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validity of measurement
an assessment of how well we measured what we wanted to measure
validity of a research study
an assessment of the quality of the research process and the accuracy of the results
internal validity
extent to which study provides evidence of a cause effect relationship between IV and DV
construct validity
extent to which results supportthe theory (and only that theory) behind the research
external validity
extent to which results generalizes to other situations and people
ecological validity
degree to which an experimental situation resembles the real world
statistical validity
extent to which data reveals true rather than accidental (chance) effects
extraneous variable (EV)
any vaiable in a study other than the two variables studied (eye color, foods liked)
confounding variable (CV)
extraneous variable changes systematically with the 2 variables being studied
what are the 11 threats to internal validity?
history
maturation
effects of repeat testing
regression to the mean
selection bias
mortality
diffusion/imitation of treatment
compensatory equalization
compensatory rivalry
resentful demoarlization
experimental bias
what is history pertaining to internal validity?
when environmental effects other than your treatment occur between administration of your treatment; affecting at least one treatment differently.
what is maturation pertaining to internal validity?
any physiological or psychological changes in participants that are unrelated to the IV; problematic for long designs using young children/elderly
effects of repeative testing?
when being tested influences performance on subsequent testing
practice effect?
if performance is better after Treatment 2 is that because Treatment 2 promotes better performance or had more practice with the task?
fatigue effect
if perfomance is better from Treatment 1 is that because Treatment 1 promotes better performance or because they were tired/unmotivated during Treatment 2?
what is regression to the mean?
tendency for subject w/ extreme (high/low) scores to score closer (regress) to the mean on subsequent testing
what is selection bias?
when bias in selecting groups leads to non-equivalant groups; participants in one group differ from another (age, IQ, motivation)
why is selection bias a problem?
can’t tell if differences between the groups on the DV are due to the IV or due to differences among the participants
what is mortality?
differential attrition/selective subject loss; when participants from Group A drop-out more than those from Group B; if the high IQ group drops out creates lower for the rest
what is diffusion-imitation of treatment?
when treatment spreads from Group A to Group B; through subjects with big mouths; you learned PEMDAS from others
what is compensatory equalization?
group A demands (and receives) treatment that Group B receives; heard of benefits and demands it
what is compensatory rivalry?
Group A, which doesn’t get treatment, tries to outperform Group B; motivation level becomes the confounding variable
waht is resentful demoralization?
opposite of another one: Group A, which doesn’t get treatment, resents Group B and underperforms; not gonna do well so doesn’t try
what is participant expectancy?
when participants don’t behave “naturally” because they expect certain results; due to their expectations and not your theoretical explanation
what is demand characteristics?
cues to the purpose of your study that influence participants behavior
what is good subject tendency?
act in accord with what they think you want; pick up on nature
what is social desirability effect?
behave in a socially desirable fashion
what is the threat other subjects relating to external validity?
will result from your subjects generalization to other subjects; college students »» married middle-aged spouses?
what is the threat other times relating to external validity?
will results from Era A generalize to Era B?
what is the threat other settings relating to external validity?
will result found in lab generalize to the “real world”, outside of that context?
what is 1 threat to statistical validity?
Low Power - the likelihood that a statistical test will allow researchers to correctly reject the null hypothesis; if IV has an effect then high power study is more likely than a low power study to find that effect; if study has low power than cna conclude your results are inconclusive
experimental group
subjects who receive a certain level of the IV
comparison group (s)
similar subjects who receive a different level of the IV; or nothing at all
What are the logic of a between-subjects design?
groups alike, manipulate IV, and resulting differences between groups must be due to IV
what is control?
any means used to rule out threats to a study’s validity
what is between-subjects design?
one group of subjects gets one level of the IV while the other group(s) get the other levels of IV; comparison done between groups of subjects
what are the 5 ways to establish equivalant groups?
hold variables constant across groups; same room, experimenter, day
restrict range of variability; only subs with IQs of 100-110
randomly assign subjects to groups
match subjects between groups
use a within-subjects research designs
what is randomly assigning subjects to groups?
all subjects have an equal chance of being assigned to each gp
what is matching a subject between groups?
say you want to ensure that your two groups are equivalent on a variable; measure each participant on that variable, list participants form highest to lowest score and randomly assign the members of each pair to the groups
what is using a within-subjects design?
all Ss receive all levels of IV presented at different times; comparison done within subjects and serve as your own comparison
what are two advantages of within-subjects design?
requires fewer Ss (subjects); huge when participants are hard to obtain
largely eliminates individual different problems; ultimate in equivalent groups
what are the four disadvantages of within-subject design?
participant attrition - can result in only one measurement for a subject
time-related problems - participants may be influenced by outside factors between measurements; lowers internal validity
order effect problems (contrast effect problems) - first measurement may influence subsequent measurements; lowers internal validity
cant be used w/ the manipulations that are lasting; training wheels vs downhill
what is experimental research?
subjects are randomly assigned to groups
IV is __ during experimental research?
manipulated
Effect on DV is ____ during experimental research?
measured
what is nonexperimental research?
research in which the experimenter does NOT have control over the conditions of the study
what are the 4 types of experimental research?
observational
archival
case study
survey/interview
what is observational experimental research?
IV is not manipulated
what is archival experimental research?
existing data
what is case study experimental research?
single person
what is survey/interview experimental research?
chap 9
what is observational research?
observe and systematically record behavior; observation & description only, tells us what can happens NOT why it happens, no manipulation; causation NOT determined
what are the 2 types of observational research?
naturalistic observation and participant-observer observation
what is naturalistic observation?
careful monitoring and examination of what animals do in “real world” conditions; Jane Goodall
what is participant-observer observation?
researcher engages in same activites as people being observed; invasion of privacy, act of observation can change the situation and behavior
what is archival research?
research using existing data that the researcher had no part in collecting
what is case study?
thorough observation and description of single individual; observation and description only, tells us what can happen, NOT what typically happens and NOT why ; causation NOT determined
What is a survey?
a method of gathering info. by asking questions to some people
how to construct a survey - use already established one?
should be reliable and valid
how to construct a survey - create one?
harder than it seems
how to construct a survey - think carefully about types of q’s and responses you want?
open-ended, close-ended (yes/no), partially open-ended (yes/no/other for explain), rating scaled
how to construct a survey - questions should?
be clearly worded, use simple, appropriate language
how to construct a survey - avoid using?
leading questions, loaded emotion-laiden questions (abortion), double barreled questions (2 questions in 1), a series of questions worded in a similar manner
how to construct a survey - things to consider?
how will you administer it? - individually, groups, mail, online, verbal surveys can be face-to-face, on phone or in groups; respinse rate is very important
what is social desirability?
when people respond to surveys as they think they “should” rather than what they truthfully feel or believe
what is monotonicity of response?
people sometimes just circle the same response over and over and over - insufficiently attending to the survey; these issues compromise the validity of your data
What are 5 ways to increase the veracity of responses?
include a social desirable scale - assess the degree to which respondents endorse social-desirable responses
ensure an anymity - not able to tell = more honest
repeat questions and look for deviation in respones
look for monotincity of responses ahead of time in your data set
measure the amount of time it takes to complete the survey
what is a population?
draw inferences about; entiere set of every potential subject who falls into our category of interest, who we want our findings to generalize to
what is a sample?
collect data from; a group of subjects (drawn from the relevant pop) who participate in our study
what is a biased sample
if not a representative of the population; age, IQ, sex
probability sampling
each member of the population has a specific probability of being chosen for the sample - must know popsize, sampling done via random selection
non-probability sampling
dont know the probability of any one person being chosen for the sample - sampling done via convenience, ease, has greater risk of producing biased samples
what is simple random sampling?
every member of a population has an equal chance of being selected as a member of the sample - clearly define pop, list all members of pop, and using random process to select member from the list of sample
what is stratified random sampling?
sample takes into account different types of people in the population - select subgroups from pop to be included in sample, then select an equal random ample from each sub group then combine in one sample
what is proportronate stratified random sampling?
proportions of different types of people in sample are identical to proportions in pop - select subgroups from pop to be included in sample, determine what proportion of pop corresponds to each subgroup, then select proportionate random sample from each subgrouping, then combine into one sample
what is convenience sampling?
subjects selected based on their accessibility and our convenience