METHODS AND APPARATUS TO ENABLE DUPLICATION CORRECTION FOR BROADCAST STATION AUDIENCE MEASUREMENT DATA
Methods, apparatus, systems and articles of manufacture to enable duplication correction for broadcast station audience measurement data are disclosed. An example method includes mapping, by executing an instruction with a processor, listening data to a daypart and a demographic group, the listening data generated based on collected audience measurement data, calculating, by executing an instruction with the processor, a first audience measurement and a second audience measurement from the listening data for a plurality of daypart-demographic group pairings, determining, by executing an instruction with the processor, an unduplication factor for a first daypart-demographic group pairing based on the first audience measurement and the second audience measurement, and applying, by executing an instruction with the processor, the unduplication factor to an audience count associated with a streaming station to determine a cumulative audience measurement for the first daypart-demographic group pairing.
1 . A method to generate ratings information, the method comprising:
mapping, by executing an instruction with a processor, listening data to a daypart and a demographic group, the listening data generated based on collected audience measurement data;
calculating, by executing an instruction with the processor, a first audience measurement and a second audience measurement from the listening data for a plurality of daypart-demographic group pairings;
determining, by executing an instruction with the processor, an unduplication factor for a first daypart-demographic group pairing based on the first audience measurement and the second audience measurement; and
applying, by executing an instruction with the processor, the unduplication factor to an audience count associated with a streaming station to determine a cumulative audience measurement for the first daypart-demographic group pairing.
2 . The method of claim 1 , wherein the calculating of the first audience measurement includes summing contribution weights associated with a first set of panelists credited with listening to digital audio.
3 . The method of claim 2 , wherein the calculating of the second audience measurement includes summing contribution weights associated with a second set of panelists credited with listening to digital audio and over-the-air audio, the over-the-air audio distributed by a same distributor as the digital audio.
4 . The method of claim 1 , wherein the generating of the listening data includes:
identifying panelist information included in the audience measurement data associated with panelists who satisfy an activity threshold; and
merging audio exposure data of interest included in the audience measurement data with the panelist information, the audio exposure data being of interest when a duration of listening associated with the audio exposure data satisfies a duration threshold.
5 . The method of claim 1 , further including:
identifying a radio station included in an entry of the listening data;
determining if the radio station is a qualifying station based on a market code, a call letters code, a band code and station formation information; and
in response to determining that the radio station is not a qualifying station, removing the entry from the listening data.
6 . The method of claim 1 , wherein the mapping of the listening data to the daypart includes comparing a day identifier and a media day quarter-hour identifier associated with audio exposure data included in the audience measurement data to a first characteristic included in a list of daypart mappings.
7 . The method of claim 1 , wherein the mapping of the listening data to the demographic group includes comparing a gender identifier and an age identifier associated with panelist information included in the audience measurement data a second characteristic included in a list of demographic groups.
8 . An apparatus to generate ratings information, the apparatus comprising:
a daypart manager to map listening data to a daypart, the listening data generated based on collected audience measurement data;
a demographics manager to map the listening data to a demographic group;
a first calculator to calculate a first audience measurement from the listening data for a plurality of daypart-demographic group pairings;
a second calculator to calculate a second audience measurement from the listening data for the plurality of daypart-demographic group pairings;
an unduplication factor calculator to determine an unduplication factor for a first daypart-demographic group pairing based on the first audience measurement and the second audience measurement; and
a third calculator to apply the unduplication factor to an audience count associated with a streaming station to determine a cumulative audience measurement for the first daypart-demographic group pairing.
9 . The apparatus of claim 8 , wherein the first calculator is to calculate the first audience measurement by summing contribution weights associated with a first set of panelists credited with listening to digital audio.
10 . The apparatus of claim 9 , wherein the second calculator is to calculate the second audience measurement by summing contribution weights associated with a second set of panelists credited with listening to digital audio and over-the-air audio, the over-the-air audio being distributed by a same distributor as the digital audio.
11 . The apparatus of claim 8 , further including:
a first data manager to identify panelist information included in the audience measurement data associated with panelists who satisfy an activity threshold; and
a second data manager to merge audio exposure data of interested included in the audience measurement data with the identified panelist information to generate the listening data, the audio exposure data being of interest when a duration of listening associated with the audio exposure data satisfies a duration threshold.
12 . The apparatus of claim 8 , further including a third data manager to:
identify a radio station included in an entry of the listening data;
determine if the radio station is a qualifying station based on a market code, a call letters code, a band code and station formation information; and
remove the entry from the listening data based on a determination that the radio station is not a qualifying station.
13 . The apparatus of claim 8 , wherein the daypart manager is to map the listening data to the daypart by comparing a day identifier and a media day quarter-hour identifier associated with audio exposure data included in the audience measurement data to a first characteristic included in a list of daypart mappings.
14 . The apparatus of claim 8 , wherein the demographics manager is to map the listening data to the demographic group by comparing a gender identifier and an age identifier associated with panelist information included in the audience measurement data a second characteristic included in a list of demographic groups.
15 . A tangible machine-readable storage medium comprising instructions that, when executed, cause a processor to at least:
map listening data to a daypart, the listening data generated based on collected audience measurement data;
map the listening data to a demographic group;
calculate a first audience measurement from the listening data for a plurality of daypart-demographic group pairings;
calculate a second audience measurement from the listening data for the plurality of daypart-demographic group pairings;
determine an unduplication factor for a first daypart-demographic group pairing based on the first audience measurement and the second audience measurement; and
apply the unduplication factor to an audience count associated with a streaming station to determine a cumulative audience measurement for the first daypart-demographic group pairing.
16 . The tangible machine-readable storage medium as defined in claim 15 , wherein the instructions are to further cause the processor to calculate the first audience measurement by summing contribution weights associated with a first set of panelists credited with listening to digital audio.
17 . The tangible machine-readable storage medium as defined in claim 16 , wherein the instructions are to further cause the processor to calculate the second audience measurement by summing contribution weights associated with a second set of panelists credited with listening to digital audio and over-the-air audio, the over-the-air audio being distributed by a same distributor as the digital audio.
18 . The tangible machine-readable storage medium as defined in claim 15 , wherein the instructions are to further cause the processor to:
identify panelist information included in the audience measurement data associated with panelists who satisfy an activity threshold; and
merge audio exposure data of interested included in the audience measurement data with the identified panelist information to generate the listening data, the audio exposure data being of interest when a duration of listening associated with the audio exposure data satisfies a duration threshold.
19 . The tangible machine-readable storage medium as defined in claim 15 , wherein the instructions are to further cause the processor to:
identify a radio station included in an entry of the listening data;
determine if the radio station is a qualifying station based on a market code, a call letters code, a band code and station formation information; and
remove the entry from the listening data based on a determination that the radio station is not a qualifying station.
20 . The tangible machine-readable storage medium as defined in claim 15 , wherein the instructions are to further cause the processor to:
map the listening data to the daypart by comparing a day identifier and a media day quarter-hour identifier associated with audio exposure data included in the audience measurement data to a first characteristic included in a list of daypart mappings; and
map the listening data to the demographic group by comparing a gender identifier and an age identifier associated with panelist information included in the audience measurement data a second characteristic included in a list of demographic groups.