Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. Identify the problems and briefly explain how they are eliminated or reduced with a repeated-measures study. Independent-measures study is used in the study.
Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures
jernplate8
2021-02-16
Answered
You can still ask an expert for help
Expert Answer
Delorenzoz
Answered 2021-02-17
Author has 91 answers
Justification:
Since, participants produce different scores from one person to another and the independent-measures study is used. The first problem is the large differences in scores of participants because of grouping. Since, groups are independent so, there are chances that 2 groups are formed in such a way that they differ a lot in some characteristics. So, there can be large differences in participants score by grouping only.
Second problem can be the large variance, since, there exist individual differences of score due to which overall variance increases.
Both the problems can be eliminated by using repeated-measures study design because in this study participants in both the groups are same, therefore there will not be grouping error. Also, in repeated-measures study design, individual variance vanishes.
Conclusion:
The problems in independent measures design are grouping error and larger variance because of individual variances. The problems can be eliminated by using repeated-measures design.
Since, participants produce different scores from one person to another and the independent-measures study is used. The first problem is the large differences in scores of participants because of grouping. Since, groups are independent so, there are chances that 2 groups are formed in such a way that they differ a lot in some characteristics. So, there can be large differences in participants score by grouping only.
Second problem can be the large variance, since, there exist individual differences of score due to which overall variance increases.
Both the problems can be eliminated by using repeated-measures study design because in this study participants in both the groups are same, therefore there will not be grouping error. Also, in repeated-measures study design, individual variance vanishes.
Conclusion:
The problems in independent measures design are grouping error and larger variance because of individual variances. The problems can be eliminated by using repeated-measures design.
Not exactly what you’re looking for?
This is helpful
You might be interested in
asked 2021-01-31
The centers for Disease Control reported the percentage of people 18 years of age and older who smoke (CDC website, December 14, 2014). Suppose that a study designed to collect new data on smokers and Questions Navigation Menu preliminary estimate of the proportion who smoke of .26.
a) How large a sample should be taken to estimate the proportion of smokers in the population with a margin of error of .02?(to the nearest whole number) Use 95% confidence.
b) Assume that the study uses your sample size recommendation in part (a) and finds 520 smokers. What is the point estimate of the proportion of smokers in the population (to 4 decimals)?
c) What is the 95% confidence interval for the proportion of smokers in the population?(to 4 decimals)?
a) How large a sample should be taken to estimate the proportion of smokers in the population with a margin of error of .02?(to the nearest whole number) Use 95% confidence.
b) Assume that the study uses your sample size recommendation in part (a) and finds 520 smokers. What is the point estimate of the proportion of smokers in the population (to 4 decimals)?
c) What is the 95% confidence interval for the proportion of smokers in the population?(to 4 decimals)?
asked 2020-11-16
The most appropriate study design depends, among other things, on the distribution of
1.A) The risk factor in the population of interest
2.B) The participants
3.C) The outcome in the population of interest
4.D)
asked 2021-11-29
Find the mean of the following data: 12,10,15,10,16,12,10,15,15,13
asked 2021-11-30
The databelow list the number of laptop computers owned by families in each of 40 homes in a subdivision. Draw the frequency distribution of the following list of data. Then find their mean, median and mode. Show your solution.
2 0 3 1 2 1 0 4
2 1 1 7 2 0 1 1
0 2 2 1 3 2 2 1
1 4 2 5 2 3 1 2
2 1 2 1 5 0 2 5
2 0 3 1 2 1 0 4
2 1 1 7 2 0 1 1
0 2 2 1 3 2 2 1
1 4 2 5 2 3 1 2
2 1 2 1 5 0 2 5
asked 2021-11-26
Consider the boxplot below.
43 58 61 67 74
a. What quarter has the smallest spread of data?
- Third
- First
- Fourth
- Second
b. What is that spread?
c. What quarter has the largest spread of data?
- Fourth
- Second
- First
- Third
43 58 61 67 74
a. What quarter has the smallest spread of data?
- Third
- First
- Fourth
- Second
b. What is that spread?
c. What quarter has the largest spread of data?
- Fourth
- Second
- First
- Third
asked 2021-07-14
For each set of data below, draw a scatterplot and decide whether or not the data exhibits approximately periodic behaviour.
asked 2021-12-04
An insurance policy sells for $700. Based on past data, an average of 1 in 50 policyholders will file a $5,500 claim, an average of 1 in 100 policyholders will file a $10,000 claim, and 1 in 200 policyholders will file a $25,000 claim. What is the expected value of each policy the insurance company sells?
