Sato T, Narita T, Hirano S, Kusunoki K, Sakado K, Uehara T
Department of Psychiatry, Fujita Health University School of Medicine, Toyoake City, Aichi-ken, Japan.
Psychol Med. 1999 Jan;29(1):127-33. doi: 10.1017/s003329179800779x.
There is controversy surrounding the factor structure of the Parental Bonding Instrument (PBI), a widely used instrument for assessing perceived parental rearing behaviours. Recent studies have proposed five different factor structures, including Parker et al.'s original two-factor model.
Four hundred and eighteen employed Japanese adults filled out the PBI. Maximum likelihood confirmatory factor analyses were performed to compare the five different factor structures in terms of model-fit.
Parker's original two-factor structure fitted the data poorly. In general, three-factor structures showed better fit. Among the three-factor structures, Murphy's model and Kendler's model were superior (the adjusted goodness-of-fit index > 0.8), with the latter providing the best fit to the data (the goodness-of-fit index > 0.9). When considering invariance of factor structure across gender subgroups and across age subgroups, only Kendler's model was acceptable.
Parker's two-factor structure of the PBI may not be appropriate for assessing perceived parental rearing behaviours in a Japanese population. Three-factor structures, in particular Murphy's model and Kendler's model, are preferable. Kendler's model provided the best fit to the data and was relatively invariant across the subgroups in this study. Thus, Kendler's model might prove to be very important for obtaining a factor structure invariant across different cultures.
用于评估感知到的父母养育行为的广泛使用的工具——父母教养方式问卷（PBI）的因子结构存在争议。最近的研究提出了五种不同的因子结构，包括帕克等人最初的两因素模型。
418名在职日本成年人填写了PBI。进行了最大似然验证性因子分析，以比较五种不同因子结构的模型拟合情况。
帕克最初的两因素结构对数据的拟合较差。一般来说，三因素结构显示出更好的拟合。在三因素结构中，墨菲模型和肯德勒模型表现更优（调整拟合优度指数>0.8），其中肯德勒模型对数据的拟合最佳（拟合优度指数>0.9）。当考虑因子结构在性别亚组和年龄亚组间的不变性时，只有肯德勒模型是可接受的。
PBI的帕克两因素结构可能不适用于评估日本人群中感知到的父母养育行为。三因素结构，特别是墨菲模型和肯德勒模型，更可取。肯德勒模型对数据的拟合最佳，且在本研究的亚组中相对不变。因此，肯德勒模型可能对获得跨不同文化不变的因子结构非常重要。
