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.