| Title |
The (Conditional) Resource Dilution Model: State- and Community-Level Modifications
|
|---|---|
| Published in |
Demography, May 2016
|
| DOI | 10.1007/s13524-016-0471-0 |
| Pubmed ID | |
| Authors |
Benjamin G. Gibbs, Joseph Workman, Douglas B. Downey |
| Abstract |
One of the most consistent patterns in the social sciences is the relationship between sibship size and educational outcomes: those with fewer siblings outperform those with many. The resource dilution (RD) model emphasizes the increasing division of parental resources within the nuclear family as the number of children grows, yet it fails to account for instances when the relationship between sibship size and education is often weak or even positive. To reconcile, we introduce a conditional resource dilution (CRD) model to acknowledge that nonparental investments might aid in children's development and condition the effect of siblings. We revisit the General Social Surveys (1972-2010) and find support for a CRD approach: the relationship between sibship size and educational attainment has declined during the first half of the twentieth century, and this relationship varies across religious groups. Findings suggest that state and community resources can offset the impact of resource dilution-a more sociological interpretation of sibship size patterns than that of the traditional RD model. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 44% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 17 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 19 | 38% |
| Economics, Econometrics and Finance | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Psychology | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 18 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2022.
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#699,817
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Outputs from Demography
#191
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Outputs of similar age
#12,670
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Outputs of similar age from Demography
#3
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