Review 2 Flashcards
What Type of Quantitive design:
-Two groups (experimental and control)
-Randomization
-Manipulation of an independent variable.
True experiemental design
What is the term for:
Assignment based on chance
Each participant has an equal chance
Randomization
What Type of Quantitive design:
May not be possible to use randomization between experimental and control group.
Comparisons between group from each other in more ways then the treatment/test
Quasi- Experimental
What Type of Quantitive design:
Primary rely on statistical manipulation
Useful when testing a concept or construct
-surveys
-case control studies
-cohort study
Non experimental design
What Type of Quantitive design:
-one shot case study design
-one group pretest-post test design
-static group comparison
Pre experiment designs
If vs Then variable:
The thing you are measuring (effect) is the ? Variable
Then:
Dependent variable
If vs Then variable:
The thing you are testing (cause)
If:
Independent variable
Term:
Process used to select participants
Sampling method
4 common types of Sampling Methods:
Simple random
Stratified random
Cluster
Systematic
What type of sampling is this:
-random selection from population
Common: computer program
Simple Random sampling
What type of sampling is this:
-some of the variable will affect representation
-selected randomly based on classification (subpopulations)
-ensures all levels of variables are represented
Stratified random sampling
What type of sampling is this:
When time/travel for random sampling is prohibitive
- when specific elements are unknown
-lists cities, institutions, organizations
Cluster sampling
What type of sampling is this:
-lists all members and selects every nth with a random start point
N calculated based on population size and sample size
Systematic sampling
Sampling Term:
Not equal opportunity for selection to all members of the study population
Non probability sampling
Four common methods of non probability sampling:
Convenience sampling
Quota sampling
Purposive sampling
Network sampling
Sample criteria to determine the target population is determined by:
Including both:
Inclusion criteria
Exclusion criteria
The power of the sample size is:
Capacity of the study to detect the relationship/difference
Minimum acceptable power for health care research- .80 or 80%
Term for:
States no relationship between the variables
Null hypothesis
(There is no effect in the population)
“Fail to reject”
Term for:
Rejecting the null hypothesis, stating there is a relationship.
Alternative hypothesis
(There is an effect in the population)
“Hypothesis is supported”
Refusal or attrition rate of ?% independently will decrease the sample size and can affect the accuracy of of rejecting the null hypothesis
10%
