Identify the strengths and weaknesses of a multiple-baseline design and describe the circumstances in which it should or should not be used.
The strengths and weaknesses of a multiple baseline design and understand the circumstances where it can be used and where it cannot be used
Answer to Problem 10LO
Solution:
Definition of multiple baseline design: In this design multiple persons or aspects are measured both before and after the treatment. The treatments in this design start off at different times. Data is gathered from different subjects, after application of the treatment at different times and inference about the relation is drawn from the same.
Explanation of Solution
Strengths of multiple baseline designs:
- This design allows eliminating the effect of other variables that may influence the relation under study
- The concept of applying treatment at different time allows the researcher flexibility to the research design
- By applying the treatment at different times, and making same observation in all of them, assures the conclusion more loudly
- It provides better internal validity about the observation, since different subjects at different time and situation provide the same outcome
- This design also strengthens the external validity since it allows to generalize the result so obtained by the multiple baseline design
- This design is easy to apply and conceptualize.
Weaknesses of multiple baseline designs:
- There are certain functional relations that may not be clearly understood by this design
- This design is time consuming and requires lot of resources at different locations and time.
- There are chances of covariance occur in such research designs
Circumstances when this design is used:
- It is used in the situation when reversal of the treatment is considered to be unethical
- When practically it is productive to incorporate multiple subjects, this design is ideal
- In situations where withdrawal of the treatment fails to remove the effect of treatment, the reversal design does not work, then the multiple baseline designs help to research such a subject.
Circumstances when this design should not be used:
- It is obvious not to use this design when the subjects behave differently
- If the research deals with one subject on a particular setting observing one particular trait, like some specific kind of illness, in that situation this design cannot be implemented
- There are experiments where more than one intervention is needed. In that case multiple baseline design may not be useful
- When there is deficiency of resources to monitor the multiple subjects at different locations this design may be difficult to be implemented.
Conclusion:
Thus we conclude that multiple baseline design is used when there are more subjects, resources and time available to implement this design efficiently. It must be used when the relation between the variables is not functional. This design provides better demonstration of cause-effect relation.
Want to see more full solutions like this?
Chapter 14 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
- Myrtle Air Express decided to offer direct service from Cleveland to Myrtle Beach. Management must decide between a full-price service using the company’s new fleet of jet aircraft and a discount service using smaller capacity commuter planes. It is clear that the best choice depends on the market reaction to the service Myrtle Air offers. Management developed estimates of the contribution to profit for each type of service based upon two possible levels of demand for service to Myrtle Beach: strong and weak. The following table shows the estimated quarterly profits (in thousands of dollars): Demand for Service Service Strong Weak Full price $960 -$490 Discount $670 $320 1. Suppose that the probability of strong demand is 0.8 and the probability of weak demand is 0.2. What is the optimal decision using the expected value approach?Optimal Decision: Use graphical sensitivity analysis to determine the range of demand probabilities for which each of the decision…arrow_forwardi want Solution Part 3, 4, and 5arrow_forwardIntensive care units (ICUS) generally treat the sickest patients in a hospital. ICUs are often the most expensive department in a hospital because of the specialized equipment and extensive training required to be an ICU doctor or nurse. Therefore, it is important to use ICUs as efficiently as possible in a hospital. According to a 2017 arge-scale study of elderly ICU patients, the average length of stay in the ICU is 3.4 days (Critical Care Medicine journal article). Assume that this length of stay in the ICU has an exponential distribution. Do not round intermediate calculations. What is the probability that the length of stay in the ICU is one day or less (to 4 decimals)? 2857 b. What is the probability that the length of stay in the ICU is between two and three days (to 4 decimals)? What is the probability that the length of stay in the ICU is more than five days (to 4 decimals)? Hide Feedbackarrow_forward
- GreenLawns provides a lawn fertilizing and weed control service. The company is adding a special aeration treatment as a low-cost extra service option, which it hopes will help attract new customers. Management is planning to promote this new service in two media: radio and direct-mail advertising. A media budget of $2,500 Is avallable for this promotional campaign. Based on past experience in promoting its other services, GreenLawns obtained the following estimate of the relationship between sales and the amount spent on promotion in these two media. S = -2R²10M2 - 8RM + 18R+ 34M where S = total sales in thousands of dollars R = thousands of dollars spent on radio advertising M = thousands of dollars spent on direct-mail advertising GreenLawns would like to develop a promotional strategy that will lead to maximum sales subject to the restriction provided by the media budget. (a) What is the value of sales (In dollars) if $1,500 is spent on radio advertising and $1,000 is spent on…arrow_forwardOne of the major measures of the quality of service provided by an organization is the speed with which the organization responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major expansion in the past several years. In particular, the flooring department had expanded from 2 installation crews to an installation supervisor, a measurer, and 15 installation crews. A business objective of the company was to reduce the time between when the complaint is received and when it is resolved. During a recent year, the company received 50 complaints concerning carpet installation. The data from the 50 complaints, represent the number of days between the receipt of the complaint and the resolution of the complaint: 54 5 35 137 31 27 152 2 123 81 74 27 11 19 126 110 110 29 61 35 94 31 26 5 12 4 165 32 29 28 29 26 25 1 14 13 13 10 5 27 4 52 30 22 36 26 20 23 33 68 Construct a histogram and a percentage polygon.arrow_forwardOne of the major measures of the quality of service provided by an organization is the speed with which the organization responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major expansion in the past several years. In particular, the flooring department had expanded from 2 installation crews to an installation supervisor, a measurer, and 15 installation crews. A business objective of the company was to reduce the time between when the complaint is received and when it is resolved. During a recent year, the company received 50 complaints concerning carpet installation. The data from the 50 complaints, represent the number of days between the receipt of the complaint and the resolution of the complaint: 54 5 35 137 31 27 152 2 123 81 74 27 11 19 126 110 110 29 61 35 94 31 26 5 12 4 165 32 29 28 29 26 25 1 14 13 13 10 5 27 4 52 30 22 36 26 20 23 33 68 Construct a frequency distribution and a percentage…arrow_forward
- One of the major measures of the quality of service provided by an organization is the speed with which the organization responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major expansion in the past several years. In particular, the flooring department had expanded from 2 installation crews to an installation supervisor, a measurer, and 15 installation crews. A business objective of the company was to reduce the time between when the complaint is received and when it is resolved. During a recent year, the company received 50 complaints concerning carpet installation. The data from the 50 complaints, represent the number of days between the receipt of the complaint and the resolution of the complaint: 54 5 35 137 31 27 152 2 123 81 74 27 11 19 126 110 110 29 61 35 94 31 26 5 12 4 165 32 29 28 29 26 25 1 14 13 13 10 5 27 4 52 30 22 36 26 20 23 33 68 Construct a cumulative percentage distribution and…arrow_forwardOne of the major measures of the quality of service provided by an organization is the speed with which the organization responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major expansion in the past several years. In particular, the flooring department had expanded from two installation crews to an installation supervisor, a measurer, and 15 installation crews. A business objective of the company was to reduce the time between when the complaint is received and when it is During a recent year, the company received 50 complaints concerning carpet installation. The number of days between the receipt of the complaint and the resolution of the complaint for the 50 complaints are: 54 5 35 137 31 27 152 2 123 81 74 27 11 19 126 110 110 29 61 35 94 31 26 5 12 4 165 32 29 28 29 26 25 1 14 13 13 10 5 27 4…arrow_forwardply provides the more consistent and 21. How do grocery costs compare across the country? Using a market basket of 10 items in- cluding meat, milk, bread, eggs, coffee, potatoes, cereal, and orange juice, Where to Retire magazine calculated the cost of the market basket in six cities and in six retirement areas across the country (Where to Retire, November/December 2003). The data with market basket cost to the nearest dollar are as follows: City Cost Retirement Area Cost Buffalo, NY Des Moines, IA Hartford, CT Los Angeles, CA Miami, FL Pittsburgh, PA $33 27 32 38 Biloxi-Gulfport, MS Asheville, NC Flagstaff, AZ Hilton Head, SC Fort Myers, FL Santa Fe, NM $29 32 32 34 34 31 36 32 Compute the mean, variance, and standard deviation for the sample of cities and the sample of retirement areas. b. a. What observations can be made based on the two samples?arrow_forward
- Recently, management at Oak Tree Golf Course received a few complaints about the condition of the greens. Several players complained that the greens are too fast. Rather than react to the comments of just a few, the Golf Association conducted a survey of 100 male and 100 female golfers. The survey results are summarized here. Excel File: data02-31.xlsx Male Golfers Male Green Condition Handicap Under 15 15 or more 25 25 a. Complete the crosstabulation shown below. Green Condition Gender Too Fast Fine Female 35 40 Too Fast 10 65 60 Fine 40 Total 100 100 Female Golfers 200 Green Condition Handicap Under 15 15 or more Too Fast 1 Note: This exercise is an example of Simpson's Paradox. 39 Fine 9 Total 75 125 Which group shows the highest percentage saying that the greens are too fast? Females, at 40% b. Refer to the initial crosstabulations. For those players with low handicaps (better players), which group (male or female) shows the highest percentage saying the greens are too fast? For…arrow_forwardThere are multiple disciplines including education, psychology, political science, and many others that conduct research and are analyzed using mathematical and statistical techniques to model data. The two models that are most common to use is quantitative and qualitative models. Imagine you are managing a large company and there are many competitors in the market: 1. Describe which modeling approach you would use to analyze data between quantitative and qualitative 2. Explain why you would select that model.arrow_forwardTo determine if additional shelf space to the store brand canned vegetables or increasing advertising expenditures would be more effective strategy to expand sales would I use a simple linear model, multiple linear regression or an interaction model? What equation would I usearrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman