L2. Causal Modelling

Embed Size (px)

Citation preview

  • 8/14/2019 L2. Causal Modelling

    1/31

    Causal Modelling

    Reading: Ch 1-3 of Morton, J. (2004)

    Understanding Developmental Disorders: ACausal Modelling Approach. Blackwell

    Publishing

    (Copies available on closed reserve)

  • 8/14/2019 L2. Causal Modelling

    2/31

  • 8/14/2019 L2. Causal Modelling

    3/31

    Development

    Unfolding of a particular pattern, as a result ofvariation in genes and variation in the

    environment

    Waddington (1940); reproduced in Slack (2002)

  • 8/14/2019 L2. Causal Modelling

    4/31

    Development

    Waddington (1940); reproduced in Slack (2002)

  • 8/14/2019 L2. Causal Modelling

    5/31

    Developmental theories

    Child psychology today is surprisingly free of

    interest in building models of general

    development. The discipline is filled with

    hyperactive attempts to accumulate data, but

    attempts to make sense of the data, in terms of

    models of basic developmental processes, arerelatively rare. (Valsiner, 1998, p.189)

  • 8/14/2019 L2. Causal Modelling

    6/31

    Theories

    Theories map explanatory concepts onto

    observations of phenomena to be explained

    through the use of bridging principles

    Development of STM capacity

    STM capacity increases during childhood

    rehearsal rate, phonological store

    memory span depends on rehearsal rate

    rehearsal rate increases with age

  • 8/14/2019 L2. Causal Modelling

    7/31

    Theories

    Theories tell us how to select, organize and

    interpret observations. They provide economical

    summaries of observations.

    Science is built up of facts, as a house is built

    of stones; but accumulation of facts is no

    more science than a heap of stones is ahouse.(Jules Henri Poincare, 1952)

  • 8/14/2019 L2. Causal Modelling

    8/31

    Theories

    Theories provide explanations of behaviour, and

    explanations are necessary if we wish to predict

    the behaviour of different individuals in different

    contexts at different times

    Guide research

    empirical statements must be tested

    stimulate new observations

  • 8/14/2019 L2. Causal Modelling

    9/31

    Theories

    Evaluating theories

    Falsifiable

    Empirically sound

    Internally consistent

    It should be parsimonious

    It should integrate previous research

  • 8/14/2019 L2. Causal Modelling

    10/31

    Developmental Theories

    Issues specific to developmental theories

    What is it that develops?

    How do nature and nurture contribute to

    development?

    Is the basis of developmental change

    qualitative or quantitative?

  • 8/14/2019 L2. Causal Modelling

    11/31

    Headline: Working mums blamed for

    childrens failures

    Full time workingmother

    Low achievementchild

    Even if this could be established as a causal

    relation, intervention requires understanding the

    mechanisms

  • 8/14/2019 L2. Causal Modelling

    12/31

    Other plausible models

    Workingmother

    Low achievement

    child

    Childsstate

    of mind

    Workingmother

    Childsstate

    of mind

    Low achievementchild

  • 8/14/2019 L2. Causal Modelling

    13/31

    Plausible models become complex

    Workingmother Childs

    stateof mind

    Motherunavailable

    Workingmother

    Motherunavailable

    No talkof

    school

    Child nointerestin school

    Low achievementchild

    Low achievementchild

  • 8/14/2019 L2. Causal Modelling

    14/31

    Causal Modelling

    Establishing cause is a complex issue

    Vast number of factors that may contribute to

    the effect

    Must define the problem properly

    Need a framework within which underlying

    ideas about cause can be expressed

    Must distinguish causal relationships from

    contingent ones (i.e. does being male cause

    delinquency?)

  • 8/14/2019 L2. Causal Modelling

    15/31

    Causal Modelling

    Morton & Frith (1995)

    Developed a framework within which causal

    models could be expressed

    The framework is theory neutral

    Allows the comparison of alternative theories

    about developmental psychology

    Causal modelling is a tool

  • 8/14/2019 L2. Causal Modelling

    16/31

    Causal Modelling

    Biology

    Cognition

    Behaviour

  • 8/14/2019 L2. Causal Modelling

    17/31

    Causal Modelling

    The jump between gene and behaviour is too big

    identifying genetic basis doesnt really explain

    behaviour (almost everything is heritable)

    probability of outcome given the gene is low

    Cognition is an essential part of any theory of

    development

    Cognitive factors mediate between biology and

    behaviour

  • 8/14/2019 L2. Causal Modelling

    18/31

    Causal Modelling

    Key points

    Distinguishes between various levels of

    discourse

    biology, cognition, behaviour

    Allows both genetic and environmental factors

    Distinguishes between descriptive modelsand causalmodels

  • 8/14/2019 L2. Causal Modelling

    19/31

    Ground Rules of Causal

    Modelling

    1. Start with biology

    2. Build causal chains

    3. Give a full account

    4. Specific over general

    5. Distinguish cognitive from behaviour

  • 8/14/2019 L2. Causal Modelling

    20/312

    Ground Rules of Causal

    Modelling

    6. Be cognitively economical

    7. Correlation is not causation

    8. Avoid circularity

    9. There is no single cause of anything

    10. Nothing is determined

  • 8/14/2019 L2. Causal Modelling

    21/312

    Autism

    Some have outstanding drawing/memory

    Lower IQ

    Slow to learn language

    Theory of mind or executive deficit?

    Socially strange

    No imagination

    Good at hidden figures/proof reading Genetic link (i.e. co-occurence in twins)

    Occurs more in boys than girls

    Early onset

  • 8/14/2019 L2. Causal Modelling

    22/312

    Autism

    biological

    cognitive

    behavioural

    TwinsMore boys than girls

    Theory of mind/EFNo imagination

    Good drawingSocially strangeLow IQ

  • 8/14/2019 L2. Causal Modelling

    23/312

    Autism

    biological

    cognitive

    behavioural

    TwinsMore boys than girls

    Theory of mind/EFNo imagination

    Good drawingSocially strangeLow IQ

    virus?

    faultyattachment?

  • 8/14/2019 L2. Causal Modelling

    24/312

    Autism

    genetic factor

    brain

    abnormality

  • 8/14/2019 L2. Causal Modelling

    25/312

    Autism

    genetic factor

    brain

    abnormalityvirus

  • 8/14/2019 L2. Causal Modelling

    26/31

  • 8/14/2019 L2. Causal Modelling

    27/312

    Autism

    cognitive

    cause

    lack of

    imagination

    lack of

    ToM

  • 8/14/2019 L2. Causal Modelling

    28/312

    Autism

    cognitive

    cause

    lack of

    imagination

    lack of

    ToM

    socially

    strange

    behaviour

  • 8/14/2019 L2. Causal Modelling

    29/312

    Autism

    geneticdifference

    brain

    difference

    brain

    difference

    ToM

    deficit

    lack of

    imagination

    low general

    ability

    social convention

    not learned

    function of

    language

    not learned

    socially strange

    behaviour

    delay in

    language

    no pretend

    play

    low

    IQ

    biological

    cognitive

    behavioural

  • 8/14/2019 L2. Causal Modelling

    30/313

    Causal Modelling

    Representing causal relationships

    help sort out thoughts, distinguish facts and

    theories

    separate biological, cognitive and

    behavioural elements

    a productive way of viewing and comparing

    theories

  • 8/14/2019 L2. Causal Modelling

    31/31

    Summary

    Developmental theories

    necessary to organise facts & generate

    predictions

    characteristics of a developmental theory

    Nature of cause

    Causal modelling approach

    biology, cognitive, behavioural

    Example: Autism