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

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Presentation transcript:

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 Flying Start in Wales The Incredible Years Parent- Toddler Programme

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.

Aim of PhD To investigate the predictive value of socioeconomic disadvantage to maternal outcomes of language To investigate the impact of the Incredible Years Parent- Toddler programme on measures of maternal language

Predicting Parenting Behaviours in Wales 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?

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

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)

IT-HOME Predicted by: Quality of Housing Employment Education Marital Status Language Quantity Predicted by: Quality of Housing Employment Diversity Predicted by: Quality of Housing Employment Marital Status Results: Individual Risk Factors

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

Summary 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

ANY QUESTIONS? THANK YOU FOR LISTENING!