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Group Discussion 13

Group Discussion 13. Describe the primary distinction between descriptive research and other research strategies. Describe the three types of survey questions and outline the advantages and disadvantages of each. Single- Subject Research Designs. Chapter 14. Single- subject designs.

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Group Discussion 13

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  1. Group Discussion 13 • Describe the primary distinction between descriptive research and other research strategies. • Describe the three types of survey questions and outline the advantages and disadvantages of each.

  2. Single- Subject Research Designs Chapter 14

  3. Single- subject designs Single- subject designs, or single- case designs, are research designs that use the results from a single participant or subject to establish the existence of cause- and- effect relationships.

  4. Evaluating the Results from a Single- Subject Study • a single- subject design does not provideresearchers with a set of scores from a group of subjects • Instead, the presentation and interpretation of results from a single- subject experiment are based on visual inspection of a simple graph of the data.

  5. Example

  6. Limitation • The results as presented do not represent a true experiment because there is no control over extraneous variables.

  7. Phases and phase changes A phase is a series of observations of the same individual under the same conditions. When no treatment is being administered, the observations are called baseline observations.

  8. 3 types of baseline • Stable level • Stable trend • Unstable data

  9. Dealing With Unstable Data • The researcher can simply wait; occasionally, a participant reacts unpredictably to the novelty of being observed.

  10. Dealing With Unstable Data 2. Consider the average of a set of two ( or more) observations.

  11. Dealing With Unstable Data 3. look for patterns within the inconsistency. For example, a researcher examining disruptive classroom behavior may find that a student exhibits very high levels of disruption on some days and very low levels on other days. days she has a swimming lesson

  12. Length of a Phase • To establish a pattern ( level or trend) within a phase and to determine the stability of the data within a phase, a phase must consist of a minimum of three observations.

  13. When to Change Phases • When the data in a baseline phase show a trend indicating improvement in the client’s behavior, a researcher should not intervene by introducing a treatment phase. • Another possibility is that the baseline data indicate a seriously high level of dangerous or threatening behavior. In this case, a researcher probably should not wait for the full set of five or six observations necessary to establish a clear pattern.

  14. When to stop treatment • If a treatment appears to produce an immediate and severe deterioration in behavior, we should stop the treatment

  15. Visual Inspection Techniques • Unfortunately, there are no absolute, objective standards for determining how much of a change in pattern is sufficient to provide a convincing demonstration of a treatment effect. • The most convincing results occur when the change in pattern is immediate and large.

  16. 4 types of change • Change in average level • Immediate change in level • Change in trend • Latency of change.

  17. 1- Change in average level

  18. 2- Immediate change in level • Comparing the last point in one phase with the first point in the following phase

  19. 2- immediate change in level

  20. 3- Change in trend

  21. 4- Latency in change

  22. 4- Latency in change

  23. The problem with single subject design

  24. THE ABAB REVERSAL DESIGN • the majority of single- subject research studies use ABAB design; • consists of four phases: a baseline phase ( A), followed by treatment ( B), then a return to baseline ( A), and finally a repetition of the treatment phase ( B).

  25. Effective

  26. Not Effective

  27. Limitations of the ABAB Design • The clinician has implemented a treatment that has corrected a problem behavior, and when the treatment is removed, the correction continues. • A second problem with an ABAB design concerns the ethical question of withdrawing a successful treatment.

  28. Variations on the ABAB Design

  29. 1- B not working use C

  30. 2- B not working add C B= Graduated exposure C= Reinforcement

  31. 3- MULTIPLE- BASELINE DESIGNS 1- Eliminates the need for a return to baseline and therefore, 2- Is particularly well suited for evaluating treatments with long- lasting or permanent effects.

  32. 3- MULTIPLE- BASELINE DESIGNS Examples A therapist uses the same method for 2 different behaviors (across behaviors) For one behavior that is exhibited in 2 different situations. (across situations) A teacher uses the same method on 2 different students (across subjects)

  33. Person1 Person2 2 different students

  34. Yelling Crying 2 different behaviors

  35. School Home 2 different situations.

  36. Weaknesses of the Multiple- Baseline Design?

  37. Weaknesses of the Multiple- Baseline Design • The risk is that a treatment applied to one behavior may generalize and produce changes in the second behavior. (Treating stuttering may help treating aggressive behavior) • In a multiple- baseline study across behaviors, onebehavior may show a large and immediate change, but the second behavior may show only a minor or gradual change when the treatment is introduced. • The same problem can occur with research involving different participants with similar behavior problems.

  38. 4- Dismantling design A dismantling design, also called a component- analysis design, consists of a series of phases in which each phase adds or subtracts one component of a complex treatment to determine how each component contributes to the overall treatment effectiveness.

  39. Example

  40. 5- The Changing- Criterion Design • The criterion level is changed from one phase to the next.

  41. Smoking Treatment

  42. 6-The Alternating- Treatments Design • In an alternating- treatments design, also called a discrete-trials design, two ( or more) treatment conditions are randomly alternated from one observation to the next.

  43. Example 1- Alternate weeks

  44. Example 2- 9 cases for each method

  45. GENERAL STRENGTHS OF SINGLE- SUBJECT DESIGNS • Is conducted with only one participant or occasionally a very small group. • Tends to be much more flexible than a traditional group study. • Single- subject designs require continuous assessment.

  46. General Weaknesses Of Single- Subject Designs • Participant’s behavior may be affectednot only by the treatment conditions but also by the assessment procedures. • Another concern for single- subject designs is the absence of statistical controls.

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