Evidence for the phase transition from Rule I to Rule II on the balance scale task

被引:40
作者
Jansen, BRJ [1 ]
Van der Maas, HLJ [1 ]
机构
[1] Univ Amsterdam, Fac Psychol, Dept Dev Psychol, NL-1018 WB Amsterdam, Netherlands
关键词
balance scale task; discontinuous development; cusp model; proportional reasoning; child development;
D O I
10.1006/drev.2001.0530
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
A central and recurrent theme in developmental psychology is the question whether development proceeds continuously or discontinuously. This question is difficult to answer because the two types of development may be hard to distinguish. To investigate whether change is discontinuous, one requires a formal model for discontinuous development. Such a model should provide operational, empirical criteria to investigate the nature of development. The cusp model, which is derived from catastrophe theory, is a formal model of discontinuity that provides such criteria. Eight criteria, so-called catastrophe flags, can be derived from the model. Some of these flags are predicted in other models of discontinuity, but others, notably hysteresis, are unique to catastrophe theory. In the present research, it is tested whether the transition from Rule I to Rule II on the balance scale task proceeds discontinuously. The present research centers around five catastrophe flags: bimodality, inaccessible region, sudden jump, divergence, and hysteresis. Two experiments are reported. In Experiment 1, a paper-and-pencil version of the balance scale task was administered to 314 children who were 6 to 10 years old. In Experiment 2, an adapted version of the test was administered to 302 children who were 6 to 10 years old. Bimodality, inaccessible region, hysteresis, and sudden jump were clearly observed. Divergence was not observed. The presence of four of the five flags strongly supports the hypothesis that the transition from Rule I to Rule 11 is discontinuous. (C) 2001 Elsevier Science.
引用
收藏
页码:450 / 494
页数:45
相关论文
共 47 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]  
[Anonymous], MATH PSYCHOL PROGR, DOI DOI 10.1007/978-3-642-83943-6
[3]  
AZZELINI A, 1996, STAT INFERENCE BASED
[4]   WORKING MEMORY AND THE DEVELOPMENTAL ANALYSIS OF PROBABILITY JUDGMENT [J].
BRAINERD, CJ .
PSYCHOLOGICAL REVIEW, 1981, 88 (06) :463-502
[6]  
BRAINERD CJ, 1993, MONOGR SOC RES CHILD, V58, P170
[7]   MARKOVIAN INTERPRETATIONS OF CONSERVATION LEARNING [J].
BRAINERD, CJ .
PSYCHOLOGICAL REVIEW, 1979, 86 (03) :181-213
[8]  
CHLETSOS PN, 1986, PAPER AND PENCIL TES
[9]   Fitting multivariage normal finite mixtures subject to structural equation modeling [J].
Dolan, CV ;
Van der Maas, HLJ .
PSYCHOMETRIKA, 1998, 63 (03) :227-253
[10]   A dynamic model of cognitive growth in a population: Spatial tasks and conservation [J].
Eckstein, SG .
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 1999, 43 (01) :34-70