1
Q
Hypo-deductive approach
A
- Begins with initial promise
- second more developed premise
- Then a hypothesis is developed
- study is designed
2
Q
Hypothesis
A
- Informal prediction of what will happen under a certain set of conditions
- Further support is sought
- Even if a hypothesis is true the theory may not be
- Usually developed after data collection in behavioural analysis
3
Q
Induction
A
- Data is collected and used to develop a hypothesis rather than a theory
- Therefore, accidental discoveries can lead to further research
4
Q
Experimental tactics
A
- individual assessments are used to create unique interventions
- Experimental tactics can be combines to find what fits best which is flexible
5
Q
Experimental design
A
- arrangement of conditions in a study
- only change one variable at a time
- New designs help the field grow
6
Q
Principle
A
Describe the functional relationship between behavior and its controlling variables
-They are used instead of theories and are generalisable
7
Q
Tactic
A
-Method for changing behavior based on a principle
8
Q
Behaviour
A
- Describes the way an organism interacts with the environment continuously
- Measured using systematic repeated measures across time to establish general laws
9
Q
Variability
A
- Peaked or stable data
- Assumed to be specific, randomly distributed and due to environmental factors
- Measured using range
10
Q
Functional relations
A
-The way behaviour is impacted by environmental variables
11
Q
Visual analysis
A
-Continuously checking the data path of your graph allows you to intervene if there is too much variability.
12
Q
Trend
A
-Does the phase change line increase or decrease
13
Q
Level
A
-Where the data path cuts the Y axis
14
Q
Small end design
A
-Small sample size as each person is their own control
15
Q
Large sample size
A
- more likely to be significant
- easier to identify participant variables that influence effectiveness
- more generalisable
Behavioral psychology
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