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32 Cards in this Set

  • Front
  • Back
Applied Research
can solve real problems and contribute knowledge to the field of pyschology
4 Design Problems in Applied Research
Ethical Dilemmas

Reduction of Internal Validity and Increase in External

Problems Unique to B/N Subjects Designs: nonequivalent groups > reduced internal validity > maturation or history > matching can lead to regression problems

Problems Unique to W/N Subjects Designs: unable to counterbalance properly > uncontrolled sequence effects and/or attrition
Conclusions that can be drawn from:

Manipulated Variables

Subject Variables
Can draw conclusions of causality.

Since all cannot be held constant, we can not eliminate alternative explanations: cannot determine causality.
"True" Experiments include:
manipulated dependent variables

equivalent groups for b/n subjs or counterbalancing for w/n subjs
Quasi-Experiments
when there is incomplete control over the variables in a study and casual conclusions cannot be drawn

can be used when random assignment is impossible
Quasi-Experimental Designs
Single-factor nonequivalent designs, with two or more levels

Nonequivalent groups factorial design

PxE factorial designs

Correlational Research*

Simulated Pretest-Posttest Control Group

Nonequivalent Control Group with Pretest and Posttest

Interrupted Time Series Design

Nonequivalent Control Group Design with Posttest Only

Multiple Time Series Design
Simulated Pretest-Postest Control Group
Does military service improve self-esteem?

One pool of participants

All participants are already being/going to be exposed to Treatment

Obtain Subjects who are already signed up for T. (military service)

Half are given pretest only
Other half are given posttest only
^ ^ ^
made acceptable with random assignment & rules out testing confounds

attrition is possible

Choose to Use When You Have No Control Over Treatment
Nonequivalent Control Group Design with Pretest and Posttest
8th Grade "Say No to Smoking" Campaign

Two different groups
1 Target and 1 Comparison

Comparison group matches Target but does not receive Treatment

Remember to describe how to measure (e.g. survey)

Compare change between tests and groups
Interrupted Time Series Design
Did the institution of capital punishment in 2000 deter violent crime in that state?

Pretest and Posttest observations taken

Use Archival Data

Measure number of incidences before and after
Nonequivalent Control Group Design with Posttest Only
Choose to use when pretest is impossible

Used to study the impact of an event

Need a matched comparison group

Obtain data from archives
Multiple Time Series Design
Target group and comparison group

Observations taken before and after
Regression and Matching
An attempt to reduce inequivalency through matching can inhance the possibility of regression effects.
The main advantage of Interrupted Time Series Design
Trends: predictable patterns.d
Content Analysis
any systematic examination of qualitative information in terms of predefined categories
Program Evaluation
Includes:

procedures for determining a true need

is the program running as planned

methods for evaluating program outcomes

cost analysis
Needs Analysis
Does a population of sufficient size exists that would benefit from the proposed program?
Identifying Need
Census Data

Surveys of available resources

Surveys of pontential users

Key informants, focus groups, and community forums
Formative Evaluation
monitoring the progress of a program while its in progress
Program Audit
how the program is being used

if the program is being implemented as planned

how the program is being used

(program improvement)
Summative Evaluations
overall assessments of program effectiveness
Cost-Effectiveness Analysis
monitoring the actual costs of a program and relating those costs to the effectiveness of the program's outcome
Reasons for Small N Designs
Large N studies can fail to have individual-subject validity.

Potential participants are rare or hard to find.

Skinner's argument: should be inductive from specific cases to general laws of behavior.
Operant Conditioning
process in which the frequency of behavior is modified by consequences of behavior
Rate of Response
favored dependent variable of researchers working in the Skinnerian tradition; how frequently a behavior occurs per unit of time
Cumulative Recorder
apparatus for recording the subject's cumulative rate of response in operant conditioning studies
Elements of Single-Subject Designs
Since there is no control group, behavior must be shown as a result of treatment.

Target behavior must be operationally defined.

Establishment of a baseline.

Begin treatment and continue monitoring behavior.
ABA Design

(heart of Single Subject Designs)
Establish a steady baseline

Incorporate Treatment

Withdraw Treatment
ABAB Design


Weaknesses
Same as ABA, but treatment is readministered.

Subject can become sensitized
Experimenter bias
Sequencing effects
Multiple Baseline Design
For use when treatment is powerful enough to have lasting effects.

Involves either different:
subjects,
settings, or
behaviors.
Changing Criterion Design
Baseline and several criterions (e.g. increase of minutes of exercise)
Alternating Treatments Design
Baseline and two treatments (B and C) are repeatedly administered in random order.
Case Study
a detailed description and analysis of a single individual or individual event.