Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Explain why some studies include both a control group and a placebo treatment. What additional comparisons are possible if both a control group and a placebo group are included?

Short Answer

Expert verified
Studies include both a control group and a placebo treatment to control for different sources of bias – the control group for external factors and the placebo group for psychological factors. If both groups are included, apart from comparing the treatment effects with the control and the placebo group, one can also compare the placebo group with the control group to assess the significance of the placebo effect and determine the true therapeutic effect.

Step by step solution

01

Understand the role of the control group and placebo treatment

A control group in a study is used to provide a baseline measure. It's a group that doesn't receive any treatment or intervention and allows researchers to see what would happen without any influence. A placebo treatment, on the other hand, is designed to resemble the actual treatment but doesn't have any therapeutic value. It's used to control for the psychological benefits of treatment.
02

Explain why studies include both a control group and a placebo treatment

Studies include both a control group and a placebo treatment to address two different sources of bias. The control group helps control for any changes that might happen over time that are not related to the treatment (external factors). The placebo group helps control for the effects of receiving any kind of treatment (psychological factors), as sometimes, people may show improvements simply because they believe they are receiving treatment, known as the placebo effect.
03

Identify additional comparisons if both control and placebo groups are included

If both a control group and a placebo group are included, apart from comparing the treatment group with each of them separately, one can also compare the placebo group with the control group. This can show whether the placebo effect is significant in this particular study. It can additionally allow for the assessment of the true therapeutic effect, which is the difference between the treatment result and the placebo effect.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Is status related to a student's understanding of science? The article "From Here to Equity: The Influence of Status on Student Access to and Understanding of Science" (Culture and Comparative Studies [1999]: \(577-\) 602) described a study on the effect of group discussions on learning biology concepts. An analysis of the relationship between status and "rate of talk" (the number of ontask speech acts per minute) during group work included gender as a blocking variable. Do you think that gender is a useful blocking variable? Explain.

A pollster for the Public Policy Institute of California explains how the Institute selects a sample of California adults ("It's About Quality, Not Quantity," San Luis Obispo Tribune, January 21,2000 ): That is done by using computer-generated random residential telephone numbers with all California prefixes, and when there are no answers, calling back repeatedly to the original numbers selected to avoid a bias against hard-to- reach people. Once a call is completed, a second random selection is made by asking for the adult in the household who had the most recent birthday. It is as important to randomize who you speak to in the household as it is to randomize the household you select. If you didn't, you'd primarily get women and older people. Comment on this approach to selecting a sample. How does the sampling procedure attempt to minimize certain types of bias? Are there sources of bias that may still be a concern?

Researchers at the University of Pennsylvania suggest that a nasal spray derived from pheromones (chemicals emitted by animals when they are trying to attract a mate) may be beneficial in relieving symptoms of premenstrual syndrome (PMS) (Los Angeles Times, January 17 , 2003 ). a. Describe how you might design an experiment using 100 female volunteers who suffer from PMS to determine whether the nasal spray reduces PMS symptoms. b. Does your design from Part (a) include a placebo treatment? Why or why not? c. Does your design from Part (a) involve blinding? Is it single-blind or double-blind? Explain.

Pismo Beach, California, has an annual clam festival that includes a clam chowder contest. Judges rate clam chowders from local restaurants, and the judging is done in such a way that the judges are not aware of which chowder is from which restaurant. One year, much to the dismay of the seafood restaurants on the waterfront, Denny's chowder was declared the winner! (When asked what the ingredients were, the cook at Denny's said he wasn't sure - he just had to add the right amount of nondairy creamer to the soup stock that he got from Denny's distribution center!) a. Do you think that Denny's chowder would have won the contest if the judging had not been "blind"? Explain. b. Although this was not an experiment, your answer to Part (a) helps to explain why those measuring the response in an experiment are often blinded. Using your answer in Part (a), explain why experiments are often blinded in this way.

Suppose that you were asked to help design a survey of adult city residents in order to estimate the proportion that would support a sales tax increase. The plan is to use a stratified random sample, and three stratification schemes have been proposed. Scheme 1: Stratify adult residents into four strata based on the first letter of their last name (A-G, \(\mathrm{H}-\mathrm{N}, \mathrm{O}-\mathrm{T}, \mathrm{U}-\mathrm{Z})\) Scheme 2: Stratify adult residents into three strata: college students, nonstudents who work full time, nonstudents who do not work full time. Scheme 3: Stratify adult residents into five strata by randomly assigning residents into one of the five strata. Which of the three stratification schemes would be best in this situation? Explain.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free