Research and statistics test 2 Latest
Update
4 measuring variables - ANSWER-nominal, ordinal, interval, ratio
ANOVA - ANSWER-number of groups: 3+, level of measurement of IV: nominal or ordinal, level of
measurement of DV: interval or ratio
best fit line - ANSWER-represents the best linear estimate of the relationship between two variables
bias - ANSWER-when expectations influence outcome
bland-altman plots - ANSWER-create a visual representation of how well two methods agree
blinding - ANSWER-information that may affect the experiment is withheld
block randomization - ANSWER-groups participants together in blocks prior to the start of the study
categorical - ANSWER-non numerical ( ex. race )
central limit theorem - ANSWER-mean os ample data will be closer to the mean of overall population as
the sample size increases
concurrent validity - ANSWER-involves examining an instrument with some criterion administered at the
same time ( ex ultrasound compared to mri )
confidence interval - ANSWER-range of values within which we are confident that the population value
lies
construct validity - ANSWER-degree to which a test measures an intended hypothetical construct
content validity - ANSWER-does a test that covers all relevant subtopics or components in relevant
proportions
control group - ANSWER-group in an experiment that doesn't receive treatment
correlation - ANSWER-analysis that looks at the degree of a relationship between two variables
correlation coefficient - ANSWER-analysis that looks at degree of relationship between two variables
criterion validity - ANSWER-extent to which test scores are associated with some measure of the same
ability
dependent variables - ANSWER-variables that are measured in the experiment
Descriptive research - ANSWER-describes the data in a study
double blind - ANSWER-experimenter and subjects don't know which treatment the subjects are
recieving
equivalent-forms or alternate-forms reliability - ANSWER-involves two tests that are identical in every
way except for the actual items included
experimental design - ANSWER-method of carefully planning experiments in advance
, Research and statistics test 2 Latest
Update
experimental group - ANSWER-group in an experiment that receives the treatment
extraneous variable - ANSWER-variables that are not controlled or accounted for in research design ( ex.
fatigue )
frequency distributions - ANSWER-list table or graph that displays the frequency
guidelines for cohens d - ANSWER-.2=small, .5= medium, >,80= large
Hawthorne effect - ANSWER-people perform better when being observed
how can most hypotheses can be expressed - ANSWER-terms of two variables
how can sampling error be lessened - ANSWER-by having the correct sample size
how do you cite in text - ANSWER-Author+Date+page number
how do you find total deviance - ANSWER-sum up all the deviances for each data point
how do you test hypotheses - ANSWER-by generating two mutually exclusive hypotheses
how is predictive validity measured - ANSWER-through comparison of a test score with some measure
success
how is reproducibility tested - ANSWER-by replication of a study
how should participants be assigned to a group - ANSWER-a specific process
independent variable - ANSWER-variables that are manipulated or controlled by the researcher
inferential - ANSWER-makes generalizations about data
interclass correlation - ANSWER-measure of how strongly two measures resemble each other
internal consistency - ANSWER-involves acquiring multiples measures within a day
internal variable - ANSWER-equal intervals on the variable represent differences in the property of being
measured
interrater reliability - ANSWER-evaluates the reliability of several scorers
interval - ANSWER-categorical, level or rank, uniform spacing, no zero point ( pain scale )
intrarater reliability - ANSWER-assesses stability of an individual scorer
level of measurement - ANSWER-relationship between what is being measured and the number that
represent what is being measured
linear regression - ANSWER-a statistical model of the linear relationship between one or more IV and a
DV
main ways a frequency can deviate from the normal - ANSWER-skew, kurtosis
Update
4 measuring variables - ANSWER-nominal, ordinal, interval, ratio
ANOVA - ANSWER-number of groups: 3+, level of measurement of IV: nominal or ordinal, level of
measurement of DV: interval or ratio
best fit line - ANSWER-represents the best linear estimate of the relationship between two variables
bias - ANSWER-when expectations influence outcome
bland-altman plots - ANSWER-create a visual representation of how well two methods agree
blinding - ANSWER-information that may affect the experiment is withheld
block randomization - ANSWER-groups participants together in blocks prior to the start of the study
categorical - ANSWER-non numerical ( ex. race )
central limit theorem - ANSWER-mean os ample data will be closer to the mean of overall population as
the sample size increases
concurrent validity - ANSWER-involves examining an instrument with some criterion administered at the
same time ( ex ultrasound compared to mri )
confidence interval - ANSWER-range of values within which we are confident that the population value
lies
construct validity - ANSWER-degree to which a test measures an intended hypothetical construct
content validity - ANSWER-does a test that covers all relevant subtopics or components in relevant
proportions
control group - ANSWER-group in an experiment that doesn't receive treatment
correlation - ANSWER-analysis that looks at the degree of a relationship between two variables
correlation coefficient - ANSWER-analysis that looks at degree of relationship between two variables
criterion validity - ANSWER-extent to which test scores are associated with some measure of the same
ability
dependent variables - ANSWER-variables that are measured in the experiment
Descriptive research - ANSWER-describes the data in a study
double blind - ANSWER-experimenter and subjects don't know which treatment the subjects are
recieving
equivalent-forms or alternate-forms reliability - ANSWER-involves two tests that are identical in every
way except for the actual items included
experimental design - ANSWER-method of carefully planning experiments in advance
, Research and statistics test 2 Latest
Update
experimental group - ANSWER-group in an experiment that receives the treatment
extraneous variable - ANSWER-variables that are not controlled or accounted for in research design ( ex.
fatigue )
frequency distributions - ANSWER-list table or graph that displays the frequency
guidelines for cohens d - ANSWER-.2=small, .5= medium, >,80= large
Hawthorne effect - ANSWER-people perform better when being observed
how can most hypotheses can be expressed - ANSWER-terms of two variables
how can sampling error be lessened - ANSWER-by having the correct sample size
how do you cite in text - ANSWER-Author+Date+page number
how do you find total deviance - ANSWER-sum up all the deviances for each data point
how do you test hypotheses - ANSWER-by generating two mutually exclusive hypotheses
how is predictive validity measured - ANSWER-through comparison of a test score with some measure
success
how is reproducibility tested - ANSWER-by replication of a study
how should participants be assigned to a group - ANSWER-a specific process
independent variable - ANSWER-variables that are manipulated or controlled by the researcher
inferential - ANSWER-makes generalizations about data
interclass correlation - ANSWER-measure of how strongly two measures resemble each other
internal consistency - ANSWER-involves acquiring multiples measures within a day
internal variable - ANSWER-equal intervals on the variable represent differences in the property of being
measured
interrater reliability - ANSWER-evaluates the reliability of several scorers
interval - ANSWER-categorical, level or rank, uniform spacing, no zero point ( pain scale )
intrarater reliability - ANSWER-assesses stability of an individual scorer
level of measurement - ANSWER-relationship between what is being measured and the number that
represent what is being measured
linear regression - ANSWER-a statistical model of the linear relationship between one or more IV and a
DV
main ways a frequency can deviate from the normal - ANSWER-skew, kurtosis
