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Behavior
an organism’s public or private activity, influenced by internal or external stimulation
Response
a single instance of behavior
Stimulus Events
sensory input inside OR outside of an organism
Occam’s Law of Parsimony
the best explanations for behavior are the simplest ones
Public behavior
an action that can be observed
Private Behavior
action CANNOT be observed
Functional Variable
reliably and systemically influences behavior
Positively Influence a Behavior
to change a behavior
Scientific Method
objective, quantitative, systemic, and empirical
Nature
biological variable like evolution or an individuals genome
Nurture
all events experienced throughout an individual’s life
Environmental Events
all things experienced through the senses
Experimental Analysis of Behavior
in a lab; goal of discovering more about how environmental events influence behavior
Applied Behavior Analysis (ABA)
in a lab; finding a effective change in behavior for an individual
Behavior Service Delivery
application of discoveries from research and ABA analysts for patients
Organizations Behavior Management
ABA for to improve employee performance or a business
Dependent Variable
data; measured variable
Independent Variable
changed variable; intended to influence behavior
Self-Reports
asking an individual if they engaged in a behavior
Direct Observation
recording a behavior in action or a product left from behavior
Behavioral Definition
specific form of a behavior so it can easily be identified
Social Validity
experts say a behavioral definition is accurate
Interobserver Agreement
how much observers agree on a behavior occurring
Four Dimensions of Behavior
Frequency, Latency, Duration, Magnitude
Reactivity
changed in an individual’s behavior when watched
Outcome Recording
recording lasting products of behavior
Event Recording
recording each instance of behavior when it happens
Partial Interval Recording
recording if a behavior happens at any time in an interval
Whole Interval Recording
recording if a behavior happens during an entire interval
Duration Recording
measuring how long a behavior takes
Group Experimental Designs
comparing the behavior from a treatment group with a control group
Inferential Statistics
data from a small sample to makes predictions about a larger population
Single-Subject Experimental Designs (S-S)
compares a baseline to an experimental phase
Replication
repeating an experiment
Internal Validity
functional relation between ind variable and behavior change
Confounds
variables outside an experiment influencing a behavior
Comparison Experimental Design (A-B)
compares baseline phase (A) to an experimental phase (B)
Reversal Experimental Design (A-B-A)
switching between baseline and experimental phases in order to improve internal validity
Alternating Treatments Design
independent variable is turned on and off QUICKLY to determine if treatment is effective
Multiple Baseline Design
time-staggered A-B comparisons for different behaviors, situations, or individuals
Stable
little bounce between observations; no trend in data
Bounce
variability in data; frequently changing behavior
Trends
systematic increasing or decreasing in variability over time
Four Defining Features of S-S Designs
focus on the individual, experimental phases, measured repeatedly, internal validity
Three Types of Replication in S-S Designs
within individual, across individual, across labs/clinics
Visual Analysis
used instead of inferential stats; analyzing a graph to determine if a convincing change occured when the ind v was ON/OFF
Guidelines for Conducting Visual Analysis
draw a trendline through baseline data, evaluate bounce, draw trendline through intervention data
Level
prevalence of a behavior during a stable phase