CPCE Research/Stats Cards Exam
Questions and Answers
ANCOVA - ANS-The analysis of covariance.
ANOVA - ANS-multiple T-tests but with three or more groups
Confidence level - ANS-Another name for the test of significance
Confounding - ANS-Not accurate because of a a hidden or lurking variable.
Correlation - ANS-This indicates the strength or lack of strength of an association
Dependent variable - ANS-the results [outcome variable (data)] of the treatment of IVs
External Validity - ANS-Can the findings of the study really be generalized to other
groups of people, settings, programs.
Frequency - ANS-compares the number of S's in a particular category.
Independent variable - ANS-The the variable that the researcher manipulates.
Internal Validity - ANS-Does the experiment really demonstrate that the DV changes or
lack of them were caused by the IV. Does the experiment treatment really make a
difference?
MANOVA - ANS-This is a statistical test procedure for comparing multivariate
(population) means of several groups.
Negatively Skewed - ANS-When the curved tail goes to the left the distribution is
Normal Curve - ANS-Where mean median and mode all fall in the middle of the curve.
null hypothesis - ANS-No significant difference between the control group and the
experimental group.
p - ANS-The smaller the ________ the more convincing the experiment.
Parsimony - ANS-The findings should be explained and interpreted in the most simplest
way.
, Positively Skewed - ANS-When the curved tail goes to the right the distribution is
Replicated - ANS-If a theory can be _________ then it is said to be reliable.
Statistical Regression - ANS-When extreem scores regress toward the mean.
T scores - ANS-the mean = 50 and the SD = 10. The most widely used standard score
Threats to internal validity - ANS-Researcher can't control procedures that impact the
study, instrumentation, maturation, Statistical Regression, test selection, attrition,
experimental mortality,
Type one alpha Error - ANS-Reject Null when it is true.
Type two beta Error - ANS-Accept Null when it is false.
Y - ANS-The DV's are placed on this Axis.
Z Score - ANS-the mean = 0 and the SD =1. Is the most basic and allows scores from
different tests to be compared
stanines - ANS-the normal curve divided into 9 (not equal) parts
Z, T, Stanines - ANS-the three standard scores derived from the normal curve
proportion - ANS-ratio of a subgroup to a total group; always expressed from 0.0 to 1.0
percentage - ANS-proportion of a subgroup to a total group
mode - ANS-used with nominal data only, unstable and rarely used
median - ANS-used with ordinal, interval and ratio data, least effected by the skew.
mean - ANS-interval and ordinal data, most affected by the skew
variability - ANS-the spread of scores
SD - ANS-range / 6
SD - ANS-describes how scores vary around the mean
sampling - ANS-must be done randomly to ensure that it represents the larger
population
population - ANS-all subjects have common characteristics
Questions and Answers
ANCOVA - ANS-The analysis of covariance.
ANOVA - ANS-multiple T-tests but with three or more groups
Confidence level - ANS-Another name for the test of significance
Confounding - ANS-Not accurate because of a a hidden or lurking variable.
Correlation - ANS-This indicates the strength or lack of strength of an association
Dependent variable - ANS-the results [outcome variable (data)] of the treatment of IVs
External Validity - ANS-Can the findings of the study really be generalized to other
groups of people, settings, programs.
Frequency - ANS-compares the number of S's in a particular category.
Independent variable - ANS-The the variable that the researcher manipulates.
Internal Validity - ANS-Does the experiment really demonstrate that the DV changes or
lack of them were caused by the IV. Does the experiment treatment really make a
difference?
MANOVA - ANS-This is a statistical test procedure for comparing multivariate
(population) means of several groups.
Negatively Skewed - ANS-When the curved tail goes to the left the distribution is
Normal Curve - ANS-Where mean median and mode all fall in the middle of the curve.
null hypothesis - ANS-No significant difference between the control group and the
experimental group.
p - ANS-The smaller the ________ the more convincing the experiment.
Parsimony - ANS-The findings should be explained and interpreted in the most simplest
way.
, Positively Skewed - ANS-When the curved tail goes to the right the distribution is
Replicated - ANS-If a theory can be _________ then it is said to be reliable.
Statistical Regression - ANS-When extreem scores regress toward the mean.
T scores - ANS-the mean = 50 and the SD = 10. The most widely used standard score
Threats to internal validity - ANS-Researcher can't control procedures that impact the
study, instrumentation, maturation, Statistical Regression, test selection, attrition,
experimental mortality,
Type one alpha Error - ANS-Reject Null when it is true.
Type two beta Error - ANS-Accept Null when it is false.
Y - ANS-The DV's are placed on this Axis.
Z Score - ANS-the mean = 0 and the SD =1. Is the most basic and allows scores from
different tests to be compared
stanines - ANS-the normal curve divided into 9 (not equal) parts
Z, T, Stanines - ANS-the three standard scores derived from the normal curve
proportion - ANS-ratio of a subgroup to a total group; always expressed from 0.0 to 1.0
percentage - ANS-proportion of a subgroup to a total group
mode - ANS-used with nominal data only, unstable and rarely used
median - ANS-used with ordinal, interval and ratio data, least effected by the skew.
mean - ANS-interval and ordinal data, most affected by the skew
variability - ANS-the spread of scores
SD - ANS-range / 6
SD - ANS-describes how scores vary around the mean
sampling - ANS-must be done randomly to ensure that it represents the larger
population
population - ANS-all subjects have common characteristics
