Pearson Clinical & Talent Assessment (Barcelona, Spain).
Psicothema. 2017 Nov;29(4):469-474. doi: 10.7334/psicothema2017.33.
This study examines the effect of parental educational levels, sex, and family structure on the WISC-V Full Scale IQ (FSIQ) and primary index scores (VCI, VSI, FRI, WMI, and PSI) in a representative sample of children from Spain ( N = 1008).
Differences between demographic groups were examined using independent-samples t-test , ANOVA and Hochberg post hoc tests. A multiple regression analysis was performed to examine whether demographic variables could predict children’s FSIQ score.
Results showed that the parents’ educational level was a significant predictor of children’s FSIQ and significant increases in mean FSIQ and primary index scores were found as the parents’ educational level increased. Sex was not a significant predictor of children’s FSIQ but slight sex differences were found for PSI. The family structure was a significant predictor of FSIQ but its contribution to the global model was small. Children from two-parent families obtained higher FSIQ, VCI, VSI, and FRI mean scores than children from single parent families.
The results support the design of a normative sample stratified by demographic variables. Parental education levels, as a good predictor of children’s FSIQ score, must be taken into account as a key stratification variable.
本研究考察了父母受教育程度、性别和家庭结构对西班牙代表性儿童样本(N=1008)的 WISC-V 全量表智商(FSIQ)和主要指标分数(VCI、VSI、FRI、WMI 和 PSI)的影响。
采用独立样本 t 检验、方差分析和 Hochberg 事后检验比较人口统计学组之间的差异。进行多元回归分析,以检验人口统计学变量是否可以预测儿童的 FSIQ 分数。
结果表明,父母的受教育程度是儿童 FSIQ 的显著预测因子,随着父母受教育程度的提高,儿童的 FSIQ 和主要指标分数的平均值显著增加。性别不是儿童 FSIQ 的显著预测因子,但在 PSI 方面发现了轻微的性别差异。家庭结构是 FSIQ 的显著预测因子,但对总体模型的贡献较小。来自双亲家庭的儿童比来自单亲家庭的儿童获得更高的 FSIQ、VCI、VSI 和 FRI 平均分数。
研究结果支持按人口统计学变量分层的常模设计。父母的教育水平是儿童 FSIQ 分数的良好预测因子,必须作为关键分层变量加以考虑。