Clarifying Discrepancies in Responsiveness between Reliable Change Indices

Anton Hinton-Bayre

    Research output: Contribution to journalArticlepeer-review

    22 Citations (Scopus)

    Abstract

    © 2016 The Author. Published by Oxford University Press. All rights reserved.Objective Several reliable change indices (RCIs) exist to evaluate statistically significant individual change with repeated neuropsychological assessment. Yet there is little guidance on model selection and subsequent implications. Using existing test-retest norms, key parameters were systematically evaluated for influence on different RCI models. Method Normative test-retest data for selected Wechsler Memory Scale-IV subtests were chosen based on the direction and magnitude of differential practice (inequality of test and retest variance). The influence of individual relative position compared to the normative mean was systematically manipulated to evaluate for predictable differences in responsiveness for three RCI models. Results With respect to negative change, RCI McSweeny was most responsive when individual baseline scores were below the normative mean, irrespective of differential practice. When an individual score was greater than the normative mean, RCI Chelune was most responsive with lower retest variance, and RCI Maassen most responsive with greater retest variance. This pattern of results can change when test-retest reliability is excellent and there is greater retest variability. Order of responsiveness is reversed if positive change is of interest. Conclusion RCI models tend to agree when the individual approximates the normative mean at baseline and test-retest variability is equal. However, no RCI model will be universally more or less responsive across all conditions, and model selection may influence subsequent interpretation of change. Given the systematic and predictable differences between models, a more rationale choice can now be made. While a consensus on RCI model preference does not exist, we prefer the regression-based model for several reasons outlined.
    Original languageEnglish
    Pages (from-to)754-768
    Number of pages15
    JournalArchives of Clinical Neuropsychology
    Volume31
    Issue number7
    DOIs
    Publication statusPublished - 1 Nov 2016

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