Suzanne Keddie, Ila Fazzio, Siddharudha Shivalli, Nicholas Magill, Diana Elbourne, Dropti Sharma, Sajjan Singh Shekhawat, Rukmini Banerji, Sridevi Karnati, Harshavardhan Reddy, Alex Eble, Peter Boone, Chris Frost
Statistical analysis plan for a cluster randomised trial in Madhya Pradesh, India: support to rural India's public education system and impact on numeracy and literacy scores (STRIPES2)
Trials
key question developmental sciences whether developmental differences quantitative qualitative example age increase speed processing task quantitative differences age affect way task processed qualitative differences findings domain decision making based assumption developmental differences either quantitative qualitative current study took different approach tested whether development best described quantitative qualitative administered judgment version choice version decisionmaking task developmental sample njudgment 109 nchoice 137 mage 125 years age range 918 task socalled gambling machine task required decisions two options characterized constant gains probabilistic losses characteristics known beforehand thus need learned experience data analyzed comparing fit quantitative qualitative latent variable models socalled multiple indicator multiple cause mimic models results indicated individual differences judgment choice tasks quantitative pertained individual differences consideration gains extent decisions guided gains differences affected age judgment version choice version task discuss implications theories decision making discuss potential limitations extensions also argue mimic approach useful domains example test quantitative versus qualitative development categorization reasoning math memory