Term
|
Definition
An intense analysis of an individual, stressing development factors in relation to context.
Low internal and external validity. |
|
|
Term
|
Definition
| Symbol used for the number of subjects or data in a distribution. A study with 10 subjects would be N=10 |
|
|
Term
|
Definition
| Case study, helped answer question "is there a critical period for learning language?" |
|
|
Term
|
Definition
| A research Method in which subjects respond to a series of questions. Low internal validity. |
|
|
Term
|
Definition
| A research method where the subjects are observed without interruption under normal or natural circumstances. |
|
|
Term
|
Definition
| Research Method using random assignment of subjects and the manipulation of variables in order to determine cause and effect. |
|
|
Term
|
Definition
| The Variable in an experiment that is manipulated or compared. |
|
|
Term
|
Definition
| The Variable in an experiment that stays constant. |
|
|
Term
|
Definition
| A Confounding Variable is an extraneous variable whose presence affects the variables being studied so that the results you get do not reflect the actual relationship between the variables under investigation. |
|
|
Term
|
Definition
| In research, the group of subjects who receive the Independent Variable. |
|
|
Term
|
Definition
| In research, the group of subjects in an experiment that does not receive the dependent variable. |
|
|
Term
|
Definition
The Statistic or number representing the degree to which two variables are related, often abbreviated
positive correlation = +0.87
Negative correlation = -0.90
(Negative one is stronger in this example, due tot he bigger number) |
|
|
Term
|
Definition
| A branch of statistics that focus on describing in numerical format WHAT IS HAPPENING now within a population. |
|
|
Term
|
Definition
| A measure of central tendency determined by adding all scores together and dividing by the number of scores. |
|
|
Term
|
Definition
| A measure of central tendency that uses the middle most occurring score. |
|
|
Term
|
Definition
| A measure of central tendency that uses the most occurring score. |
|
|
Term
|
Definition
| The difference between the highest and lowest score in a distribution. |
|
|
Term
|
Definition
| A measure of spread within a distribution. Most reliable measure. the more skewed a distribution, the more error, due to its reliance on the mean. |
|
|
Term
|
Definition
| A branch of statistics that focus on describing in numerical format what might be happening or WHAT MIGHT HAPPEN in the future (probability). |
|
|
