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Interviewers are carefully trained to understand not only the specific meaning of the words in the <br /> questionnaire script, but also the broader purpose of the survey. Experienced supervisors are <br /> always on -site and available to interviewers. Calls are frequently monitored by supervisors. If <br /> desired, staff of the SECWCD and the CWCB may listen in remotely to the interviewing. <br /> For this project, reaching the correct person within each surveyed water agency will be key. <br /> Special training will be given to the interviewers to ensure that they know the correct person to <br /> reach. NRC's call center has extensive experience in "business to business" calling, and the <br /> interviewers are skilled at navigating through gatekeepers to reach the appropriate person. We <br /> would recommend that a CWCB staff member join us for the training of the interviewers on this <br /> important part of the project. In addition, interviewers will be given more information about the <br /> purpose of the interview, and responses to typical questions that may arise. <br /> Each agency /phone number will be called a minimum of 10 times, and likely closer to 15 times <br /> before being assigned a "final disposition." We understand that it will require many calls to <br /> reach the correct person, and then to schedule a time for the interview itself. <br /> Task 2.3: Assemble Survey Response Dataset <br /> Use of a CATI system means all collected data are entered into the dataset at the time of the <br /> interview. Skip patterns are programmed into CATI so interviewers are automatically "skipped" <br /> to the appropriate question based on the individual responses being given. Before the data are <br /> analyzed, an in -depth cleaning of the data is conducted as part of the standard quality control <br /> procedures. <br /> Task 3: Data Analysis <br /> This task will develop analyses of the survey response dataset and in some cases will create <br /> comparisons of the results against data obtained in the 2003 survey. Key elements in the data <br /> analysis task include: <br /> • Identifying entities currently experiencing drought <br /> • Determining the status of drought plan development among Colorado water providers <br /> • Evaluating drought preparedness in 2007 <br /> • Quantifying changes and developments in drought planning since the 2002 drought <br /> • Identifying provider needs for drought supply improvements and drought response <br /> planning <br /> • Analyzing specific areas where state assistance in drought planning is requested <br /> • Measuring support for various proposed state drought and conservation projects <br /> The survey response data will be analyzed using SPSS, a statistical software package. The <br /> analysis task will be strongly influenced by the survey instrument developed in Task 2.1. Some <br /> questions can be quantified numerically in the analysis process while others require descriptive <br /> analysis and careful characterization of responses. The goal of the analysis process is to develop <br /> an accurate and balanced portrayal of provider responses to the survey so that the final report <br /> presents the most reliable information possible. <br />