Methodological Considerations to Minimize Total Survey Error in the National Crime Victimization Survey

Similar documents
Evaluating Questionnaire Issues in Mail Surveys of All Adults in a Household

On an average day in , up to 4.4% of state

Revisiting Respondent Fatigue Bias in the National Crime Victimization Survey

Crime & Victimisation Module

Methodological Issues for Longitudinal Studies. Graham Kalton

POSSIBLE IMPROVEMENTS TO THE NATIONAL CRIME VICTIMIZATION SURVEY USING THE AMERICAN COMMUNITY SURVEY

Proxies vs. Self Reports: Data Quality Regarding Potential Duplicate Living Situations

USING THE CENSUS 2000/2001 SUPPLEMENTARY SURVEY AS A SAMPLING FRAME FOR THE NATIONAL EPIDEMIOLOGICAL SURVEY ON ALCOHOL AND RELATED CONDITIONS

Linda R. Murphy and Charles D. Cowan, U.S. Bureau of the Census EFFECTS OF BOUNDING ON TELESCOPING IN THE NATIONAL CRIME SURVEY.

NCVS- KENTUCKY S ISSUES

ORIGINAL ARTICLE. Comparison With the National Crime Victimization Survey

Advisory Commission on the Administration of Justice. Justice Reinvestment Presentation #1 September 12, 2018

Aging and mortality in the state prison population

Methodology for the VoicesDMV Survey

Technical Background on the Redesigned National Crime Victimization Survey October 30, 1994, NCJ

Examples of Responsive Design in the National Survey of Family Growth

Panel Attrition and its Effects on Results from a Longitudinal Study:

RESULTS OF THE DRUG ABUSE MONITORING SURVEY WITHIN CORRECTIONAL FACILITIES IN BERMUDA

The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report:

Anticipatory Survey Design: Reduction of Nonresponse Bias through Bias Prediction Models

Survey of Temporary Assistance For Needy Families (TANF) Recipients

The National Crime Victimization Survey (NCVS) is a major source of crime statistics

Total survey error for longitudinal surveys

Medical Conditions, Mental Health Problems, Disabilities, and Mortality Among Jail Inmates American Jail Association

Modeling Nonresponse Bias Likelihood and Response Propensity

SAQ-Adult Probation III & SAQ-Short Form

Inference and Error in Surveys. Professor Ron Fricker Naval Postgraduate School Monterey, California

Exploratory Spatial Analyses of Sexual Assaults in Anchorage

Combining Probability and Nonprobability Samples to form Efficient Hybrid Estimates

National Findings on Mental Illness and Drug Use by Prisoners and Jail Inmates. Thursday, August 17

A Comparison of Homicide Trends in Local Weed and Seed Sites Relative to Their Host Jurisdictions, 1996 to 2001

DEVELOPING PERFORMANCE METRICS FOR DRUG ENFORCEMENT: EVALUATING THE EFFICACY OF THE MJTF TEAMS USING A TIERED AND PRIORITY SCORING SYSTEM

PDRF About Propensity Weighting emma in Australia Adam Hodgson & Andrey Ponomarev Ipsos Connect Australia

NONRESPONSE ADJUSTMENT IN A LONGITUDINAL SURVEY OF AFRICAN AMERICANS

Introduction. chapter one. James P. Lynch and Lynn A. Addington

Prisoner Reentry Services: What Worked for SVORI Evaluation Participants?

Kentucky SAFE Kit Backlog Research Project Initial Report: Data Collection, Sources, Methods, and Research Questions

Presentation of Results of RJ Research. Dr Heather Strang Institute of Criminology Cambridge University

Outline. Overview of Analytics and Intelligence Bureau. Analysis of Shootings by Combining Social Network Analysis and Spatial Analysis

Co-occurrence of Substance Use Behaviors in Youth

Model-based Small Area Estimation for Cancer Screening and Smoking Related Behaviors

Using Soft Refusal Status in the Cell-Phone Nonresponse Adjustment in the National Immunization Survey

Hospitalizations of females ages 18 and over due to violent injuries

Intimate Partner Violence Tracking Project Phase IV Highlights of Findings Summary Fact Sheet

A Strategy for Handling Missing Data in the Longitudinal Study of Young People in England (LSYPE)

Nonresponse Bias in a Longitudinal Follow-up to a Random- Digit Dial Survey

Evaluation of the Eleventh Judicial District Court San Juan County Juvenile Drug Court: Quasi-Experimental Outcome Study Using Historical Information

Pre-Conception & Pregnancy in Ohio

SURVEY TOPIC INVOLVEMENT AND NONRESPONSE BIAS 1

David V. McQueen. BRFSS Surveillance General Atlanta - Rome 2006

Tim Johnson Survey Research Laboratory University of Illinois at Chicago September 2011

Mapping fear of crime dynamically on everyday transport: SUMMARY (1 of 5) Author: Reka Solymosi, UCL Department of Security & Crime Science

This evaluation was funded by the Centers for Disease Control and Prevention

Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection

Running head: PRELIM KSVS SCALES 1

Section 6.1 Sampling. Population each element (or person) from the set of observations that can be made (entire group)

AP Statistics Exam Review: Strand 2: Sampling and Experimentation Date:

Measuring Trauma. Discussion Brief. Dean G. Kilpatrick, Medical University of South Carolina Frederick Conrad, University of Michigan.

RTI International; 2 Wake Forest University School of Medicine; 3

Using NVDRS in Oregon

Reoffending Analysis for Restorative Justice Cases : Summary Results

Nonresponse Adjustment Methodology for NHIS-Medicare Linked Data

BAYESIAN MODELS TO ADJUST FOR RESPONSE BIAS IN SURVEY DATA FOR ESTIMATING RAPE AND DOMESTIC VIOLENCE RATES FROM THE NCVS 1

Detailed Contents. 1 Science, Society, and Criminological Research 1. About the Authors xvii Preface xix

Section 6.1 Sampling. Population each element (or person) from the set of observations that can be made (entire group)

THE EFFECTS OF SELF AND PROXY RESPONSE STATUS ON THE REPORTING OF RACE AND ETHNICITY l

HIV in Prisons, 2005

2017 Youth Tobacco Survey Methodology Report. Prepared: March 2018

Kimberly A. Lonsway, PhD and Sergeant Joanne Archambault (Ret.) with contributions by Alison Jones-Lockwood. August 2006, Last updated July 2017

New Data: WA State Firearm Ownership and Storage Practices. November 13 th, 2018 WA Firearm Tragedy Prevention Network Meeting

Attitudes about Opioids among North Carolina Voters

Do Serial Sex Offenders Maintain a Consistent Modus Operandi?: Findings from Previously Unsubmitted Sexual Assault Kits

Testimony of John K. Roman Justice Policy Center Urban Institute

Pathways to Crime. Female Offender Experiences of Victimization. JRSA/BJS National Conference, Portland Maine, 10/28/10

Survey Errors and Survey Costs

Co-occurring Mental Health and Substance Abuse Disorders among Juvenile Detainees in Maricopa County

Specialized Training: Investigating Sexual Abuse in Correctional Settings Notification of Curriculum Utilization December 2013

INCREASING REPRESENTATION IN A MIXED-MODE QUALITY OF LIFE SURVEY OF MEDICARE ESRD BENEFICIARIES

Crime and Criminal Justice Statistics Q Quarterly National Household Survey. 1 of 25

Adult Drug Courts All Rise

Poll of New York State Voters in Target State Senate Districts!

1. The Role of Sample Survey Design

FoodAPS: Innovations and challenges in surveying the SNAP population

AnExaminationoftheQualityand UtilityofInterviewerEstimatesof HouseholdCharacteristicsinthe NationalSurveyofFamilyGrowth. BradyWest

Kansas Bureau of Investigation

Weight Adjustment Methods using Multilevel Propensity Models and Random Forests

Unit 2: Inmates Rights to be Free from Sexual Abuse and Sexual Harassment and Staff and Inmates Rights to be Free from Retaliation for Reporting

Los Angeles Strategic Extraction and Restoration L.A.S.E.R.

CRIMINAL JUSTICE (CRIMLJUS)

Twelve-Year Study Update for a Postmarketing Case Series Study of Adult Osteosarcoma and Teriparatide in the US

NEW JERSEY: LEGAL WEED SEEN AS ECONOMIC BOON

Gunshot Detection Alerts: Sensitivity and Response Times Compared to Calls for Service

Gary Kleck College of Criminology and Criminal Justice Florida State University Tallahassee, FL

The Challenges of Prompting Memory Recall across a Very Long Reference Period: A New Life Event Calendar

NEW JERSEY: SUPPORT FOR LEGAL WEED STAYS HIGH

Epidemiology of Asthma. In the Western Michigan Counties of. Kent, Montcalm, Muskegon, Newaygo, and Ottawa

Domestic Violence Inventory: Annual Summary Report

1. What we learned from the problem analysis note that these findings are preliminary and a final report is yet to be completed.

Does Voice Matter for Youth Reports of Tobacco Use? An Interactive Voice Response Experiment

Transcription:

Methodological Considerations to Minimize Total Survey Error in the National Crime Victimization Survey Andrew Moore, M.Stat., RTI International Marcus Berzofsky, Dr.P.H., RTI International Lynn Langton, Ph.D., BJS Mike Planty, Ph.D. BJS 1 RTI International is a trade name of Research Triangle Institute. www.rti.org

Outline Overview of the National Crime Victimization Survey (NCVS) Response Bias and Measurement Error Respondent Telescoping Respondent Fatigue Mode Effects Measurement Error and Non-response Bias Interviewing Juveniles 2

National Crime Victimization Survey Nationally Representative Multi-Stage Household Survey Conducted by U.S. Census Bureau for the Bureau of Justice Statistics (BJS) Goal: Collect detailed information about the victims and consequences of crime Allows estimation of annual counts and rates of personal and household criminal victimization Permits comparisons of victimization over time and geographic and demographic characteristics 3

NCVS: Design Rotating Panel Survey Samples of ~50,000 housing units, comprising ~80,000 persons, are fielded every six months with data being collected continuously since 1973 Households interviewed at 6 month intervals over a three year period for a total of 7 interviews First interview conducted in person via CAPI whenever possible Subsequent interviews administered by telephone whenever possible All residents in a selected household age 12 or older are interviewed each wave Replacement Households: Survey maintains contact with the address that was originally sampled, not necessarily the individuals. 4

NCVS: Instruments Control Card Used to obtain basic household data Basic Screener Questionnaire Administered to all respondents in the household Asks about the potential types of crimes respondents may have experienced during the prior 6 months One person chosen to serve as the household respondent Incident Report Administered to those indicating a crime during the screener Obtains detailed information about each incident Location of incident (home, school, public locale) Characteristics of offender (number of offenders, age, race, gender, etc.) Characteristics of incident (presence of weapons, injuries, police involvement) 5

Response Bias and Measurement Error Respondent Telescoping Respondent Fatigue Changes in Mode 6

Respondent Telescoping Criminal victimization can be highly subject to recall errors, including when the victimization occurred 6-month reference period Panel Design: previous interview provides the bounding for the following interview The bounding interview provides information to interviewer that helps them determine whether or not respondent is telescoping a crime No bounding for the first interview 7

Bounding Interviews Prior to 2006, the first interview served only as a bounding interview and was excluded from estimates and the annual data release in an effort to control for respondent telescoping Beginning in 2006, households that were new to the sample began having their first interview included Helps maintain precision while controlling costs Result: Number of victimizations reported in first interview is significantly higher than the number reported in subsequent interviews 8

Violent Victimization Rate per 1,000 Persons by Interview Number Interview Number 1 2 3 4 5 6 7 Total Rate 48.7 23.4 16.1 13.3 11.9 9.6 9.8 25.7 9

Bounding Factor Adjustment 10

Current Bounding Factors: Person-Level 11

Effect of Bounding Factors on Victimization Rates Year Violent Victimization Rate, TIS=1 Unadjusted Rate Adjusted Rate % Change 2007 34.4 23.3-32.3% 2008 33.1 20.4-38.4% 2009 27.7 17.1-38.3% 2010 28.7 16.5-42.5% 2011 32.1 16.8-47.7% 2012 35.3 20.7-41.4% 12

Bounding Adjustment: Confounding Issues Interviews in TIS=2 7 may be unbounded (~15-20% per wave) Nonresponse in previous wave Replacement households New eligible person in household Mode effect (Couzens, Krebs, & Berzofsky, 2014) First interview typically uses a different mode than subsequent interviews Respondent fatigue Significant attrition across the seven interviews Detailed crime type More serious crimes likely to be telescoped more 13

Bounding Factors: Bounded vs. Unbounded 14

Bounding Adjustment: TSE Framework Create an adjustment factor for each of the three sources of non-sampling survey error Recall Bias (Telescoping) Respondent Fatigue Mode of Interview 15

Alternative Approaches: Recall Bias Adjustment Approaches Overall Ratio (current method) Class Adjusted Ratio Model Adjusted Ratio TIS Factor Current approach uses TIS 2-7 as the control Restrict control group to interviews in TIS 2-4 or TIS=2 Limits the influence of fatigue and attrition on the adjustment factor Base adjustment on whether or not the interview was bounded or unbounded, regardless of the TIS TIS 1-7 vs. TIS 1-4 Time Period 12, 24, or 36 months of previous interviews 16

Alternative Approaches: Respondent Fatigue Model-based approach (Poisson) Separate adjustments for person crimes and household crimes Separate adjustments for each combination of independent variables in the model Based on the actual interview number rather than the TIS number Dependent Variable: number of victimizations reported 17

Alternative Approaches: Interview Mode The mode effect is highly intertwined with the telescoping effect and to a lesser extent the fatigue effect For the majority of cases, the interview mode changes from the first (in-person) to the second (telephone) interview All first interviews are unbounded and the majority of subsequent interviews are bounded The largest decrease in the number of reported incidents occurs between the first and second interviews Telescoping in the first interview Mode change from the first to the second interview Fatigue from the first to the second interview Once telescoping and fatigue are taken into account is there still evidence of a mode effect? 18

Alternative Adjustment: TSE Framework 19

Measurement Error and Non-Response Bias Assessment of Juvenile Data Non-Response Bias Response rates are typically lower and declining for 12 to 17 year olds compared to other age groups Parental Refusal Inability to Contact Measurement Error Accuracy issues related to privacy and the sensitive nature of some questions Concern about responses being shared with parents Proxy interviews Respondent may be the offender Victims may not share information with the proxy respondent 20

Interview Characteristics, 2007 2012 Interview Characteristic 12-17 18 + Sample Size Percentage Sample Size Percentage Proxy 8,172 11.8** 24,393 3.0 Interview a In-Person 29,276 42.1 334,712 41.7 Interview a Presence of Others During Interview b 22,776 77.8** 176,936 52.9 Nonresponse c 26,917 27.9** 102,988 11.4 ** Comparison statistically significant at 95% level of confidence a Among respondents b Among in-person respondents c Among all eligible persons 21

Simple Assault Rate by Interview Characteristics, 2007-20012 Interview Characteristic 12-17 18+ Proxy Interview Interview Mode Number of Victimizations b Rate b Number of Victimizations b Yes 84,000 29.1 ** 45,200 6.1 No 722,100 32.9 ** 3,252,300 14.6 ++ In-Person 384,600 36.5 ** 1,745,400 17.9 Telephone 421,600 29.5 **++ 1,552,100 11.7 ++ Presence Yes 268,900 32.9 ** 728,200 13.9 of Others a No 115,700 49.2 **++ 1,017,200 22.4 ++ a Among In-Person Respondents b Annual Average ** Comparison between age groups statistically significant at 95% level of confidence ++ Comparison within age group statistically significant at 95% level of confidence Rate b 22

Average Screen Time by Interview Wave, 2007-2012 Interview Wave a Number 12-17 18+ Average Time b Number Average Time b 1 22,426 92.6 206,867 140.0** 2 15,855 88.7 161,780 128.5** 3 12,333 87.1 141,942 125.1** 4 8,254 85.5 107,322 124.0** 5 5,218 85.0 81,509 121.3** 6 3,180 84.4 61,892 123.0** 7 1,635 83.0 40,913 120.2** a Based on when household first interviewed b Time in seconds ** Comparison statistically significant at 95% confidence level 23

Interviewing Juveniles: Summary Respondents aged 12-17 are nearly 4 times as likely to have a proxy respondent as those over 18 Proxy respondents report fewer victimizations than self-respondents Respondents aged 12-17 are more likely to have others present during their interviews Both age groups report fewer victimizations when others present Persons aged 12-17 are nearly 2.5 times as likely to be nonrespondents as those over 18 When interviewed in-person, respondents in both age groups report higher rates of victimization Despite higher rates of victimization, respondents aged 12-17 spend less time on the screener than those over 18 24

Interviewing Juveniles: Summary Can data collection protocols for 12-17 year olds be improved to reduce non-response bias and measurement error? Can the lessons learned from 12-17 year olds be extended and applied to younger respondents to reduce coverage error? 25

References Couzens, G., Krebs, C., Berzofsky, M. (2014). Analyzing Potential Mode and Respondent Fatigue Effects in the National Crime Victimization Survey. Joint Statistical Meetings, Boston, MA. 26

Disclaimer The views expressed in this presentation are those of the author and do not represent the opinions of RTI or BJS. 27

More Information Andrew Moore Research Statistician 919.541.7063 amoore@rti.org Marcus Berzofsky Senior Research Statistician 919.316.3752 berzofsky@rti.org 28