

There is a discussion in the literature of validity studies correlating the DDST with other tests of a similar nature. The record form is laid out in such a way that the user can compare an individual child's performance with the standardised group. Materials include a test kit containing items packed into a convenient small carrying bag, record forms and a manual. Learn more about sample representativeness.The Denver II is used by healthcare providers to assess child development. No Evidence: Insufficient or no evidence was provided on the characteristics of the sample used for the classification accuracy analysis.ġA national sample consists of at least 150 students across at least three of nine geographical divisions defined by U.S. Local without Cross-Validation: At least one classification accuracy analysis was conducted using one state sample or local district samples, without a cross-validation study. Local with Cross-Validation: At least one classification accuracy analysis was conducted using one state sample or local district samples, and at least one cross-validation study was conducted. Regional without Cross-Validation: At least one classification accuracy analysis was conducted using regional samples or two state samples, without a cross-validation study. Regional with Cross-Validation: At least one classification accuracy analysis was conducted using regional samples or two state samples, and at least one cross-validation study was conducted. National without Cross-Validation: At least one classification accuracy analysis was conducted using a national sample 1, without a cross-validation study. National with Cross-Validation: At least one classification accuracy analysis was conducted using a national sample 1, and at least one cross-validation study was conducted. Learn more about classification accuracy. AUC values closer to 1 indicate the screening measure reliably distinguishes among students with satisfactory and unsatisfactory reading performance, whereas values at 0.50 indicate the predictor is no better than chance. ROC curves are a generalization of the set of potential combinations of sensitivity and specificity possible for predictors. Were the classification analyses and cut-points adequately performed?Īrea Under the Curve (AUC) Statistic: an overall indication of the diagnostic accuracy of a Receiver Operating Characteristic (ROC) curve. Was risk adequately defined within an RTI approach to screening (i.e., 10 th - 20 th percentile), and consistent with base rate? Was an appropriate external measure of academic performance used as an outcome?
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Half Bubble: All of Q1-Q3 rated as YES (below) and either (a) the lower bound of the confidence interval around the AUC estimate ≥ 0.70 but < 0.80 or (b) Sensitivity ≥ 0.70 and Specificity ≥ 0.70.Įmpty Bubble: Does not meet full or half bubble. Data for additional criterion measures or administration times may be reported, but will not be rated.įull Bubble: All of Q1 – Q3 (below) rated as YES and the lower bound of the confidence interval around the Area Under the Curve (AUC) estimate ≥ 0.80 and Sensitivity ≥ 0.80 and Specificity ≥ 0.80. Ratings will be provided for up to two different criterion measures and up to three different time points. Note: Classification Accuracy is rated separately for each criterion measure and time of year for the administration (e.g., Fall, Winter, Spring).
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Learn how to incorporate NCII resources into preservice teacher preparation coursework and clinical experiences. Strengthening Intensive Intervention Preparation: A Guide for Faculty.


This resource highlights questions to consider.

