Unless otherwise specified, the per diem locality is defined as "all locations within, or entirely surrounded by, the corporate limits of the key city, including independent entities located within those boundaries." Traveler reimbursement is based on the location of the work activities and not the accommodations, unless lodging is not available at the work activity, then the agency may authorize the rate where lodging is obtained. Visit GSA SmartPay to find state tax exemption forms and/or links directly to state websites.įind federal forms and applications, by agency name on USA.gov. This is a list of forms from GSA and other agencies that are frequently used by GSA employees. This is a list of optional government forms that start with the letters "OF". This is a list of standard government forms that start with the letters "SF". These are most often used by GSA employees, contractors and customers. The GSA Forms Library contains these forms and views: GSA 527 - Contractor's Qualifications and Financial Information - Renewed. GSA 19M - Request for a Medical Exception to the COVID-19 Vaccination Requirement - Created. GSA 12002 - High Risk Operation - Revised. SF 328 - Certificate Pertaining to Foreign Interests - Renewed. SF 330 - Architect-Engineer Qualifications - Revised. GSA 19R - Request for a Religious Exception to the COVID-19 Vaccination Requirement - Revised. GSA 300 - Order for Supplies and Services - Revised. GSA 527 - Contractor's Qualifications and Financial Information - Revised. GSA 308 - Notice of Inspection - Renewed. GSA 1678 - Status Report of Orders and Shipments - Renewed. GSA 3667 - Application for Pretax Transportation Fringe Benefits - Revised. OF 3667 - Application for Pretax Transportation Fringe Benefits (Clients) - Revised. GSA 1655 - Pre-Exit Clearance Checklist - Revised. Government Lease of Real Property - Revised. GSA 1582 - Revocable License for Non-Federal Use of Real Property - Revised. SF 76 - Voter Registration and Absentee Ballot Request: Federal Post Card Application (FPCA) - Revised. SF 186 - Federal Write-In Absentee Ballot (FWAB) - Revised. GSA 873 - Annual Attendance Record - 2022 - Revised. Your good health and presence on the job are very important to us and are essential for the smooth operation of the department.OF 873 - Annual Attendance Record (Clients) - 2022 - Revised. We hope that this letter which will be placed in your personnel file provides the incentive for you to improve your sick leave usage. You may also receive a less than good rating on your performance appraisal in the area of “attendance”. This letter shall serve as a written warning, that if excessive sick leave usage continues, you will be placed of a medical certificate requirement. Despite our mutual efforts you have failed to achieve a level of good attendance. _ occasions were in conjunction with weekends.Īs I noted in our meeting on _, your continued absenteeism is of serious concern. Attendance records indicate that since _, you have used a total of _ days on _ occasions. Your uneven attendance is beginning to affect other parts of your job, making improvement even more essential. Please consider this a letter of warning concerning your continuing attendance problems. Subject: Written Warning for Sick Leave Use
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The best estimates of Internet access indicate that roughly one third of the U.S. Not surprisingly, coverage error is a major factor when the research goal is to represent the general population. Sometimes, but not always, these respondents are offered the opportunity to join an online panel.īecause nonprobability panels account for the largest share of online research and because they represent a substantial departure from traditional methods the report’s overriding focus is on nonprobability panels.Įarly on the Task Force decided to conduct its evaluation from a Total Survey Error perspective. Once a respondent agrees to do a survey he or she answers a few qualification questions and then is routed to a waiting survey. In this approach respondents are recruited directly to specific surveys using methods similar to the way in which nonprobability panels are built. Probability-based panels generally have many fewer members than the nonprobability panels that dominate online research.Ī third type of online sample source is generally referred to as river sampling. In cases where a sampled person may not have Internet access, the panel company might choose to provide access as a benefit of joining. People join by going to the panel company’s Web site and providing varying amounts of personal and demographic information that is later used to select panelists for specific surveys.Ī few panels recruit their members using traditional probability-based methods such as RDD sampling. Those offers are generally presented as opportunities to earn money but also emphasize the chance to have a voice in new products and services and the fun of taking surveys. Rather, they use a broad range of methods, most of which are online, to place offers to join in front of prospective panelists. The vast majority are not constructed using probability-based recruitment. This is its report.Ī key first step was to distinguish among the various kinds of online panels based on their recruitment methods. In September, 2008, the AAPOR Executive Council established an Opt-In Online Panel Task Force and charged it with “reviewing the current empirical findings related to opt-in online panels utilized for data collection and developing recommendations for AAPOR members.” The Council further specified that the charge did not include development of best practices, but rather would “provide key information and recommendations about whether and when opt-in panels might be best utilized and how best to judge their quality.” The Task Force was formed in October, 2008. The Industry-wide Focus on Panel Data QualityĪppendix A: Portion of the CASRO Code of Standards and Ethics dealing with Internet ResearchĪppendix B: ESOMAR 26 Questions to Help Research Buyers of Online SamplesĪppendix C: AAPOR Statement - Web Surveys Unlikely to Represent All ViewsĪppendix D: AAPOR Statement - Opt-in Surveys and Margin of Error Sample Adjustments to Reduce Error and Bias Measurement Error in Online Panel Surveys Linda Piekarski, Survey Sampling Internationalĭan Zahs, Market Strategies InternationalĮrrors of Nonobservation in Online Panel Surveys Philip Garland, Survey Sampling International Centers for Disease Control and Prevention Reg Baker, Market Strategies International and Task Force Chair Prepared for the AAPOR Executive Council by a Task Force operating under the auspices of the AAPOR Standards Committee, with members including: Report on Online Panels AAPOR Report on Online Panels
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