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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-007.mrc:126922770:2684
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-007.mrc:126922770:2684?format=raw

LEADER: 02684mam a22003974a 4500
001 3105200
005 20221019220958.0
008 010417t20012001nyua b 001 0 eng
010 $a 2001032009
020 $a0387952829 (alk. paper)
035 $a(OCoLC)ocm46866316
035 $9ATT5799CU
035 $a(NNC)3105200
035 $a3105200
040 $aDLC$cDLC$dC#P$dOHX$dOrLoB-B
042 $apcc
050 00 $aBF39$b.B755 2001
072 7 $aBF$2lcco
082 00 $a150/.1/5195$221
100 1 $aBrennan, Robert L.$0http://id.loc.gov/authorities/names/n85018354
245 10 $aGeneralizability theory /$cRobert L. Brennan.
260 $aNew York :$bSpringer,$c[2001], ©2001.
300 $axx, 538 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aStatistics for social science and public policy
504 $aIncludes bibliographical references (p. [507]-519) and indexes.
520 1 $a"Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. It liberalizes classical test theory, in part through the application of analysis of variance procedures that focus on variance components. As such, generalizability theory is perhaps the most broadly defined measurement model currently in existence.
520 8 $aIt is applicable to virtually any scientific field that attends to measurements and their errors, and it enables a multifaceted perspective on measurement error and its components.".
520 8 $a"This book provides the most comprehensive and up-to-date treatment of generalizability theory that is currently available. In addition, it provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields.
520 8 $aReaders will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume a specific background."--BOOK JACKET.
650 0 $aPsychometrics.$0http://id.loc.gov/authorities/subjects/sh85108490
650 0 $aPsychology$xStatistical methods.$0http://id.loc.gov/authorities/subjects/sh2008110166
650 0 $aAnalysis of variance.$0http://id.loc.gov/authorities/subjects/sh85004782
830 0 $aStatistics for social science and public policy.$0http://id.loc.gov/authorities/names/no97055502
852 00 $bmat$hBF39$i.B755 2001