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Chapter 1: Problem 4

The Buteyko method is a shallow breathing technique developed by Konstantin Buteyko, a Russian doctor, in 1952. Anecdotal evidence suggests that the Buteyko method can reduce asthma symptoms and improve quality of life. In a scientific study to determine the effectiveness of this method, researchers recruited 600 asthma patients aged \(18-69\) who relied on medication for asthma treatment. These patients were randomly split into two research groups: one practiced the Buteyko method and the other did not. Patients were scored on quality of life, activity, asthma symptoms, and medication reduction on a scale from 0 to 10 . On average, the participants in the Buteyko group experienced a significant reduction in asthma symptoms and an improvement in quality of life. \({ }^{11}\) (a) Identify the main research question of the study. (b) Who are the subjects in this study, and how many are included? (c) What are the variables in the study? Identify each variable as numerical or categorical. If numerical, state whether the variable is discrete or continuous. If categorical, state whether the variable is ordinal.

Short Answer

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(a) To assess the effectiveness of the Buteyko method on asthma symptoms and quality of life. (b) 600 asthma patients aged 18-69. (c) Numerical, discrete, and ordinal variables: quality of life, activity, asthma symptoms, medication reduction.

Step by step solution

01

Determine the Main Research Question

The main research question of the study is to determine if the Buteyko method is effective in reducing asthma symptoms and improving the quality of life for asthma patients.
02

Identify the Subjects and Their Number

The subjects in this study are asthma patients who are aged between 18 and 69 years and rely on medication for treatment. There are a total of 600 patients who are included in this study.
03

Identify the Variables

There are four main variables in this study: quality of life, activity, asthma symptoms, and medication reduction. Each is measured on a scale from 0 to 10.
04

Classify Each Variable

All four variables (quality of life, activity, asthma symptoms, and medication reduction) are numerical variables because they are measured on a numerical scale. Since the scale is a fixed set of integers from 0 to 10, these variables are discrete. Additionally, these variables are ordinal because they imply a ranking order (e.g., higher scores indicate better outcomes).

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Key Concepts

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

Asthma Research
Asthma research focuses on understanding the causes, effects, and potential treatments of asthma鈥攁 chronic respiratory condition that affects millions worldwide. In this particular study, the central question was "Is the Buteyko method effective in reducing asthma symptoms and enhancing the quality of life?" Researchers conducted an experimental study by recruiting 600 asthma patients to investigate this. This approach allows researchers to gather quantitative data, making the results more reliable and valid. Such studies are critical in providing a scientific basis for treatments, influencing healthcare recommendations and patient outcomes.
Numerical Variables
Numerical variables are essential in statistical studies because they provide measurable data. In this experimental study on asthma, the main variables include quality of life, activity, asthma symptoms, and medication reduction. Each is assigned a score from 0 to 10, representing discrete numerical variables. Discrete variables have distinct, separate values and are often countable, like the scores in this study. Furthermore, these variables are ordinal. This means they not only have a set value but also an inherent order, with higher values indicating better results. This ordinal nature helps in comparing the changes and improvements among participants systematically.
Categorical Variables
Categorical variables categorize or label the subjects in a study, but do not measure in numerical terms. Unlike numerical variables, categorical ones divide subjects into groups based on characteristics or qualities. For instance, in this study, while the primary focus was on numerical data, the groups themselves (Buteyko method users and non-users) are categorical. Categorical variables can be nominal (no order) or ordinal (ordered), though in this study, the grouping is nominal. Understanding these divisions helps researchers in segmenting study data and drawing specific conclusions on how different categories of subjects respond differently to treatments.
Research Methodology
Research methodology involves the strategic process of planning and conducting studies, ensuring that conclusions are credible and validated. In this asthma study, the researchers employed a randomized controlled trial, a gold standard in experimental research. This method entails dividing participants into two groups randomly, which helps eliminate biases and ensures that differences in outcomes are due to the treatment itself, not pre-existing differences among groups. Such a design is instrumental in testing the efficacy of treatments like the Buteyko method, offering robust evidence that can guide practical applications in medical practice.

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Most popular questions from this chapter

Chia seeds and weight loss. Chia Pets - those terra-cotta figurines that sprout fuzzy green hair made the chia plant a household name. But chia has gained an entirely new reputation as a diet supplement. In one 2009 study, a team of researchers recruited 38 men and divided them randomly into two groups: treatment or control. They also recruited 38 women, and they randomly placed half of these participants into the treatment group and the other half into the control group. One group was given 25 grams of chia seeds twice a day, and the other was given a placebo. The subjects volunteered to be a part of the study. After 12 weeks, the scientists found no significant difference between the groups in appetite or weight loss. 33 (a) What type of study is this? (b) What are the experimental and control treatments in this study? (c) Has blocking been used in this study? If so, what is the blocking variable? (d) Has blinding been used in this study? (e) Comment on whether or not we can make a causal statement, and indicate whether or not we can generalize the conclusion to the population at large.

Stealers, scope of inference. Exercise 1.6 introduces a study on the relationship between socioeconomic class and unethical behavior. As part of this study 129 University of California Berkeley undergraduates were asked to identify themselves as having low or high social-class by comparing themselves to others with the most (least) money, most (least) education, and most (least) respected jobs. They were also presented with a jar of individually wrapped candies and informed that the candies were for children in a nearby laboratory, but that they could take some if they wanted. After completing some unrelated tasks, participants reported the number of candies they had taken. It was found that those who were identified as upper-class took more candy than others. (a) Identify the population of interest and the sample in this study. (b) Comment on whether or not the results of the study can be generalized to the population, and if the findings of the study can be used to establish causal relationships.

Screens, teens, and psychological well-being. In a study of three nationally representative largescale data sets from Ireland, the United States, and the United Kingdom (n \(=17,247\) ), teenagers between the ages of 12 to 15 were asked to keep a diary of their screen time and answer questions about how they felt or acted. The answers to these questions were then used to compute a psychological well-being score. Additional data were collected and included in the analysis, such as each child's sex and age, and on the mother's education, ethnicity, psychological distress, and employment. The study concluded that there is little clear-cut evidence that screen time decreases adolescent well- being. \({ }^{35}\) (a) What type of study is this? (b) Identify the explanatory variables. (c) Identify the response variable. (d) Comment on whether the results of the study can be generalized to the population, and why. (e) Comment on whether the results of the study can be used to establish causal relationships.

Cheaters, scope of inference. Exercise 1.5 introduces a study where researchers studying the relationship between honesty, age, and self-control conducted an experiment on 160 children between the ages of 5 and 15 . The researchers asked each child to toss a fair coin in private and to record the outcome (white or black) on a paper sheet, and said they would only reward children who report white. Half the students were explicitly told not to cheat and the others were not given any explicit instructions. Differences were observed in the cheating rates in the instruction and no instruction groups, as well as some differences across children's characteristics within each group. (a) Identify the population of interest and the sample in this study. (b) Comment on whether or not the results of the study can be generalized to the population, and if the findings of the study can be used to establish causal relationships.

US Airports. The visualization below shows the geographical distribution of airports in the contiguous United States and Washington, DC. This visualization was constructed based on a dataset where each observation is an airport. (a) List the variables used in creating this visualization. (b) Indicate whether each variable in the study is numerical or categorical. If numerical, identify as continuous or discrete. If categorical, indicate if the variable is ordinal.
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