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Ballotpedia:Who Runs the States, SQLI, Appendices

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Who Runs the States

Main Report Pages
Main PagePart 1Partisanship InfographicPart 2Part 3

Partisanship Results Report (Part 1)
Executive SummaryState Partisanship AnalysisPartisan Control of GovernorshipsPartisan Control of State LegislaturesPartisan Control of State SenatesPartisan Control of State HousesState Government TrifectasOverall Partisan Control: Bright, Medium and Soft StatesChanges of Partisan Domination over 22 yearsYear-to-Year Changes in State Partisan ControlTrifectas and Presidential Election PatternsConclusionMethodologyAppendix AAppendix B

State Quality of Life Index (SQLI) Report (Part 2)
Executive SummaryState Quality of Life Index (SQLI)About the IndexOverall RankingsDramatic Changes from 1st Half to 2nd HalfIndividual IndicatorsMethodologyAppendices

Partisanship and (SQLI) Overlay Report (Part 3)
IntroductionComparing Partisanship and the State Quality of Life Index (SQLI) RankingsDescription of the dataTrends and correlationsMethodologyKey Values for Fifty-State RegressionsAppendices
Praise or blame is extended to political parties for the economic, educational, health and other quality of life outcomes that result from the policies those parties enact into law. To better understand which political party enjoys power in each of the states, Ballotpedia has analyzed state government control from 1992-2013 using the concept of a "partisan trifecta." A partisan trifecta is defined as when a state's governorship and legislative chambers are controlled by the same political party.

The two major political parties claim that their policies will lead to better outcomes. What does the data show?

At Ballotpedia, we explored these issues in a three-part study, Who Runs the States.

This page contains the section of Part Two pertaining to the Appendices.


Appendix A: Top & Bottom Performing State for Each SQLI Indicator

Appendix B: Ballotpedia’s State Quality of Life Index (SQLI) Overall State Ranking, 1992-2012

Appendix C: Changes in Rankings from the First to the Second Half

Appendix D: Example of Weighting Calculations

To show the method we used to perform our weighting calculations in our annual and aggregate rankings, we created an example dataset to show the weights applied to each year and in aggregate across the years. This dataset includes four indicators. Indicator 1 has values for 1998 through 2003, while Indicator 2 only has data from 1999 to 2003. Indicator 3 includes data for 2000 to 2003, and Indicator 4 only provides a value for 2003.

In this situation, Indicator 1 has 100 percent of the weight for the 1998 ranking, as Indicator 1 provides the only data available for this year and thus determines the ranking. The year 1999 includes data from two indicators, so each is given equal (50 percent) weighting. As indicators are added, equal weight is applied to each one for each year.

The aggregate weights are calculated by adding up the indicator weightings for each year and dividing by the number of years, or the highest possible weighting score across all of the years. So, for example, Indicator 1’s weighting is 45.82 percent, which results from: (100% + 50% + 33.3% + 33.3% + 33.3% + 25%)/600% = 45.82%

See also

External links