Write Your Own Survey Develop a survey that you could administer using online survey tools such as StatCrunch, surveymonkey.com, or polldaddy.com. Administer the survey. Did the responses accurately reflect the goals of each question? What types of nonsampling error did you encounter in the survey? If you invited individuals to take the survey via an e-mail, what type of response rate did you obtain? What approach did you take to increase response rate?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
1. Intro to Stats and Collecting Data
Intro to Collecting Data
Problem 1.5.44
Textbook Question
Discuss a possible advantage of offering rewards or incentives to increase response rates. Are there any disadvantages?
Verified step by step guidance1
Step 1: Understand the context of the problem, which involves evaluating the use of rewards or incentives to increase response rates in surveys or studies.
Step 2: Identify a possible advantage of offering rewards or incentives, such as motivating more participants to respond, which can lead to a higher response rate and potentially reduce nonresponse bias.
Step 3: Consider how increased response rates improve the representativeness of the sample, making the study results more generalizable to the target population.
Step 4: Reflect on potential disadvantages, such as the possibility that incentives might attract participants who are only interested in the reward rather than providing thoughtful or accurate responses.
Step 5: Also consider the cost implications of providing incentives and how this might affect the overall budget of the study or survey.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Response Rate in Surveys
Response rate refers to the proportion of people who complete a survey out of the total number contacted. Higher response rates generally improve the reliability and representativeness of survey results, reducing bias caused by non-response.
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Incentives and Rewards
Incentives are benefits or rewards offered to encourage participation in surveys or studies. They can increase motivation to respond, leading to higher response rates and more comprehensive data collection.
Potential Bias and Ethical Considerations
Offering incentives may introduce bias if certain groups are more motivated by rewards, affecting sample representativeness. Additionally, ethical concerns arise if incentives coerce participation or influence responses, potentially compromising data integrity.
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