FAMILY SIZE, BIRTH ORDER, AND INTELLIGENCE

这项持续研究的目的是检查两个 相关问题：（1）测量智力与 （2）家庭规模; 智力和出生顺序 分析将基于数据 来自威斯康星州纵向研究。 我们的第二篇研究论文是关于智力与 和家庭规模将集中在这个问题上，“智能如何 影响生育能力。“研究将包括路径和其他 多变量分析背景因素，智商， 干预因素影响生育率。 出生顺序对智商影响的研究 首先以通常的方式与家庭之间的数据，从完整的 威斯康星州的样本。 第二种更新颖的方法将 采用来自威斯康星州同胞样本的家庭内数据， 将使用由出生索引的应答者-同胞智商差异 被调查者和同胞的顺序，作为因变量。 这 家庭内的差异自动控制了许多 混杂因素，因为应答者和SIB相同 父母 因此，第二种方法有望提供更多的 比第一个更有信息量的结果。 威斯康星州的同胞样本是 非常适合测试的关键结果比第一。 威斯康星州 sib样本非常适合测试最新的关键预测 Zajonc-Markus融合模型的一个版本， 相关的家庭结构变量影响智力 发展 这个汇流模型的测试，也将 包括对兄弟姐妹规模效应的调查，将构成一个主要的 继续研究的重点。 这项研究将继续解决人口问题 质量源于家庭规模的关联 和兄弟姐妹的位置与测量的智力和协会 智力和生育能力的关系

The objective of this continuing reaserch is to examine two related questions: (1) the relation between measured intelligence and family size; and (2) the relation between measured intelligence and birth order. The analyses will be based on data from the Wisconsin Longitudinal Study. Our second research paper on the relation between intelligence and family size will focus on the question, "How Intelligence Affects Fertility." The research will include path and other multivariate analyses of how background factors, IQ, and intervening factors affect fertility. The research on the influence of birth order on IQ will be done first in the usual way with between-families data from the full Wisconsin sample. The second and more novel approach will employ within-families data from the Wisconsin sib sample and will use the respondent-sib difference in IQ, indexed by birth orders of respondent and sib, as the dependent variable. This within-family difference automatically controls for many confounding factors, since respondent and sib share the same parents. The second approach therefore promises to give more informative results than the first. The Wisconsin sib sample is well-suited to test the key results than the first. The Wisconsin sib sample is well-suited to test the key prediction of the latest version of the Zajonc-Markus confluence model of how birth order and related family structure variables affect intellectural development. This test of the confluence model, which will also include investigation of sibship size effects, will form a major focus of the continuing research. The research will continue to address questions about population quality deriving from the associations of size of family of origin and sibling position with measured intelligence and the association of measured intelligence with fertility.