Tag Archives: SES

Parenting: Socio-Economic vs IQ – The Bell Curve

In considering the many ills that face society, there has been a large focus on the socio-economic status of the family or of the individual in the desire to explain the condition at hand.  For example, if a child grows up to become a criminal, we ask, “what was the socio-economic condition of that child or his parents?”

The idea behind this, of course, is that if we can isolate the failure to the economic inequality of society, then we can begin to “fix it” through governmental programs bent on promoting “equality.”

But what if there was another reason why people did the things they do?  In this section, I speak about Parenting as discussed in the book, “The Bell Curve.”

In the chapter regarding parenting, the first condition discussed is low birth weight babies.  Previously I have shown data that suggests that the SES status of the mother has little bearing on the determination of that condition in children.

But IQ:

 

As mentioned, the impact of the socio-economic status of the mother is nominal; the IQ of the mother is not.  A low IQ has a major impact on the chance of a baby being born with a low birth weight; SES – not as much.

After being born, the child must face life.  Specifically the prospect of being poor.  Initially, the authors held all variable constant and displayed the prospects of a child remaining poor in the fist 3 years of life based on the mother’s SES.  It didn’t look good.  But what happens if we include IQ:

No change.  The poverty rate of the child is equally determined by the SES and the IQ of the mother.  With the data showing such an exact match as both SES and IQ moved from low to high, I suspect that there is a case where one is determined by the other.

Again, following the sections in this chapter, the topic switches to the Home Index:

The Home Observation for Measurement of the Environment (HOME) Inventory is designed to measure the quality and extent of stimulation available to a child in the home environment. The Infant/Toddler HOME Inventory (IT-HOME) comprises 45 items that provide information from the child’s perspective on stimuli found to affect children’s cognitive development. Assessors make observations during home visits when the child is awake and engaged in activities typical for that time of the day and conduct an interview with a parent or guardian. The IT-HOME is organized into six subscales: (1) Responsivity: the extent of responsiveness of the parent to the child; (2) Acceptance: parental acceptance of suboptimal behavior and avoidance of restriction and punishment; (3) Organization: including regularity and predictability of the environment; (4) Learning Materials: provision of appropriate play and learning materials; (5) Involvement: extent of parental involvement; and (6) Variety in daily stimulation. For the IT-HOME, 18 items are based on observation, 15 on interview, and 12 on either observation or interview.

This index was applied to the population in the study and the result showed that the socio-economic status of the mother played a role in the HOME Index rating.  However, IQ played an even more significant role:

As you can see, a lower IQ is more devastating than a poor mother while I high IQ is more beneficial than a wealthy mother.

As the child grows, the development of the child can be impacted by the  conditions of the home, poverty and parenting skills are, of course, two of those conditions.  In an attempt to measure this development, the authors conducted a survey of 4 developmental indicators and if a child scored in the bottom decile for any of the 4, they scored a “Yes” on the “development index.”  If not, they scored a no.

The results:

The pattern is again, presented.  IQ at the low end is more detrimental than poverty while at the high end, IQ is more advantageous than being wealthy.  However, in this specific study that difference is marginal.

The final section of the chapter looks into the IQ of the child and tries to determine the significance of been raised in a home more exposed to the challenges of poverty vs. being raised in a more affluent home.  Additionally, the same investigation is conducted using the key variable of IQ:

The result is consistent with data already being demonstrated in this and other chapters.  The argument can be made that when isolating the socio-economic status of families and of mothers in the study the well being of the child generally suffers as that mother becomes poorer.  However, when all variables are held constant save IQ, those other factors are diminished to the point of being statistically insignificant.

IQ matters.

Education: Socioeconomics vs IQ – The Bell Curve

The second installment of the comparison of socioeconomic status and IQ.  This post examines the impact of each on:

  1. Dropping out of school
  2. Obtaining a GED
  3. Graduating from college

In a previous post, I showed various charts.  Among them is the probability of cropping out of school based on the SES of the family:

The pattern is clear, kids from wealthier families have a better chance of obtaining a high school education.

The came the data showing the probability of a kid, who has dropped out, obtaining a GED:

This is a tale that is counter-intuitive.  We expect the narrative to be that rich kids do better than poor kids.  But this data shows the opposite for folks who obtain a GED after dropping out of school.

Finally we show data that speak to college degrees.  College is, arguably, a key factor to the success of an individual in today’s society.  Maybe.

The data suggests a massive SES impact.  Very few kids from the poorest families are graduating college while nearly 40% of the wealthiest kids are achieving that milestone.

The data is somewhat mixed.  High school and college graduation rates seem highly dependent on the SES of the parents while attainment of a GED is the exact opposite.

Now, what if we add in the predictive value of IQ?

First, dropping out of school:

The first thing that should be apparent is that dropping out of school is rare for kids of either average SES or intelligence.  But dropout rates escalate dramatically for those of below average intelligence.  IQ is more than a 3x predictor than SES of the school dropout.

How does GED look?

The data including IQ doesn’t change the fact that obtaining a GED goes against the commonly held belief that kids from poorer households do worse than the rich kids.  Even accounting for IQ, the folks from the poorer families obtain a GED at higher rates than do kids from wealthier households.

Our last look into education is the college graduation rate:

Again, a dramatic difference.  With one exception; the data shows very little difference between low SES and low IQ.  But when it comes to highly intelligent kids, it doesn’t matter if they come from poorer families or wealthier families; the kids are graduating college at a better than 75% clip.

As with poverty, IQ plays a dominant role in the educational attainment of our children.  All else being equal, the smarter the kid, the better they will achieve educationally.