A feature that appears in only one comparable and the subject cannot be:
Correct Answer
D) Isolated by paired analysis within that data set
Why this is correct: The core principle of paired data analysis is to isolate the value of a single feature by comparing two otherwise identical sales that differ only by the presence or absence of that feature. If a feature appears in only one comparable and the subject, there is no second sale within the data set that differs solely by that feature, making a true paired analysis impossible. Why the other choices are wrong: "Included in the appraisal report" is wrong because the feature must be reported and its value effect estimated, often via cost or qualitative analysis. "Adjusted for under any circumstances" is wrong because adjustments can be made using other methods like cost estimation or market extraction from a broader data set. "Considered anywhere in the reconciliation at all" is wrong because the feature's impact on value must be considered and reconciled in the final value opinion. Exam tip: Remember, 'paired' requires a pair. If you can't find two comparable sales differing only in the one feature, you cannot use that specific technique from that specific data set.
Why This Is the Correct Answer
Option D is correct because it names the one thing that genuinely becomes impossible: isolating the feature by paired analysis within that data set. The qualifier 'within that data set' is doing real work, since the same feature might be paired successfully in a broader sample or a comparable submarket. The impossibility is arithmetic rather than a matter of judgment, because with a single instance there is nothing to subtract from. Recognizing that limitation is what pushes the appraiser toward another supportable method.
Why the Other Options Are Wrong
Option A: Included in the appraisal report
The feature must appear in the report; the appraiser is obligated to describe the subject accurately and to disclose how each significant difference was handled. Omitting a characteristic because the preferred technique could not quantify it would make the report incomplete and potentially misleading. Difficulty in measuring something is never a reason to leave it out.
Option B: Adjusted for under any circumstances
Adjustment remains available through other supportable routes, including cost less depreciation with market support, extraction from a broader sales sample, regression where the data set is large enough, or a documented qualitative comparison. The phrase 'under any circumstances' is what makes this option fail, since it converts a limitation on one method into a universal prohibition. Absolute language in a methodology option is nearly always a warning sign.
Option C: Considered anywhere in the reconciliation at all
Reconciliation is exactly where a difference that could not be quantified precisely gets weighed, by giving more weight to the indications least dependent on that uncertain adjustment and explaining the reasoning. Excluding the feature from reconciliation would mean concluding a value while deliberately ignoring a known difference between the subject and the market data. The appraiser's judgment must be applied and explained, not withheld.
A Pair Needs Two
A pair needs two. One comparable with the feature and none without it is not a pair, it is a single data point, and a single point cannot show a difference. When you cannot build the pair, you have lost one tool, not the whole toolbox: cost, regression, a wider market, and a documented qualitative call all remain.
How to use: Count the sales on each side of the feature before invoking paired analysis. If either side is empty, name the limitation explicitly and switch methods rather than fabricating a pairing. In the answer choices, prefer the option that limits the technique and reject any option that suppresses the feature from the report, from adjustment generally, or from reconciliation.
Exam Tip
Distinguish 'this technique cannot be used here' from 'nothing can be done'; exam options frequently escalate a narrow methodological limit into a sweeping prohibition.
Common Mistakes to Avoid
- -Forcing a paired adjustment from sales that differ in more than one significant respect
- -Omitting a hard-to-quantify feature from the report instead of disclosing how it was treated
- -Treating a cost figure as the contributory value without testing it against market reaction
Concept Deep Dive
Analysis
This question tests the data requirement built into paired data analysis. The technique isolates the contributory value of a single characteristic by comparing two sales that are alike in every respect except that one has the feature and the other does not, so the price difference, after accounting for time and any remaining differences, measures the market's payment for that characteristic. The requirement is structural: you need a pair, and the pair must differ in only one meaningful way. When the feature appears in the subject and in exactly one comparable, there is no second sale in that set lacking it while otherwise matching, so the pairing cannot be constructed from that data. That is a limitation on one technique, not a prohibition on adjusting or on reporting. The appraiser can widen the search to a larger or nearby market, use cost with market-supported depreciation, apply a sensitivity or regression analysis if the sample supports it, or handle the difference qualitatively through relative comparison and bracketing.
Background Knowledge
You need to know how paired data analysis works and what data it demands, and you need to know the alternative adjustment derivation methods available when pairing fails, including cost with market support, regression or sensitivity analysis, extraction, and relative comparison. You should also understand that quantitative and qualitative techniques can be combined in one analysis as long as the reasoning is disclosed.
Real-World Application
The subject has a detached workshop and only one of six comparables has anything similar. The appraiser expands the search to two adjacent neighborhoods, finds three usable pairings, and derives a contributory value that is then tested against depreciated cost, disclosing in the report why the original data set alone could not support the adjustment.
More Sales Comparison Questions
Excess land differs from surplus land in that excess land:
A paired sales analysis reveals that homes with stainless-steel appliances sell for $2,100 more than identical homes with standard appliances — but only when the homes are priced below $350,000. In the subject’s neighborhood, median sale price is $410,000. What is the appraiser’s obligation regarding the $2,100 appliance adjustment?
GLA differs by 210 sq ft between subject and comparable. Paired sales support $65 per sq ft of living area. The line adjustment is:
Paired sales are drawn from transactions six months apart in a stable market. The time adjustment needed is:
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A comparable superior to the subject in every adjusted category should produce an indication that is:
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A comparable sold 8 months ago for $250,000 in a market appreciating 6% per year. What is the time-adjusted price?
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