Robocalls According to Martin Boon of ICM Limited, a polling firm in Britain, in 1995 it took 3000 to 4000 phone calls to obtain a sample of size 2000. Today, it takes over 30,000 calls. To reduce costs, more polling is done using robocalls and Internet-based polling. Robocalling to cellular telephones is illegal. How do these methods potentially lead to nonsampling error? What types of nonsampling error do you think this may lead to?
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 1.5.42
Textbook Question
Discuss why the order of questions or choices within a questionnaire are important in sample surveys.
Verified step by step guidance1
Understand that the order of questions or choices in a questionnaire can influence respondents' answers due to psychological effects such as priming or fatigue.
Recognize that earlier questions can set a context or frame of reference, which may bias responses to subsequent questions, a phenomenon known as the 'order effect'.
Consider that placing sensitive or difficult questions at the beginning might discourage respondents or affect their willingness to answer honestly later on.
Acknowledge that randomizing the order of questions or choices can help minimize bias and improve the reliability and validity of the survey results.
Remember that careful questionnaire design, including thoughtful ordering, is essential to reduce measurement error and ensure that the collected data accurately reflects respondents' true opinions or behaviors.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Question Order Effects
Question order effects refer to how the sequence of questions can influence respondents' answers. Earlier questions can set a context or frame of mind that affects responses to later questions, potentially biasing results.
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Response Bias
Response bias occurs when the way questions or choices are presented leads respondents to answer inaccurately or untruthfully. The order of questions can create biases such as primacy or recency effects, impacting data validity.
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Survey Design and Validity
Careful survey design, including thoughtful ordering of questions and choices, helps ensure the validity and reliability of collected data. Proper sequencing minimizes confusion, reduces bias, and improves the accuracy of respondents' answers.
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