Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 10, Problem 1E
In addition to the key words, you should also be able to define the following terms:
Individual differences
Differential effects
History
Instrumentation
Order effects
Maturation
Statistical regression
Interrupted time-series designs
Single-case, or single-subject designs
Participant attrition, or participant mortality
Expert Solution & Answer
To determine
The given terms.
Answer to Problem 1E
Solution:
The definitions of the terms are stated below.
Explanation of Solution
- Individual differences: These are personal characteristics that differ from one participant to another.
- Differential effects: The Differential Outcomes Effect is a theory in Behaviorism, a branch of psychology that shows that a positive effect on accuracy occurs in discrimination learning between different stimuli when unique rewards are paired with each individual stimulus.
- History: The term history, refers to the environmental events other than the treatment that changes over time and may affect the scores in one treatment differently than in another treatment.
- Instrumentation: Instrumentation refers to changes in a measuring instrument that occur over time.
- Order effects: When an individual is tested in a series of treatment conditions, participation in one treatment may have an influence on the participants' scores in the treatments that follow and it is referred as order effects.
- Maturation: Any systematic changes in participant's physiology or psychology that occur during a research study and affect the participants' scores are referred to as maturation.
- Statistical regression: This refers to the tendency for extreme scores on any measurements to move towards the mean when the measurement procedure is repeated.
- Interrupted time-series designs: Interrupted time series is a special type of time series where treatment/intervention occurred at a specific point and the series is broken up by the introduction of the intervention.
- Single-case or single-subject designs: In the design of experiments, single-subject design or single-case research design is a research design most often used in the applied fields of psychology, education, and human behavior in which the subject serves as his/her own control, rather than using another individual/group.
- Participant attrition or participant mortality: Participants frequently drop out of experiments whilst they are taking place/before they finish; something that is known as participant mortality or participant attrition.
Conclusion:
The terms defined above are needed to properly understand any statistical experiment.
Want to see more full solutions like this?
Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!
Students have asked these similar questions
a. Based picture, explain respondent's profile.
b. Based picture, explain descriptive analysis for variable.
c. Based picture, explain reliability analysis.
d. Based picture, explain pearson's correlation coefficient.
e. Based picture, explain regression analysis.
Drug use The 2011 World Drug Report investigated theprevalence of drug use as a percentage of the populationaged 15 to 64. Data from 22 European countries are
shown in the following scatterplot and regression analy-sis. (Source: World Drug Report, 2011. www.unodc.org/
unodc/en/data-and-analysis/WDR-2011.html)
Dependent variable is CocaineR-squared = 38.1%s = 0.724 with 22 - 2 = 20 degrees of freedomVariable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 0.35707 0.2757 1.295 0.21Cannabis% 0.14264 0.0406 3.512 0.002a) Explain in context what the regression says.b) State the hypothesis about the slope (both numericallyand in words) that describes how use of marijuana isassociated with other drugs.
c) Assuming that the assumptions for inference are satis-fied, perform the hypothesis test and state your conclu-sion in context.
d) Explain what R-squared means in context.e) Do these results indicate that marijuana use leads tothe use of harder drugs? Explain.
Besides the Regression analysis, spatial analysis, and time series analysis, explain an additional alternative approach to conducting the analysis for explanatory variables and response variables for Meaghan’s post below about a peer-reviewed scientific study that is a strong example of data collection:
Meaghan’s Post:
The below study was completed by conservationists to see and better understand the movement of a specific marine mammal species.
The study was done in the waterways of California. The subject is monitored using a random 1.8; mile movement. Results of this project are analyzed by scientists and researchers. The species is a very curious one which allowed for better care and gained interest before committing to it. Ten observation stations were used about 2.4 km per the intervals were measured at equal intervals throughout. This often feels very accurate because the evidence is supported by science and other similar publications that allow due to interact without being…
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...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardA professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…arrow_forwardA professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…arrow_forward
- A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…arrow_forwardBody Fat. Where we considered the regression of percentage of body fat on nine body measurements: height, weight, hip, forearm, neck, wrist, triceps, scapula, and sup. Describe and discuss problems that could have arisen in the collection of the data for this regression analysis.arrow_forwardThe picture for the dataset for AIDS cases below include the numbers of cases of AIDS in Australia by date of diagnosis for successive 3-month periods from 1984 to 1988. (Data from National Centre for HIV Epidemiology and Clinical Research, 1994.) Answer parts 1, 2, and 3 below. Please explain with detail. 1.) Identify the type and scale of each variable (measurement) 2.) Identify the primary outcome of interest (Y) 3.) Identify the factors that affect the value of Y (X)arrow_forward
- please answer question in images. Thank youarrow_forwardIf i have cross sectional data for multiple years and plan to perform regression using panel techniques (pooled OLS, FE, or RE), which variable would serve as the cross section unit given the following variables (see below)? I believe it would be mode of transportation. If so, do i need to include the mode of transportation in my model as a regressor dummy variable for each mode? This is transportation data: year, mode of transportation (air, train, truck), country of origin, province of origin, country of destination, province of destination, commodities, shipments, revenue, weight.arrow_forward. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…arrow_forward
- . A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…arrow_forwardI need help with all of them plz.arrow_forwardCan you please help with this problem.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage LearningBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
- Functions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY