Conners CK, Sitarenios G, Parker JD, Epstein JN. The revised Conners' Parent Rating Scale (CPRS-R): factor structure, reliability, and criterion validity. J Abnorm Child Psychol 26: 257-268

Duke University Medical Center, Durham, North Carolina 27710, USA.
Journal of Abnormal Child Psychology (Impact Factor: 3.48). 09/1998; 26(4):257-68. DOI: 10.1023/A:1022602400621
Source: PubMed


The Conners' Parent Rating Scale (CPRS) is a popular research and clinical tool for obtaining parental reports of childhood behavior problems. The present study introduces a revised CPRS (CPRS-R) which has norms derived from a large, representative sample of North American children, uses confirmatory factor analysis to develop a definitive factor structure, and has an updated item content to reflect recent knowledge and developments concerning childhood behavior problems. Exploratory and confirmatory factor-analytic results revealed a seven-factor model including the following factors: Cognitive Problems, Oppositional, Hyperactivity-Impulsivity, Anxious-Shy, Perfectionism, Social Problems, and Psychosomatic. The psychometric properties of the revised scale appear adequate as demonstrated by good internal reliability coefficients, high test-retest reliability, and effective discriminatory power. Advantages of the CPRS-R include a corresponding factor structure with the Conners' Teacher Rating Scale-Revised and comprehensive symptom coverage for attention deficit hyperactivity disorder (ADHD) and related disorders. Factor congruence with the original CPRS as well as similarities with other parent rating scales are discussed.

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Available from: James D A Parker, Apr 16, 2014
    • "The CPRS has strong internal reliability with reported coefficient alphas of 0.75–0.94 (Conners et al. 1998). Each item is rated by a parent on a 4-point Likert scale ranging from 0 (not true at all) to 3 (very much true). "
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    ABSTRACT: The current study investigated the link between poor sleep and ADHD symptomatology. The effects of extending versus restricting sleep on subjective (questionnaires) and objective (actigraphy) measures of daytime movement were examined in 25 typically developing children aged 8-12 years. Subjective measures demonstrated an increase in ADHD symptomology following sleep restriction, with follow-up analyses indicating that findings were due to poorer attention, not changes in hyperactivity. The results of actigraphy data indicated that there were no differences found for mean or median daytime activity, but the standard deviation of activity was found to be significantly higher following sleep restriction. Contrary to the popular belief that sleep restriction results in increased overall activity, this study instead found an increase in variability of activity. This suggests that a sleep-restricted child's activity level may appear as alternating periods of high and low activity levels throughout the day.
    ADHD Attention Deficit and Hyperactivity Disorders 07/2015; DOI:10.1007/s12402-015-0180-3
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    • "Rating Scales Parents and teachers were asked to complete the Long Versions of Conners' Parent and Teacher Rating Scales (Conners et al. 1998a, b). From both scales, we used the nine-item inattention and nine-item hyperactivity-impulsivity DSM-IV ADHD symptom subscales. "
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    ABSTRACT: Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorders (ASDs) frequently co-occur. However, due to previous exclusionary diagnostic criteria, little is known about the underlying causes of this covariation. Twin studies assessing ADHD symptoms and autistic-like traits (ALTs) suggest substantial genetic overlap, but have largely failed to take into account the genetic heterogeneity of symptom subscales. This study aimed to clarify the phenotypic and genetic relations between ADHD and ASD by distinguishing between symptom subscales that characterise the two disorders. Moreover, we aimed to investigate whether ADHD-related cognitive impairments show a relationship with ALT symptom subscales; and whether potential shared cognitive impairments underlie the genetic risk shared between the ADHD and ALT symptoms. Multivariate structural equation modelling was conducted on a population-based sample of 1312 twins aged 7-10. Social-communication ALTs correlated moderately with both ADHD symptom domains (phenotypic correlations around 0.30) and showed substantial genetic overlap with both inattention and hyperactivity-impulsivity (genetic correlation = 0.52 and 0.44, respectively). In addition to previously reported associations with ADHD traits, reaction time variability (RTV) showed significant phenotypic (0.18) and genetic (0.32) association with social-communication ALTs. RTV captured a significant proportion (24 %) of the genetic influences shared between inattention and social-communication ALTs. Our findings suggest that social-communication ALTs underlie the previously observed phenotypic and genetic covariation between ALTs and ADHD symptoms. RTV is not specific to ADHD symptoms, but is also associated with social-communication ALTs and can, in part, contribute to an explanation of the co-occurrence of ASD and ADHD.
    Journal of Abnormal Child Psychology 05/2015; DOI:10.1007/s10802-015-0037-4 · 3.09 Impact Factor
    • "These items are the same as the inattention diagnostic criteria for ADHD in the DSM-IV. The CPRS-R:L has good reliability and concurrent validity (Conners et al., 1998), making this scale an appropriate tool for research. Results Demographic Variables Demographic variables were compared between groups using one-way between-participant ANOVAs. "
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    ABSTRACT: The objective of this study was to examine the relationships between sleep and attention in both typically developing (TD) children and children with ADHD. The current study examined sleep and attention in 50 children, from 6 to 12 years of age (25 ADHD, 25 TD). Attention was measured using the Conners' Parent Rating Scale-Revised: Long Version and the Attention Network Test-Interaction (ANT-I), which provided an objective measure of alerting, orienting, and executive attention. Sleep was objectively measured using actigraphy. Children with ADHD had poorer alerting and executive attention on the ANT-I, as well as poorer parent-reported attention. In addition, poor sleep predicted performance on alerting attention for children with ADHD and TD children, whereas the interaction between poor sleep and ADHD diagnosis predicted executive attention scores. The findings of the current study highlight the importance of ensuring children are getting good quality sleep to optimize attention, particularly for children with ADHD. © 2015 SAGE Publications.
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