Lifespan A: Developmental, WEEK 2 Flashcards

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1
Q

Conditions for establishing a causal relationship

A
  • Observed variables MUST co-vary > events occur alongside each other > if they occur separately, this isn’t a causal relationship + third variable is present
  • Co-variation must not be spurious (other things cannot account for or impact it, third factors)
  • Causal factors must precede outcomes (temporality) does it occur. before something else?
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2
Q

Causal factors

NCF + SCF

A
  • Necessary causal factors (NCF): factor which MUST be present for an outcome to occur
  • Sufficient causal factor (SCF): factors that are enough alone to cause an outcome
  • E.G: It is impossible to develop tuberculosis w/o exposure to a particular bacterium (NCF) but not everyone exposed to the bacterium gets TB (it is not sufficient to cause TB alone)
  • E.G: paracetamol can relieve headaches (sufficient alone) but it is not necessary in the sense the absence of paracetamol causes headaches.
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3
Q

Cross sectional research

A
  • research conducted at a single point in time + compares performance in different age groups > describes patterns of relationships at a specific point in time
  • independent groups design
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4
Q

Benefits of using cross-sectional research

A
  • Can provide valuable evidence about course of development by comparing performance of different ages + looking at patterns at particular points
  • This type of research is helpful when we want to find developmental trends + relationship between co-variables
  • E.G: Zelazo (2013) found as age increases so does performance (upward trend so executive function improves w/ age)
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5
Q

Limitations of cross-sectional research

A
  • It is difficult to tell what causes what in cross sectional research and whether other variables are involved
  • when cross-sectional research tests dev theories, it doesn’t say anything about the course of a persons development over time (lacks dev trajectory) cant see rank order position
  • Age effects are confounded by cohort effects > differences between groups of people we study might not be due to age but due to other factors like socio-economic status
  • Cannot show that one thing precedes another
  • study of development needs multiple obs over time
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6
Q

Longitudinal research

A
  • Research that measures the same individuals at more than one point in time > used to study the course of development + the cause of it
  • Most appropriate way to study change in a person over time as we can see stability of individual difference + cause of dev
  • Longitudinal research helps to see if one variable is caused or impacted by another
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7
Q

Types of longitudinal research

A
  • Panel studies: tracks on group/cohort two or more times
  • Multiple cohort studies: tracks more than one cohort of ppt across 2 or more points
  • Intervention studies: tracking one or more groups of ppts before AND after experimental manipulation (similar to cross-sectional but is repeated measures + seen on more than one occasion)
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8
Q

How to choose panel study or multiple cohort study?

benefits

A
  • Panel studies can show maturational or developmental changes
  • Panel studies help us look at within person change
  • Problem with panel studies are period effects > a historical or cultural event could be shaping the nature of data being collected (period effect=culture/history affects childrens behaviour)
  • Multiple cohort study is best for studying development in life course
  • Both establishes a connection between a naturally occurring variable + outcome but is not a causal conn
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9
Q

How do intervention studies differ from panel & multiple cohort studies?
(benefits)

A
  • Intervention studies are an experimental longitudinal design
  • Panel + MC studies indicate developmental causes while intervention studies can show that one variable CAUSES another. (but these connections may not exist in real life) > establishes a connection between a naturally occurring variable + outcome but
  • Intervention studies work by manipulating what we think is a factor in dev (avoids spuriousness) & classic experimental design used to establish causation
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10
Q

Bryant (1990)

A
  • Believes we need to use both cross-sectional research + longitudinal research if intervention isnt used
  • Bryant says panel or multiple cohort studies should be used to establish a naturally occurring connection between variables, then intervention study used to establish a definite causal connection
  • If we use just cross sectional research, we undermine the claim of being a natural part of dev
  • If we use just longitudinal, we undermine developmental claims
  • We can find NCF + SCF by using both research
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11
Q

Limitations of longitudinal studies

A
  • Expensive in terms of staff + resources required
  • results take a long amount of time to be seen as it is done over time
  • Attrition rates are an issue as it can affect the validity of findings as those who stay in the study may differ to those who leave > high attrition can be avoided by collecting wide range of contact info, creating good rapport w/ ppt, keeping regular contact. > some attrition is unavoidable though like death.
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12
Q

Genetically sensitive research designs:

behaviour genetics

A
  • where we use genetically sensitive research designs to understand genetic & environmental contributions to cognition & behaviour
  • Humans share 99% of DNA, behaviour genetics focus on the 1% variation which are called segregating genes
  • 2 branches of behaviour genetics:
    1. quantitative genetics: estimates genetic + environmental influence on individual difference in pop > shows how EV can increase or suppress heritability
    2. molecular genetics: identifies specific DNA variants associated w/ certain traits > shows how certain variation in gene interacts w/ EV, affecting behaviour
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13
Q

Advantage of genetically sensitive research:

Avinun & Knafo-Noam (2017)

A
  • their role is distinct in the sequence of development + has clearer cause than cross-sectional + longitudinal
  • shows how genes + EV are intertwined + interact
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14
Q

Genetic similarities between family members

A
  • Monozygotic twins share close to 100% of genes
  • Dizygotic twins share 50% of segregating genes
  • Siblings share 50%
  • Half siblings share 25%
  • Adopted kids share 0%
  • Biological parents + kids share 50%
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15
Q

Twin studies

A
  • If pairs of MZ twins have more similar scores on a particular trait than pairs of DZ twins, this suggests the trait is heritable (influenced by genes)
  • 1% of all births are twins, 1/3 out of that 1% are MZ twins (does this make their results less generalisable)
  • Correlations are used to compare MZ + DZ twins using an equation
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16
Q

Factors impacting twins development

A
  • Additive genetic effect: heritability estimate derived from comparing correlations between MZ + DZ twins
  • Common environment: non-genetic influence affecting children in the same house > assumed equal in MZ + DZ twins
  • Non-shared environment: experiences unique to the individual (eg: their group of friends differ to their twin)
17
Q

What is heritability?

A
  • refers to how much variation between people can be accounted for by genetics > the differences we see in the pop can be accounted for by genetic factors
  • heritability is not the same as innate > eg: walking on two legs is not heritable as it is universal, everyone should walk on 2 legs, unless due to environmental causes
18
Q

Genetically sensitive research design:

adoption studies

A
  • Adoption studies capitalise on the fact adopted kids and adoptive parents only share ev + not genes while biological parent shares genes + not the ev
  • Adoption studies compare adoptive families to biologically related families to understand to what extent certain things are driven by genes or ev
19
Q

Limitations of genetically sensitive designs:

A
  • 15/1000 births are twins > this is an issue as these parents may have a different experience to parents who don’t have twins. > e.g: twins are more likely to have a low birth weight, increased risk of disability + parents using IVF are 7x more likely to have twins (IVF is used by people of high status so twins are more likely to be born in high socio-economic household)
  • Adopted children don’t usually get taken at birth, on average they get taken at 3 years old and spend 2 years in care > adopted kids may be impacted by EV in care + biological parents rather than just EV
20
Q

Quantitative genetics

A
  • pinpoints certain genes to relate to development + psychological phenomenon
  • seeks to find if individuals with a particular trait are more likely to have a certain genetic allele > are certain variations of genes associated w/ certain outcomes
21
Q

Age effects

A
  • Difference in age = difference in performance or behaviour (unrelated to period/cohort)
22
Q

Cohort effects

A
  • Variations over time and between people from different cohorts > these variations are due to some sort of shared experience such as year of birth or year of a certain event (e.g. first year uni students in 2020 had a different experience to first year students in 2019 due to COVID-19 > cohort effect)
23
Q

Period effect

A
  • Refers to social/historical/cultural event which may impact behaviour