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callie callie
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6 years ago
Describe the strengths and weaknesses of cross-sectional and longitudinal research.
 
  What will be an ideal response?



The Green Team has won nine weeks in a row, and the Blue Team is angry and wonders what the point is in continuing to try. This is classified as ____.
 
  a. diffusion of treatment
 b. compensatory rivalry
 c. resentful demoralization
 d. compensatory equalization



A psychologist would call the food that was poured into Fido's food dish the
 
  a. unconditioned stimulus.
  b. conditioned stimulus.
  c. positivereinforcer.
  d. primaryreinforcer.



Describe how the relationship between memory ability and age could be examined using a cross-sectional design. How would the relationship be examined with a longitudinal design?
 
  What will be an ideal response?



The Green Team has won six weeks in a row, and the Blue Team, rather than being discouraged, is working their weight loss program with extra determination. This is classified as ____.
 
  a. diffusion of treatment
 b. compensatory rivalry
 c. resentful demoralization
 d. compensatory equalization



For classical conditioning to occur, it is important for the CS _______ the US.
 
  a. to coincide with
  b. to predict
  c. to be similar to
  d. to be presented after



Describe the similarities and differences between time-series and interrupted time-series designs.
 
  What will be an ideal response?



This week, the Green Team has won some special exercise training. Somehow, a Blue Team member manages to observe the training session and shares the training with the rest of the Blue Team. This is classified as ____.
 
  a. diffusion of treatment
 b. compensatory rivalry
 c. resentful demoralization
 d. compensatory equalization



In the multiple baseline design, different behaviors or different people receive baseline periods of varying length
 
  a. after the independent variable.
  b. before the independent variable.
  c. concurrently with the independent variable.
  d. in a random fashion.



Describe the fundamental flaw that prevents a pre-post design from being a true experiment. (That is, why can't these designs produce an unambiguous cause-and-effect explanation?) Explain how the series of observations before the treatment help reduce this problem.
 
  What will be an ideal response?
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Replies
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6 years ago
The advantages of the cross-sectional study include that the data can be collected in a short period of time and it does not require long-term cooperation between the researchers and the participant. The disadvantages of the cross-sectional study include that individual changes cannot be assessed and the problem of cohort or generation effects. The advantages of the longitudinal study include the ability to assess individual change. The disadvantages of longitudinal research include that it is time consuming, bias can be created when participants drop out of the study, and the potential for practice effects.

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c

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A

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Cross-sectional study would compare separate groups of participants, for example, a group of 60-year-old adults, a group of 70-year-old adults, and a group of 80-year-old adults. Memory ability would be measured for all three groups and the scores would be compared. The corresponding longitudinal study would evaluate memory ability for one group of participants at three different times: first when they are 60 years old, again when they are 70 years old, and finally when they are 80 years old.

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b

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B

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Both time-series designs require a series of observations for each participant before and after a treatment or event. Both designs are quasi-experimental designs. In the time-series design, the event that occurs in the middle of the series of observations is actually a treatment manipulated or administered by the researcher. In contrast, in the interrupted time-series design, the researcher does not manipulate the intervening event. This design can be used to evaluate the influence of outside events such as natural disasters.

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a

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B

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The basic flaw with a pre-post design is that the observations take place over time, which means that other events that change over time have an opportunity to influence the results. For example, a typical time-series study compares observations before treatment with observations after treatment. Although the treatment may be responsible for causing a difference between the two sets of observations, it also is possible that other, time-related factors may have caused the scores to change. Thus, there are always two possible explanations for the differences that are found in a time-series study. This problem is reduced if the study uses a series of observations before the treatment is administered. If outside factors such as history or maturation are influencing the scores, the influence should be seen in the pretest series of observations. If there are no differences among the pretest observations, you can be more confident that outside factors are not affecting the data.
callie Author
wrote...
6 years ago
Nice!
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