| Linking twitter and survey data: The impact of survey mode and demographics on consent rates across three UK studies T Al Baghal, L Sloan, C Jessop, ML Williams, P Burnap Social Science Computer Review 38 (5), 517-532, 2020 | 103 | 2020 |
| Linking survey and Twitter data: informed consent, disclosure, security, and archiving L Sloan, C Jessop, T Al Baghal, M Williams Journal of Empirical Research on Human Research Ethics 15 (1-2), 63-76, 2020 | 82 | 2020 |
| Language proficiency among respondents: Implications for data quality in a longitudinal face-to-face survey A Wenz, T Al Baghal, A Gaia Journal of survey statistics and methodology 9 (1), 73-93, 2021 | 80 | 2021 |
| Using motivational statements in web-instrument design to reduce item-missing rates in a mixed-mode context T Al Baghal, P Lynn Public Opinion Quarterly 79 (2), 568-579, 2015 | 48 | 2015 |
| Memory, communication, and data quality in calendar interviews RF Belli, I Bilgen, T Al Baghal Public opinion quarterly 77 (S1), 194-219, 2013 | 48 | 2013 |
| Are the" four factors" indicators of one factor? an application of structural equation modeling methodology to NBA data in prediction of winning percentage T Baghal Journal of Quantitative Analysis in Sports 8 (1), 2012 | 44 | 2012 |
| Can we frame the terrorist threat? Issue frames, the perception of threat, and opinions on counterterrorism policies DP Haider-Markel, MR Joslyn, MT Al-Baghal Terrorism and Political Violence 18 (4), 545-559, 2006 | 38 | 2006 |
| Understanding Society–The UK Household Longitudinal Study, Innovation Panel, Waves 1-9, User Manual A Jäckle, A Gaia, T Al Baghal, J Burton, P Lynn Colchester: University of Essex, 2017 | 31 | 2017 |
| Linking administrative records to surveys: Differences in the correlates to consent decisions T Al Baghal, G Knies, J Burton Institute for Social and Economic Research University of Essex …, 2014 | 29 | 2014 |
| Linking Twitter and survey data: asymmetry in quantity and its impact T Al Baghal, A Wenz, L Sloan, C Jessop EPJ Data Science 10 (1), 32, 2021 | 27 | 2021 |
| Obtaining data linkage consent for children: factors influencing outcomes and potential biases T Al Baghal International Journal of Social Research Methodology 19 (6), 623-643, 2016 | 22 | 2016 |
| Is vague valid? The comparative predictive validity of vague quantifiers and numeric response options T Al Baghal Survey Research Methods 8 (3), 169-179, 2014 | 21 | 2014 |
| Understanding society innovation panel wave 6: Results from methodological experiments N Allum, K Auspurg, M Blake, CL Booker, TF Crossley, J d'Ardenne, ... Understanding Society Working Paper Series, 2014 | 20 | 2014 |
| What are you doing now? Activity-level responses and recall failures in the American Time Use Survey T Al Baghal, RF Belli, AL Phillips, N Ruther Journal of Survey Statistics and Methodology 2 (4), 519-537, 2014 | 18 | 2014 |
| The measurement of risk perceptions: The case of smoking T Baghal Journal of Risk Research 14 (3), 351-364, 2011 | 18 | 2011 |
| The Effect of Online and Mixed-Mode Measurement of Cognitive Ability T Al Baghal Social Science Computer Review, 2018 | 17 | 2018 |
| Informed consent for linking survey and social media data-differences between platforms and data types J Breuer, T Al Baghal, L Sloan, L Bishop, D Kondyli, A Linardis IASSIST quarterly 45 (1), 2021 | 16 | 2021 |
| A randomised study of nurse collected venous blood and self-collected dried blood spots for the assessment of cardiovascular risk factors in the Understanding Society … M Kumari, A Andrayas, T Al Baghal, J Burton, TF Crossley, KS Jones, ... Scientific reports 13 (1), 13008, 2023 | 14 | 2023 |
| Parallel associations and the structure of autobiographical knowledge RF Belli, T Al Baghal Journal of Applied Research in Memory and Cognition 5 (2), 150-157, 2016 | 14 | 2016 |
| Numeric estimation and response options: an examination of the accuracy of numeric and vague quantifier responses T Al Baghal Journal of Methods and Measurement in the Social Sciences 5 (2), 58-75, 2014 | 10 | 2014 |
