SP1<\/b>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 How much have you heard or read about SPAM, or junk email?\u00a0 Have you heard or read\u2026? <\/p>\n
Based on internet users [N=1,421]<\/b> <\/p>\n
SP2\u00a0\u00a0\u00a0\u00a0\u00a0 <\/b>We\u2019d like to know if unsolicited email, or spam, has affected you in any of the following ways.\u00a0 Has spam\u2026? <\/p>\n
Based on email users [N=1,295]<\/b> <\/p>\n
SP4<\/b>\u00a0\u00a0\u00a0\u00a0 Thinking about your email\u2026\u00a0 Do you have\u2026[3. In June 2003 this question was asked only of email users currently employed full or part-time. Trend figures are based on all email users, with those not currently employed included in the \u201cno\u201d response category.] <\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on email users [N=1,295]<\/b><\/p>\n
SP5\u00a0\u00a0\u00a0\u00a0\u00a0 <\/b>Thinking just about your PERSONAL email account\u2026In the past 12 months, have you noticed any change in the amount of spam you receive in your PERSONAL email account?\u00a0\u00a0 IF YES:<\/b> Are you getting MORE or LESS spam in your PERSONAL email than you were before?[4. In Feb 2004, question wording was \u201cThinking about your PERSONAL email account\u2026Since January 1st of this year, have you noticed any change in the amount of spam you receive in your PERSONAL email account? IF YES: Are you getting MORE or LESS spam in your PERSONAL email since that date?\u201d]<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on those with personal email account [N=1,116]<\/b> <\/p>\n
SP6<\/b>\u00a0\u00a0\u00a0\u00a0 Thinking just about your WORK email account\u2026 In the past 12 months, have you noticed any change in the amount of spam you receive in your WORK account?\u00a0\u00a0 IF YES:<\/b> Are you getting MORE or LESS spam in your WORK email than you were before?[5. In Feb 2004, question wording was \u201cThinking about your WORK email account\u2026Since January 1st of this year, have you noticed any change in the amount of spam you receive in your WORK account? IF YES: Are you getting MORE or LESS spam in your WORK email since that date?\u201d]<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on those with work email account [N=599]<\/b> <\/p>\n
SP18\u00a0\u00a0\u00a0 <\/strong>We\u2019d like to know if you have ever done the following things to avoid receiving spam or junk email in an email account.\u00a0 Have you ever\u2026?<\/p>\n \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on email users [N=1,295]<\/b> <\/p>\n
SP31<\/b>\u00a0\u00a0\u00a0 If you received\u2026[INSERT; ROTATE] would you think of this as spam, or not?<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on email users [N=1,295]<\/b> <\/p>\n
SP3\u00a0\u00a0\u00a0\u00a0 <\/strong>Thinking about all of the times you\u2019ve received unsolicited email, have you ever\u2026?<\/p>\n \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on Email users [N=1,295]<\/b> <\/p>\n
SP7a<\/b>\u00a0\u00a0\u00a0\u00a0 Have you ever provided personal financial information that was requested in an unsolicited email?<\/p>\n
Based on those who have gotten unsolicited email requesting personal financial information [N=460]<\/b> <\/p>\n
SP7b<\/b>\u00a0\u00a0\u00a0 In the past 12 months, have you noticed any change in the amount of PORNOGRAPHIC spam you receive?\u00a0 IF YES:<\/b> Are you getting MORE or LESS pornographic spam than you were before?[6. In February 2004, question wording was \u201cAnd since January 1st of this year, have you noticed any change in the amount of PORNOGRAPHIC spam you receive? IF YES: Are you getting MORE or LESS pornographic spam since that date?\u201d]<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on those who received pornographic spam [N=822]<\/b> <\/p>\n
SP8<\/b>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Have you ever responded to an email offer, only to find out later it was phony or fraudulent? <\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Based on email users [N=1,295]<\/b> <\/p>\n
Methodology<\/h3>\n\n This report is based on the findings of a daily tracking survey on Americans’ use of the Internet. The results in this report are based on data from telephone interviews conducted by Princeton Survey Research Associates between January 13 to February 9, 2005, among a sample of 2,201 adults, 18 and older.\u00a0 For results based on the total sample, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus 2.2 <\/b>percentage points.\u00a0 For results based Internet users (n=1,421), the margin of sampling error is plus or minus 2.7 percentage points.\u00a0 The margin of error for estimates based on Form A or Form B respondents is plus or minus 3.2 percentage points.\u00a0 In addition to sampling error, question wording and practical difficulties in conducting telephone surveys may introduce some error or bias into the findings of opinion polls.<\/p>\n\n
The sample for this survey is a random digit sample of telephone numbers selected from telephone exchanges in the continental United States. The random digit aspect of the sample is used to avoid \u201clisting\u201d bias and provides representation of both listed and unlisted numbers (including not-yet-listed numbers). The design of the sample achieves this representation by random generation of the last two digits of telephone numbers selected on the basis of their area code, telephone exchange, and bank number.<\/p>\n\n
New sample was released daily and was kept in the field for at least five days. The sample was released in replicates, which are representative subsamples of the larger population. This ensures that complete call procedures were followed for the entire sample.\u00a0 At least 10 attempts were made to complete an interview at sampled households. The calls were staggered over times of day and days of the week to maximize the chances of making contact with a potential respondent. Each household received at least one daytime call in an attempt to find someone at home.\u00a0 In each contacted household, interviewers asked to speak with the youngest male currently at home. If no male was available, interviewers asked to speak with the oldest female at home. This systematic respondent selection technique has been shown to produce samples that closely mirror the population in terms of age and gender.\u00a0 All interviews completed on any given day were considered to be the final sample for that day. The overall response rate was 30.1%.<\/p>\n\n
Non-response in telephone interviews produces some known biases in survey-derived estimates because participation tends to vary for different subgroups of the population, and these subgroups are likely to vary also on questions of substantive interest. In order to compensate for these known biases, the sample data are weighted by form in analysis. The demographic weighting parameters are derived from a special analysis of the most recently available Census Bureau\u2019s 2004 Annual Social and Economic Supplement (March 2004). This analysis produces population parameters for the demographic characteristics of adults age 18 or older, living in households that contain a telephone. These parameters are then compared with the sample characteristics to construct sample weights. The weights are derived using an iterative technique that simultaneously balances the distribution of all weighting parameters.\u00a0 <\/p>","protected":false},"excerpt":{"rendered":"
January 2005 Daily Tracking Survey Final Topline, 2\/11\/05 Data for January 13 \u2013 February 9, 2005 Princeton Survey Research Associates International for the Pew Internet & American Life Project Sample: n = 2,201 adults 18 and older Interviewing dates: 01.13.05 \u2013 02.09.05 Margin of error is plus or minus 2 percentage points for results based 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![\"Please](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/wp-content\/uploads\/sites\/9\/media\/CE6967C2BC0C4FC3862407605D9586FB.jpg\")
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<\/figure>\n<\/p>\n![\"How](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/wp-content\/uploads\/sites\/9\/media\/84F36091324D4D828659F24F9AD8C677.jpg\")
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<\/figure>\n<\/p>\n![\"SP7a](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/wp-content\/uploads\/sites\/9\/media\/44600D08A44241F9B031BA83D0CD8C11.jpg\")
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<\/figure>\n<\/p>\n![\"SP8](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/internet\/wp-content\/uploads\/sites\/9\/media\/AA98FFF802A64372B6E7B3CB37BA7019.jpg\")
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