Term
|
Definition
Claims to be scientific but is not.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
Scores having equal distance between each group.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
The level of agreement multiple judges have on the same occurance.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
Analysis of variance
A statistical measure of the differences among groups when there are two or more groups.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
"Designs that entail samplingto enroll participants who may be likely to have the condition and who are administered an accepted gold standard for the condition" (Haynes & Johnson, 2009).
|
|
|
Term
|
Definition
"The degree with which an instrument rationally and empirically measures a theoretical construct" (Haynes & Johnson, 2009). |
|
|
Term
|
Definition
The variable causing the affects on the dependent variable.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
When the outcome of the study is threatened by participants being sampled multiple time. |
|
|
Term
|
Definition
The score that occurs most in the distribution.
(Haynes & Johnson, 2009) |
|
|
Term
|
Definition
Grouping of participants to make the groups similar in specific areas. |
|
|
Term
|
Definition
"A distribution in which the mode and the median are below the mean" (Haynes & Johnson, 2009). |
|
|
Term
|
Definition
The amount the product measures what it says it measures. |
|
|
Term
|
Definition
Researchers, participants, and the people who anaylze the data do not know who has been assigned to which group. |
|
|
Term
|
Definition
"A measure of variability in a distribution" (Haynes & Johnson, 2009). |
|
|
Term
|
Definition
A design in which the participants do not know if they are in the control or experiment group. |
|
|
Term
|
Definition
The average of a set of numbers. |
|
|
Term
|
Definition
A prediction that there is not a relationship between the the variables. |
|
|
Term
|
Definition
The variale that the independent variables have the effect on. |
|
|
Term
|
Definition
A study done on events that have already happened. |
|
|
Term
|
Definition
A correlation is a relationship between the variables but not a definate cause/effect. |
|
|
Term
|
Definition
Study consisting of
A- Determining baseline/no treatment
B - Treatment
A - Baseline/no treatment |
|
|
Term
|
Definition
|
|
Term
|
Definition
Participants drop out of the study. |
|
|
Term
|
Definition
The researcher's personality influences the experiment. |
|
|
Term
|
Definition
0 - no relationship
1 - strong positive relationship
-1 - strong negative relationship |
|
|
Term
Resources
Haynes, W. O., & Johnson, C. E. (2009). Understand research and evidence-based practice in communication disorders. Boston: Pearson. |
|
Definition
|
|