1definition and limitations: authority
definition: someone influential says so
limitations: if the authority figure declines questions, thought is put to a halt
2definition and limitations: common sense
definition: what everyone knows (or should know)
limitations: often contradictory and confirmation bias
3definition and limitations: intuition
definition: feeling of knowing
limitations: conformation bias, overconfidence, & hindsight bias
4definition and limitations: rationalism
definition: knowledge from reasoning/logic (by deduction)
ex: 1) 2.0 needed to graduate 2) person graduates thus person had at least a 2.0
limitations: logically valid argument does not equal accurate knowledge
5definition and limitations: empiricism
definition: knowledge acquired through experience/observation
limitations: personal experiences are ignored in science because its selective and subject to: confirmation bias, availability heuristic, placebo effects
6confirmation bias
tendency to focus on (remember) things that fit (support) your current beliefs
7availability heuristic
tendency to over estimate the frequency of unusual or memorable events
8what problems do anecdotes/testimonials pose?
they are selective & subject to confirmation bias, availability heuristic, placebo effects
9what are the distinctive characteristics of the scientific method?
-solvable problems
-systematic empiricism: structured data collection
-publicly available information: replication + peer review
-claims and predictions falsifiable
10systematic empiricism
-data collected to remit evaluation of a claim or hypothesis
-structured data collection
11replication
provide sufficient information so others can reproduce your methods (and potentially your results)
12placebo effect
tendency to report that it works because you expect it
13falsification
research strategy that emphasizes putting theories to the test by trying to disprove or falsify them
14characteristics of pseudoscience
-adopts scientific language
-if challenged, divert by shifting burden of proof
-argues by exclusion = something currently unexplained
-complains of shunning because not mainstream
-misuses rules of evidence
15what does "publicly available information" entail?
replication and peer review
16institutional review board (IRB)
review proposals for conducting human research
17what are the levels of IRB review?
-exempt: no (or minimal) risk
-expedited: minimal or low risk/stress
-full: high risk; use of vulnerable populations
18institutional animal care and use committees (IACUCs)
review proposals for conducting non-human vertebrate animals
19what are the three r's of ethically responsible animal research?
reduction: use small number of animals as possible
refinement: use methods that minimize pain
replacement: use invertebrates, computers, etc. instead
20what are the two general guidelines for the ethical treatment of human research participants?
1) right to safety: freedom from physical harm
2) right to respectful treatment
21voluntary participation
not coerced; free to withdraw
22informed consent
know what participation will entail prior to decision (consent) to participate
23the right to privacy entails what?
confidentiality and anonymity
24debriefing
information about study provided after participation or after study's completion
25dehoaxing
revealing any deception
26desensitizing
discuss participants behavior with him/her and any negative reactions
27what is the difference between confidentiality and anonymity?
confidentiality: data of personal, identifiable nature not made public without consent
anonymity: identity unknown or data and identity kept separate
28fraud vs. plagiarism
fraud: making up or doctoring data
plagiarism: representing someone elses work as if it is your own
29what are the three basic assumptions of science?
uniformity in nature: events are orderly and "lawful"
determinism: what we observe reflects cause-effect relations
discoverability: can identify causes of phenomena of interest
30how does science achieve objectivity?
1) generate idea (hypothesis) about why something occurs
2) test hypothesis by collecting (new) data
3) evaluate hypothesis by seeing if your data "fit"
31induction vs. deduction
induction: specific observation -> general statement
deduction: general statement -> specific observation
32hypothesis
specific predictions derived from a theory
if x, then y
33confirmation or confirming evidence
if x, then y / observe y
34disconfirmation or disconfirming evidence
if x, then y / observe ~ y
35why is disconfirming evidence better than confirming evidence?
-confirming evidence NEVER proves the hypothesis
-disconfirming evidence can rule out an explanation or hypothesis
36fallacy of affirming the consequent
1) if x, then y
2) observe y
3) x (is true)
"all cats have 4 legs, i have four legs, therefore I am a cat" says dog
37strong inference
data that simultaneously confirm one hypothesis and disconfirm another
if x, then y
if z, then ~ y
38serendipity
accidental or unexpected finding
39zeignarik effect
remember incomplete or interrupted actions/tasks
40applied vs. basic research
applied: has immediate application or relevance to real-life problems and their solutions
basic: test hypotheses, identify important variables, establish general principles
41attributes of "good" theories
testable
precise
parsimonious: fewer the # of assumptions/concepts, the better
42translational research
applies findings from basic research and aims to "translate" findings into applied research
43assent
is give assent is to say "yes"
44participant crosstalk
a tendency for people who have participated in a research study to inform future participants about the true purpose of the study
45mundane realism
-the degree to which an experiment mirrors real-life experiences
-considered less important than experimental realism
46experimental realism
-the depth to which participants become involved in the experiment
-considered more important than mundane realism
47quantitative vs. qualitative research
quant: results are presented as numbers and typically in the form of descriptive and inferential stats
qual: characterized by a narrative analysis of information
48theory
set of general principles or formal model describing a set of mechanisms that explains existing data, brings together diverse phenomena, and generates testable predictions
49parsimony/parsimonious
describing a theory that includes the minimum number of constructs and assumptions in order to explain and predict some phenomenon adequately
50construct
theoretical concept that ties together different observations
51operational definitions
-defining something in terms of how you measure it, or how you produce it
-needs to be specific and not vague
52converging operations
results from different operational definitions that point to the same conclusion
53what are the two major characteristics of meaningful measurements?
reliability: consistent and repeatable
validity: actually measures what is supposed to measure
54statistical vs. experimental reliability
statistical: relatively free of measurement error (uncontrolled factors)
experimental: replicable
55what are the three different types of replication?
direct: exact duplication of a prior study
systematic: similar study but with some minor or irrelevant feature(s) changed
conceptual: study using different manipulation or response measure (i.e., different operational definition)
56what are the three different types of validity?
content: do measures make intuitive sense?
criterion: measure correlates well with other measures of the same construct (how well would this measure "predict" this similar measure)
construct: does it actually measure what we are interested in?
57discriminant validity
implies that certain other measures are unrelated to the construct
58what are the four characteristics of "good: observations?
structured
well-defined
precise
free of bias
59floor effects vs. ceiling effects
floor: scores are so low overall, cannot be any lower
ceiling: scores are so high overall, cannot be any higher