NUFD 100 EXAM 2 QUESTIONS AND
ANSWERS10
ANOVA - ANSWERS -Tests the significance of relationships among three or more variables.
A method to compare and analyze the means of more than two groups or the variable is
measured more than two times. Data must be interval or ratio.
multiple regression - ANSWERS -used to study the relationship of many independent variables
on one dependent variable (measured at interval or ratio level).
effect size - ANSWERS -▪ Effect size tells you how powerful the effect of the independent
variable is on the dependent variable, as well as the direction
Reliability - ANSWERS -focuses on repeatability of a set of research findings
validity - ANSWERS -refers to the degree to which the conclusions drawn from the study are
accurate and well-founded
internal validity - ANSWERS -Extent to which the independent actually caused the outcome.
Threats: History, Maturation, Selection, Mortality/attrition, Testing, Instrumentation, Regression
to the mean
external validity - ANSWERS -Extent to which the study can be generalized
, Threats: People, place, time
Statistical conclusion validity - ANSWERS -Extent to which inferences about relationships among
variables from the statistical analysis are accurate.
Threats :
Violation of assumptions of statistical tests
Fishing
Reliable measures/instruments
Reliability of treatment implementation
construct validity - ANSWERS -Extent to which researchers are measuring the study's constructs.
Probability Sampling - ANSWERS -Each person in the population has an equal probability or
chance of being selected
1) Simple Random Sampling
2)Systematic Random Sampling
3)Syratified Random Sampling
4) Cluster Random Sampling
stratified random sampling - ANSWERS -involves dividing the accessible population into groups
(based on age or gender, for example) and then using simple or systematic random sampling for
each group (also called strata). The random sampling is usually, but not always, done
proportionally so that more respondents are drawn from the larger strata.
systemic random sampling - ANSWERS -involves selecting every nth individual from a list after a
random start point, such as choosing every 35th person after starting with the 23rd person.
ANSWERS10
ANOVA - ANSWERS -Tests the significance of relationships among three or more variables.
A method to compare and analyze the means of more than two groups or the variable is
measured more than two times. Data must be interval or ratio.
multiple regression - ANSWERS -used to study the relationship of many independent variables
on one dependent variable (measured at interval or ratio level).
effect size - ANSWERS -▪ Effect size tells you how powerful the effect of the independent
variable is on the dependent variable, as well as the direction
Reliability - ANSWERS -focuses on repeatability of a set of research findings
validity - ANSWERS -refers to the degree to which the conclusions drawn from the study are
accurate and well-founded
internal validity - ANSWERS -Extent to which the independent actually caused the outcome.
Threats: History, Maturation, Selection, Mortality/attrition, Testing, Instrumentation, Regression
to the mean
external validity - ANSWERS -Extent to which the study can be generalized
, Threats: People, place, time
Statistical conclusion validity - ANSWERS -Extent to which inferences about relationships among
variables from the statistical analysis are accurate.
Threats :
Violation of assumptions of statistical tests
Fishing
Reliable measures/instruments
Reliability of treatment implementation
construct validity - ANSWERS -Extent to which researchers are measuring the study's constructs.
Probability Sampling - ANSWERS -Each person in the population has an equal probability or
chance of being selected
1) Simple Random Sampling
2)Systematic Random Sampling
3)Syratified Random Sampling
4) Cluster Random Sampling
stratified random sampling - ANSWERS -involves dividing the accessible population into groups
(based on age or gender, for example) and then using simple or systematic random sampling for
each group (also called strata). The random sampling is usually, but not always, done
proportionally so that more respondents are drawn from the larger strata.
systemic random sampling - ANSWERS -involves selecting every nth individual from a list after a
random start point, such as choosing every 35th person after starting with the 23rd person.
