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Chapter 1: Problem 19

A large college class has 160 students. All 160 students attend the lectures together, but the students are divided into 4 groups, each of 40 students, for lab sections administered by different teaching assistants. The professor wants to conduct a survey about how satisfied the students are with the course, and he believes that the lab section a student is in might affect the student's overall satisfaction with the course. (a) What type of study is this? (b) Suggest a sampling strategy for carrying out this study.

Short Answer

Expert verified
(a) Observational study. (b) Use stratified sampling by lab group.

Step by step solution

01

Understanding the Study Type

The exercise asks us to determine the type of study being conducted. This is about understanding if the study is experimental or observational. In this scenario, the professor is gathering information from students without altering any conditions. Since there are no interventions or changes being introduced, this is categorized as an observational study.
02

Define the Sampling Strategy

The sampling strategy needs to ensure that the selected student sample accurately reflects the diversity within the entire group of 160 students, particularly in terms of lab groupings. Since student satisfaction might vary by lab group, using stratified sampling is appropriate. This involves dividing the student population into subgroups (strata) based on their lab section and then randomly selecting a proportionate number of students from each group for the survey.

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Key Concepts

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

Observational Study
An observational study involves collecting data without manipulating or altering the environment or subjects. In this type of study, researchers focus on observing and recording data naturally. There is no intervention applied, and the goal is to gather insights based on existing conditions.

In the context of the student satisfaction survey, the professor is interested in understanding how satisfied students are with their course. Here, he observes the students' responses without influencing or changing their course experience. Since the professor does not experiment or introduce new variables, this qualifies as an observational study.

Observational studies are beneficial when the main objective is to describe a situation, understand relationships, or gather baseline data for future experiments. Their non-intrusive nature makes them ideal in educational settings where altering the course or environment may not be feasible.
Stratified Sampling
Stratified sampling is a method used to ensure different subgroups of a population are adequately represented in the sample. This is especially useful when the population is divided into distinct categories or strata, which could affect the outcome of the survey.

When conducting a student satisfaction survey in the large college class, stratified sampling ensures an equal representation of student opinions from each lab group. Here鈥檚 how it works:
  • Divide the entire group of 160 students into their respective lab sections, creating four strata of 40 students each.
  • Select a random sample from each stratum, maintaining the proportion of the entire population.
This sampling technique reduces bias and increases the chances that the sample accurately reflects the student body's diverse opinions across different lab sections. By doing so, it acknowledges the potential influence of different teaching assistants on student satisfaction, offering more reliable and valid results.
Student Satisfaction Survey
A student satisfaction survey aims to measure how pleased students are with their educational experience. Such surveys provide invaluable feedback that can be used to enhance the learning environment and address any issues students may face.

The survey designed by the professor can cover various aspects of the course, including teaching effectiveness, lab session quality, resources, and overall student engagement.
  • Effectiveness of lectures and lab sessions.
  • Availability and utility of learning resources.
  • Interaction and support provided by teaching assistants.
Collecting this data through a well-structured survey helps the professor identify areas of improvement and recognize strengths. Honest and reflective responses can lead to actionable insights, enhancing student satisfaction and course quality over time. Proper analysis of survey results allows educators to make informed decisions, ultimately benefiting both the instructors and students.

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Most popular questions from this chapter

To assess the effectiveness of taking large doses of vitamin \(\mathrm{C}\) in reducing the duration of the common cold, researchers recruited 400 healthy volunteers from staff and students at a university. A quarter of the patients were assigned a placebo, and the rest were evenly divided between \(1 \mathrm{~g}\) Vitamin \(\mathrm{C}, 3 \mathrm{~g}\) Vitamin \(\mathrm{C},\) or \(3 \mathrm{~g}\) Vitamin C plus additives to be taken at onset of a cold for the following two days. All tablets had identical appearance and packaging. The nurses who handed the prescribed pills to the patients knew which patient received which treatment, but the researchers assessing the patients when they were sick did not. No significant differences were observed in any measure of cold duration or severity 43 between the four medication groups, and the placebo group had the shortest duration of symptoms. (a) Was this an experiment or an observational study? Why? (b) What are the explanatory and response variables in this study? (c) Were the patients blinded to their treatment? (d) Was this study double-blind? (e) Participants are ultimately able to choose whether or not to use the pills prescribed to them. We might expect that not all of them will adhere and take their pills. Does this introduce a confounding variable to the study? Explain your reasoning.

You would like to conduct an experiment in class to see if your classmates prefer the taste of regular Coke or Diet Coke. Briefly outline a design for this study.

Exercise 1.4 introduces a study on using the Buteyko shallow breathing technique to reduce asthma symptoms and improve quality of life. As part of this study 600 asthma patients aged \(18-69\) who relied on medication for asthma treatment were recruited and randomly assigned to two groups: one practiced the Buteyko method and the other did not. Those in the Buteyko group experienced, on average, a significant reduction in asthma symptoms and an improvement in quality of life. (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.

Sir Ronald Aylmer Fisher was an English statistician, evolutionary biologist, and geneticist who worked on a data set that contained sepal length and width, and petal length and width from three species of iris flowers (setosa, versicolor and virginica). There were 50 flowers from each species in the data set. (a) How many cases were included in the data? (b) How many numerical variables are included in the data? Indicate what they are, and if they are continuous or discrete. (c) How many categorical variables are included in the data, and what are they? List the corresponding levels (categories).

In a study of three nationally representative largescale data sets from Ireland, the United States, and the United Kingdom \((\mathrm{n}=17,247)\), 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. \({ }^{46}\) (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.
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