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

A humor piece published in the British Medical Journal ("Parachute use to prevent death and major trauma related to gravitational challenge: systematic review of randomized control trials," Gordon, Smith, and Pell, \(B M J, 2003: 327\) ) notes that we can't tell for sure whether parachutes are safe and effective because there has never been a properly randomized, doubleblind, placebo-controlled study of parachute effectiveness in skydiving. (Yes, this is the sort of thing statisticians find funny \(\ldots\).) Suppose you were designing such a study: a) What is the factor in this experiment? b) What experimental units would you propose? c) What would serve as a placebo for this study? d) What would the treatments be? e) What would the response variable be? f) What sources of variability would you control? g) How would you randomize this "experiment"? h) How would you make the experiment double-blind?

Short Answer

Expert verified
The factor is parachute use; skydivers are the units; a backpack is the placebo; treatments are parachute or no parachute; the response is survival; control jump conditions; randomize assignments; keep participants and researchers blind.

Step by step solution

01

Identify the Factor

The factor in the experiment refers to the variable that is being changed or manipulated to observe its effects. In this study, the factor is whether a parachute is used or not during skydiving.
02

Determine Experimental Units

Experimental units are the subjects or entities on which the experiments are conducted. In this context, the experimental units would be the skydivers participating in the study.
03

Suggest a Placebo

A placebo is the control treatment that mimics the experimental treatment without containing the active component. In this scenario, the placebo would be a backpack that looks and feels like a parachute but does not function as one.
04

Define Treatments

The treatments in this study are the actual interventions that are applied for comparison. Here, the treatments are: (1) jumping with a real parachute, and (2) jumping with a placebo backpack.
05

Identify the Response Variable

The response variable is the outcome that is measured to determine the effect of the treatments. In this study, the response variable could be survival or the presence of trauma after the skydive.
06

Control Sources of Variability

To ensure accurate results, it's important to control variables that could cause differences in outcomes. Possible sources of variability to control include weather conditions, altitude of jump, and experience level of the skydivers.
07

Explain Randomization Process

Randomization helps eliminate bias by distributing potential differences evenly across treatment groups. Participants should be randomly assigned to either the parachute or placebo group, possibly using computer-generated random numbers.
08

Describe Double-Blind Process

A double-blind study ensures that neither the subjects nor the researchers know who is receiving which treatment to prevent bias. In this study, this could involve the skydivers not knowing whether their packs contain a parachute, and researchers having codes for each pack that are revealed only after the study is complete.

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!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Randomized Control Trials
Randomized Control Trials (RCTs) are the gold standard in testing the efficacy of treatments in scientific studies. They involve randomly assigning participants into groups to receive different interventions, usually a treatment or a control like a placebo. This random assignment helps ensure that any differences in outcomes can be attributed specifically to the intervention, rather than pre-existing differences between groups. Randomization is key: - It reduces bias by evenly distributing unknown variables across treatment groups. This means any unforeseen factors do not skew results. - It enhances the credibility of the results, making the findings more generalizable. RCTs are crucial in fields like medicine, where understanding the true effectiveness of a drug or procedure is essential before widespread use. They provide high-quality evidence by rigorously comparing results between groups.
Placebo
A placebo is an inactive substance or treatment designed to mimic the experimental treatment in a study without having therapeutic effects. It serves as a control to help researchers observe the actual impact of the treatment being tested by providing a baseline comparison. Why use a placebo? - It isolates the effect of the treatment from psychological effects. Knowing they are receiving a treatment, participants might experience changes in conditions (like a reduction in pain) due to expectations, not because the treatment is effective. - It helps ensure that any changes in the condition of participants are due to the active drug or therapy, not influenced by factors like the natural course of the condition or participant expectations. In the context of the parachute study: using a placebo, like a backpack that looks and feels like a parachute, allows researchers to compare the true effect of the parachute itself against the strong psychological assurance it usually provides.
Double-Blind
A double-blind study design is where neither the participants nor the experimenters know who is receiving a particular treatment. This approach minimizes bias, as expectations or beliefs about the treatment cannot influence the outcome. Benefits of double-blind studies include: - Preventing researcher bias: even unconsciously, researchers might treat subjects differently depending on their knowledge of the treatment. - Limiting the placebo effect: participants do not know if they are receiving the treatment or a placebo, which helps in understanding the actual effectiveness of the treatment. To implement a double-blind design in the hypothetical parachute study, participants would be gearing up without knowing the contents of their backpack. Similarly, researchers would use coded packs, only revealed after study completion, to ensure unbiased data collection and analysis. This method is essential for maintaining objectivity and validity in experimental results.

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

Recently, a group of adults who swim regularly for exercise were evaluated for depression. It turned out that these swimmers were less likely to be depressed than the general population. The researchers said the difference was statistically significant. a) What does "statistically significant" mean in this context? b) Is this an experiment or an observational study? Explain. c) News reports claimed this study proved that swimming can prevent depression. Explain why this conclusion is not justified by the study. Include an example of a possible lurking variable.

Exercise 10 describes an experiment showing that exercise helped people sleep better. The experiment involved other groups of subjects who didn't exercise. Why didn't the experimenters just have everyone exercise and see if their ability to sleep improved?

Athletes who had suffered hamstring injuries were randomly assigned to one of two exercise programs. Those who engaged in static stretching returned to sports activity in a mean of \(15.2\) days faster than those assigned to a program of agility and trunk stabilization exercises. ( Journal of Orthopaedic \(\mathcal{E}\) Sports Physical Therapy 34 [March \(2004]: 3)\)

When spending large amounts to purchase advertising time, companies want to know what audience they'll reach. In January \(2007, \mathrm{a}\) poll asked 1008 American adults whether they planned to watch the upcoming Super Bowl. Men and women were asked separately whether they were looking forward more to the football game or to watching the commercials. Among the men, \(16 \%\) were planning to watch and were looking forward primarily to the commercials. Among women, \(30 \%\) were looking forward primarily to the commercials. a) Was this a stratified sample or a blocked experiment? Explain. b) Was the design of the study appropriate for the advertisers' questions?

Coffee stations in offices often just ask users to leave money in a tray to pay for their coffee, but many people cheat. Researchers at Newcastle University replaced the picture of flowers on the wall behind the coffee station with a picture of staring eyes. They found that the average contribution increased significantly above the well-established standard when people felt they were being watched, even though the eyes were patently not real. (NY Times \(12 / 10 / 06)\) a) Was this a survey, an observational study, or an experiment? How can we tell? b) Identify the variables. c) What does "increased significantly" mean in a statistical sense? 7-20. What's the design? Read each brief report of statistical research, and identify a) whether it was an observational study or an experiment. If it was an observational study, identify (if possible) b) whether it was retrospective or prospective. c) the subjects studied and how they were selected.

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