Wikipedia

Joseph Waksberg

Joseph Waksberg (September 20, 1915 – January 10, 2006) was an American statistician. While at the United States Census Bureau and Westat, he developed methods for area sampling and telephone sampling and made contributions in many areas of surveys and censuses.

Joseph Waksberg
Born(1915-09-20)September 20, 1915[1]
Kielce, Poland
DiedJanuary 10, 2006(2006-01-10) (aged 90)[2]
Near Washington, D.C., U.S.
Alma materCity University of New York, B.A. 1936
Known forStatistical sampling techniques
Scientific career
FieldsSurvey sampling, Statistics
InstitutionsUS Census, Westat

Early Life

edit

Waksberg was born in Kielce, Poland in 1915 and came to the United States in 1921 when his family immigrated. He joined the Census Bureau as a clerk in 1940.[1] While there, he received the Department of Commerce Meritorious Service Ward in 1956 and The Gold Medal Award in 1968.[3] While at the Census Bureau, he worked closely with Morris Hansen, one of survey sampling’s founders. Among the other clerks at the Census Bureau were Benjamin Tepping, Joseph Steinberg, Samuel Greenhouse, William N. Hurwitz, Margaret Gurney, and Marvin Schneiderman[4]—all of whom became distinguished statisticians.

U.S. Census Bureau 1940–1973

edit

Waksberg mainly worked on sample design issues, but his thinking was not limited to mathematical considerations.[5] Depending on the application, he adapted methods to account for practicalities. In the early 1960s he and John Neter studied memory recall errors in a consumer survey of home repair costs.[6] Although response errors in expenditure surveys were a known problem,[7][8] it had not often been studied directly. Neter and Waksberg conducted an experiment sponsored by the United States Census Bureau to study the tendency of people to misreport the time period when expenditures occurred. Large expenditures, in particular, were often reported to have occurred nearer to the present than when they actually occurred, i.e., they were telescoped forward. Based on their findings, they were the first to propose bounded recall as a potential solution. In the second or later interview in a continuing survey the respondent is told the expenditures that had been reported in the previous interview then asked for the additional expenditures since then. The telescoping effect was later recognized in cognitive psychology as a common memory problem in the recall of past effects.[9] Waksberg and Neter are credited with doing the original work on the concept of telescoping.[6] Their work is also relevant to conditioning effects in panel surveys where participants' reports of their characteristics may (incorrectly) change over time, leading to biases in estimates.[10][11][12]

Faulty data used in designing a sample was another topic he studied.[1] When he became the head statistician on the US Current Population Survey (CPS) in the early 1960’s, the area probability methods were well established. But the survey had to face new problems caused by the expanding American economy. The migration to the suburbs from cities had begun and data from the 1960 census was becoming progressively staler. Maps being used for fieldwork were outdated. Fast-growing neighborhoods led to bad measures of size used for probability proportional to size sampling based on the last census, which, in turn, led to intolerably expensive workloads if the original sampling plan was implemented.[13] Coverage errors were recognized problems for censuses and surveys on which he also led research. With his colleagues, Waksberg helped introduce address-list sampling as a way of reducing the number of households inadvertently omitted by field listers.[1]

Waksberg and colleagues measured the total variance between the sample segments and the within-segments variance for a variety of items collected by the CPS to gauge the effect of interviewers. Two interviewers received randomly selected assignments within a set of small geographic areas. The results showed large interviewer effects for many items collected in the survey. This research led to much of the information being collected from a sample of persons rather than the full population in order to reduce the number of interviewers. In the 1960 US census, data collection was conducted by mail thereby eliminating the issue of undesirable variation among interviewers.[14]

Later Years

edit

After 33 years of service, Waksberg retired from the Census Bureau and joined Westat, a statistical research firm in Rockville MD USA.[1]

While at Westat he and Warren Mitofsky developed the Mitofsky-Waksberg (MW)[15] method of random digit dialing (Waksberg, 1978). This article has been cited in various statistical and social science journals nearly 2,000 times.[16] In 1986, Kalton and Anderson noted that the method was especially useful for sampling rare populations.[17] The MW method has been particularly useful in identifying persons to use as controls from the general population in case-control studies.[18]

In the early 1970s unrestricted random sampling of telephone numbers in the US was extremely inefficient for household sampling. The MW method treated the first eight digits in the sorted list of phone numbers as clusters (known as 100-banks), screened clusters by phoning a randomly selected number in a sample 100-bank and retaining a cluster only if the contacted number was residential. In a retained cluster additional 2-digit numbers were appended to the 8-digit cluster number and phoned to obtain the desired sample size.[15]

In 1967 he was asked by Mitofsky to consult for the CBS television network on election night predictions, a post he maintained through the 1994 elections.[1] In 1966 CBS based its predictions on set of key precincts in every state. In most states, the system worked well but gave poor predictions in a few states like Maryland.  The issue in Maryland was that precincts whose party vote-split changed substantially from the previous election were thrown out as being either outliers or errors. The reported vote in those precincts turned out to be correct, and their removal produced an incorrect prediction in the governor's race. Based on the recommendation of Waksberg and Mitofsky, CBS switched to probability samples of precincts with none being replaced.[citation needed]

Honors

edit

He served the profession of statistics in many roles and received numerous awards, including the Department of Commerce Gold Medal,[3] the Roger Herriot Memorial Award from the American Statistical Association (ASA), and election as an ASA Fellow in 1964. He served on the ASA Board of Directors as chairs of both the Survey Research Methods Section and the Social Statistics Section and on a number of committees. He has been president of the Washington Statistical Society and was an Associate Editor of the journal Survey Methodology. Throughout his career at the Census Bureau and Westat, he had a commitment to mentoring young statisticians. In 2001 the journal Survey Methodology established the annual Waksberg Award in his honor to recognize his contributions to the survey profession.[19][20]

References

edit
  1. ^ a b c d e f Morganstein, David; Marker, David; Waksberg, Joseph (2000). "A Conversation with Joseph Waksberg". Statistical Science. 15 (3): 299–312. ISSN 0883-4237. JSTOR 2676667.
  2. ^ Press, The Associated (January 17, 2006). "Joseph Waksberg – Survey Researcher, 90". The New York Times. ISSN 0362-4331. Retrieved August 3, 2024.
  3. ^ a b Statistical Reporter: Current Developments in Federal Statistics (74-1 ed.). Washington DC USA: US Office of Management and Budget. 1974. p. 37.
  4. ^ Simon, Richard M. (May 1, 1997). "A conversation with Marvin A. Schneiderman". Statistical Science. 12 (2). doi:10.1214/ss/1029963425. ISSN 0883-4237.
  5. ^ Valliant, Richard (2024). "Sample Design Using Models". Survey Methodology. accepted for publication.
  6. ^ a b Neter, John; Waksberg, Joseph (1964). "A Study of Response Errors in Expenditures Data from Household Interviews". Journal of the American Statistical Association. 59 (305): 18–55. doi:10.1080/01621459.1964.10480699. ISSN 0162-1459.
  7. ^ Cole, D.; Uttig, J.E.G. (1956). "Estimating expenditure, saving and income from household budgets". Journal of the Royal Statistical Society, Series A. 119 (4): 371–392. doi:10.2307/2342576. JSTOR 2342576.
  8. ^ Ferber, Robert (1955). "On the reliability of responses secured in sample surveys". Journal of the American Statistical Association. 50: 788–810.
  9. ^ Tourangeau, Roger; Rips, Lance J.; Rasinski, Kenneth A. (2000). The psychology of survey response. Cambridge, U.K. ; New York: Cambridge University Press. ISBN 978-0-521-57246-0.
  10. ^ Neter, John; Waksberg, Joseph (1964). "Conditioning Effects from Repeated Household Interviews". Journal of Marketing. 28 (2): 51–56. doi:10.1177/002224296402800211. ISSN 0022-2429.
  11. ^ Halpern-Manners, Andrew; Warren, John Robert (November 1, 2012). "Panel Conditioning in Longitudinal Studies: Evidence From Labor Force Items in the Current Population Survey". Demography. 49 (4): 1499–1519. doi:10.1007/s13524-012-0124-x. ISSN 0070-3370. PMC 3648659. PMID 22893185.
  12. ^ Lynn, Peter (2009). Methodology of longitudinal surveys. Wiley series in survey methodology. Chichester, UK: John Wiley & Sons. ISBN 978-0-470-01871-2. OCLC 298612199.
  13. ^ US Census Bureau (October 2006). Current Population Survey: Design and Methodology (PDF). US Departments of Labor and Commerce.{{cite book}}: CS1 maint: date and year (link)
  14. ^ US Census Bureau (2002). Measuring America: The Decennial Censuses From 1790 to 2000 (PDF). US Department of Commerce.
  15. ^ a b Waksberg, Joseph (1978). "Sampling Methods for Random Digit Dialing". Journal of the American Statistical Association. 73 (361): 40–46. doi:10.1080/01621459.1978.10479995. ISSN 0162-1459.
  16. ^ "Google Scholar". scholar.google.com.
  17. ^ Kalton, Graham; Anderson, Dallas W. (1986). "Sampling Rare Populations". Journal of the Royal Statistical Society. Series A (General). 149 (1): 65–82. doi:10.2307/2981886. hdl:2027.42/147111. ISSN 0035-9238. JSTOR 2981886.
  18. ^ Hartge, P.; Brinton, L. A.; Rosenthal, J. F.; Cahill, J. I.; Hoover, R. N.; Waksberg, J. (December 1, 1984). "Random Digit Dialing in Selecting a Population-Based Control Group". American Journal of Epidemiology. 120 (6): 825–833. doi:10.1093/oxfordjournals.aje.a113955. ISSN 0002-9262. PMID 6334439.
  19. ^ "Waksberg Award | International Association of Survey Statisticians (IASS)". Retrieved August 3, 2024.
  20. ^ "ASA Community". community.amstat.org. Retrieved August 3, 2024.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Joseph_Waksberg&oldid=1239872933"