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Chapter 3

Psych 282 behaviour modificationPsycho 282 chapter 3.docx

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Department
Psychology
Course
PSYCO282
Professor
Karsten Loepelmann
Semester
Fall

Description
Psycho 282 B-MOD Chapter 3: Graphing behavior and measuring change.  Components of graphs: • The Y and X axis... • The labels for Y and X axis • The number on Y and X axis • Data points ( connected) • Phase line ( vertical line on the graph that indicates a changes in the treatment (i.e. baseline to treatment1 to treatment 2 will have 2 phase lines) • Phase labels ( at the top)  Graphical behavioral data. • Add data points and connect theminclude the phase line (make sure to not to connect the line here) add phase label  add axis labels.  Graphing data from different recording procedures • You can make any graph the only thing that will change are the Y axis labels and numbers.  Research designs: • The purpose of research design is to determine the treatment (independent variable) was responsible for the observed change in the target behavior (dependent variable) and to rule out any other extraneous variables. • Confounding( extraneous) variable: another factor that may affect behavior that is not controlled for ( avoid this) • Functional relationship: when a researcher find relationship between procedure and the target behavior. It must have two things though: a) must change only when the independent variable is changed b) when process is replicated the behavior still changes.  A-B designs. • has one baseline phase(A) and one treatment phase(B) to determine if the behavior changed in expected way after the comparing treatment with baseline phase. • No functional relation (since treatment is not implemented a second). Not a true research design (it does not rule out that extraneous factors might have changed the behavior). This is why rarely used by B-MOD researchers.  AB-AB design reversal design (NOTE: have to be same person in same setting ) • Is an extension of the simpleAB design (basically you doAB thenAB and then AB that is why called a reversal design). Example is Baseline treatmentbasement then the same treatment again (so you get 2 baselines and 2 treatments on the graph. Demandbad behavior by student (1) no demand good behavior by student. • Good thing: if you see same change in behavior after treatment is to baseline, that means no other variable but the treatment (demand=independent variable) is responsible for the change. • Bad things: unethical and participants may not want to go back to baseline ( I.e.
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