James P. Scanlan, Attorney at Law

Home Page

Curriculum Vitae

Publications

Published Articles

Conference Presentations

Working Papers

page1

Journal Comments

Truth in Justice Articles

Measurement Letters

Measuring Health Disp

Outline and Guide to MHD

Summary to MHD

Solutions

page3

Solutions Database

Irreducible Minimums

Pay for Performance

Between Group Variance

Concentration Index

Gini Coefficient

Reporting Heterogeneity

Cohort Considerations

Relative v Absolute Diff

Whitehall Studies

AHRQ's Vanderbilt Report

NHDR Measurement

NHDR Technical Issues

MHD A Articles

MHD B Conf Presentations

MHD D Journal Comments

Consensus/Non-Consensus

Spurious Contradictions

Institutional Corresp

page2

Scanlan's Rule

Outline and Guide to SR

Summary to SR

Bibliography

Semantic Issues

Employment Tests

Case Study

Case Study Answers

Case Study II

Subgroup Effects

Subgroup Effects NC

Illogical Premises

Illogical Premises II

Inevitable Interaction

Interactions by Age

Literacy Illustration

RERI

Feminization of Poverty S

Explanatory Theories

Mortality and Survival

Truncation Issues

Collected Illustrations

Income Illustrations

Framingham Illustrations

Life Table Illustrations

NHANES Illustrations

Mort/Surv Illustration

Credit Score Illustration

Intermediate Outcomes

Representational Disp

Statistical Signif SR

Comparing Averages

Meta-Analysis

Case Control Studies

Criminal Record Effects

Sears Case Illustration

Numeracy Illustration

Obesity Illusration

LIHTC Approval Disparitie

Recidivism Illustration

Consensus

Algorithm Fairness

Mortality and Survival 2

Mort/Survival Update

Measures of Association

Immunization Disparities

Race Health Initiative

Educational Disparities

Disparities by Subject

CUNY ISLG Eq Indicators

Harvard CRP NCLB Study

New York Proficiency Disp

Education Trust GC Study

Education Trust HA Study

AE Casey Profic Study

McKinsey Achiev Gap Study

California RICA

Nuclear Deterrence

Employment Discrimination

Job Segregation

Measuring Hiring Discr

Disparate Impact

Four-Fifths Rule

Less Discr Alt - Proc

Less Discr Altl - Subs

Fisher v. Transco Serv

Jones v. City of Boston

Bottom Line Issue

Lending Disparities

Inc & Cred Score Example

Disparities - High Income

Underadjustment Issues

Absolute Differences - L

Lathern v. NationsBank

US v. Countrywide

US v. Wells Fargo

Partial Picture Issues

Foreclosure Disparities

File Comparison Issues

FHA/VA Steering Study

CAP TARP Study

Disparities by Sector

Holder/Perez Letter

Federal Reserve Letter

Discipline Disparities

COPAA v. DeVos

Kerri K. V. California

Truancy Illustration

Disparate Treatment

Relative Absolute Diff

Offense Type Issues

Los Angeles SWPBS

Oakland Disparities

Richmond Disparities

Nashville Disparities

California Disparities

Denver Disparities

Colorado Disparities

Nor Carolina Disparitie

Aurora Disparities

Allegheny County Disp

Evansville Disparities

Maryland Disparities

St. Paul Disparities

Seattle Disparities

Minneapolis Disparities

Oregon Disparities

Beaverton Disparities

Montgomery County Disp

Henrico County Disparitie

Florida Disparities

Connecticut Disparities

Portland Disparities

Minnesota Disparities

Massachusetts Disparities

Rhode Island Disparities

South Bend Disparities

Utah Disparities

Loudoun Cty Disparities

Kern County Disparities

Milwaukee Disparities

Urbana Disparities

Illinois Disparities

Virginia Disparities

Behavior

Suburban Disparities

Preschool Disparities

Restraint Disparities

Disabilities - PL 108-446

Keep Kids in School Act

Gender Disparities

Ferguson Arrest Disp

NEPC Colorado Study

NEPC National Study

California Prison Pop

APA Zero Tolerance Study

Flawed Inferences - Disc

Oakland Agreement

DOE Equity Report

IDEA Data Center Guide

Duncan/Ali Letter

Crim Justice Disparities

U.S. Customs Search Disp

Deescalation Training

Career Criminal Study

Implicit Bias Training

Drawing Inferences

Diversion Programs

Minneapolis PD Investig

Offense Type Issues CJD

Innumerate Decree Monitor

Massachusetts CJ Disparit

Feminization of Poverty

Affirmative Action

Affirm Action for Women

Other Affirm Action

Justice John Paul Stevens

Statistical Reasoning

The Sears Case

Sears Case Documents

The AT&T Consent Decree

Cross v. ASPI

Vignettes

Times Higher Issues

Gender Diff in DADT Term

Adjustment Issues

Percentage Points

Odds Ratios

Statistical Signif Vig

Journalists & Statistics

Multiplication Definition

Prosecutorial Misconduct

Outline and Guide

Misconduct Summary

B1 Agent Cain Testimony

B1a Bev Wilsh Diversion

B2 Bk Entry re Cain Call

B3 John Mitchell Count

B3a Obscuring Msg Slips

B3b Missing Barksdale Int

B4 Park Towers

B5 Dean 1997 Motion

B6 Demery Testimony

B7 Sankin Receipts

B7a Sankin HBS App

B8 DOJ Complicity

B9 Doc Manager Complaints

B9a Fabricated Gov Exh 25

B11a DC Bar Complaint

Letters (Misconduct)

Links Page

Misconduct Profiles

Arlin M. Adams

Jo Ann Harris

Bruce C. Swartz

Swartz Addendum 2

Swartz Addendum 3

Swartz Addendum 4

Swartz Addendum 7

Robert E. O'Neill

O'Neill Addendum 7

Paula A. Sweeney

Robert J. Meyer

Lantos Hearings

Password Protected

OIC Doc Manager Material

DC Bar Materials

Temp Confidential

DV Issues

Indexes

Document Storage

Pre 1989

1989 - present

Presentations

Prosec Misc Docs

Prosec Misc Docs II

Profile PDFs

Misc Letters July 2008 on

Large Prosec Misc Docs

HUD Documents

Transcripts

Miscellaneous Documents

Unpublished Papers

Letters re MHD

Tables

MHD Comments

Figures

ASPI Documents

Web Page PDFs

Sears Documents

Pages Transfer


California Disparities

(Mar. 29, 2014; revised Apr. 26, 2015)

This subpage is related to the Los Angeles SWPBS, Denver Disparities, Florida Disparities, Maryland Disparities, Connecticut Disparities,  Maryland Disparities , Minnesota Disparities,  Rhode Island Disparities, St. Paul Disparities, Minneapolis Disparities, Beaverton (OR) Disparities, Portland (OR) Disparities, Montgomery County (MD) Disparities, and Henrico County (VA) Disparities,

and DOE Equity Report subpages of the Discipline Disparities page.  All but the last subpage address reports indicating that when discipline rates in public schools the referenced jurisdiction reduced, relative differences in suspensions increased.  The last subpage addresses a Department of Education study showing that relative differences in expulsions are smaller in districts with zero tolerance policies than in districts without zero tolerance policies. 

Articles explaining why, contrary to the near universal belief that generally reducing discipline rates, will tend to increase relative differences in discipline, generally reducing discipline rates will tend to increase relative differences in discipline rates include “Race and Mortality Revisited,” Society (July/Aug. 2014), “Things government doesn’t know about racial disparities,” The Hill (Jan. 28, 2014), “The Paradox of Lowering Standards,” Baltimore Sun (Aug. 5, 2013), “Misunderstanding of Statistics Leads to Misguided Law Enforcement Policies, ” Amstat News  (Dec. 2012).  Letters of March 20, 2015, and April 1, 2013, attempting to explain this to the Senate Committee on Health, Education, Labor and Pensions may be found here and here. 

 

***

On January 29, 2014, the California Department of Education issued a press released titled “State Schools Chief Tom Torlakson Reports California See Significant Drops in School Suspensions and Expulsion” noted reductions in suspensions of public school students in almost every ethnic group.  The announcement stated that 2012-13 school year data showed that suspensions were down from the year before by 9.5 percent for African Americans, 10.2 percent for Hispanics, and 10.8 percent for whites.  But it also noted that racial/ethnic disparities still existed, citing data indicating that African Americans and Hispanics were suspended 6.5 times and 2.6 times as often as whites, and that African Americans were suspended 2.5 times as often as Hispanics.

 

The report did not discuss implications of the comparative sizes of the reductions.  But, allowing that changes in numbers of students enrolled may affect things somewhat, the comparative sizes of the reductions typically would mean that the disproportionality between whites and both minority groups had increased from the prior year, as had the disproportionality between Hispanics and African Americans.

Material added April 14, 2015:

On January 14, 2015, the California Department of Education issued another press released titled “State Schools Chief Tom Torlakson Reports significant Drop in Suspensions and Expulsions for Second Year in a Row.”  This press release reported that in the 2013-14, the numbers of suspensions were down from the prior year by 14.1 percent for African-Americans, 15.2 percent for Hispanics, and 16.6 percent for whites. 

The above observation that “changes in numbers of students enrolled may affect things somewhat” is of some pertinence to Hispanics, since Hispanic enrollment has been increasing in recent years while the African American and white enrollments have been decreasing.  The table below shows the actual percentage reductions in out-of-school suspension rates (rather than numbers of suspensions) for each group from the 2011-12 school year to the 2013-14 school year.  (The table is based on data made available on the California Department of Education website that show somewhat different figures from those in the press release.)  While the African American rate showed the least percentage reduction, the Hispanic rate showed a larger percentage reduction than the white rate.  Thus, relative difference between African American rates and white rates and between African American and Hispanic rates increased, while the relative difference between the Hispanic rate and the white rate decreased.   The final column, presents information on the change in terms of the estimated effect size, using the measure as I did in Table 7 of “Race and Mortality Revisited,” Society (July/Aug. 2014) an on the Subgroup Effects subpage of the Scanlan’s Rule page of jpscanlan.com.  These show that, to the extent that changes can be effectively measured, the African American and Hispanic rates changed more than the white rates. 

Table 1.  Out-of-school suspension rates for African American, Hispanic and white students in California schools for the 2011-12 and 2013-14 school years, with percentage reductions and EES (for estimated effect size)

 

Race

2011-12Rt

2013-14Rt

PercRed

EES

African American, Not Hispanic

26.23%

20.13%

23.25%

0.20

Hispanic or Latino of Any Race

8.78%

6.21%

29.25%

0.19

White, Not Hispanic

6.61%

5.01%

24.18%

0.13

 

The reader should be mindful that the EES figures are for the changes experiencing by each group, not the changes in the disparity between each group.  Thus, for example, the EES for the black-white differences was .87 in 2011-12 and .81 in 2013-14.

Ideally, at some point I will refine the above analysis to include in-school suspensions and expulsions.  Out-of-school suspensions is an intermediate outcome for which the EES approach (or any other measurement approach) is problematic.  That is, one can effectively analyze rates of experiencing in-school suspension or worse, out-of-school suspension or worse, or expulsion but one cannot effectively analyze either in-school suspensions or out-of-school suspensions by themselves (just as one can analyzes differences in rates of receiving grades C or below, D or below, and F, but not rates of receiving grades of C, grades of D,  or grades of C or D.  See discussion of this issue on the Discipline Disparities page and its Connecticut Disparities subpage.  But the expulsion category has few enough events that the analysis in Table 1 would not be materially affected.