Issue Positions Expectations
The goal of this page is establish clear metrics for successful issue positions research. These are inexact estimations due to the variance in Issue Position research available for different candidates.
| Experienced Staff | Target Intern Production | Weeks 2-5 | Training Period (2 weeks) | Max Time per Question | |
| Average Time Per Candidate (Challenger) | 15 Minutes | 20 Minutes | 25 - 35 Minutes | 30 - 40 Minutes | 5 - Minutes |
| Average Time Per Candidate (Incumbent) | 30 Minutes | 35 Minutes | 40 - 50 Minutes | 50 - 60 Minutes | 10 - Minutes |
| Errors Per 5 Candidates (For Candidates With IP Data) | 0 | 1 | 2 | 3 |
Percentage of Determinations Made represents how successful researchers are in finding evidence & making determinations. The figure calculated is ((Determinations Made / Total Possible Determinations) * 100).
To keep track of this determination rate prior to database import, you can use the formulas described in Step 3 at Building A Research Sheet. This running formula can be matched to the target determination rates noted in the above table.
In addition, This final figure can be found for a state after an issue position sheet is imported using the following query:
SELECT state_id, y.count AS Researched_Determinations_Made, p.count AS Number_of_VE_Questions, e.count AS candidates, (p.count*e.count) AS Possible_Answers, (100*y.count/(p.count*e.count)) AS Percent_Answered
FROM
(SELECT COUNT (DISTINCT ec.candidate_id), e.state_id
FROM election e
JOIN election_candidate ec USING (election_id)
JOIN electionstage_candidate esd ON ec.election_candidate_id = esd.election_candidate_id
WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND electioncandidatestatus_id IN (8,11,2)
GROUP BY e.state_id) e
FULL OUTER JOINFROM election e
JOIN election_candidate ec USING (election_id)
JOIN electionstage_candidate esd ON ec.election_candidate_id = esd.election_candidate_id
WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND electioncandidatestatus_id IN (8,11,2)
GROUP BY e.state_id) e
(SELECT COUNT (DISTINCT np.npatrow_id), e.state_id
FROM election e
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JOIN npatcandidate nc USING (election_candidate_id)
JOIN npatanswer na USING (npatcandidate_id)
JOIN npatmatrix nm USING (npatmatrix_id)
JOIN npatrow np USING (npatrow_id)
JOIN npatrowtext nt USING (npatrowtext_id)
LEFT JOIN npatcitation nct USING (npatrow_id, npatcandidate_id)
WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND np.profile = 't'
GROUP BY e.state_id) p
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JOIN election_candidate ec USING (election_id)
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WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND np.profile = 't'
GROUP BY e.state_id) p
FULL OUTER JOIN
(SELECT COUNT (DISTINCT na.npatanswer_id), e.state_id
FROM election e
JOIN election_candidate ec USING (election_id)
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JOIN npatanswer na USING (npatcandidate_id)
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JOIN npatrow np USING (npatrow_id)
JOIN npatrowtext nt USING (npatrowtext_id)
LEFT JOIN npatcitation nct USING (npatrow_id, npatcandidate_id)
JOIN npatstatus n ON nc.npatstatus_id = n.npatstatus_id
WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND np.profile = 't'AND our_npatoption_id NOT IN (0, 71, 68)
GROUP BY e.state_id) y
USING (state_id)FROM election e
JOIN election_candidate ec USING (election_id)
JOIN npatcandidate nc USING (election_candidate_id)
JOIN npatanswer na USING (npatcandidate_id)
JOIN npatmatrix nm USING (npatmatrix_id)
JOIN npatrow np USING (npatrow_id)
JOIN npatrowtext nt USING (npatrowtext_id)
LEFT JOIN npatcitation nct USING (npatrow_id, npatcandidate_id)
JOIN npatstatus n ON nc.npatstatus_id = n.npatstatus_id
WHERE electionyear = 2020 AND ec.office_id IN (5,6) AND np.profile = 't'AND our_npatoption_id NOT IN (0, 71, 68)
GROUP BY e.state_id) y
