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Parent-Child Language in Wales

Parent-Child Language in Wales. Presented by: Nicole Gridley Supervisors: Judy Hutchings and Helen Baker-Henningham. Overview. Background to PhD Aims of the PhD Flying Start Sample Predicting Parenting Behaviours and Language Summary. Background to PhD. Poverty and poor outcomes

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Parent-Child Language in Wales

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  1. Parent-Child Language in Wales Presented by: Nicole Gridley Supervisors: Judy Hutchings and Helen Baker-Henningham

  2. Overview psp80b@bangor.ac.uk Background to PhD Aims of the PhD Flying Start Sample Predicting Parenting Behaviours and Language Summary

  3. Background to PhD Poverty and poor outcomes Flying Start in Wales The Incredible Years Parent-Toddler Programme psp80b@bangor.ac.uk

  4. Evaluation Of IY Toddler Evaluating the Incredible Years Parent-Toddler Programme in Wales Griffith et al. (2011) • 104 recruited at Baseline • 6 month Follow-Up • Plethora of measures: • Demographics and home environment • Parental depression/well-being/stress/competence • Child developmental assessment • 81 agreed to complete a 30-minute video-taped free-play observation at Baseline. psp80b@bangor.ac.uk

  5. To investigate the predictive value of socio-economic disadvantage to maternal outcomes of language • To investigate the impact of the Incredible Years Parent-Toddler programme on measures of maternal language Aim of PhD psp80b@bangor.ac.uk

  6. Targeting within Flying Start relies on income-based approaches, and geographical locations. • Disadvantages to this approach • Already know that other SES risk factors predict differences in parenting styles and child directed speech. • Is this true of the Flying Start sample? Predicting Parenting Behaviours in Wales psp80b@bangor.ac.uk

  7. Sample Characteristics 81 parent-child dyads that had consented to being video-taped during free-play 79 mothers, 2 fathers 13 Welsh first language dyads psp80b@bangor.ac.uk

  8. Measures Predictors: • 5 Risk factors drawn from the PDHQ • Education/ Marital status/ Family size/ Employment & Housing Quality Parental Outcomes: • IT-HOME total scores • Total Number of Words (Quantity) • Total Number of Different Words (Diversity) psp80b@bangor.ac.uk

  9. Results:Individual Risk Factors IT-HOME Language Quantity Predicted by: Quality of Housing Employment Diversity Predicted by: Quality of Housing Employment Marital Status Predicted by: • Quality of Housing • Employment • Education • Marital Status psp80b@bangor.ac.uk

  10. Results: Multiple Risk • Evidence for multiple risk. • 2 or more risk factors predicted significantly poorer outcomes • The more risk factors present, the poorer the parental outcome. Figure 1. Impact of multiple-risk using effect sizes for maternal language and HOME outcomes psp80b@bangor.ac.uk

  11. Not all risk factors are predictive of poor parental outcomes • For Flying Start, Housing Quality is the most predictive risk factor • Evidence for multiple risk stresses the importance of targeting correctly Summary psp80b@bangor.ac.uk

  12. ANY QUESTIONS? THANK YOU FOR LISTENING! psp80b@bangor.ac.uk

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