laboratory experiment
IV, DV, strict controls; controlled environment with no outside factors; NOT realistic to normal, natural circumstances
control conditions
independent variable is absent so that this "neutral" group can be compared to the other groups
experiment
investigation looking for a casual relationship in which the IV is manipulated so we can measure the DV
independent measures design
different group of participants for every variable
demand characteristics
participants may be influenced to think or act a certain way; reduces validity
random allocation
participants placed in random group so they have an equal chance of being in any condition
repeated measures design
every participant performs in every level of IV
participant variable
differences between individual people
order effects
practice and fatigue affect performance
practice effects
participants become familiar with the conditions of the study and improve
fatigue effects
participants become tired and bored of the process as time goes on
counterbalancing
in a repeated-measures experiment, presenting the levels of the independent variable to participants in different sequences to control for order effects
matched pairs design
participants arranged in pairs; each are similar and everyone does their own part of the IV
standardization
making sure the conditions of the experiment are as controlled as possible to account for differences in the subjects
reliability
consistent results
validity
the extent to which a test measures or predicts what it is supposed to (test what you're supposed to be)
field experiment
experiment but in the subjects' natural setting
ecological validitu
applying findings to a more universal topic
ecological validity
quality of studies representative of naturally occurring behavior
natural experiment
experimenter cannot manipulate any variables
uncontrolled variable
can taint results and confuse researcher
informed consent/right to withdrawal
self-explanatory
privacy/confidentiality
all personal information is to be kept within the study and not released
self-report
participants answer questions about themselves
closed questions
quantitative data, no expansion on answers
open questions
qualitative data, expansion allowed
inter-rater reliability
indicates how consistent scores are likely to be if the responses are scored by two or more raters using the same item, scale, or instrument
social desirability bias
trying to make yourself look good by guessing the motive behind test questions
filler questions
try to disguise the true meaning behind the questions and deter subjects from guessing what they are about
structured interview
all subjects asked the exact same questions in the exact same manner to maintain consistency and control; may be scripted; often recorded
unstructured interview
the next question is determined by the participant's response to the previous one; "loosey goosey"
semi-structured interview
mixture of open and closed questions
subjectivity
biased, opinionated, personal to each interviewer
objectivity
free of bias, consistent throughout all researchers or participants
naturalistic observation
observed in a natural environment without any controlled factors
controlled observation
researcher controls the environment
unstructured observation
whole range of behavior is recorded; usually performed at the beginning as a "test run" = "pilot'
behavioral categories
the specific set of observations that are recorded in systematic observational research; pre-chosen behaviors to seek out
structured observation
researchers only look for specific behaviors
inter-observer reliability
consistency between two researchers watching the same event; will they produce the same records?
participant observer
researcher observes from the POV of a participant
non-participant observer
researcher observers by simply watching from afar
overt observer
researcher is obviously a researcher; subjects are able to see and interact with them
covert observer
researcher observes while being disguised or hidden; often used with children to avoid distraction
correlation
looks for a relationship between two variables in which a change in one is related to a change in another
positive correlation
increase in one variable is responsible or accompanied by an increase in the other
negative correlation
increase in one variable is responsible or accompanied by a decrease in the other
experimental condition
situations of the experiment which represent different levels of the IV; compared to each other or the control
hypothesis
testable statement predicting differences between levels of the IV or between variables; testable prediction of the study's outcome
alternative hypothesis
the hypothesis that a proposed result is true a particular investigation
directional hypothesis
one-tailed; hypothesis that states the direction of the difference or relationship (increase or decrease)
nondirectional hypothesis
two-tailed; predicting only that two variables will be related, but we don't know how yet
null hypothesis
any correlations or differences are due to chance
operationalization
defining variables in practical terms
situational variable
confounding variable due to a natural aspect of the environment
control
used to avoid results that are outcomes of multiple variables; raises validity by measuring different outcomes independently
population
total group from which a sample is drawn
sample
group selected from the population to participate in a study
volunteer (self-selectedness)
participants may be invited; they volunteer willingly by replying to an invite
random sample
all population members have the same chance of being chosen
quantitative data
numerical results, quantity, rates and scores
qualitative data
descriptions, quality, open questions, observations
measure of central tendency
mean, median, mode
mode
the most frequent scores in a data set
mean
average score
median
middle score value when all numbers are arranged from smallest to largest
measure of spread
description of statistical variation
range
the difference between the highest and lowest scores in a distribution
standard deviation
average distance of each value from the mean
bar chart
graph used for data in discrete (non-related) categories; gaps in-between each bar to indicate non-correlation
histogram
looks like a bar chart, but does NOT have spaces because all data is related; shows distribution
scatter graph
displays data from a correlational study; dots represent where the IV and DV cross
normal distribution
bell curve; mean, median, and mode are all at the apex; symmetrical
ethical issues
problems and research that raise concerns about the welfare of participants
ethical guidelines
advice and suggests for researchers to use when doing studies
debriefing
giving participants full explanations as to what they will undergo, along with potential consequences
protection of participants
participants should not be exposed to any non-regular dangers; they must leave in at least as good of a condition as when they arrived
deception
deliberate misinformation of participants
generalizability
how widely findings of a study can apply to the world
test-retest
measure a study's consistency by replicating it to compare results