Predicting psychological and subjective well-being from personality: A meta-analysis. J Anglim, S Horwood, LD Smillie, RJ Marrero, JK Wood Psychological bulletin 146 (4), 279, 2020 | 677 | 2020 |
Problematic smartphone usage and subjective and psychological well-being S Horwood, J Anglim Computers in Human Behavior 97, 44-50, 2019 | 273 | 2019 |
Associations between child temperament, maternal feeding practices and child body mass index during the pre-school years: a systematic review of the literature. B Bergmeier, H., Skouteris, H., Horwood, S., Hooley Obesity Reviews, 2013 | 195* | 2013 |
Personality and problematic smartphone use: A facet-level analysis using the Five Factor Model and HEXACO frameworks S Horwood, J Anglim Computers in Human Behavior 85, 349-359, 2018 | 154 | 2018 |
Effect of the COVID-19 pandemic and big five personality on subjective and psychological well-being J Anglim, S Horwood Social Psychological and Personality Science 12 (8), 1527-1537, 2021 | 126 | 2021 |
Child temperament and maternal predictors of preschool children’s eating and body mass index. A prospective study H Bergmeier, H Skouteris, S Horwood, M Hooley, B Richardson Appetite 74, 125-132, 2014 | 65 | 2014 |
Emotion regulation difficulties, personality, and problematic smartphone use S Horwood, J Anglim Cyberpsychology, Behavior, and Social Networking 24 (4), 275-281, 2021 | 64 | 2021 |
Personality and intelligence: A meta-analysis. J Anglim, PD Dunlop, S Wee, S Horwood, JK Wood, A Marty Psychological Bulletin 148 (5-6), 301, 2022 | 56 | 2022 |
Problematic smartphone use in a large nationally representative sample: Age, reporting biases, and technology concerns S Horwood, J Anglim, SR Mallawaarachchi Computers in Human Behavior 122, 106848, 2021 | 39 | 2021 |
Type D personality and the Five-Factor Model: A facet-level analysis S Horwood, J Anglim, G Tooley Personality and Individual Differences 83, 50-54, 2015 | 34 | 2015 |
Statistically modelling the relationships between Type D personality and social support, health behaviors and symptom severity in chronic illness groups S Horwood, J Anglim, G Tooley Psychology & health 31 (9), 1047-1063, 2016 | 29 | 2016 |
Examining temporal regularity in categorical team communication using sample entropy AJ Strang, S Horwood, C Best, GJ Funke, BA Knott, SM Russell Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56 (1 …, 2012 | 26 | 2012 |
Adolescent screen time: associations with school stress and school satisfaction across 38 countries A Khan, EY Lee, S Horwood European Journal of Pediatrics 181 (6), 2273-2281, 2022 | 22 | 2022 |
A critical analysis of the assumptions of Type D personality: comparing prediction of health-related variables with the Five Factor Model S Horwood, J Anglim Personality and Individual Differences 117, 172-176, 2017 | 21 | 2017 |
A less evaluative measure of Big Five personality: Comparison of structure and criterion validity JK Wood, J Anglim, S Horwood European Journal of Personality 36 (5), 809-824, 2022 | 19 | 2022 |
Associations of smartphone and tablet use in early childhood with psychosocial, cognitive and sleep factors: a systematic review and meta-analysis SR Mallawaarachchi, J Anglim, M Hooley, S Horwood Early Childhood Research Quarterly 60, 13-33, 2022 | 19 | 2022 |
Self and other ratings of problematic smartphone use: the role of personality and relationship type S Horwood, J Anglim Computers in Human Behavior 116, 106634, 2021 | 15 | 2021 |
Examining the prevalence of type‐d personality in an Australian population S Horwood, D Chamravi, G Tooley Australian Psychologist 50 (3), 212-218, 2015 | 12 | 2015 |
Persuasive design-related motivators, ability factors and prompts in early childhood apps: A content analysis SR Mallawaarachchi, A Tieppo, M Hooley, S Horwood Computers in Human Behavior 139, 107492, 2023 | 10 | 2023 |
Associations between adolescent sleep difficulties and active versus passive screen time across 38 countries A Khan, MAH Reyad, E Edwards, S Horwood Journal of Affective Disorders 320, 298-304, 2023 | 9 | 2023 |