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Exam 2 RMDA

TermDefinition
writing participant paragraphs gender, mean age and ranger, ethnicity, number of participants, consent, IRB approval, missing data, type of population, compensation
Inter-rater reliability the extent to which two or more raters agree
test-retest reliability measure of reliability obtained by administering the same test twice over a period of time to a group of individuals
ratio scale -equal intervals -absolute zero -can be summarized using mean
interval scale -interval between levels are equal in size but may not be equal in persons mind -no absolute zero -example: temperature
nominal scale -no numerical or quantitative properties -levels represent different categories -one category is not better than the other
ordinal scale -order levels from highest to lowest -intervals between levels dont have to be equal -the order means something on a continuum
quantitative approaches -assign numerical values to responses and measures -can do statistical analysis and calculate means
qualitative approaches -focuses on behavior in a natural setting -describes themes that emerge from data -researcher draws conclusions
naturalistic observations -observations made in a natural setting -describe and understand how people live in a certain setting -generate hypotheses that help explain data -researcher interprets what occured
structed observations -qualitative research -aims to measure certain actions or behaviors -records systematically to be analyzed later and understand trends and draw conclusions
probability sampling -selection of a sample from a population
non probability sampling branch of sample selection that uses non-random ways to select group to represent population
convenience sampling participants are selected for inclusions in the sample due to convivence
case study -descriptions of an individual -valuable for rare and unusual situations
archival research -uses previously complied information to answer research questions -requires coding system -can address questions that cant be addressed in other ways -may be difficult to obtain or infer information collected
loaded questions -dont lead people to one answer -questions should have neutral tone
double barreled questions dont ask two things at once
poorly designed questions -avoid negative wording -avoid using big word participants may not understand
yea-saying person says all yes to questions
nay-saying person says all no to questions
purpose of self report measures can measure knowledge, attitudes, beliefs, and behavior
benefit of closed questions -attitude can be addressed in several ways -specific and concrete -easy to use statistically -can be tested for reliability
drawbacks of closed questions -brief and simply worded -top down: issues are imposed o the participant -not sensitive to participants personal perspectives -no options for having no response
benefits of open-ended questions -more sensitive to respondent -general qualitative response
drawbacks of open-ended questions can be difficult to interpret
Likert scale 5 to 7 point scale from strongly agree to strongly disagree
graphic rating scale -two end points and participant enters along a line that is 100mm long -using a ruler the experimenter can now score the answer from 1 to 100
semantic differential scale -examines respondent meaning of concepts -rated on a eries of bipolar adjectives
nonverbal scales -range of different faces -labeling all of the responses, not just the endpoints
self-report questionnaire -assume a moderate reading level -chap and easy to administer -limited open ended questions
face-to-face interviews -allows in-depth questions -hard to interpret -can use focus groups
cost and population access -different surveys are less/more likely to reach certain populations -stigmatized populations less likely for face-to-face -may block unknown numbers or do not answer
participant sophistication -may not be able to accurately report certain topics -rationality bias
social desirability responding -may answer based on what they think researcher wants to hear -may not answer if embarrassing or not normative in society
question order questions can trigger respondent memory and can bias following questions
snowball sampling -early participants are paid to recruit others, who recruit others, ect -form of targeted sampling -can get people who have certain characteristic -others who are not paid may drop out
confound -a 3rd variable that actually led to results instead of IV -cannot determine if effects are due to confound or IV
internal validity -an experiment must be designed so that only IV can be cause of result -exists when the results of an experiment can be confidently attributed to the effects of IV
post-test only -have to obtain two equivalent groups of participants -measure the effects of the IV on the DV
pretest-posttest -pretest is given to each group prior to IV -can quickly measure changes that occur from pretest to posttest -people may have an idea about what the study is about after pretest
independent groups design - between subjects design participants only participate in one group
repeated measures design - within subjects design -same participants in all conditions -fewer participants needed for study
order effects ordering of trials can affect DV
practice effects practice for first task helps lead to improvement on next task
fatigue effects deterioration becuase person becomes bored, tired, or distracted
carryover effect previous condition produced a change that gets carried over to later conditions
counterbalancing -all possible trial orders are presented -typically done along with gender or other variables
latin squares -used when you have many possible orders -each treatment only occurs once in each row and once in each column
matched pairs -match participants on a certain characteristic -two then get randomly assigned to different group
external validity degree of confidence that the casual relationship you are testing is not influenced by other variables
random assignment placing participants into control and experimental groups at random
demand characteristics people have an idea for what they are doing in the study
pilot studies small scale test of the methods and procedures to be used on a larger scale
variables things that can be changed or altered
null hypothesis -no difference between the mean -reject=there is a significant difference
research hypothesis the experimental outcome (values of DV) is only caused by the experiment itself (IV)
cross-sectional studies collect data from many individuals at one point in time
longitudinal studies employ continuous to follow particular individuals over a prolonged period of time
statistical significance low probability that the mean are actually equal and the results gotten are due to error
inferential statistics -only tested a single sample not whole population -draw conclusions about population from sample -want to know what concusions we can draw to population
descriptive statistics set of brief descriptive coefficients that summarize a given data set representative of entire population
type I error -we think theres an effect but there really isnt -false positive
type II error -we think theres no effect but there actually is -false negative
Created by: axniss001
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