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Contingent parental investment: An evolutionary framework for understanding early interaction between mothers and children

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Contingent parental investment: An evolutionary framework for understanding early interaction between mothers and children David Beaulieu, Daphne Bugental – PowerPoint PPT presentation

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Title: Contingent parental investment: An evolutionary framework for understanding early interaction between mothers and children


1
Contingent parental investment An evolutionary
framework for understanding early interaction
between mothers and children
  • David Beaulieu, Daphne Bugental

Presented by Shelby Johanson, Michelle Cho
2
Introduction
  • Trivers (1974) theory of parental investment
  • Zero-sum allocation of resources - any investment
    in one child means less investment in other
    current or future offspring.
  • Factors affecting parental investment
  • Low prospective reproductive potential of child
  • Low maternal resources
  • Supported by Daly and Wilson (1984, 1988),
    Garbarino (1985)

3
Introduction
4
Introduction
  • Non human examples
  • Birds (Gottlander,1987)
  • Primates (Nakamichi, 1986)
  • Human evidence
  • Parents in high poverty vs. high wealth
    neighborhoods
  • Past Experiment
  • By Beaulieu and Bugental
  • Matched pairs, limited measures of investment

5
Introduction
Current Study
  • Tested which model of PI (Additive or Contingent)
  • Contingent predicted to be stronger.
  • Looked at attentional resources
  • Most other studies have looked at physical
    resources.
  • Depressed mothers respond to infants with low
    levels of attention
  • Depressed mothers have low levels of attentional
    resources.

6
Introduction
Additional Tests
  • Trivers-Willard model (1973)
  • Mothers in good condition will
  • invest more in sons, mothers in
  • poor condition will invest more in daughters
  • Depression and low education marked poor
    condition
  • Hagen (2002) Age and parity
  • Older mothers will invest more in singleton
    offspring (Even if high-risk)
  • First born vs later born
  • Greater investment expected in later born (Rohde
    et al.)

7
Participants
  • 60 mothers and children
  • Within child abuse prevention program
  • 56 Latino, 4 Anglo mothers (mean age27)
  • Kids average age 8.56 weeks at intake, 20 months
    at follow up
  • Half of children premature, half full term
  • Groups were equivalent in other ways

Methods
8
Measures
  • Demographic variables
  • Birth history
  • Maternal depression
  • Measure of attentional resources.
  • Beck Depression Inventory (BDI)
  • Parental Investment
  • See next slide

Methods
9
Measures of PI
  • Motivational measure
  • Mothers shown 12 pictures of items (approximately
    equal value) available on the internet.
  • Half were mother directed, half child directed.
  • Mothers chose the three they would prefer as
    gifts at a later time.
  • Zero-Sum measure ranking of one to three
    according to number of items for mom vs child
  • Computational/perceptual measure
  • Mothers height estimation of child
  • Underestimation suggests mother believes child is
    weaker and more in need of investment.

Methods
10
  • Potential confounds
  • Maternal age, maternal education, maternal
    ethnicity, number of siblings, child gender, and
    presence of father.
  • Shown to not have a relationship with the
    dependent variables.
  • Procedure
  • Demographic and BDI at intake
  • PI at 18 month visit
  • In-home

Methods
11
Critiques
  • Sample
  • Limited in terms of ethnicity, education, etc.
    (Even if they found the variables to not be
    related)
  • PI was tested considerable after BDI scores were
    taken

Methods
12
Series of regression analyses
  • Maternal education and presence of father in the
    home
  • Maternal age and parity
  • Child gender and maternal condition
  • Childs birth order
  • First-born vs. later-born

Results
13
Hierarchical Regression Analysis
  • Step 1
  • Covariate
  • Differential participation in one of two home
    visitation programs
  • Step 2
  • Independent variables
  • Child gestational age and maternal scores on the
    BDI
  • Step 3
  • Predicted interaction

Results
14
Motivational Investment
Results
15
Computational Investment
Results
16
Motivational Indicators of PI
  • Benefits to the child vs. benefits to the self
  • Depressed mothers
  • Give benefits to full-term infants
  • Non-depressed mothers
  • Give benefits to preterm infants
  • Similar findings to nonhuman research
  • Mothers provide different resources based on
    characteristics of the young

Discussion
17
Computational Indicators of PI
  • Care giving responses
  • Mothers with low resources (depressive) and has
    premature infant
  • less protective care system
  • Non-depressed mothers with premature infant
  • more protective care system

Discussion
18
Supported or not?
  • Predictions for both Bugental and Beaulieu (2003)
    and Mann (1992) were supported

Discussion
19
Evidence for the other hypotheses
  • Differential investment
  • Occurs in male vs. female offspring based on the
    mothers condition
  • Not significant
  • Combined effects of maternal age and parity
  • It was not significant once follow-up analysis
    was applied
  • genders
  • No significance in birth order

Discussion
20
Limitations
  • Replication is needed
  • For observed effects
  • Useful to include other types of PI
  • Financial or time investment
  • Selective investment patterns was limited
  • Fathers low involvement in child care
  • Constraints
  • Age limitations

Discussion
21
Conclusion
  • If Then decision-making model
  • Good response from parents to
  • their offspring
  • Parental decisions are contingent on complex
    computations
  • Similarity in the investment pattern by both
    nonhuman and humans
  • Shared evolutionary influences

Discussion
22
THE END
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