Mediamark Research
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Originally
mailed |
17,022 | |
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Undeliverable |
725 | |
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Total
Eligible |
16,297 | 100% |
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Final
In-Tab |
4,419 | 27.1% |
Ideally, the TEENMARK methodology would be identical to the methodology of the adult study. The Teen Study, however, was conducted entirely by mail, rather than by a combination of in-home, personal interviews and self-administered questionnaires; TEENMARK respondents were not, by design, the only persons surveyed in their households, while -- at the time -- the previously-surveyed adults were. Because teenagers represent insignificant proportions of the markets for many products and of the audiences of many media; e.g., alcoholic beverages and television news programs, product category and media questions were appropriately abbreviated. Finally, some product categories and media whose markets and audiences are primarily teenage oriented were included in TEENMARK research but not in the study of adult consumers.
MAGAZINE READERSHIP MEASUREMENT AND COMPUTATION
The procedure employed in the teen study was based on two straightforward
questions. Each respondent was asked:
About
how many issues of an average four do you
Have
you read or looked into any copy in the (last
publication interval)? The
publication interval
obviously conformed to the publication frequency of
the listed magazines.
The list of magazines was rotated both alphabetically and by publication
cycle so that four versions of the magazine questioning procedure were
created.
The TEENMARK magazine readership methodology was different from that
employed in the adult study. The divergent approaches were dictated by
the data collection methods used.
In the
adult study respondents are asked by interviewers to sort a deck of
approximately 240 cards bearing magazine logos into three categories:
read or looked into the past six months (yes - sure have), might have done so
(not sure), and did not read or look into during the past six months (no -
sure have not). This "screen" or "filter" question
reduces the number of magazines about which subsequent questions are asked.
Following the sorting procedure the surviving (read or might have read)
magazines are once again presented, and respondents are asked how many issues
of the average four are read or looked into (frequency) and are then asked
whether each magazine was read or looked into during its most recent
publication interval (recency) -- seven days for weekly magazines, 30 days for
monthly magazines, and so on.
The TEENMARK research, because it was conducted by mail, did not use the
screening procedure described above. By omitting the screen in a mailed
survey, MRI abided by the generally-held belief that such a procedure should
be avoided. Michael Brown stated this admonition best for readership
surveys. "One of these (readership surveys) involved a
self-completion questionnaire and with this technique, an
"invitation" to skip certain subsequent questions - as implied by
the filter is usually avoided".
Instead,
respondents were first asked to indicate the frequency of their readership of
the average four issues, then to indicate whether they had read or looked into
the magazine during its most recent publication interval.
Differences in readership results were expected and indeed were found in
MRI's pretesting. The explanations for these differences could be due to
these factors:
Since
a major objective of the TEENMARK research is to provide readership data which
may be combined with readership data from the adult study, two measures were
employed to determine the extent of the differences in magazine readership,
and to ensure results would be reported compatibly:
First,
the inclusion of 18 and 19 year olds in the TEENMARK sample provided a direct
means to compare results of the two studies, since respondents aged 18 and 19
are also included in the adult study.
Second,
MRI has years of historical data on the relationship between the reading
frequency and recency; the TEENMARK data were examined for consistency with
these adult data relationships.
To
make the TEENMARK magazine readership data compatible to the adult magazine
readership data, the following procedure was undertaken: the frequency
and the recency questions were asked almost identically in both studies, yet,
due to the methodological differences described above, produced different
results; specifically the relationship between frequency and recency data was
different for the teen and the adult studies. To render the TEENMARK
readership data equivalent with adult data, six years of each magazine's
historical frequency/recency relationship was calculated.
Within each frequency -- 1, 2, 3, or 4 of the average four issues --
the recency responses from the Teen Study were conformed to their historical
relationships with frequency for each magazine.
The data were conformed separately for each of three age groups --
12-14, 15-17, 18-19 -- to maintain response consistency within age cohorts.
The
recency data for magazines not measured in the adult study were conformed to
an averaged, historical frequency-recency relationship.
The
resultant adjusted data correlate closely with the readership by 18 and 19
year olds of magazines also measured in the adult research. This
indicates that the restoration of the historical frequency-recency
relationship overcomes to a great degree the differential results which arose
from the employment of the separate data collection techniques.
The questionnaire contained five questions relating to the Internet and on-line service usage. The five questions released this year are worded as follows: · "In the last 30 days, have you accessed the Internet in any of the following places?"
The radio listening question for weekday listening asks: "Please write in approximately how much time you usually spend listening to or hearing a radio on an average weekday, Monday through Friday (for each of the time periods shown below). Include all listening, whether in your home, car or any other place."
For each time period mentioned, the respondent was asked to write in the call letters of the stations and to indicate whether the station was an AM or an FM station.
The same questioning sequence was applied to Saturday and Sunday listening separately, with the respondent answering for the "average Saturday" or "average Sunday."
The questionnaire contained two sets of questions for television viewing. The first set asked about usual viewing on an "average weekday" and on an average Saturday and an average Sunday. The question was worded as follows:
"Please write in approximately how much time you usually spend watching television on an average weekday, Monday through Friday, for each of the time periods shown."
Time periods varied by time zone in which the teenager resided. Similar questions were asked for Saturday and for Sunday viewing, but the time periods were fewer than for the average weekday.
In addition to these questions, the survey measured teen viewing of specific programs. The recency and frequency of viewing, along with attention levels and place of viewing, were asked for daily (Monday through Friday) programs, weekly programs and weekend programs.
The question on cable television viewing was:
"About how many hours have you watched each of the following cable services in the past 7 days?"
In order to keep the data consistent with the adult study the teen responses were cleaned based on the earlier collected information on household subscription to cable television or ownership of a satellite dish.
The questionnaire contained nine categories relating to the teenager's interests and attitudes. The topics that were released this year are as follows:
A limited number of demographic questions were asked of the teenagers. In addition to these, a number of responses by the adult in the same household regarding household data were carried over to the teen survey.
The collection of information on product use and consumption followed the demographic and media sections of the questionnaire. To be consistent with the adult study, questions common to the adult and teen study were asked in exactly the same format, including timeframe. Additional questions, particularly relevant to the teen market, were added to the product sections. As a result, not all of the product data can be merged with the adult study.
All data processing procedures are consistent with those employed by MRI for the adult study with one notable exception: because all data are collected by a single questionnaire, there is no data ascription. For a detailed description of other data processing procedures, please refer to the MRI Technical Guide for the Adult Study.
The TEENMARK study is weighted and sample balanced to conform to estimates provided by the U.S. Bureau of the Census and Market Statistics.
The first stage, weighting, accounts for the differential probabilities of household selection for the study. The factors affecting these probability rates and the applied weights are discussed in detail in the Technical Guide for the Adult Study.
After weighting, the sample is balanced within sex on the following population parameters:
The sample balancing procedure is the widely used technique first discussed by W. Edwards Deming in his book "Statistical Adjustment of Data". After sample balancing, the distribution of weights is inspected and the "outlier" weights are trimmed to reduce the sampling tolerance levels. The tables below compare the before and after balancing estimates.
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TEEN
MEN
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TEEN
WOMEN
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% Before | % After | % Before | % After | |
|
Total |
100.0 |
100.0 |
100.0 |
100.0 |
|
|
12-14 |
44.5 | 38.9 | 43.4 | 38.6 | |
|
15-17 |
41.0 | 38.1 | 42.0 | 38.6 | |
|
18-19 |
14.5 | 23.1 | 14.6 | 22.8 | |
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|
|
|
|
|
|
|
WHITE |
82.1 | 78.1 | 82.3 | 79.2 | |
|
BLACK |
11.2 | 15.5 | 11.1 | 15.3 | |
|
OTHER |
6.7 | 6.4 | 6.6 | 5.5 | |
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NE
MET |
18.8 | 15.9 | 13.9 | 16.0 | |
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NE
NON-MET |
1.2 | 2.0 | 1.0 | 2.0 | |
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NC
MET |
23.3 | 16.8 | 25.1 | 16.9 | |
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NC
NON-MET |
7.4 | 6.3 | 7.1 | 6.1 | |
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S
MET |
22.8 | 26.9 | 24.6 | 27.0 | |
|
S
NON-MET |
6.3 | 8.8 | 6.5 | 8.6 | |
|
W
MET |
18.3 | 20.0 | 19.5 | 20.1 | |
|
W
NON-MET |
1.8 | 3.3 | 2.4 | 3.3 | |
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HHI |
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LESS
THAN 15K |
5.0 | 9.0 | 5.5 | 9.6 | |
|
15-24K |
8.7 | 9.6 | 7.4 | 9.9 | |
|
25-34K |
9.9 | 10.5 | 10.2 | 10.5 | |
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35-49K |
17.6 | 14.9 | 20.4 | 14.5 | |
|
50-74K |
26.7 | 21.2 | 24.5 | 20.6 | |
|
75K+ |
32.1 | 34.9 | 32.0 | 34.9 | |
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IN
SCHOOL |
94.2 | 89.4 | 95.8 | 90.5 | |
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NOT
IN SCHOOL |
5.8 | 10.6 | 4.2 | 9.5 | |
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COUNTY SIZE |
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A |
44.8 | 39.5 | 44.7 | 39.7 | |
|
B |
28.5 | 30.0 | 28.3 | 30.0 | |
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C/D |
26.6 | 30.5 | 27.1 | 30.3 | |
All sample surveys are characterized by sampling tolerances. Sampling tolerance is the difference that can be expected between the results of a sample survey and the results of a full survey or census, using the same procedures and techniques. This is the difference due to the chance selection of one group of respondents or another. For a more extensive discussion of the differences in sampling tolerance levels, please refer to the Technical Guide for the Adult Study.
The calculated sampling tolerances for the media audiences are tabulated at the beginning of the audience volume. These are computed using a set of eight replicated subsamples of the total sample. The difference among the eight subsamples, which are chance differences, are used to estimate the sampling tolerances of the total sample.
The sample tolerances should be used to evaluate the precision of an estimate and the degree of confidence that can be placed in it.
For more information regarding Mediamark
Research, contact MRI at info@mediamark.nopworld.com.
Mediamark Research is a NOP
World company, a wholly-owned subsidiary of United Business Media.
Copyright 2005, Mediamark Research