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RMDA exam 1

TermDefinition
ways of knowing intuitions and anecdotes; authority and tradition; empiricism and direct experience; rationalism and skepticism
intuition "I believe my gut feeling"; hunch and emotionality; sudden insight but no science or data to prove
advantages of intuition origin of novel hypotheses; can move a field beyond the data; provide emotional/personal insight
disadvantages of intuition no empirical data; consider confirmation bias and false consensus effect
authority "I believe what they tell me to"; credible/powerful/influential people; institutions and traditions (e.g. religion)
advantages of authority stable set of beliefs/principles; move a field beyond data (visionaries, e.g. Freud)
disadvantages of authority insensitive to proof/evidence, susceptible to political bias; ignore scientific procedures; distorts/ignores evidence and science
empiricism "I believe what I can see"; direct observation, data, reliability, repeatability; doesn't exist until problem faced directly
advantages of empiricism can confirm hunch with real data; grounds knowledge; confirm intuition by observation; makes knowledge public
disadvantages of empiricism validity of tools; confirmation bias; spurious correlations; susceptible to illusions and misperceptions
rationalism/skepticism "I believe what makes sense"; logical coherence; organize understanding, guide new hypotheses, summarize empirical data
advantages of rationalism/skepticism dvp coherent principles/theories, articulate hypothetical constructs underlie behavior, correspond conclusions-knowledge
disadvantages of rationalism/skepticism potential bias in data used to support theory; consider ideological bias and authority-based belief systems
goal of behavioral science description, prediction, determining cause, explaining behavior
description describe observable behavior; describe how events are systemically related; e.g. do ppl study better w/ tv or no?
prediction once events have shown to be related, predictions can be made; considers likelihood
determining causes (of behavior) correlation is not causation; to know how to change behavior, we need to know the causes of behavior
explaining behavior explain relationship by testing theories; understand why a behavior occurs
temporal precedence specific, consistent order to the events; cause must happen before effect
covariation of cause and effect observing a change in one variable should lead to a change in another; effect doesn't occur w/out cause
covariation of cause and effect: when one isn't present if effect occurs without cause, it's not the cause; if cause isn't present, effect doesn't occur
eliminate alternative explanations determine effect isn't caused by a different variable; rule out other explanations; can use survey; eliminate other factors
basic research understand nature of behavior without having irl application; e.g. address theoretical questions abt areas of the mind
applied research conducted to address issues in which there are practical problems and potential solutions
e.g. basic research general; e.g. differences between men and women, bst method for learning; has implications for applied research, not solution
using applied research use theory and evidence to design courses; applied research often guided by findings of basic research
variable event, situation, behavior, or characteristic that varies; at least 2 values; with humans, only thing not variable = species
operational definition statement that determines how a variable will be measured to determine its existence, duration, or quantity
operational definitions are quantifiable; objectively measured; behavioral; very clear/specific
e.g. operational definition "memory improvement" pre and post test of words to memorize (different words for post-test) and improvement is more words memorized
confounds third variables; variables you aren't measuring, that may impact results
independent variable (IV) cause; the variable being manipulated/ whose effect is being studied
dependent variable (DV) effect; measurable behavior; may change in response to independent variable
random selection when recruiting from large population, everyone has equal chance of being in sample; no cherry-picking
random assignment randomly putting people in experimental vs control groups; reduces bias; equate experimental and control groups besides IV
within-subjects design same people in experiment conditions; same person is their own control
between-subjects design different people in each group
risk-benefit analysis compare potential risks with potential benefits; minimize risks, maximize or equalize benefits
APA format there was (not) a statistically significant correlation between variable A and B, r(df) = x, p ><= .05 or .10; such that...
correlation the measure of the extent to which 2 factors vary together and how well either factor predicts the other
positive correlation both variables increase or decrease; e.g. as attendance increases, so does class grade
negative correlation inverse relationship; as one variable increases, the other decreases; e.g. as freq of exercise increases, anxiety decreases
correlational/nonexperimental cons no causality; third variable problem; difficult to control many aspects of situation
internal validity ability to draw conclusions abt causal relationships from results of study; strong causal inferences with high validity
external validity how well results match the real world; how generalizable results are; ecological validity
field study/experiment type of experiment where IV is manipulated in natural setting (e.g. public places, like classrooms, parks)
ethical concerns of field study stress; didn't sign up for it
experimental methods manipulate independent variable and measure dependent variable
experimental control all extraneous variables kept constant
random variability ppl's responses can vary in any random way from each other; lots of factors determine random variability
uncertainty don't know responses and population ahead of time
general experimental research hypothesis the experimental (values of DV) caused only by experiment itself (values of IV)
construct validity ensure the test you're using is appropriate for what you're studying; are the studied constructs appropriate?
constructs intangible, complex ideas (e.g. personality, mood)
qualitative research nominal/words description; simple observation (e.g. naturalistic); record patterns of behavior in specific groups and places
quantitative research tracking patterns of behavior using numbers; e.g. surveys, polls, archival data; shows pattern of behavior but not why
predictions an estimate at outcome of a specific measure or test in study; relate specifically to study measures
e.g. predictions dominant hand will be quicker than the nondominant hand during the ruler drop
hypothesis tentative idea or answer to a research question; need evidence to support/accept or disconfirm/reject; very general
e.g. hypothesis dominant handiness influences reaction time
research questions used to identify and describe the investigated topic, and conduct research to answer; can have smaller questions branch out
frequency distributions pie charts, bar graphs, line graphs (frequency polygons), histograms
median middle number when in order lowest to highest
mode number that occurs most often
mean the average (sum of numbers divided by number of numbers)
central tendency means of measurement; mean, mode, median
standard deviation spread of the numbers; 68–95–99.7 normal distribution; SD = square root of variance
variance (s^2) square of standard deviation
null hypothesis (H0) population correlation coefficient is 0.00; no change or effect; no relation; any relation between variables is by chance alone
research/alternative hypothesis (H1) population correlation coefficient is not 0.00; there is a relationship between variables; can we reject null?
IRB Institutional Review Board; consists of people with and without expertise in institution; assesses risk and permits/denies studies
Common Rule comes from Belmont Report; 1991 basic standard of ethical guidelines
Belmont Report 1979; basis of APA guidelines; beneficence, autonomy, justice
coercion compelling a group to act or do things involuntarily
Informed consent person should know info about the study in writing; possible risks or harm; reminders it's voluntary
ethical considerations in Tuskeegee informed consent; do no harm/minimal risk; representative sample; should benefit participants; deception
ethical considerations in Zimbardo no informed consent; risks outweighed benefits; severe harm
debriefing at end of study, researchers explain purpose of study; explain deception; comfort/calm participant
deception active misrepresentation about the nature of the study
double-blind study neither the participants nor researchers know which group is the control group
self-selection ppl who choose to be in a study; volunteerism bias etc
participant variables aren't assigned but are measured; e.g. gender, age, eye color, etc
convenience sampling e.g. using rcnj students; easy to obtain participants; not necessarily representative of population
self-fulfilling expectations/prophecy researcher may be unaware they're treating participant a certain way; biased procedures
social desirability responding esp. personal info; respond in a way they think is right; changes in responses with age
beneficence minimize risks, maximize benefits; risk-benefit analysis
autonomy right to exercise autonomy and make informed decisions
justice research shouldn't involve groups unlikely to benefit from findings
Created by: lector_noche
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