ASPECT: A survey to assess student perspective of engagement in an active-learning classroom BL Wiggins, SL Eddy, L Wener-Fligner, K Freisem, DZ Grunspan, ... CBE—Life Sciences Education 16 (2), ar32, 2017 | 149 | 2017 |
BioSkills Guide: Development and National Validation of a Tool for Interpreting the Vision and Change Core Competencies AW Clemmons, J Timbrook, JC Herron, AJ Crowe CBE—Life Sciences Education 19 (4), 2020 | 106 | 2020 |
BioSkills guide. Core competencies for undergraduate biology A Clemmons, J Timbrook, J Herron, A Crowe QUBES Educational Resources, 2019 | 18* | 2019 |
Why do cell phone interviews last longer? A behavior coding perspective J Timbrook, K Olson, JD Smyth Public opinion quarterly 82 (3), 553-582, 2018 | 18 | 2018 |
Are self-description scales better than agree/disagree scales? J Timbrook, JD Smyth, K Olson International Journal of Market Research 63 (2), 201-215, 2021 | 7 | 2021 |
Enhancing the measurement of hate crime in the NCVS: Developing and testing improvements to the survey questions L Langton, S Cook, C Krebs, YP Hsieh, J Timbrook RTI International. https://www. ojp. gov/pdffiles1/bjs/grants/301033. pdf, 2021 | 4 | 2021 |
Comparing coding of interviewer question-asking behaviors using recurrent neural networks to human coders J Timbrook, A Eck BigSurv18 Conference, Barcelona, Spain (25–27 October 2018). https://www …, 2018 | 2 | 2018 |
Ranking: Perceptions of Tied Ranks and Equal Intervals on a Modified Visual Analog Scale J Timbrook, WF Moroney Survey Practice 9 (3), 2016 | 2 | 2016 |
A comparison of a traditional ranking format to a drag-and-drop format with stacking JP Timbrook University of Dayton, 2013 | 2 | 2013 |
How Do Interviewers and Respondents Navigate Sexual Identity Questions in a CATI Survey? J Timbrook, JD Smyth, K Olson Understanding Survey Methodology: Sociological Theory and Applications, 219-245, 2020 | 1 | 2020 |
Humans vs. machines: comparing coding of interviewer question-asking behaviors using recurrent neural networks to human coders J Timbrook, A Eck | 1 | 2019 |
Crafting a Question Bank: Insights from the Development of the Emergency Economic Information Collections (EEIC) Question Bank K Blackburn, R Stenger, J Timbrook, YP Hsieh, C Ellis, K Stettler, ... 79th Annual AAPOR Conference, 2024 | | 2024 |
Shuffling the Cards: The Impact of Varying Contacts across Longitudinal Survey Waves A Griggs, RJ Powell, J Timbrook, M Hobbs, S Dean, BJ Burke, AE Aiello, ... 79th Annual AAPOR Conference, 2024 | | 2024 |
Development and Cognitive Testing of the Emergency Economic Information Collection (EEIC) Question Bank v2. 0 YP Hsieh, K Stettler, J Timbrook, K Blackburn, R Stenger, C Ellis, ... 79th Annual AAPOR Conference, 2024 | | 2024 |
Beyond One Size Fits All: Using Machine Learning to Customize Email Outreach in a Longitudinal Study RJ Powell, J Timbrook, MA Duprey, BJ Burke, S Dean, AE Aiello, ... 79th Annual AAPOR Conference, 2024 | | 2024 |
The Task Is to Improve the Ask: An Experimental Approach to Developing Optimal Prompts for Generating Survey Questions from Generative AI Tools. TD Buskirk, A Eck, J Timbrook 79th Annual AAPOR Conference, 2024 | | 2024 |
AAPOR Regional Chapter Student Paper Winners J Timbrook 79th Annual AAPOR Conference, 2024 | | 2024 |
Experimenting with Optimal Amount and Timing of Incentives in a Postsecondary Student Survey J Franklin, E Peytcheva, J Timbrook, R Killough, P Siegel, J Wine 79th Annual AAPOR Conference, 2024 | | 2024 |
Designing and Executing a Large-Scale Cognitive Test for Developing an Establishment Survey Question Bank: Best Practices and Lesson Learned YP Hsieh, D Willimack, K Stettler, J Timbrook, K Blackburn, R Stenger, ... 78th Annual AAPOR Conference, 2023 | | 2023 |
Automating Quality Assessment of Survey Interviews J Timbrook, S Eckman, K Weitzel, M Schultz 78th Annual AAPOR Conference, 2023 | | 2023 |