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The paragraph below contains two pairs of terms or phrases enclosed in parentheses. Determine which term or phrase in each pair correctly completes the paragraph. Then select the answer choice containing the two terms or phrases that you have selected.
The process for collecting and analyzing data differs for quality assessment (QA) and quality improvement (QI). For QA, data collection focuses on (objective / both objective and subjective) data, and data analysis identifies the (degree / cause) of variance.
Suggested Answer: A
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29 comments · newest first
DI
Dick
10 months ago
Wait, are we sure about the degree vs. cause thing? Seems tricky.
GE
Gearldine
11 months ago
Totally agree, it's all about the facts!
KR
Krystina
11 months ago
QA uses objective data, right?
AM
Amina
11 months ago
I think it should be both objective and subjective for a complete view.
IZ
Izetta
11 months ago
Definitely objective for QA, but I’m not sold on the cause part.
MA
Margarett
11 months ago
I feel like both objective and subjective data might apply to QI, but I can't recall if that affects QA.
RU
Rusty
12 months ago
I practiced a similar question where QA was linked to objective data, so I’m leaning towards option A.
RA
Raina
12 months ago
I think QA is about identifying the degree of variance, but I might be mixing it up with QI.
WI
Wilda
1 year ago
I remember that QA typically focuses on objective data, but I'm not sure about the second part regarding variance.
EL
Elroy
1 year ago
I feel pretty good about this question. The information provided gives me a clear understanding of the differences between QA and QI, so I'm ready to select my answer.
MA
Marvel
1 year ago
The key is understanding how QA and QI differ in their approach to data collection and analysis. Once I have that down, I think I can confidently select the correct answer.
OL
Oliva
1 year ago
I'm a little unsure about the difference between degree and cause of variance. I'll need to review those concepts to make sure I choose the right option.
JO
Josefa
1 year ago
Okay, let me think this through. For QA, the data collection focuses on objective data, and the analysis looks at the degree of variance. That makes sense to me.
BR
Brock
1 year ago
This question seems straightforward, but I want to make sure I understand the key differences between QA and QI before selecting my answer.
TA
Tammara
1 year ago
You know, I bet there's some quality assessor out there who'd try to measure customer 'satisfaction' or 'happiness' as part of their analysis. That's just asking for trouble!
NO
Nobuko
1 year ago
Yeah, trying to measure customer 'satisfaction' or 'happiness' could definitely skew the results in quality assessment.
KR
Krissy
1 year ago
Definitely, it's important to keep the data collection focused on objective measures for quality assessment.
TY
Tyra
1 year ago
I agree, mixing subjective data like 'happiness' with objective data can lead to unreliable results.
TY
Ty
1 year ago
But doesn't data analysis in QA focus on identifying the cause of variance? So, the answer should be D.
FL
Flo
1 year ago
I agree with Vivienne. QA involves both objective and subjective data.
VI
Vivienne
1 year ago
I think the answer is C.
ST
Stephaine
1 year ago
Haha, 'both objective and subjective' - that's like saying 'a little bit pregnant'! Quality assessment is all about the cold, hard numbers, not feelings and opinions.
IN
Inocencia
1 year ago
I agree with Susana. The key for quality assessment is using objective data to identify the root causes of issues, not just the degree of variation.
RO
Rocco
1 year ago
Yes, I agree. Objective data is crucial for quality assessment.
CO
Corinne
1 year ago
I think the correct answer is A) objective / degree.
SU
Susana
1 year ago
The terms 'objective' and 'cause' seem like the right fit to me. Quality assessment is all about measuring and analyzing the data, not subjective impressions.
LA
Lakeesha
1 year ago
I agree. It's important to have reliable information for quality assessment.
TA
Tabetha
1 year ago
Yes, objective data is crucial for accurate analysis.
LA
Lakeesha
1 year ago
I think you're right. Quality assessment should focus on objective data.