Abstract: Methods and apparatus to adjust media impressions based on media impression notification loss rates in network communications are disclosed.

Abstract: An example apparatus includes at least one processor and first memory comprising computer readable instructions that, when executed, cause the at least one processor to log an impression in second memory at an audience measurement entity based on a communication received from a computing device. The example computer readable instructions, when executed, cause the at least one processor to determine that a primary user of the computing device is not the user operating the computing device when a first probability score for the primary user does not satisfy a threshold, and in response to determining that the primary user is not the user operating the computing device, identify one of a plurality of secondary users as the user operating the computing device. The example computer readable instructions, when executed, cause the at least one processor to store demographic information of the user operating the computing device.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: An example apparatus includes means for identifying a pattern in first cookies received via the Internet and stored in a storage device, the first cookies corresponding to devices accessing media via the Internet, means for determining an error between a first demographic estimate based on a potential pattern in the first cookies and a second demographic estimate based on user identifiers corresponding to the devices and received via the Internet, the means for determining the error to determine the potential pattern to be the pattern when the error is less than a threshold, means for accessing impression information received from a database proprietor via the Internet, the impression information including second cookies, and means for identifying a subset of the second cookies that are associated with a same person based on the pattern, the means for identifying the subset to associate impressions corresponding to the identified subset with the same person.

Abstract: Methods and apparatus to generating electronic mobile measurement census data are disclosed. Example disclosed methods involve, when a panelist associated with a client device is determined to be an audience member of the media on the client device, associating demographic information of the panelist with a logged impression associated with the media. The disclosed methods also include when the panelist associated with the client device is determined not to be the audience member of the media at the client device, determining probability scores for respective household members residing in a household with the panelist, the probability scores indicative of probabilities that corresponding ones of the household members are the audience member of the media at the client device, and associating demographic information of one of the household members that has a highest probability score with the logged impression associated with the media.

Abstract: Example methods and apparatus to de-duplicate impression information are disclosed. An example method includes extracting, by executing a first instruction with a processor, characters from first cookies stored in a first memory space, the first cookies collected from client devices via network communications, and in response to the processor determining that at least two of the first cookies (1) include a same pattern of characters, and (2) correspond to a same first demographic, executing a second instruction with the processor to store, in a second memory space, the pattern of characters in association with the first demographic to indicate that the pattern of characters and the first demographic are both representative of a same first unique audience member.

Abstract: Methods, apparatus, systems and articles of manufacture to correct for bias in ratings data are disclosed. Example methods disclosed herein include accessing information specifying a set of population strata having corresponding strata demographic statistics capable of being combined to determine a first set of baseline demographic statistics for a sample population that corresponds to a second set of baseline demographic statistics for a target population. Disclosed example methods also include determining a set of weights corresponding respectively to the set of population strata that reduces bias between the second set of baseline demographic statistics for the target population and the first set of baseline demographic statistics for the sample population when the set of weights is applied to the strata demographic statistics to determine the first set of baseline demographic statistics for the sample population.

Abstract: Example methods disclosed herein to determine ratings data for media exposure include accessing sets of classification probabilities for respective individuals in a sample population exposed to media. In some examples, a first one of the sets of classification probabilities represents likelihoods that a first one of the individuals belongs to respective ones of a set of possible demographic classification. Disclosed example methods also include estimating, based on the sets of classification probabilities, parameters characterizing population attributes associated with the set of possible demographic classifications. Disclosed example methods further include determining the ratings data based on the estimated parameters.

Abstract: Example methods and apparatus to de-duplicate impression information are disclosed. An example method includes extracting, by executing a first instruction with a processor, characters from first cookies stored in a first memory space, the first cookies collected from client devices via network communications, and in response to the processor determining that at least two of the first cookies (1) include a same pattern of characters, and (2) correspond to a same first demographic, executing a second instruction with the processor to store, in a second memory space, the pattern of characters in association with the first demographic to indicate that the pattern of characters and the first demographic are both representative of a same first unique audience member.

Abstract: Example audience measurement methods disclosed herein include accessing demographic information and identification information for subscribers of a service provider based on first data received from an audience measurement entity. Such disclosed example methods also include accessing network log data stored by the service provider for the subscribers using the identification information. Such disclosed example methods further include determining audience measurement data for the subscribers based on the network log data, the demographic information and the identification information, and removing the identification information from the audience measurement data to determine anonymous audience measurement data to send to the audience measurement entity.

Abstract: Example methods and apparatus to de-duplicate impression information. An example method includes accessing a first set of cookies and a set of user identifiers, the cookies and user identifiers corresponding to devices accessing media via the Internet, identifying a pattern in the first set of cookies, obtaining impression information from a database proprietor, the impression information comprising a second set of cookies, identifying a subset of the second set of cookies that are associated with a same person based on the pattern, and associating impressions corresponding to the identified subset with the same person.

Abstract: Methods and apparatus to generating electronic mobile measurement census data are disclosed. Example disclosed methods involve, when a panelist associated with a client device is determined to be an audience member of the media on the client device, associating demographic information of the panelist with a logged impression associated with the media. The disclosed methods also include when the panelist associated with the client device is determined not to be the audience member of the media at the client device, determining probability scores for respective household members residing in a household with the panelist, the probability scores indicative of probabilities that corresponding ones of the household members are the audience member of the media at the client device, and associating demographic information of one of the household members that has a highest probability score with the logged impression associated with the media.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Example audience measurement methods disclosed herein include accessing demographic information and identification information for subscribers of a service provider based on first data received from an audience measurement entity. Such disclosed example methods also include accessing network log data stored by the service provider for the subscribers using the identification information. Such disclosed example methods further include determining audience measurement data for the subscribers based on the network log data, the demographic information and the identification information, and removing the identification information from the audience measurement data to determine anonymous audience measurement data to send to the audience measurement entity.

Abstract: Example methods and apparatus to de-duplicate impression information. An example method includes accessing a first set of cookies and a set of user identifiers, the cookies and user identifiers corresponding to devices accessing media via the Internet, identifying a pattern in the first set of cookies, obtaining impression information from a database proprietor, the impression information comprising a second set of cookies, identifying a subset of the second set of cookies that are associated with a same person based on the pattern, and associating impressions corresponding to the identified subset with the same person.

Abstract: Methods and apparatus to obtain anonymous audience measurement data from network server data for particular demographic and usage profiles are disclosed.

Abstract: Example methods, apparatus, systems, and articles of manufacture to explicitly and implicitly measure media impact are disclosed. An example method includes analyzing first survey response data obtained from a control group panelist responding to a first survey instrument after exposure to first media. An example first survey instrument includes an implicit measure. The example first survey response data includes first implicit response data. The example method further includes analyzing second survey response data obtained from a test group panelist responding to the first survey instrument after exposure to second media. The example second survey response data includes second implicit response data. The example second media includes elements of the first media and target advertising or entertainment material not included in the first media. The example method also includes assessing an effectiveness of the target advertising or entertainment material based on the first and second implicit response data.

Abstract: Methods and apparatus to obtain anonymous audience measurement data from network server data for particular demographic and usage profiles are disclosed.