| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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| 006 |
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| 007 |
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| 008 |
190425s2019 enka fos 000 0 eng d |
| 005 |
20240923170330.6 |
| 035 |
|
|
|a (OCoLC)on1101744200
|
| 040 |
|
|
|a SGPBL
|b eng
|e rda
|e pn
|c SGPBL
|d OCLCO
|d OCLCF
|d AGL
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|
| 020 |
|
|
|a 9781526495440
|q (online resource)
|
| 020 |
|
|
|a 1526495449
|
| 035 |
|
|
|a (OCoLC)1101744200
|
| 050 |
|
4 |
|a HM538
|b .S36 2019
|
| 070 |
0 |
|
|a HM538
|b .S36 2019
|
| 082 |
0 |
4 |
|a 300.723
|
| 049 |
|
|
|a TXAM
|
| 100 |
1 |
|
|a Jones, Julie Scott,
|d 1966-
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PCjtC6HjT7d9Hfy3F4cTVfq
|
| 245 |
1 |
0 |
|a Learn to use the Cramér's V test in R with data from the Quarterly Labour Force Survey (Teaching Dataset) (2015) /
|c Julie Scott Jones.
|
| 264 |
|
1 |
|a London :
|b SAGE Publications, Ltd.,
|c 2019.
|
| 300 |
|
|
|a 1 online resource :
|b illustrations
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 520 |
8 |
|
|a This dataset is designed for learning to use the Cramér's V test. The dataset is a subset of data derived from the 2015 Quarterly Labour Force Survey (dataset-gss-2016-subset3.sav), and the example tests the strength of association between highest education qualification and job classification. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
|
| 588 |
|
|
|a Description based on XML content.
|
| 650 |
|
0 |
|a Social surveys.
|
| 650 |
|
0 |
|a Social sciences
|x Statistical methods.
|
| 650 |
|
0 |
|a Labor.
|
| 650 |
|
0 |
|a R (Computer program language)
|
| 650 |
|
2 |
|a Work
|
| 650 |
|
6 |
|a Enquêtes sociales.
|
| 650 |
|
6 |
|a Sciences sociales
|x Méthodes statistiques.
|
| 650 |
|
6 |
|a Travail.
|
| 650 |
|
6 |
|a R (Langage de programmation)
|
| 650 |
|
7 |
|a labor.
|2 aat
|
| 650 |
|
7 |
|a Labor
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|
| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|
| 650 |
|
7 |
|a Social sciences
|x Statistical methods
|2 fast
|
| 650 |
|
7 |
|a Social surveys
|2 fast
|
| 758 |
|
|
|i has work:
|a Learn to use the Cramér's V test in R with data from the Quarterly Labour Force Survey (Teaching Dataset) (2015) (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFFdK8bD3RMyDWxPf673FC
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/dataset/cramers-v-lfsp-2015-r
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a SAGE eBooks
|
| 955 |
|
|
|a SAGE Research Methods Datasets 2
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
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|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e HM538 .S36 2019
|h Library of Congress classification
|
| 998 |
f |
f |
|a HM538 .S36 2019
|t 0
|l Available Online
|