Basics of Experimentation Flashcards
An _ states a potential relationship between two variables:
Experimental Hypothesis
_ is the stimulus variable where the experimenter intentionally manipulates.
Independent Variable
_ is the response variable and it is the behavior we expect to change because of our experimental treatment.
Dependent Variable
_ are also referred to as treatments, manipulations, interventions, and conditions.
Independent Variables
_ are also referred to as measures, effects, outcomes, results.
Dependent Variables
_ specifies the precise meaning of a variable within an experiment and tells others how to carry out an experiment.
Operational Definition
_ describe exactly what was done to create the various treatment conditions of the experiment.
Experimental Operational Definitions
_ is the consistency and dependability of results.
Reliability
In the types of reliability, _ is where different observers take measurements of the same responses, and they must come to an agreement between their measurement. When there is little agreement, measuring procedure is not reliable.
Interrater Reliability
In the types of reliability, _compares scores of people who have been measured twice with the same instrument with a reasonable interval between the two tests.
Test-retest reliability
In the types of reliability, _ is the extent to which different parts of a questionnaire, test or other instruments designed to assess the same variable attain consistent results.
Inter-item Reliability
In the types of inter-item reliability, _ splits the test into two halves at random and computing a coefficient of reliability between the scores on the two halves. The two halves of the test should correlate strongly if the items are measuring the same variable.
Split-half reliability
In the types of inter-item reliability, _ is where correlation of each test item with every other item occurs.
Cronbach’s Alpha
_ is studying the variables we intend to study.
Validity
In the types of validity, _ answers the questions:
Does the content of our measure fairly reflect the content of the quality we are measuring? Are all aspects of the content represented appropriately?
Content Validity