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 10, Problem 13E
Explain how a time-series design minimizes most threats to internal validity from time-related variables.
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Chapter 10 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 10.1 - Define, compare, and contrast the experimental,...Ch. 10.2 - Define a nonequivalent group design and identify...Ch. 10.2 - Explain how individual differences threaten the...Ch. 10.2 - Describe the two nonexperimental nonequivalent...Ch. 10.2 - Explain how a simple modification of the...Ch. 10.3 - Define a pre-post design and identify examples of...Ch. 10.3 - Identify the threats to internal validity for...Ch. 10.3 - Describe the nonexpenmental pretest-posttest...Ch. 10.3 - Explain how replacing the single observation...Ch. 10.4 - Define cross-sectional and longitudinal designs,...
Ch. 10.5 - Identify the statistical techniques that are...Ch. 10.5 - Explain how the terms quasi-independent variable...Ch. 10 - In addition to the key words, you should also be...Ch. 10 - Explain the distinction between experimental and...Ch. 10 - Why are studies that examine the effects of aging...Ch. 10 - Explain why we can be more confident about causal...Ch. 10 - Give an example of a situation (aside from gender)...Ch. 10 - Mueller and Oppenheimer (2014) conducted a series...Ch. 10 - A researcher measures personality characteristics...Ch. 10 - A researcher wants to describe the effectiveness...Ch. 10 - Explain how the pretest helps minimize the threat...Ch. 10 - Describe the basic characteristics of a pre-post...Ch. 10 - To evaluate the effectiveness of a new television...Ch. 10 - What characteristic differentiates a pretest-post...Ch. 10 - Explain how a time-series design minimizes most...Ch. 10 - A researcher wants to describe how fine motor...Ch. 10 - Although the cohort effect can be a serious...Ch. 10 - Identify the appropriate statistical test for each...Ch. 10 - The college offers all students an optional...
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- Can you get higher accuracy in the time series regression model than the decision tree model? Also, state an example if this can happen?arrow_forwardTrue/False Censoring occurs when the event of interest (e.g., disease status) is observed on every individual, usually due to time constraints. The incidence rate (IR), is computed by taking the ratio of the number of new cases of disease to the total number of person-time units available. The prevalence of a disease depends on the incidence of the disease as well as the duration of the disease.arrow_forwardMalak is designing an experiment. In this experiment, he wants know if "learning about sustainable investing" actually causes people to invest more sustainably. He sets up an experiment with two groups: one group receives a course on sustainable investing , the other group does not . Then, over the course of the next 10 years, sustainable investing behavior is measured (so as a researcher Malak keeps track of the participants ' investing behavior with their own money in their life, at yearly intervals , for one decade ). What type of experiment is this ? Solomon four group design longitudinal experiment None of the listed answers is correct one shot case study before -after with control group designarrow_forward
- A certain agency has a goal of reducing the death and disease caused by tobacco use and exposure to second-hand smoke. One of the many responsibilities of the agency is to collect data on tobacco use. Suppose the following data show the percentage of adults in the United States who were users of tobacco during an 11-year period: Percent of Adults Who St Percent of Adults Who Smoke Year Percentage of Adults Who Smoke b₁ = bo = 2 1 20 15 3 8 (a) Construct a time series plot. 25 10 4 9 5 10 6 11 20 7 10 5 O No 25- 15+ 5 0 2 2 4 22.6 22.3 21.4 20.7 20.7 20.5 19.6 20.3 20.4 19.1 18.7 6 Period What type of pattern exists in the data? 6 Period 8 8 10 10 12 12 The time series plot exhibits a horizontal pattern. The time series plot exhibits a cyclical pattern. The time series plot exhibits a seasonal pattern. The time series plot exhibits a trend pattern. no Percent of Adults Who Smoke ǝ Percent of Adults Who Smoke O 25 20 15- 10- 5 25 20 0 15- 10+ 0 0 2 2 4 4 6 Period 6 Period 8 8 10 12 (b)…arrow_forwardConsider the following time series data for the real consumption of households and government, at current PPPS (in billions 2017USS). In year 2018, the first lagged value of the real consumption is and the first difference is_ Year 2015 2016 2017 2018 2019 1 3 4 5 rcon, | 1267|| 1307 1375 1413 A. 1307; -38 B. 1375; 38. O C.unknown; unknown. D. 1413; unknownarrow_forwardFor this question, create a new column in the dataset where total rainfall is just the sum of our three separate rainfall variables. (Solve this question by Excel and econmetrics knowlege like time series) (a) plot crop yield vs. time. Does yield appear to be stationary? Why or why not? (b) plot total rainfall vs. time. Does total rainfall appear to be stationary? Why or why not? (c) plot the first-difference of crop yield vs. time. Does this series appear to be stationary? Why or why not? (d) formally test whether crop yield, rainfall and the first-difference of crop yield are stationary using the appropriate test. Be sure to do all parts of the hypothesis tests. After these tests, what can you say the order of integration is for each of the variables?(e) estimate a model where yield is a function of rainfall and time. You do not have to worry about the time variable being stationary or not, but the other two must be stationary (you might need to difference one or both of them to…arrow_forward
- Explain the time series regression model assumptions?arrow_forwardYou gave a forecast only for 1 month !!! Based on the task 2 month needed Graph initial and smoothed time series. Does your forecast seem to be reasonable? Explain your answer.arrow_forwardThe demand for a product for the last six years has been 15, 15, 17, 18, 20, and 19. The manager wants to predict the demand for this time series using the following simple linear trend equation: trt = 12 + 2t. What are the forecast errors for the 5th and 6th years?arrow_forward
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