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Final Report

Model Deployment of a Regional,
Multi-Modal 511 Traveler Information System



Appendix B

Sample Weights

The construction of survey weights is a standard survey practice. Weighting of survey data is typically performed to adjust the relative importance of any one response to reflect that not all survey respondents were selected with the same probabilities, to reduce bias in survey estimates from differing patterns of response, and to align sample respondent distributions to known population distributions to improve coverage and precision.

Evaluation of the Need for Weights

The survey was designed as a stratified systematic probability sample with time-of-day and day-of-week as stratification factors. The sample size was proportionally allocated to each stratum based upon historical call volumes, and the same intercept rate was to be employed in each stratum. Therefore, each respondent would have a roughly equal probability of selection regardless of the stratum. However, due to logistical constraints and other factors, the intercepts were not conducted at a uniform rate, resulting in unequal probabilities of selection that need to be adjusted for with the survey weights. Additionally, the response rates for this survey varied significantly between the strata (see Figure B-1). Both of these factors resulted in the distribution of completed interviews differing from the distribution of callers into the 511 system (see Figure B-2 and Figure B-3). In particular, a higher percentage of interviews were completed during the end of the week than the beginning of the week compared to the distribution of all calls, and a higher percentage of completed interviews were from the evening rush compared to the distribution of all calls.

The plot indicates the highest response rate occurred on Saturday with a high of 75, followed by response rates for Monday and Wednesday, which were both about 50. Tuesday and Sunday response rates had highs between 35 and 40. For Thursday and Friday, response rates had highs at about 25. The indicated mean across the week ranged between 15 and 30.

Figure B-1. Box-and-Whisker Plot of Response Rates by Day-of-Week
(mean indicated by "+")


Bar chart plotting percent values over days of the week, comparing calls to 511 and completed interviews. Values for calls to 511 are 15.4 on Sunday, 13.2 on Monday, 11.9 on Tuesday, with values for completed interviews lower for the same days: 13.4 on Sunday, 9.0 on Monday, and 8.5 on Tuesday. The trends reverse for the rest of the week, with values for calls at 15.2 on Wednesday, 10.0 on Thursday, 12.4 on Friday, and 22.1 on Saturday, while values for completed interviews are 16.3 on Wednesday, 12.9 on Thursday, 15.8 on Friday, and 24.1 on Saturday.

Figure B-2. Distribution of 511 Calls and Completed Interviews by Day-of-Week


Bar chart plotting percent values over clock time periods. Values for calls to 511 are 2.3 for 5:00 a.m. and 11.4 for 6 to 7:00 a.m., and completed interviews are slightly higher, at 2.9 for 5:00 a.m. and 11.4 for 6 to 7:00 a.m. Values for calls to 511 are 13.1 for 8 to 9:00 a.m., 14.0 for 10 to 11:00 a.m., and 11 for 12 to 1:00 p.m., and completed interviews are lower, at 7.8 for 8 to 9:00 a.m., 7.3 for 10 to 11:00 a.m., and 8.3 for 12 to 1:00 p.m. Values for calls to 511 are 14.4 for 2 to 3:00 p.m., 15.9 for 4 to 5:00 p.m., 12.7 for 6 to 7:00 p.m., and 6.9 for 8 to 9:00 p.m., and completed interviews are higher, at 15.3 for 2 to 3:00 p.m., 19.2 for 4 to 5:00 p.m., 16.3 for 6 to 7:00 p.m., and 10.9 for 8 to 9:00 p.m.

Figure B-3. Distribution of 511 Calls and Completed Interviews by Time-of-Day

Construction of the Weights

Weights for this survey were constructed using a three-step process in which each step modifies an interim weight developed in the previous step. These steps are outlined below.

Step 1. Calculate Base Weight: The base weight in stratum i was calculated as the reciprocal of the probability of selection.

The equation states that the term base weight subscript i is equal to a fraction term, the numerator of which is the variable number of 511 calls subscript i and the denominator of which is the variable number of intercepted call subscript i.

Step 2. Calculate Adjustment for Response Rate: The base weight in each stratum was adjusted to account for differences in the stratum-specific response rates by multiplying the base weight by the reciprocal of its stratum-specific response rate.

The equation states that the term adjusted weight subscript i is equal to the expression base weight subscript i multiplied by a fraction term, the numerator of which is the variable number of intercepted calls subscript i and the denominator of which is the variable number of completed surveys subscript i.

Step 3. Normalize Weights: In this survey, the true number of unique callers to the 511 system is not known because many callers use the system multiple times. It is not possible to completely identify all of these multiple users through a unique identifier, such as the telephone tag in the 511 server logs, because this information is not available for every call. Thus, it is impossible to align the survey distributions of individuals who completed the survey to the overall population of individuals. Therefore, the final step in creating the survey weights was to normalize the weights back to the size of the sample (i.e., number of completed surveys) by dividing the calculated weight by the average weight. This maintains all of the relative adjustments for differing probabilities of selection and response, but will result in weighted survey estimates with sample totals instead of population totals. Note that the number of strata is represented by s in the two equations that were used to normalize the weights.

The equation states that the term weight subscript i is equal to a complex expression composed of two fraction terms. In the first fraction term, the numerator is the variable weight subscript i and the denominator is a fraction term in parenthesis, the numerator of which is the expression summation sign, with limit s and j = 1, of the variable adjusted weight subscript j multiplied by the variable number of completed surveys subscript j, and the denominator of which is the expression summation sign, with limit s and j = 1, of the variable number of completed surveys subscript j. This expression is multiplied by a fraction term, the numerator of which is the variable number of appointments made subscript i and the denominator of which is the variable number of completed surveys subscript i.


The equation states that the term final weight subscript i is equal to a fraction expression, the numerator of which is the variable weight subscript i and the denominator of which is a complex fraction term in which the numerator is the expression summation sign with limit s and j = 1 of the variable weight subscript j multiplied by the variable number of completed surveys sub j, and the dominator is the expression summation sign with limit s and j = 1 of the variable number of completed surveys subscript j.

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