Dr Heidi Leeson External Evaluator Dr Heidi Leeson - External - PowerPoint PPT Presentation

Dr Heidi Leeson External Evaluator

▪ Dr Heidi Leeson - External Evaluator ▪ Specialise in using advanced statistical techniques to measure impact of interventions. ▪ Psychometrics (test and survey development); psychology; educational measurement; medical and health sciences (health inequalities and social determinants of health; health behaviour)

▪ Senior Research Fellow & Principal Investigator – School of Population Health ▪ Let’s Beat Diabetes (Counties Manakau DHB) ▪ Nutrition and Physical Activity (Nelson Marlborough DHB) ▪ Healthy Eating and Healthy Action (& Enua Ola) ▪ Growing up in New Zealand (Cohort alignment across New Zealand births) ▪ Snr. Lecturer – Teacher, Learning and Development School of Education, University of Auckland ▪ Cognitive Psychology ▪ Assessment and measurement ▪ e-asTTle development and psychometrics

▪ What is SEM? ▪ A range of models that help us evaluate the validity of theories against actual empirical data ▪ We can test the latent constructs (e.g., wellbeing) by using the tools that have been designed to measure these construct’s domains – The Better Life Index (OECD, 2015) ▪ Work-life balance ▪ Housing ▪ Health status etc. ▪ Why use SEM? ▪ Model complex relationships and see the impact that variables have on the outcome (area of interest) ▪ Pinpoint what variable is having the greatest impact (and what is not) against your outcome – informs policy, resources, programmes etc.

Parminder R. et al. (2005). The health and well-being of caregivers of children with cerebral palsy.115:e626-e636 http://pediatrics.aappublications.org/content/115/6/e626.

Results shows that: - Caregivers self-perception has the strongest impact on family functioning (.56)…which in turn, has a strong impact on both psychological (.33) and physical health (.33) Parminder R. et al. (2005). The health and well-being of caregivers of children with cerebral palsy.115:e626-e636 http://pediatrics.aappublications.org/content/115/6/e626.

Furnham, A., & Cheng, H. (2017). Socio-demographic indicators, intelligence, and Locus of Control as predictors of adult financial well-being. Journal of Intelligence, 5. doi:10.3390/jintelligence5020011. http://www.mdpi.com/2079-3200/5/2/11/htm

Results shows that: - A child’s intelligence at 10 years old is the strongest predictor of financial well-being at 38 years old (.28) - Interestingly, parental social status at birth has little impact on financial well-being at 38 years old (.17) Furnham, A., & Cheng, H. (2017). Socio-demographic indicators, intelligence, and Locus of Control as predictors of adult financial well-being. Journal of Intelligence, 5. doi:10.3390/jintelligence5020011. http://www.mdpi.com/2079-3200/5/2/11/htm

Kinderman P, Schwannauer M, Pontin E, Tai S (2013) Psychological Processes Mediate the Impact of Familial Risk, Social Circumstances and Life Events on Mental Health. PLOS ONE 8(10): e76564. https://doi.org/10.1371/journal.pone.0076564 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0076564

Results shows that: - Negative relationship between well being and mental health problems (-.82) - Circumstances is a very strong predictor of type of psychological processes that are adopted (4.21) - Family mental health history impacts strongly on psychological processes Kinderman P, Schwannauer M, Pontin E, Tai S (2013) Psychological Processes Mediate the Impact of Familial Risk, Social Circumstances and Life Events on Mental Health. PLOS ONE 8(10): e76564. https://doi.org/10.1371/journal.pone.0076564 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0076564

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