The Nomogram: A Decision-Making Tool for Practitioners Using Multitiered Systems of Support

被引:13
作者
Pendergast, Laura L. [1 ,2 ]
Youngstrom, Eric A. [3 ,4 ]
Ruan-Iu, Linda [1 ]
Beysolow, Danielle [1 ]
机构
[1] Temple Univ, Sch Psychol, Philadelphia, PA 19122 USA
[2] Temple Univ, Ctr Assessment & Evaluat, Philadelphia, PA 19122 USA
[3] Univ N Carolina, Psychol & Neurosci, Chapel Hill, NC 27515 USA
[4] Univ N Carolina, Psychiat, Chapel Hill, NC 27515 USA
关键词
nomogram; evidence-based assessment; screening; MTSS; RTI; CURRICULUM-BASED MEASUREMENT; PEDIATRIC BIPOLAR DISORDER; DIAGNOSTIC EFFICIENCY; INTERVENTION; MODEL; RISK; GUIDE; BASE; ADHD; IDENTIFICATION;
D O I
10.17105/SPR-2017-0097.V47-4
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Although schools administer many assessments, there is a lack of consensus regarding the best way to combine different pieces of information to facilitate evidence-based decision-making, particularly within multitiered systems of support. Although largely unheard of in education, the nomogram is an evidence-based assessment tool that is widely used in other fields and allows users to incorporate data about multiple sources of risk to estimate the probability of an outcome. This article (a) provides a primer and conceptual overview of the nomogram, (b) provides a tutorial and the materials needed to use the nomogram for evidence-based assessment, (c) describes analyses to compare the decision-making accuracy of the nomogram with that of other methods using a large sample of data (N = 1,461) from an urban school district, and (d) illustrates use of the nomogram with a hypothetical case.
引用
收藏
页码:345 / 359
页数:15
相关论文
共 78 条
  • [1] The meta-analysis of clinical judgment project:: Fifty-six years of accumulated research on clinical versus statistical prediction
    AEgisdottir, S
    White, MJ
    Spengler, PM
    Maugherman, AS
    Anderson, LA
    Cook, RS
    Nichols, CN
    Lampropoulos, GK
    Walker, BS
    Cohen, G
    Rush, JD
    [J]. COUNSELING PSYCHOLOGIST, 2006, 34 (03) : 341 - 382
  • [2] Diagnostic efficiency of the SDQ for parents to identify ADHD in the UK: a ROC analysis
    Algorta, Guillermo Perez
    Dodd, Alyson Lamont
    Stringaris, Argyris
    Youngstrom, Eric A.
    [J]. EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2016, 25 (09) : 949 - 957
  • [3] American Educational Research Association American Psychological Association and the National Council on Measurement in Education, 2014, STAND ED PSYCH TEST
  • [4] Baumer BS., 2017, Modern data science with R
  • [5] Reliability of Decision-Making Frameworks for Response to Intervention for Reading
    Burns, Matthew K.
    Scholin, Sarah E.
    Kosciolek, Stacey
    Livingston, Judy
    [J]. JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT, 2010, 28 (02) : 102 - 114
  • [6] Curriculum-Based Measurement of Math Computation
    Christ, Theodore J.
    Scullin, Sarah
    Tolbize, Anick
    Jiban, Cynthia L.
    [J]. ASSESSMENT FOR EFFECTIVE INTERVENTION, 2008, 33 (04) : 198 - 205
  • [7] Clemens N., 2016, HDB RESPONSE INTERVE, VSecond, P187, DOI DOI 10.1007/978-1-4899-7568-3_12
  • [8] Constructing a Roadmap for Future Universal Screening Research Beyond Academics
    Cook, Clayton R.
    Volpe, Robert J.
    Livanis, Andrew
    [J]. ASSESSMENT FOR EFFECTIVE INTERVENTION, 2010, 35 (04) : 197 - 205
  • [9] The importance of cognitive errors in diagnosis and strategies to minimize them
    Croskerry, P
    [J]. ACADEMIC MEDICINE, 2003, 78 (08) : 775 - 780
  • [10] CLINICAL VERSUS ACTUARIAL JUDGMENT
    DAWES, RM
    FAUST, D
    MEEHL, PE
    [J]. SCIENCE, 1989, 243 (4899) : 1668 - 1674