Data Verification

A+VER

A+VER for Executive Searches

Our consulting firm excels in the field of executive searches for school districts through our proprietary software, A+VER. This software generates comprehensive scorecards that provide detailed profiles of candidates, including their names, tenure durations, most recent employment, roles held, and the academic performance compared against peer school systems.

A+VER’s capabilities ensure that we deliver precise and tailored information, aiding in the evaluation of candidate applications for leadership roles within a school system. In addition to candidate profiles, A+VER offers a deep dive into district metrics, such as student enrollment, free and reduced lunch data, and educational performance in key grade levels including high school graduation rates.

The software identifies similar peer school systems and summarizes trends through a time series analysis, enriching the decision-making process with nuanced insights into each candidate’s impact on their organization. This robust tool enables JG Consulting to provide unmatched executive search services, setting us apart in the industry.

Candidate Scorecard Explained

1. District’s Demographics

Indicates the number of students enrolled and the FRPL for that district with the latest data available.

2. District’s Poverty Level

Indicates the poverty level as stated by the NCES

  • Low-poverty: ≤25.0% FRPL
  • Mid-low poverty: 25.1% to 50.0% FRPL
  • Mid-high poverty: 50.1% to 75.0% FRPL
  • High-poverty: >75.0% FRPL

3. Peer Districts

Shows districts that are similar in terms of enrollment and FRPL. It uses K-Nearest Neighbors machine learning algorithm.

4. District’s Overall Trend

Shows the behavior of the students that are proficient and above over a period in the district. In this example, the percentage of students that are proficient and above have increased by 7% over the period of 3 years (2021, 2022, 2023) in Independent School District. It uses time series analysis to understand if there’s a trend in how things are changing over that time. It includes all the years that a person worked in the district, and the year before joining the district when available.

5. Peer Districts’ Overall Trend

Shows the behavior of the students that are proficient and above over a period in the district peers. In this example, the percentage of students that are proficient and above have increased by 6% over the period of 3 years (2021, 2022, 2023) in Independent School District peer districts. It uses time series analysis to understand if there’s a trend in how things are changing over that time. It includes all the years that a person worked in the district, and the year before joining the district when available.

6. Percentage of Students Proficient and Above

Indicates that the percentage of students that are proficient and above as reported for a specific year and population. The arrow in the left if a visual cue to indicate is the value increased, decreased or remained the same compared to previous year.

7. Percentage of Students Proficient and Above for the Peer Districts

Shows the percentage of students in a specific group and year who are proficient and above in other peer districts. This value can be used to compare how well other districts are doing in average with the regards to the district you are analyzing. Here’s an example of how this is calculated (these are not real values).

8. District’s Graduation Rates Overall Trend

Shows the behavior of high school graduates over a period in a district. It uses time series analysis to understand if there’s a trend in how things are changing over that time. It includes all the years that a person worked in the district, and the year before joining the district when available. In this specific example the trend is 0, because there is only 1 data point.

9. Graduation Rates Peer Districts Overall Trend

Shows behavior of high school graduates over a period in peer districts. It uses time series analysis to understand if there’s a trend in how things are changing over that time. It includes all the years that a person worked in the district, and the year before joining the district when available. In this specific example the trend is 0, because there is only 1 data point.

10. Percentage of High School Graduates

We do an average of the values reported for the schools in the district per year and population. The arrow in the left is a visual cue to indicate if the value increased, decreased or remained the same compared to previous year.

11. Average Percentage of High School Graduates

We do an average of percentages of high school graduates for other peer districts. This value can be used to compare how well other districts are doing in average with the regards to the district you are analyzing. Here’s an example of how this is calculated (these are not real values).

12. Districts’ School Rating

Shows how the district performed on a scale from 0 – 10 over a period. It uses weighted average on the rating bands.

Score = (Category Weight * % School Value)/100

13. Average Peer Districts’ School Rating

Shows the average of how the peer district performed on a scale from 0 – 10 over a period. It uses weighted average on the rating bands provided and then averages the obtained scores.

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