Problem 1 Flashcards

1
Q

basic research

A

acquire general information about a phenomenon, no real-world examples

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2
Q

applied research

A

generate information that can be applied directly to a real-world problem

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3
Q

confirmation bias

A

human tendency to seek out information that confirms what is already believed

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4
Q

scouting

A

systematic research

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5
Q

trapping

A

identify factors that might effect the behavior

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6
Q

protoscience

A

science at the edges of current scientific understanding, issues and phenomena at the fringes of established science, potential to develop into true science

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7
Q

true science

A

use of scientific method to get information

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8
Q

non-science

A

lack of empirical test

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9
Q

pseudoscience

A

false science, theories put forth as scientific when they are not scientific, failures are ignored, results can’t be reproduced

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10
Q

scientific explanations

A

explanations based in the application of accepted scientific methods

  • empirical: based on evidence, objective
  • testable: should be verifiable
  • parsimonious: fewest number of assumptions/ hypotheses
  • genreal & positive
  • tentative/ falsifiable: fail to confirm
  • rigorously evaluated
  • connected with prior research
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11
Q

common-sense explanations

A

based on our own sense of the true world around us

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12
Q

belief-based explanations

A

based on belief are accepted, come from trusted source

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13
Q

pseudo-explanations

A

provide an alternative label for behavioral event

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14
Q

circular explanation/tautology

A

does not provide a true explanation but another label (instinct) for a class of observed behavior (aggression)

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15
Q

method of authority

A

use information from sources you perceive to be expert

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16
Q

rational method

A

depends on logical reasoning

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17
Q

scientific method

A

4 cyclical steps that you can repeatedly execute as you pursue the solution to scientific problem

  1. observing a phenomenon; induction: from specific observation to general statement
  2. formulating tentative explanations or statements of cause and effect; deduction: from general statement to specific predictions
  3. further observing to experimenting; trapping; design a research
  4. refining and retesting the explanations, more specific hypothesis
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18
Q

pilot study

A

miniature version of your study

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19
Q

hypothesis

A

tentative explanation for observation that can be retested

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20
Q

theory

A

plausible, scientifically acceptable explanation of some aspect in natural world

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21
Q

law

A

empirically verified, quantitative relationship between two or more variables

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22
Q

model

A

refers to a specific implementation of a more general theoretical view

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23
Q

mechanistic explanation

A

describes the mechanism (physical components), the chain of cause and effect

24
Q

functional explanation

A

describes an attribute of something (such as physical attractiveness) in terms of its function

25
quantitative theory
defines the relationship between its variables and constants in a set of mathematical formulas
26
qualitative theory
stated in a verbal rather than mathematical terms, importance & interaction of variables
27
descriptive theory
describes a relationship
28
analogical theory
explains a relationship through analogy
29
fundamental theory
model an underlying reality that produces the observed relationships among variables; more fundamental description of reality
30
roles of theories in science
understanding, prediction, organizing & interpreting research results, generating research
31
confirmational strategy
looking for confirmation of the theory's predictions
32
disconfirmational strategy
determine whether unexpected outcomes occurred
33
strong inference
tested theory can rule out other theories, which don't have to be tested again, only one alternative should remain
34
population
all people
35
sample
small, selected subgroup
36
generalization
apply findings from sample to larger population
37
random sampling
same chance of being chosen for every person in population
38
non-random sampling
individuals from specialized subpopulations; e.g. students
39
volunteer bias
volunteers differ from non-volunteers: more educated, higher intelligence, more social --> threats to internal validity using volunteer participants, can't generalize results to population --> threat to external validity
40
laboratory research
conduct research in laboratory setting
41
field research
select your participants while they are in their natural environment
42
role playing
participants are fully informed about the nature of the research & asked to act as they were subjected to a particular treatment condition
43
informed consent
informing participants about research
44
demand characteristics
knowing what study is about, behave like you think you should behave
45
anonymity
you must assure your participants that they cannot be identified as participants in your study
46
confidentiality
you guarantee the security of their responses
47
debriefing
explain methods used in study
48
dehoaxing
convince participants that deception was necessary
49
Nuremberg code
laid the ground-work for many of the current ethical standards for psychological and medical research
50
declaration of Helsinki
researchers obligated to protect the health, welfare and dignity of research participants
51
the Belmont Report
three basic principles of ethical treatment of human participants --> respect for persons, beneficence, justice
52
APA Ethical Guidelines
specify ethical responsibilities of psychologists and researchers Government Regulations: Health & Human Services guidelines for the protection of human subjects
53
institutional animal care and use committee (IACUC)
guide for the care and use of laboratory animals
54
fraud
dishonest research, potential to harm participants, damages the credibility of science and its findings - fabrication of data: altering data to look better, selecting only the best data - falsification: manipulation of research material - plagiarism: steal others' ideas - -> need for success, publish, money = trains scientists
55
theory-driven
theory --> observation (induction)
56
data-driven
observation --> hypothesis (deduction)