Understanding and Improving the Validity of Self-Report of Parenting

Although researchers using parental self-report data have questioned its validity (Holden, 2001) and called for more work in this area (Krevans & Gibbs, 1996; Locke & Prinz, 2002), methodological concerns regarding self-report about parenting practices have not been addressed adequately. The susceptibility of parental report to systematic distortions suggests a need for research on ways to improve self-report. This paper attempts to synthesize research findings from other fields (e.g., survey methodology) about ways to improve the validity of self-report, and to discuss the implications for self-report of parenting behaviors. Methods for improving self-report are presented for each of the 5 major tasks in responding to a question: (1) understanding the question, (2) recalling relevant behavior, (3) inference and estimation, (4) mapping the answer onto the response format, and (5) “editing” the answer for reasons of social desirability. Self-administered interviewing, audio-computer-assisted interviewing, pretesting, conversational interviewing, and the decompositional item may be among the best candidates for use in parental self-report. Recommendations are offered with respect to strategies that might prove useful in improving parental assessment of parenting, and to research efforts to evaluate the utility and potential costs of these strategies.     

Additional factorial evidence of construct validity for the Visual Similes Test II with scores from a sample of African-American children

The Visual Similes Test II was designed to measure the construct of arousal. This study investigated its factor structure with scores from a sample of 154 African-American elementary school children (7 to 10 years). The initial factor structure was examined using principal axis factor analysis with the promax rotation. Confirmatory factor analysis was then used to evaluate the model-fit of the data with the hypothesized hierarchical model. Results provided support for the two-factor structure in the principal axis factor analysis and the model-fit of the hypothesized model in the confirmatory factor analysis.     

Transformations of mathematical and stimulus functions

Following a pretest, 8 participants who were unfamiliar with algebraic and trigonometric functions received a brief presentation on the rectangular coordinate system. Next, they participated in a computer-interactive matching-to-sample procedure that trained formula-to-formula and formula-to-graph relations. Then, they were exposed to 40 novel formula-to-graph tests and 10 novel graph-to-formula tests. Seven of the 8 participants showed substantial improvement in identifying formula-to-graph relations; however, in the test of novel graph-to-formula relations, participants tended to select equations in their factored form. Next, we manipulated contextual cues in the form of rules regarding mathematical preferences. First, we informed participants that standard forms of equations were preferred over factored forms. In a subsequent test of 10 additional novel graph-to-formula relations, participants shifted their selections to favor equations in their standard form. This preference reversed during 10 more tests when financial reward was made contingent on correct identification of formulas in factored form. Formula preferences and transformation of novel mathematical and stimulus functions are discussed.     

Exploratory and confirmatory factor analyses of the pervasive developmental disorders rating scale for young children with autistic disorder

In this study, the authors examined the construct validity of the Pervasive Developmental Disorder Rating Scale (PDDRS; R. C. Eaves, 1993), which is a screening instrument used to identify individuals with autistic disorder and other pervasive developmental disorders. The PDDRS is purported to measure 3 factors--arousal, affect, and cognition-that collectively make up the construct of autism. Using scores from 199 children (aged 1-6 years) diagnosed with autistic disorder, the authors submitted data to exploratory and confirmatory factor analyses. In the 1st series of analyses, the authors analyzed a user-specified 3-factor solution using principal axis factor analysis with a promax rotation to evaluate the assertion of a correlated 3-factor structure. Next, the authors analyzed 1-factor and 2-factor solutions to determine if they provided a better factor structure for the data. In the 2nd series, the authors conducted confirmatory factor analyses, which compared the theorized hierarchical 2nd-order factor model with 5 plausible competing models. The results of the exploratory analyses supported the 3-factor solution. With the confirmatory analyses, the 2nd-order factor model provided the best fit for the data. The exploratory and confirmatory analyses supported the theoretical assumptions undergirding the development of the PDDRS. The authors discuss theoretical implications, practical implications, and areas for further research.     

MMPI--2 Code-Type Congruence of Injured Workers

In this study, the authors examined the stability of Minnesota Multiphasic Personality Inventory--2 (J. N. Butcher, W. G. Dahlstrom, J. R. Graham, A. Tellegen, & B. Kaemmer, 1989) code types in a sample of 94 injured workers with a mean test-retest interval of 21.3 months (SD = 14.1). Congruence rates for undefined code types were 34% for high-point codes, 22% for 2-point codes, and 22% for 3-point codes. The data provide tentative evidence suggesting that defined code types are more stable than undefined code types. Cohen's kappa, a statistic that controls for chance agreement, was calculated for each clinical scale for both 2-point and 3-point code types. Only 2 of the 20 kappa coefficients were not significant at the p = .05 level.