Data Checking

Solutions

Learn the Quality Indices for a database by cross-checking with data from Médiamétrie reference panels

Published on 05.09.2021

How do you validate publisher data for its quality to be accepted?

Médiamétrie, a trusted, neutral and independent third party, relies on its data expertise to guide media players in evaluating their data.

Data Checking establishes quality indices for a database by cross-checking it with data from Médiamétrie reference panels

Validate the quality of a database with two quality indices
Compare socio-demographic criteria, such as gender and age, with those of the Médiamétrie reference panel base

Data Checking crosses publisher data with deterministic data, actually observed and audited by the CESP, Médiamétrie reference panels.

Two quality indices :

The Kappa coefficient: this measures agreement between two qualifications of the same variable, compared to chance. It can also establish a standard of comparison between two bases.
Overall and Detailed Direct Agreement Rate: This is the result of perfect, direct agreement between one criterion observed in the analysed base and the corresponding datum in the Médiamétrie Data Checking Reference Base.

Summary report

Confidence interval calculus

Sample size or target in the sample

n =

Proportion observed in the sample or on a target in the sample

p =

Warning: only applies to a proportion. The Average Rate is an average of proportions and the Audience Share a ratio of proportions. This tool is provided for information purposes. It cannot be applied for professional purposes without further precautions.