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Survey Details
Methodology
The survey sample of 1,996 was selected by Red 7 Media and
Readex Research and included all those classified by Red 7 Media as Editorial Management at the time of sample selection.
Data was collected via mail survey from March 29 - May 10, 2010. The survey was closed for tabulation with
651 usable responses-a 33% response rate. To ensure representation of the audience of interest, results have been filtered to include only the
588 respondents who indicated on the survey that they work full time and that their job functions are best described as editorial director or editor in chief; editor or executive editor; managing editor; or senior editor.
The margin of error for percentages based on all 588 respondents is ±3.3
percentage points at the 95% confidence level.
The Salary Calculator
The analysis of Folio:'s Editorial Management Salary Survey data used multiple regression analysis to model the determinants of salary by identifying those variables which, when taken together with appropriate weights, provide the best prediction of any individual's actual salary.
The final salary prediction model is somewhat restricted in its applicability
- it represents only full-time professionals who indicated their job functions are best described as editorial director or editor in chief, editor or executive editor, managing editor, or senior editor with salaries in the range of $25,000 to $190,000,
whose salaries are at least 65% of their total compensation.
Statistically speaking, this model is moderately powerful: it explains
49% of the variation in salary (adjusted R-square = .49), and is significant by the F-test at p<.0000.
While a model explaining roughly 49% of the dependent variable's variation may be described as "moderately powerful," it still leaves about 50% of the variation unexplained. It is virtually certain that other variables not captured through this survey also have an effect on salary levels: individual job performance, for example. To the extent that this model does not include variables actually important in determining salary, its conclusions must be interpreted cautiously.
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