A Comparison of Computerized Techniques for Recognized Spanish Names [electronic resource] / G. Lee Giesecke.
The results of various computerized coding techniques used to identify persons of Spanish derivation were compared to questionnaire responses in which people identified themselves as Spanish. The coding techniques classified names as Spanish and non-Spanish using the following: census surnames; Mort...
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Format: | Electronic eBook |
Language: | English |
Published: |
[S.l.] :
Distributed by ERIC Clearinghouse,
1973.
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099 | |f ERIC DOC # |a ED085146 | ||
100 | 1 | |a Giesecke, G. Lee. | |
245 | 1 | 2 | |a A Comparison of Computerized Techniques for Recognized Spanish Names |h [electronic resource] / |c G. Lee Giesecke. |
260 | |a [S.l.] : |b Distributed by ERIC Clearinghouse, |c 1973. | ||
300 | |a 26 p. | ||
500 | |a ERIC Document Number: ED085146. | ||
500 | |a Sponsoring Agency: Office of the Assistant Secretary of Defense for Manpower and Reserve Affairs (DOD), Washington, DC. |5 ericd. | ||
520 | |a The results of various computerized coding techniques used to identify persons of Spanish derivation were compared to questionnaire responses in which people identified themselves as Spanish. The coding techniques classified names as Spanish and non-Spanish using the following: census surnames; Morton surnames; "Broad" Spanish surnames; "Narrow" Spanish surnames; the Buechley technique; "Broad" Spanish first names; "Narrow" Spanish first names; and combinations of these lists. For each coding technique an estimate was calculated for the proportion of persons with Spanish names not classifing themselves as Spanish and persons classifying themselves as Spanish who did not have Spanish names. These estimates were for the United States as a whole and for groupings by geographic area, age, educational attainment, and percentile on the Armed Forces Qualification Test. Data were obtained from the U.S. Air Force Airman Sample Survey of March 1971 and the Air Force Master File of male enlisted personnel (June 1971). It was found that outside of the 5 Southwestern states and at higher educational and aptitude levels, the name recognition procedures include increasing proportions of persons who do not classify themselves as Spanish. Data are presented in tabular form. (NQ) | ||
650 | 1 | 7 | |a Classification. |2 ericd. |
650 | 0 | 7 | |a Codification. |2 ericd. |
650 | 0 | 7 | |a Comparative Analysis. |2 ericd. |
650 | 1 | 7 | |a Computer Science. |2 ericd. |
650 | 1 | 7 | |a Information Processing. |2 ericd. |
650 | 1 | 7 | |a Input Output Analysis. |2 ericd. |
650 | 1 | 7 | |a Spanish Speaking. |2 ericd. |
650 | 0 | 7 | |a Tables (Data) |2 ericd. |
710 | 2 | |a Human Resources Research Organization. | |
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