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

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.

Short Answer

Expert verified
Gender could potentially be a useful blocking variable in this study. It's reasonable to assume that gender might influence the status in a group and the 'rate of talk'. By blocking out the effect of gender, researchers can better investigate the effect of status on the 'rate of talk'.

Step by step solution

01

Understanding the concept of a Blocking Variable

A blocking variable is used in experimental design to account for, or 'block out', sources of variability among the observed units. This reduces the 'noise' in the data and can make the effects of the variables of primary interest more apparent.
02

Considering Gender as a Blocking Variable

Gender is chosen as the blocking variable in this study. Gender could indeed influence both one’s status and the way they involve in group discussions, thus influencing the rate of talk.
03

Influences of Gender in Context of Study

Gender might influence how a person is perceived and interacts in a group, as well as how often they participate ('rate of talk'), which is why it's being considered in the study. By accounting for gender, the researchers can more accurately determine whether 'status' affects 'rate of talk' without gender differences confounding the results.
04

Evaluation of Gender as a Blocking Variable

In evaluating whether gender is a useful blocking variable, consider whether it could influence the main variables being studied (in this case, status and rate of talk) and whether it's reasonable to assume that its effects would be consistent across different values of the main variables. If both of these conditions are met, then gender could be a useful blocking variable.

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.

Gender as a Blocking Variable
In experimental studies, identifying variables that could introduce unwanted variability or 'noise' into the data is paramount. This is where blocking variables come into play. A blocking variable is one that could have an impact on the outcome being studied but is not the primary focus of the research. By 'blocking' the variation due to this variable, researchers can isolate the effect of the variables of primary interest more effectively.

In the context of understanding science, a study incorporated gender as a blocking variable when exploring the relationship between status and 'rate of talk' during group discussions. The idea is that gender might influence group dynamics, such as who speaks more or who is taken more seriously within the group. This, in turn, could influence the ability to learn and master science concepts due to different levels of engagement and encouragement in discussions.

Notably, the impact of gender on group interactions is not a new concept. Previous research indicates that gender can affect communication styles and participation rates in groups. Men and women often experience group discussions differently due to societal expectations and norms.

Why Gender is Relevant

Including gender as a blocking variable acknowledges that these experiences can influence how often an individual speaks ('rate of talk') and their perceived status in the group. By blocking gender, the study aims to reduce confounding effects and create a clearer picture of how status alone might influence a student's participation and understanding of science.
Status and Understanding of Science
Status has been recognized as an influential factor in educational settings, particularly in how it relates to student engagement and learning outcomes. High-status students often experience more opportunities to contribute, receive more favorable attention from peers and educators, and have their ideas considered more seriously.

When applied to the learning of science, status could potentially impact a student's understanding by affecting the frequency and quality of their participation during group discussions. Group discussions in science education can crucially influence the formation of concepts, problem-solving skills, and overall engagement with the material.

For example, a higher status student might dominate the conversation, which could either facilitate their own learning by allowing them to articulate concepts and challenge ideas or potentially inhibit the learning of lower status students by reducing their opportunities to engage. Understanding the impact of status on the learning experience can inform teaching methods and group formation strategies. Strategies to balance participation can include assigning rotating roles within groups or establishing discussion norms that encourage contributions from all members, regardless of their perceived status.
Rate of Talk in Group Discussions
The 'rate of talk' can serve as a quantitative measure of engagement in group discussions. In educational settings, this can be defined as the number of on-task speech acts per minute. More frequent participation can suggest higher levels of engagement with the material and the discussion. Conversely, when some students participate less, it may be an indication of several factors, including lower status within the group, shyness, or simply a preference for listening over speaking.

However, the quantity of participation does not always equate to quality. It’s possible for students to participate frequently without substantially contributing to or benefiting from the discussion.

Quality over Quantity

This is why it's essential not only to measure the rate of talk but also to consider the substance of what is said. Educators can encourage students to be concise yet substantive in their contributions. Furthermore, creating an inclusive environment that encourages diverse perspectives can enhance the quality of group discussions, which in turn can positively affect understanding and mastery of complex scientific concepts for all students.

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

\(2.50\) The article "A Debate in the Dentist's Chair" (San Luis Obispo Tribune, January 28,2000 ) described an ongoing debate over whether newer resin fillings are a better alternative to the more traditional silver amalgam fillings. Because amalgam fillings contain mercury, there is concern that they could be mildly toxic and prove to be a health risk to those with some types of immune and kidney disorders. One experiment described in the article used sheep as subjects and reported that sheep treated with amalgam fillings had impaired kidney function. a. In the experiment, a control group of sheep that received no fillings was used but there was no placebo group. Explain why it is not necessary to have a placebo group in this experiment. b. The experiment compared only an amalgam filling treatment group to a control group. What would be the benefit of also including a resin filling treatment group in the experiment? c. Why do you think the experimenters used sheep rather than human subjects?

Sometimes samples are composed entirely of volunteer responders. Give a brief description of the dangers of using voluntary response samples.

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.

For each of the situations described, state whether the sampling procedure is simple random sampling, stratified random sampling, cluster sampling, systematic sampling, or convenience sampling. a. All freshmen at a university are enrolled in 1 of 30 sections of a seminar course. To select a sample of freshmen at this university, a researcher selects 4 sections of the seminar course at random from the 30 sections and all students in the 4 selected sections are included in the sample. b. To obtain a sample of students, faculty, and staff at a university, a researcher randomly selects 50 faculty members from a list of faculty, 100 students from a list of students, and 30 staff members from a list of staff. c. A university researcher obtains a sample of students at his university by using the 85 students enrolled in his Psychology 101 class. d. To obtain a sample of the seniors at a particular high school, a researcher writes the name of each senior on a slip of paper, places the slips in a box and mixes them, and then selects 10 slips. The students whose names are on the selected slips of paper are included in the sample. e. To obtain a sample of those attending a basketball game, a researcher selects the 24 th person through the door. Then, every 50 th person after that is also included in the sample.

The report "Undergraduate Students and Credit Cards in 2004: An Analysis of Usage Rates and Trends" (Nellie Mae, May 2005 ) estimated that \(21 \%\) of undergraduates with credit cards pay them off each month and that the average outstanding balance on undergraduates' credit cards is \(\$ 2169 .\) These estimates were based on an online survey that was sent to 1260 students. Responses were received from 132 of these students. Is it reasonable to generalize the reported estimates to the population of all undergraduate students? Address at least two possible sources of bias in your answer.

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