Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Textbook Question
Chapter 7.1, Problem 1LO
Describe the general purpose of an experimental research study, differentiate experiments from other types of research, and identify examples of experiments.
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Explain the difference between an observational study and an experiment. Give the description of a real-word example of each of these types of studies. Explain the purpose of blinding (single or double) in experimental studies using an example.
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Chapter 7 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 7.1 - Describe the general purpose of an experimental...Ch. 7.1 - Define independent, dependent, and extraneous...Ch. 7.1 - Describe the third-variable problem and the...Ch. 7.2 - Explain why manipulation of an independent...Ch. 7.2 - Explain why control of extraneous variables is a...Ch. 7.2 - Explain how an extraneous variable can become a...Ch. 7.3 - Describe the three primary techniques for...Ch. 7.4 - Describe the purpose for control conditions in...Ch. 7.4 - Explain when a manipulation check is needed,...Ch. 7.4 - Define field studies and simulation, explain why...
Ch. 7 - In addition to the key words, you should also be...Ch. 7 - Dr. Jones conducted a study examining the...Ch. 7 - In an experiment examining human memory, two...Ch. 7 - It has been demonstrated that students with high...Ch. 7 - A researcher would like to compare two methods for...Ch. 7 - Define extraneous variable and explain how...Ch. 7 - Identify the two characteristics needed for a...Ch. 7 - Identify the two active methods of preventing...Ch. 7 - Explain how the process of randomly assigning...Ch. 7 - Can a research study be an experiment without a...Ch. 7 - What is the general purpose of a manipulation...Ch. 7 - What is the general purpose for using a simulation...
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- What is an experiment?arrow_forwardWhat is an experiment? Give two examples.arrow_forwardUrban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forward
- The three basic requirements of valid experiments( Under Control, Independent Variable, and Dependent Variable). Discuss briefly as possible what makes them indispensable requisite to make field experiments valid?arrow_forwardDoes the example represent an observational study or an experiment? Car accident data is obtained from the Ohio database. It is found that more accidents happened at night.arrow_forwardRead through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…arrow_forward
- Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…arrow_forwardWhat does Qualitative data consist of?arrow_forwardAre cigarettes bad for people? Cigarette smoking involves tar, carbonmonoxide, and nicotine. The first two are definitely not good for aperson's health, and the last ingredient can cause addiction, refer to Table 2-16, which was taken from the web site maintained by the Journal of Statistics Education. For more information, visit the web site of the Journal of Statistics Education. Follow the links to the cigarette data. Health: Cigarette Smoke Use the data in Table 2-16 to make a stem-and-leaf display for milligrams of carbon monoxide per cigarette smoked.Are there any outliers?arrow_forward
- What would be a easy suitable research design for this topic. Topic: The impact of unemployment on mental health in St.Vincent.arrow_forwardplease help me solve sub-part darrow_forwardYou are the manager for a family medicine clinic that has 3 physicians. The staff have come to you with an informal observation that there are differences in the number of patients that each physician is seeing each day. As manager, it is your job to make management decisions based on unbiased data. In order to evaluate the situation you collect the number of patients seen by each physician for a 5 day work week. Your observations are provided in the table below. In order to see if there is a significant difference you need to conduct an ANOVA test. DR ID Patients seen 1 15 1 13 1 16 1 14 1 12 2 22 2 20 2 25 2 19 2 18 3 16 3 18 3 15 3 14 3 12 X 16.6arrow_forward
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