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LEADER 00000cam a2200805Ii 4500 
001    ocn944189411 
003    OCoLC 
005    20190712071751.8 
006    m     o  d         
007    cr mn||||||||| 
008    160309t20162016caua    ob    000 0 eng d 
019    945391446 
020    9780833094445|q(electronic book) 
020    0833094440|q(electronic book) 
020    |z9780833094148 
020    |z0833094149 
035    (OCoLC)944189411|z(OCoLC)945391446 
037    22573/ctt1b6gkg8|bJSTOR 
040    AWC|beng|erda|epn|cAWC|dJSTOR|dCOO|dYDXCP|dOCLCF|dVT2|dLND
       |dLOA|dICG|dOCLCA|dU3W|dCEF|dOCLCQ|dICN|dERL|dWYU 
043    n-us--- 
049    RIDW 
050  4 UB323|b.J34 2016eb 
072  7 COM060000|2bisacsh 
072  7 COM021000|2bisacsh 
072  7 BUS012000|2bisacsh 
072  7 HIS027000|2bisacsh 
072  7 COM021030|2bisacsh 
082 04 355.2/230973|223 
088    RR-1197-A 
090    UB323|b.J34 2016eb 
100 1  Jahedi, Salar,|0https://id.loc.gov/authorities/names/
       no2016093218|eauthor. 
245 10 Searching for information online :|busing big data to 
       identify the concerns of potential Army recruits /|cSalar 
       Jahedi, Jennie W. Wenger, Douglas Yeung. 
264  1 Santa Monica, Calif. :|bRAND Corporation,|c[2016] 
264  4 |c©2016 
300    1 online resource (22 pages) :|bcolor illustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|bPDF|2rda 
490 1  Rand Corporation research report series ;|vRR-1197-A 
500    Series from web site. 
500    "Arroyo Center." 
504    Includes bibliographical references (pages 21-22). 
505 0  Introduction -- What is big data? -- What can internet 
       search data tell us about attitudes and trends? -- 
       Internet search data : three publicly available analytic 
       tools and Army-relevant examples -- Implications and 
       future work -- Tips, tricks, and other considerations. 
520    "This report assesses empirical applications of web search
       data and discusses the prospective value such data can 
       offer Army recruiting efforts. The authors examine three 
       different tools -- Google Trends, Google AdWords, and 
       Google Correlate -- that can be used to access and analyze
       readily available, anonymous data from Internet searches 
       related to the Army and to Army service. They found that 
       Google search queries can inform how interest in military 
       careers has evolved over time and by geographic location 
       and can identify the foremost Army-related concerns that 
       potential recruits have. Moreover, by analyzing how search
       terms correlate across time, it is possible to predict 
       with reasonable accuracy what non-Army related terms 
       people are searching for in the months before or after an 
       Army query. These queries serve as leading and lagging 
       indicators of army-related searches and can offer a 
       glimpse into the concerns of individuals near the time 
       period when they are considering joining. The results 
       suggest that search terms can serve as an indicator of 
       propensity and can be incorporated into models to predict 
       highly qualified Army accessions"--Publisher's web site. 
588 0  Online resource; title from PDF title page (RAND, viewed 
       March 9, 2016). 
590    JSTOR|bBooks at JSTOR Open Access 
610 10 United States.|bArmy|xRecruiting, enlistment, etc.|0https:
       //id.loc.gov/authorities/subjects/sh85140698 
610 10 United States.|bArmy|0https://id.loc.gov/authorities/names
       /n79063202|xData processing.|0https://id.loc.gov/
       authorities/subjects/sh99005487 
610 17 United States.|bArmy.|2fast|0https://id.worldcat.org/fast/
       533532 
650  0 Recruiting and enlistment|0https://id.loc.gov/authorities/
       subjects/sh85111996|xData processing.|0https://id.loc.gov/
       authorities/subjects/sh99005487 
650  0 Big data.|0https://id.loc.gov/authorities/subjects/
       sh2012003227 
650  7 Recruiting and enlistment|xData processing.|2fast|0https:/
       /id.worldcat.org/fast/1431999 
650  7 Recruiting and enlistment.|2fast|0https://id.worldcat.org/
       fast/1091944 
650  7 Big data.|2fast|0https://id.worldcat.org/fast/1892965 
655  4 Electronic books. 
700 1  Wenger, Jennie W.,|0https://id.loc.gov/authorities/names/
       no2014155829|eauthor. 
700 1  Yeung, Douglas,|0https://id.loc.gov/authorities/names/
       n2013016778|eauthor. 
710 2  Arroyo Center,|0https://id.loc.gov/authorities/names/
       n93002955|eissuing body. 
710 2  Rand Corporation,|0https://id.loc.gov/authorities/names/
       n78083407|epublisher. 
830  0 Research report (Rand Corporation) ;|0https://id.loc.gov/
       authorities/names/no2013072664|vRR-1197-A. 
856 40 |uhttps://www.jstor.org/stable/10.7249/j.ctt1b67wpk
       |zOnline eBook. Open Access via JSTOR. 
901    MARCIVE 20231220 
948    |d20190820|cJSTOR EBSCO|tJSTOROpenAccess 
       EBSCOebooksacademic UPDATES 5472J 1248 BOTH 7-12-19|lridw 
948    |d20180926|clti|tlti-aex 
948    |d20171005|cJSTOR|tJSTOROpenAccess new|lridw 
994    92|bRID