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A simulation study of the effects of sample size on the overall fit statistic provided by the LISREL program indicates the statistic is well behaved over a wide range of sample sizes for simple models. However, this statistic is apparently not chi square distributed for more complex models when samples are relatively small, and will reject the hypothesized model too often. A set of additional measures suggested by various researchers for evaluating causal models also is examined. These statistics are well behaved for both models tested as they converge to the true value and their variance approaches zero as sample size increases.

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Data obtained from 375 members of a consumer panel in a two-phase study of consumer experiences with automobile repairs and services were used to examine the antecedents and consequences of consumer satisfaction. The results support previous findings that expectations and disconfirmation are plausible determinants of satisfaction, and suggest that complaint activity may be included in satisfaction/dissatisfaction research as suggested by earlier descriptions of consumer complaining behavior.