Table 23 depicts the means, standard deviations, and correlations with chronological age (usingPearson's r) for each domain for the Atypical Development Sample. Although the means for eachsubscale and domain are not significantly different from those of typically developing children,the correlations between the raw scores and chronological age are much weaker than those fortypically developing children. These results provide evidence that the LAP-D discriminateschildren's skill levels independently of their age, and that it can be used effectively to assess thedevelopmental skills of children with disabilities.Table 23. Domain/Subscale, Means, Standard Deviations, and Correlations of LAP-D for AtypicalDevelopment Sample (n=77)DOMAINS• SubscaleTotal Possible Mean SD rFine Motor 59 39.6 10.5 .76• Manipulation 28 22.1 3.8 .71• Writing 31 17.5 7.2 .73Cognitive 57 32.6 10.3 .75• Matching 24 16.9 4.9 .72• Counting 33 15.7 6.0 .68Language 53 31.4 10.6 .68• Naming 30 15.4 6.2 .64• Comprehension 23 15.9 4.9 .66Gross Motor 57 41.3 10.1 .75• Body Mvt. 34 23.9 7.3 .65• Object Mvt. 23 17.4 3.7 .74Note: All correlations significant at, p
Chapter 7Process for Developing Norming TablesThe present section describes the standardization sample, normative procedures, and LAP-D scores. Normative tables for the LAP-D are presented by six-month age groupings.Characteristics of the standardization sample of 2099 children were presented in Chapter 4.All normative tables are located in the Appendix.Table A-1 in Appendix A may be used to convert percentile ranks to normalized standardscores (z-scores, T -scores, and normal curve equivalents). For English-Speaking children,Tables B-1 to B-15 in Appendix B may be used to convert raw scores on the eight LAP-Dsubscales, four LAP-D domains, and total LAP-D to percentile ranks. One table is providedfor each one of seven age groups for subscales and again for domains. Tables B-16 to B-18provide the LAP-D age equivalent scores for the eight subscales, four domains, and totalLAP-D scores, also for English-Speaking children. For Spanish-speaking children, TablesC-1 to C-15 in Appendix C may be used to convert raw scores on the eight LAP-Dsubscales, four LAP-D domains, and total LAP-D to percentile ranks, and Tables C-16 to C-18 provide the LAP-D age equivalent scores for the eight subscales, four domains, and totalLAP-D scores.Percentile RanksThe percentile rank of a score is the percent of individuals in the standardization samplewho earned scores at or below the score in question. For example, a child who is 55 monthsold and obtains a Fine Motor: Manipulation (FM) raw score of 27 has a percentile rank of86. This indicates that 86% of the children in the standardization sample scored at or below27. Percentile ranks are particularly useful when interpreting scores to parents. Thus, it iseasy for a parent to understand a statement such as, "Your child's score of 27 was higherthan 86% of the children of his/her same age group in the standardization sample on FineMotor: Manipulation."Caution should be used when presenting scores as percentile ranks. Crocker & Algina(1986) note some misinterpretation results from the fact that percentile rank is a nonlineartransformation of the raw scores. As a result, differences between percentile ranks do notindicate equal-interval amounts of difference for the characteristic being measured. Forexample, if the percentile ranks of three children on the FM subscale are 70, 80, and 90,respectively, we can conclude that the third child's score is superior to that of thesecond, and the second child's score is superior to that of the first; but we cannot saythe difference between the first and second child is of the same magnitude as thedifference between the second and third.Users of the percentile rank tables should also be aware when interpreting results thatpercentile ranks are less stable toward the center of the score distribution than they areat the extremes. Therefore, a small difference in raw scores toward the center of thedistribution may translate into a larger percentile rank difference than would the samedifference at either of the extremes.73
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Initial DevelopmentDavid Wilson LeM
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About the AuthorsBelinda J. Hardin
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Interpreting LAP-D Profiles........
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validity, in English and Spanish?
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the LAP-D Third Edition is comprise
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Chapter 2Overview of the LAP-DThis
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egression procedures. This study ex
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Table 1. Subscales of the LAP-DDoma
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LAP-D Scoring Booklet. The Scoring
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ecomes inattentive or severely dist
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--When borrowing a month, borrow 30
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Determining Starting PointsOnce the
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