The Spy Dialer Directory
Mobile phones buy you a degree of anonymity since cell numbers aren't usually listed in phone books, but if you need to find a cell phone number or the owner of a cell number, you can still do it for free — all it takes is a little digging. The National Cellular Directory offers a "happy hour" each day, which is a one-hour window for free premium people searches.
You can search by name to find a person's number or by number to find a person's name, and you're allotted up to two free searches during each happy hour. Happy hour shifts from day to day, so you need create an account with the National Cellular Directory to get in on the action. Then follow the directory on Twitter and Facebook, which is where the company disseminates information about the next happy hour. Keep an eye out for the announcement about each day's hour and run your two free searches.
This directory isn't guaranteed because the people listed in it must voluntarily opt in, but it's still worth a shot — just make sure you're not paying for it. Spy Dialer is another online cell phone directory, but people-to-number listings are relatively sparse. Since it's free and just takes a few seconds to search a name — as long as you know the person's city and state — it's worth a shot.
You'll likely have better luck with the reverse number search on Spy Dialer. Spy Dialer's reverse number lookup allows you to input a cell phone number and receive information on the person's name and city. However, it only provides a first name and no specific address — if you want to get more specific than that, you have to pay for information from PeopleFinders.
The combined dataset includes 10, landline respondents and 3, cell respondents, including 1, cell phone only respondents. This design allows us to test the validity of geographic information from landline and cell phone samples simultaneously and to analyze the accuracy of the information for different types of cell respondents cell only, cell mostly, and others who use their cell phones less frequently. We also use data from a survey focused on geographic mobility to evaluate whether types of phone-use groups differ in their patterns of mobility. The geographic information derived from cell phone numbers is subject to a great deal of error, and the size of the error increases as the geographic unit of analysis gets smaller.
For geographic analysis at the regional level e. Error rates increase when moving to the state level. The amount of error is larger at the county level of analysis. In the landline sample, the size of the error is considerably smaller. The percent not matched is lower, though still widespread, for adults with landline and cell phones. In the landline sample, the size of the error does not vary substantially across phone use groups and is much smaller than in the cell sample.
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Overall, there are only slight differences among various demographic groups in the accuracy of the geographic information provided with the cell sample. A slightly greater share of men than women live in a different location than the sample information derived from their cell phone number would suggest. More young people are not matched than those who a re age 50 and older. More whites than blacks live in a zip code that is different from the geographic information provided with the sample.
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Also, more college graduates than those with a high school education or less live in an area different from their cell phone number. There are also differences by region. Underlying some of the inaccuracies in geographic information for the cell sample are variations in mobility patterns among different phone use groups.
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The landline-only have also lived in their communities longer than people with a cell phone; they have lived in their community for more than 20 years on average, nearly twice as long as the cell mostly 11 years and cell-only groups 9 years. On the other end of the spectrum, significantly more of the landline-only and duals who use their cell phones less often have lived in their communities for 20 or more years. These differences may also reflect demographic differences in mobility patterns see Who Moves? Who Stays Put? The mobile nature of wireless phones creates a significant problem for geographic sampling, particularly as the size of the area being surveyed gets smaller.
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Because numbers are not associated with physical addresses, there can be a large amount of error in the geographic information associated with cell phone numbers. To address this issue, respondents who do not live in the area may be identified and screened out of the survey, but people who live in the area but have cell phone numbers from a different area will not be covered in the sampling frame. The size of the error is relatively small at the regional and state level but compromises the ability to accurately sample smaller geographic areas. For sampling within cities, counties or other more narrow geographic areas, surveyors should consider other alternatives to random digit dialing RDD.
Address-based sampling allows surveyors to locate respondents with a great deal of accuracy and can provide even more possibilities for sampling at small geographic areas than telephone surveys can.
Several studies 2 have documented how address-based sampling can cover the wireless-only population and provide at least comparable results to those gained from RDD telephone surveys. Because there can be a significant amount of error associated with the geographic information provided with the sample, surveyors wishing to conduct geographic data analysis should explore other alternatives. Information can be collected from respondents to replace or at least supplement that provided with the sample. It is important to collect information at the appropriate level of precision for the desired analysis.