Mathematica Policy Research Survey/Data RSS Feedhttp://www.mathematica-mpr.com/For more than 35 years, Mathematica Policy Research, Inc., has been known for its high quality, objective research to support decisions about our nation's most pressing social policy problems.enMathematica Policy Research. All rights reserved. 2014https://mathematica.org/-/media/internet/logo.png?h=68&w=208Mathematica Policy Research Survey/Data RSS Feedhttp://www.mathematica-mpr.com/60{6A543162-8920-4938-B629-FFCB8D5D738A}https://www.mathematica.org/en/publications/multisite-causal-mediation-analysis-in-the-presence-of-complex-sample-and-survey-designs-and-nonMultisite Causal Mediation Analysis in the Presence of Complex Sample and Survey Designs and Non‐Random Non‐ResponseThis study provides a template for multisite causal mediation analysis using a comprehensive weighting‐based analytic procedure that enhances external and internal validity. Tue, 01 Oct 2019 12:16:00 Z{404C1299-87C4-45C0-A6E5-1D86F3AB9A70}https://www.mathematica.org/en/news/insight-into-the-landscape-of-professional-development-in-head-start-from-faces-2014Insight into the Landscape of Professional Development in Head Start from FACES 2014A new research brief illuminates the landscape of professional development in Head Start programs. Using data from the spring 2017 round of the FACES 2014 Survey, researchers explore professional development experiences of Head Start program directors, center directors, teachers, and other staff.Mon, 05 Aug 2019 04:00:00 Z{D0B9CEEC-DFEA-421B-8201-0F6177B6DC8F}https://www.mathematica.org/en/publications/measuring-up-learning-about-improving-equity-from-australias-early-childhoodMeasuring Up: Learning About Improving Equity from Australia’s Early Childhood Development CensusThis brief describes how findings from population-based research data, such as Australia's Early Development Census (AEDC), can fill gaps in our understanding about vulnerable populations and identify community strengths to help support children's development.Mon, 11 Feb 2019 19:12:00 Z{90E98A20-7900-4512-B11D-CF9CA35A9AAF}https://www.mathematica.org/en/publications/the-role-of-promise-in-the-landscape-of-federal-programs-targeting-youth-with-disabilitiesPromoting Readiness of Minors in Supplemental Security Income (PROMISE): The Role of PROMISE in the Landscape of Federal Programs Targeting Youth with DisabilitiesIn this report, we use information collected as part of the national evaluation of Promoting Readiness of Minors in Supplemental Security Income (PROMISE) to assess the role of PROMISE in the landscape of federal programs targeting youth with disabilities.Fri, 07 Dec 2018 14:03:00 Z{506105D0-9BD1-424B-B288-CB9AB393A94C}https://www.mathematica.org/en/publications/a-year-in-region-xi-head-start-childrens-growth-and-development-from-the-american-indian-and-alaskaA Year in Region XI Head Start: Children's Growth and Development from the American Indian and Alaska Native Family and Child Experiences Survey 2015 (AIAN FACES 2015)This research brief describes the developmental progress of Region XI Head Start children as they complete a program year (from fall 2015 to spring 2016), using recent data from the American Indian and Alaska Native Head Start Family and Child Experiences Survey (AI/AN FACES 2015).Mon, 05 Nov 2018 15:54:57 Z{177AEB6D-D59B-4E5C-A352-D3E6B7C433C1}https://www.mathematica.org/en/publications/promoting-readiness-of-minors-in-supplemental-security-income-promise-promise-programs-usePromoting Readiness of Minors in Supplemental Security Income (PROMISE): PROMISE Programs’ Use of Effective Transition Practices in Serving Youth with DisabilitiesThis report describes the services offered by the six PROMISE projects and the evidence supporting their effectiveness.Fri, 19 Oct 2018 12:46:00 Z{BE402161-C12E-4023-92AF-9182E1C5E8F4}https://www.mathematica.org/en/publications/promoting-readiness-of-minors-in-supplemental-security-income-promise-promise-60-month-samplingPromoting Readiness of Minors in Supplemental Security Income (PROMISE): PROMISE 60-Month Sampling and Survey PlanThis report presents the plan for selecting the sample for and administering the PROMISE evaluation’s 60-month survey.Mon, 04 Jun 2018 15:14:00 Z{B2326CED-44A5-49B2-BB40-5DD65F1439E7}https://www.mathematica.org/en/publications/incentives-and-survey-length-does-offering-a-choice-result-in-higher-response-ratesIncentives and Survey Length: Does Offering a Choice Result in Higher Response Rates? (Presentation)We tested whether offering a choice of completing just the first section of a survey or the full version would raise response for the first section, compared to a request to complete the full survey with no choice.Wed, 30 May 2018 17:59:00 Z{31B437E8-1685-4563-88E7-8E18B9AF8C30}https://www.mathematica.org/en/publications/evaluation-of-the-comprehensive-primary-care-initiative-fourth-annual-reportEvaluation of the Comprehensive Primary Care Initiative: Fourth Annual Report This is the fourth and final report evaluating the four-year Comprehensive Primary Care (CPC) initiative, which was launched by the Center for Medicare & Medicaid Innovation (CMMI) of the Centers for Medicare & Medicaid Services (CMS) to improve primary care delivery, health care quality, and patient experience, and lower costs.Wed, 23 May 2018 17:31:00 Z{A92D970C-F2B2-4F59-AADC-FFD69FA2153F}https://www.mathematica.org/en/publications/evaluation-of-the-comprehensive-primary-care-initiative-fourth-annual-report-appendixEvaluation of the Comprehensive Primary Care Initiative Fourth Annual Report AppendixThis is the appendix to the fourth and final report evaluating the four-year Comprehensive Primary Care (CPC) initiative, which was launched by the Center for Medicare & Medicaid Innovation (CMMI) of the Centers for Medicare & Medicaid Services (CMS) to improve primary care delivery, health care quality, and patient experience, and lower costs.Wed, 23 May 2018 12:50:00 Z{C19CC50E-21AF-4CF6-81F2-DC8D7D936231}https://www.mathematica.org/en/publications/respondent-processing-of-images-in-web-surveysRespondent Processing of Images in Web SurveysMost research on images in surveys has examined how images affect answers to questions, which are known as visual context effects.Thu, 17 May 2018 18:42:00 Z{984E8919-667B-48AB-9AAB-CBBCB306E786}https://www.mathematica.org/en/publications/transparency-in-the-reporting-of-quality-for-integrated-data-a-review-of-international-standardsTransparency in the Reporting of Quality for Integrated Data: A Review of International Standards and GuidelinesThis report reviews information on international standards and guidelines on quality reporting relative to statistical estimates that combine survey data with other types of data.Fri, 27 Apr 2018 13:21:00 Z{AF879633-0390-42E1-9251-B4ABE2936815}https://www.mathematica.org/en/publications/using-a-road-test-to-improve-human-services-programs-a-primerUsing a "Road Test" to Improve Human Services Programs: A PrimerThis primer summarizes a more detailed practice brief on “road tests” (a component of the Improve stage of the larger Learn, Innovate, Improve process). It is part of a series of products designed to help program stakeholders understand and use LI² to improve human services programs.Wed, 28 Feb 2018 19:46:00 Z{2A289A38-BAF9-40D7-AB96-86B381C0F068}https://www.mathematica.org/en/publications/market-rate-surveys-and-alternative-methods-of-data-collection-and-analysis-to-inform-subsidyMarket Rate Surveys and Alternative Methods of Data Collection and Analysis to Inform Subsidy Payment RatesThis brief provides information on key issues and criteria for choosing whether to conduct a market rate survey, use an alternative methodology such as a cost model, or both.Sat, 30 Dec 2017 15:01:00 Z{741D69CF-DF44-42FB-ABEB-A7ED039FE689}https://www.mathematica.org/en/publications/effective-sampling-from-social-media-sites-and-search-engines-for-web-surveys-demographic-and-dataEffective Sampling from Social Media Sites and Search Engines for Web Surveys: Demographic and Data Quality Differences in Surveys of Google and Facebook UsersWith proliferation of web surveys, the relative affordability of recruitment, and increasing nonresponse in other survey modes, nonprobability methods are increasingly being considered by researchers and government offices alike.Fri, 01 Dec 2017 15:35:00 Z{BD27B0BD-549F-4BC4-8A7C-B9534553B296}https://www.mathematica.org/en/news/using-behavioral-science-to-improve-survey-responseUsing Behavioral Science to Improve Survey Response: New Brief Focuses on an Experiment with the National Beneficiary Survey that Boosted Call-In Rates by 50 PercentMuch of the data on which policy and program decisions are based come from stakeholder surveys. Mon, 27 Nov 2017 15:44:00 Z{10502807-E06D-4685-A414-3EF1AE1117EE}https://www.mathematica.org/en/publications/if-using-behavioral-science-to-improve-survey-response-an-experiment-with-the-national-beneficiaryUsing Behavioral Science to Improve Survey Response: An Experiment with the National Beneficiary Survey (In Focus Brief)This brief showcases how behavioral science can be used to boost call-in rates for surveys and increase our understanding of characteristics, experiences, and behaviors when administrative data sources don’t provide the kind of rich data we need.Mon, 27 Nov 2017 13:37:00 Z{63382B92-A124-4962-86DE-32C0618DCB6E}https://www.mathematica.org/en/publications/national-beneficiary-survey-general-waves-round-5-public-use-file-codebookNational Beneficiary Survey-General Waves Round 5: Public Use File CodebookThis codebook provides extensive documentation for each variable in the NBS-General Waves Public-Use file.Tue, 21 Nov 2017 13:37:00 Z{E8078644-2898-4B95-9513-89741D0058A4}https://www.mathematica.org/en/publications/national-beneficiary-survey-round-5-public-use-data-fileNational Beneficiary Survey Round 5 Public Use Data FileThis public use file is available for the National Beneficiary Survey General Waves Round 5.Tue, 21 Nov 2017 13:09:00 Z{BBDD28B7-F5AF-47ED-A8CF-38C47357CB2B}https://www.mathematica.org/en/publications/snap-employment-and-training-e-t-characteristics-study-final-reportSNAP Employment and Training (E&T) Characteristics Study: Final ReportThis report describes the characteristics of SNAP work registrants and SNAP E&T participants, the barriers they face when trying to find work, their training needs, and the services they receive through SNAP E&T programs, as well as the characteristics of E&T service providers.Tue, 31 Oct 2017 17:49:00 Z{1883F3B5-28D3-45C6-A957-C5E1E5B173C8}https://www.mathematica.org/en/publications/the-impact-of-healthy-harlem-on-the-prevalence-of-child-overweight-and-obesity-and-contributingThe Impact of Healthy Harlem on the Prevalence of Child Overweight and Obesity and Contributing Factors: Interim Evaluation ReportThe Healthy Harlem program, which is focused on improving health, nutrition, and physical fitness among children enrolled in the Harlem Children’s Zone, had positive impacts on students’ nutrition knowledge, self-efficacy, fitness, and body mass index (BMI).Fri, 01 Sep 2017 18:39:00 Z{800A3A54-E264-49BB-9D42-5293B17E3C98}https://www.mathematica.org/en/publications/national-beneficiary-survey-general-waves-round-5-volume-1-of-3-editing-coding-imputationNational Beneficiary Survey-General Waves Round 5 (Volume 1 of 3): Editing, Coding, Imputation, and Weighting ProceduresThis report summarizes the editing, coding, imputation, and weighting procedures as well as the development of standard errors for Round 5 of the NBS–General Waves.Thu, 17 Aug 2017 13:35:00 Z{ECC70818-DBE8-4AD0-A6D1-66B24AC5E8B9}https://www.mathematica.org/en/publications/national-beneficiary-survey-general-waves-round-5-volume-2-of-3-data-cleaning-and-identificationNational Beneficiary Survey-General Waves Round 5: (Volume 2 of 3) Data Cleaning and Identification of Data ProblemsThis report describes the data processing procedures performed for Round 5 of the NBS–General Waves.Thu, 17 Aug 2017 13:04:00 Z{879F0DB7-F009-44D1-ADA5-5A3D91E1B4E8}https://www.mathematica.org/en/publications/intertemporal-differences-among-mturk-workers-time-based-sample-variations-and-implicationsIntertemporal Differences Among MTurk Workers: Time-Based Sample Variations and Implications for Online Data CollectionThe online labor market Amazon Mechanical Turk (MTurk) is an increasingly popular source of respondents for social science research.Wed, 14 Jun 2017 15:11:00 Z{05AD6EF5-1D2F-40D7-B2ED-8270A968351D}https://www.mathematica.org/en/publications/challenges-and-opportunities-in-engaging-low-income-populations-with-disabilities-in-web-surveysChallenges and Opportunities in Engaging Low-Income Populations with Disabilities in Web Surveys (Presentation)Sat, 20 May 2017 12:54:00 Z{BA880DE7-02B9-43B4-843C-2DF3F583CE60}https://www.mathematica.org/en/publications/commercial-locating-database-efficacy-for-telephone-surveys-of-low-income-populationsCommercial Locating Database Efficacy for Telephone Surveys of Low-Income Populations (Presentation)This presentation investigates commercial locating database efficacy among a telephone survey of low-income households with children. We examine locating database coverage and review telephone accuracy by source, comparing data provided by the sample frame and two different locating databases.Fri, 19 May 2017 17:12:00 Z{678EB444-DD58-472A-B7CB-685BC37BA73F}https://www.mathematica.org/en/publications/reengaging-respondents-after-receipt-of-an-incentive-to-reduce-item-nonresponse-when-is-the-bestReengaging Respondents after Receipt of an Incentive to Reduce Item Nonresponse: When Is the Best Time to Reengage? (Presentation)Reports on findings from a case study on reducing survey item non-response with a monetary incentive and telephone follow-up.Fri, 19 May 2017 13:04:00 Z{A2BCA77A-D454-4CCA-B37A-AF7002D98D33}https://www.mathematica.org/en/publications/encouraging-survey-response-among-diverse-hard-to-reach-populations-use-of-differential-incentivesEncouraging Survey Response Among Diverse, Hard-to-Reach Populations: Use of Differential Incentives (Presentation)Thu, 18 May 2017 13:10:29 Z{D1AE5CF2-2E12-4F1F-841D-9D836C1CA5CC}https://www.mathematica.org/en/news/mathematicas-survey-experts-present-at-2017-aapor-conferenceMathematica's Survey Experts Present at 2017 AAPOR ConferenceSeveral survey experts from Mathematica will attend the annual meeting of the American Association for Public Opinion Research (AAPOR) in New Orleans, Louisiana, on May 18–21. Tue, 16 May 2017 19:01:00 Z{9E7CA57E-1AE2-44E4-9405-5A0E91B220C6}https://www.mathematica.org/en/publications/using-survey-data-sets-to-study-homeschoolingUsing Survey Data Sets to Study HomeschoolingThis chapter describes survey data available for studying homeschooling, especially nationally representative cross-sections of U.S. schoolchildren. It also discusses what is known about the number of homeschooled children in the United States, and how the number has changed over time.Fri, 30 Dec 2016 13:34:00 Z{7CBE4C24-8777-4D0B-9FFF-E058B65FDB54}https://www.mathematica.org/en/publications/letter-to-commission-on-evidence-based-policymakingLetter to Commission on Evidence-Based PolicymakingSigned by Paul Decker, this letter was submitted to the Commission on Evidence-Based Policymaking during an open comment period.Wed, 14 Dec 2016 15:37:00 Z{8637EB8F-7229-4E17-8F98-4079F5CEA914}https://www.mathematica.org/en/publications/tracking-quality-in-head-start-classrooms-faces-2006-to-faces-2014-technical-reportTracking Quality in Head Start Classrooms: FACES 2006 to FACES 2014 (Technical Report)In this report, we highlight findings from cross-cohort analyses of data from the Head Start Family and Child Experiences Survey (FACES 2006, 2009, and 2014. Wed, 30 Nov 2016 16:21:00 Z{62F49775-96AF-4B4F-AFBA-DD07033C5391}https://www.mathematica.org/en/publications/an-analysis-of-communicative-language-functions-in-the-speech-patterns-of-bilingual-koreanAn Analysis of Communicative Language Functions in the Speech Patterns of Bilingual Korean and Mexican Immigrant ChildrenFor children from immigrant families, opportunities to develop additive bilingualism exist, yet bilingual attainment has varied widely.Mon, 26 Sep 2016 15:28:02 Z{051D3195-A500-4F8D-A611-9DD6B761ED00}https://www.mathematica.org/en/publications/comparing-smartphones-to-tablets-for-facetoface-interviewing-in-kenyaComparing Smartphones to Tablets for Face-to-Face Interviewing in KenyaResearch conducted over the past 30 years has demonstrated a reduction in errors and improvement in data quality when face–to-face social surveys are carried out using computers instead of paper and pencil.Mon, 05 Sep 2016 14:43:00 Z{45AAEBC2-19F5-4416-A212-819B72F28348}https://www.mathematica.org/en/publications/the-pipeline-project-prepublication-iindependent-replications-of-a-single-laboratorys-researchThe Pipeline Project: Pre-Publication Independent Replications of a Single Laboratory's Research PipelineThis crowdsourced project introduces a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published.Thu, 01 Sep 2016 12:40:00 Z{BDE03214-A621-4479-87EA-69EE65F0E053}https://www.mathematica.org/en/publications/access-to-and-disparities-in-care-among-migrant-and-seasonal-farm-workers-msfws-at-us-health-centersAccess to and Disparities in Care among Migrant and Seasonal Farm Workers (MSFWs) at U.S. Health CentersThis study describes the characteristics of migrant and seasonal farm workers (MSFWs) served by federally-funded health centers and examines disparities in access to primary and preventive care between migrant health center (MHC) and community health center (CHC) program patients. Tue, 30 Aug 2016 14:10:00 Z{0E025B0C-06DF-4012-90F7-28DA57F019C4}https://www.mathematica.org/en/publications/small-area-estimates-produced-by-the-us-federal-government-methods-and-issuesSmall Area Estimates Produced by the U.S. Federal Government: Methods and IssuesAn overview of U.S. government applications of small area estimates.Wed, 17 Aug 2016 14:06:00 Z{A714F76E-878F-4A74-A6AD-9F15D83738A5}https://www.mathematica.org/en/publications/declining-response-rates-in-federal-surveys-trends-and-implications-background-paperDeclining Response Rates in Federal Surveys: Trends and Implications (Background Paper)This report documents recent trends in the response rates to seven major surveys sponsored by HHS and reviews recent literature on the relationship between response rates and nonresponse bias.Wed, 15 Jun 2016 19:54:00 Z{439A67C5-EB99-46B9-8018-BCF6A294CF48}https://www.mathematica.org/en/publications/effects-of-incentive-amount-and-type-of-web-survey-response-ratesEffects of Incentive Amount and Type of Web Survey Response RatesProviding meaningful incentives demonstrates to respondents that researchers understand the competing demands on their time and value their input.Thu, 31 Mar 2016 13:29:00 Z{F8C30B6F-4346-469F-9880-FDB2F63171F4}https://www.mathematica.org/en/publications/synthetic-multipleimputation-procedure-for-multistage-complex-samplesSynthetic Multiple-Imputation Procedure for Multistage Complex SamplesMultiple imputation (MI) is commonly used when item-level missing data are present. However, MI requires that survey design information be built into the imputation models.Thu, 31 Mar 2016 12:30:00 Z{C9AE2EA1-C9B2-49DE-ADB0-C7C0D910FA42}https://www.mathematica.org/en/publications/conducting-clinical-research-using-crowdsourced-convenience-samplesConducting Clinical Research Using Crowdsourced Convenience SamplesThis article summarizes what is known about Amazon’s Mechanical Turk sample composition and data quality. It addresses methodological issues with using Mechanical Turk and suggests concrete steps to avoid these issues or minimize their impact.Wed, 30 Mar 2016 14:17:00 Z{CFF9C2F1-6BB5-44C4-BCCA-530C032740B7}https://www.mathematica.org/en/publications/response-to-comment-on-estimating-the-reproducibility-of-psychological-scienceResponse to Comment on "Estimating the Reproducibility of Psychological Science"Fri, 04 Mar 2016 11:17:00 Z{2E11E01E-7823-4A5B-837C-C95443F1F5A8}https://www.mathematica.org/en/publications/using-a-calendar-and-explanatory-instructions-to-aid-withinhousehold-selection-in-mail-surveysUsing a Calendar and Explanatory Instructions to Aid Within-Household Selection in Mail SurveysAlthough researchers can easily select probability samples of addresses using the U.S. Postal Service’s Delivery Sequence File, randomly selecting respondents within households for surveys remains challenging.Mon, 01 Feb 2016 13:31:39 Z{A5925E3D-4C66-493B-B390-0AF8D7AB3864}https://www.mathematica.org/en/publications/affordability-of-national-flood-insurance-program-premiums-report-2-presentationAffordability of National Flood Insurance Program Premiums: Report 2 (presentation)Wed, 20 Jan 2016 19:57:00 Z{C64BEBEF-6F4B-4A0E-A847-721E495D4C9B}https://www.mathematica.org/en/publications/affordability-of-national-flood-insurance-program-premiums-report-2Affordability of National Flood Insurance Program Premiums—Report 2Drawing on lessons learned from a proof-of-concept analysis, this report proposes that the Federal Emergency Management Agency develop a microsimulation model—which will use a database of records for individual policyholders and property owners to mimic how policy decisions might affect those individuals—to simulate the effects of different National Flood Insurance Program affordability policy options. The report also notes, however, that some of the essential data needed to support such modeling are not currently available to the Agency.Wed, 30 Dec 2015 18:54:00 Z{C57E7C03-9F6A-4DB9-82B2-6C6FE236C554}https://www.mathematica.org/en/publications/big-data-in-survey-research-aapor-task-force-reportBig Data in Survey Research: AAPOR Task Force ReportRecent years have seen an increase in the amount of statistics describing different phenomena based on “Big Data.” Tue, 03 Nov 2015 15:36:00 Z{92A8A9C3-04AD-42B5-9C44-E0E8402D266D}https://www.mathematica.org/en/publications/head-start-family-and-child-experiences-survey-faces-2009-cohort-user-guideHead Start Family and Child Experiences Survey (FACES): 2009 Cohort User GuideUser's manual for FACES 2009 data set.Sun, 01 Nov 2015 09:11:00 Z{3E40B296-D9B2-4CED-8626-CB0F200FD7E0}https://www.mathematica.org/en/publications/head-start-family-and-child-experiences-survey-faces-2006-cohort-user-guideHead Start Family and Child Experiences Survey (FACES): 2006 Cohort User GuideUser's manual for FACES 2006 Data Set.Sun, 01 Nov 2015 08:58:00 Z{F97B669C-7B3E-4C2A-B95C-9F8051D18AF6}https://www.mathematica.org/en/publications/the-average-laboratory-samples-a-population-of-7300-amazonThe Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk WorkersUsing capture-recapture analysis (a tool used by ecologists to estimate the size of hard to observe populations) we estimate the effective size of the active Amazon Mechanical Turk (MTurk) population that a typical laboratory can access to be about 7,300 workers.Wed, 30 Sep 2015 15:39:00 Z{5F249C38-8543-4671-8050-E8514D097501}https://www.mathematica.org/en/publications/redesign-of-the-income-questions-in-the-current-population-survey-annual-social-and-economicRedesign of the Income Questions in the Current Population Survey Annual Social and Economic Supplement: Further Analysis of the 2014 Split-Sample TestThis report applies difference-in-differences analysis to matched samples of CPS ASEC households to assess the impact of new income questions that were introduced to a portion of the 2014 sample selected at random. Sun, 27 Sep 2015 12:49:00 Z