Identifying predictors of survey mode preference.

To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of "preferred" modes to sample members.

Trans Collaborations Clinical Check-In (TC3): Initial Validation of a Clinical Measure for Transgender and Gender Diverse Adults Receiving Psychological Services.

One key aspect of evidence-based psychological services is monitoring progress to inform treatment decision making, often using a brief self-report measure. However, no such measure exists to support measurement-based care, given the distinct needs of transgender and gender diverse people (TGD), a group facing large documented health disparities and marginalization in health care. The purpose of the present study was to develop and provide initial psychometric validation of a short, behavioral health progress monitoring self-report measure, the Trans Collaborations Clinical Check-in (TC3). TGD communities, providers identified as TGD-affirmative, and relevant academic experts contributed to item and scale development. The final 18-item version was administered to 215 TGD adults (75 transfeminine, 76 transmasculine, 46 nonbinary, 18 unknown; mean age of 30 with a range of 19 to 73), who were recruited for an online study, with other questionnaires assessing negative affect, well-being, gender dysphoria, gender minority stressors, and resilience. Higher scores on the TC3 (indicating better adjustment and comfort with gender) were generally associated with lower depression, anxiety, minority stress, and gender dysphoria and greater life satisfaction, body congruence, and positive aspects of being TGD such as pride in identity and community belongingness. These results support the validity of the TC3 as a brief measure to be used as a clinical tool for TGD people receiving mental health services. Additional research is needed on the reliability and validity of the TC3 across multiple time points to determine utility as a progress monitoring measure. The TC3 should also be further validated with more culturally diverse samples.

Design effects in the transition to web-based surveys.

Innovation within survey modes should always be mitigated by concerns about survey quality and in particular sampling, coverage, nonresponse, and measurement error. This is as true today with the development of web surveying as it was in the 1970s when telephone surveying was being developed. This paper focuses on measurement error in web surveys. Although Internet technology provides significant opportunities for innovation in survey design, systematic research has yet to be conducted on how most of the possible innovations might affect measurement error, leaving many survey designers "out in the cold." This paper summarizes recent research to provide an overview of how choosing the web mode affects the asking and answering of questions. It starts with examples of how question formats used in other survey modes perform differently in the web mode. It then provides examples of how the visual design of web surveys can influence answers in unexpected ways and how researchers can strategically use visual design to get respondents to provide their answers in a desired format. Finally, the paper concludes with suggested guidelines for web survey design.