

Controls for 3rd variable issue

A

Matched sample technique : participants in two groups are identical in terms of a third variable.

Matched pairs technique : each participant is identical to one other participant in terms of a third variable.

*You still can only control one

23
Q

So why use correlation?

A
  • Correlation studies are used for ethical reasons
  • Unethical to get people to start smoking or drive while testing
  • Correlation allows predictions to be generated
24
Q

Experiment

A
researcher manipulates (changes) one variable to measure the effect on the second variable
Needed to establish casual effects
25
Q

Independent variable

A

the variable that gets manipulated

26
Q

Dependent variable

A

the variable that gets measured

27
Q

Operational definition

A

qualify (describe) and quantify (measure)

variables so the variables can be understood objectively

28
Q

Instrument

A

measures the dependent variable

29
Q

What makes a good measurement?

A

Validity : the measurement is objective.

Reliability : the instrument produces similar measurements every time it measures the same thing

Power : the instrument can detect even small differences in magnitudes of the measurement

30
Q

Between-group design

A

2 seperate groups

  • Experimental group : participants receive treatment
  • Comparison (control) group : participants do not receive the treatment
31
Q

Within-group (Repeated measures) design

A
  • Participant acts as their own control

* Each participant receives both treatment and control

32
Q

Confound

A

anything that affects the DV that may unintentionally vary
between the study’s different experimental conditions

*IN AN EXPERIMENT ONLY