Question

What affects the reliability of the quantitative data you collect?(1 point)
Responses

variation in responses
variation in responses

introduction of outliers
introduction of outliers

consistency of survey questions
consistency of survey questions

invalid methodology

Answer 1

All of the provided options can affect the reliability of the quantitative data you collect. However, if you need to choose one that encompasses a broader impact, "invalid methodology" is a strong choice since it can lead to issues in all stages of data collection, potentially affecting variation, consistency, and the presence of outliers.

But, if you need to select one specific factor, "consistency of survey questions" is crucial, as inconsistencies can lead to varied interpretations by respondents, ultimately affecting the reliability of the data collected.

Here’s a summary of how each option impacts reliability:
- **Variation in responses**: High variation can indicate unreliable results if it reflects differences rather than true variability in the population.
- **Introduction of outliers**: Outliers can skew results and affect the overall reliability of the data set.
- **Consistency of survey questions**: Inconsistently worded questions can lead to different interpretations by respondents, impacting reliability.
- **Invalid methodology**: Flawed design may lead to unreliable results regardless of other factors.

In summary, any of these factors could be the correct choice depending on the emphasis of your assessment of reliability.