IIBA Exam CBDA 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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Emogene

2 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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Nieves

10 days ago

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

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Von

12 days ago

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

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Fausto

18 days ago

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

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Christene

1 months ago

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

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Martha

2 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

16 days ago

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

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Lenna

18 days ago

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

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Clorinda

22 days ago

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

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Sheldon

2 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

3 months ago

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

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Zachary

3 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.

upvoted 0 times