IIBA CBDA Exam - Topic 4 Question 16 Discussion

Actual exam question for IIBA's CBDA exam

Question #: 16
Topic #: 4

[All CBDA Questions]

A job satisfaction study is being considered. Half of the employees of the company will be interviewed by senior managers and the other half of the employees will be interviewed by an external market research company, using the same set of questions. Which of the following might be a concern for using this approach to collect study data?

AReliability

BValidity

CTimeliness

DPrecision
Explanation:
Reliability is the degree to which a data collection method produces consistent results under the same conditions1. In this case, the reliability of the study data might be compromised by the different interviewers (senior managers vs. external market research company), who might have different biases, expectations, or rapport with the employees. This could affect how the employees respond to the same set of questions, and thus introduce variability in the dat
a.Validity, timeliness, and precision are not directly affected by the choice of interviewers, as they depend more on the quality, relevance, and accuracy of the questions and the data analysis.

Reference:1: Guide to Business Data Analytics, IIBA, 2020, p. 26.

Show Suggested Answer

Suggested Answer: A

Summary statistics are numerical measures that describe certain characteristics of a data set, such as the mean, median, mode, standard deviation, range, or quartiles. Summary statistics can help simplify and communicate complex data, but they can also obscure or distort important information, such as the distribution, shape, outliers, or trends of the data. Contextualization is the process of providing relevant background information, assumptions, limitations, or explanations for the data analysis and its results. Contextualization can help avoid misinterpretation, confusion, or bias when using summary statistics. Contextualization can also help connect the data analysis to the business problem, objectives, and stakeholders.

by Josefa at Jul 05, 2024, 10:35 PM

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Roxanne

4 months ago

Validity seems more important than reliability in this case.

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Dalene

4 months ago

Wow, I didn't think about biases affecting responses!

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Johna

4 months ago

Not sure if it really matters who interviews them.

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Ellsworth

4 months ago

I think reliability is a big concern here.

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Alva

5 months ago

Different interviewers could definitely skew the results.

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Herman

5 months ago

I wonder if timeliness could be a factor too, but it seems like the main issue would be the reliability of the data collected by different interviewers.

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Matthew

5 months ago

This reminds me of a practice question we did about bias in surveys. I think reliability is definitely the main concern in this scenario.

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Elfriede

5 months ago

I'm not entirely sure, but I think validity might also be an issue since the context of the interviewers could affect how employees feel about their answers.

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Joye

5 months ago

I remember discussing how different interviewers can influence responses, so reliability seems like a valid concern here.

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Kati

5 months ago

Reliability is the way to go on this one. I'll explain how the senior managers and external researchers might have different biases that could affect how the employees answer the questions.

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Elmira

5 months ago

Hmm, I see what they're getting at with reliability. I'll need to make sure I understand the difference between reliability and the other options like validity and precision.

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Kaitlyn

5 months ago

Reliability is definitely the key concern here. Having two different groups of interviewers could introduce inconsistencies in how the questions are asked and how the responses are interpreted.

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Dalene

5 months ago

This seems like a tricky one. I'll need to think carefully about how the different interviewers could impact the reliability of the data.

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Narcisa

6 months ago

The reliability issue makes sense to me. I'll focus on explaining how the different interviewers could lead to less consistent responses from the employees.

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Maryann

6 months ago

Hmm, I'm a bit unsure about this one. I know vendors can submit invoices electronically, but I'm not sure about the other capabilities. I'll have to think this through carefully.

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Emogene

10 months ago

While the other options are important, reliability is the clear winner here. This approach sounds like a recipe for a data smoothie, with each interviewer adding their own 'special' ingredient.

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Whitley

8 months ago

D: It's important to have reliable data for accurate analysis.

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Noah

8 months ago

C: I think we need to ensure consistency in data collection.

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Anglea

9 months ago

B: Yeah, having different interviewers could definitely introduce bias.

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Nieves

9 months ago

A: I agree, reliability is crucial in this situation.

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Von

9 months ago

A: It's like mixing different flavors in a smoothie, you never know what you're gonna get.

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Fausto

9 months ago

B: Yeah, having different interviewers could definitely lead to biased data.

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Christene

10 months ago

A: I agree, reliability is crucial in this situation. We need consistent results.

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Martha

11 months ago

This is a classic case of 'too many cooks in the kitchen'. I bet the data will be a hot mess, like trying to herd cats with two different leashes.

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Ronna

9 months ago

A: It could make analyzing the data a real challenge.

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Lenna

9 months ago

B: Yeah, it's like having two different perspectives that might not align.

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Clorinda

9 months ago

A: I agree, having two different interviewers could definitely lead to inconsistent results.

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Sheldon

11 months ago

I agree, the reliability of the data is at risk. Senior managers and external researchers may have different ways of conducting the interviews and interpreting the answers.

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Jonell

11 months ago

But wouldn't validity also be affected by the different interviewers?

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Zachary

11 months ago

Reliability is definitely the key concern here. Having two different sets of interviewers, even with the same questions, could introduce bias and inconsistency in the responses.

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