Researching big data skills using a mixed-methods approach / Alana McGuire
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | London : SAGE Publications Ltd |
| 出版年 | 2017 |
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| 書誌ID | OB00844451 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | Includes bibliographical references and index License restrictions may limit access My PhD explores the impact of big data on skill requirements for employers in Scotland, asking the following question: How is big data changing skill demands for employers? The main question of sociological interest is as follows: Has big data created a new skill divide? This case study explains my mixed-methods design and examines the first strand of my data analysis which is quantitative and uses regression analysis. So far, I have addressed one aspect of big data skill inequalities using the British Cohort Study and the 1986 arithmetic data from this study to investigate social inequalities. The main statistical analysis that has been conducted thus far uses data from the Employer Skill Survey in regression models. This case will explain my overall mixed-methods approach and discuss the practical aspects and challenges of my statistical analysis Description based on XML content |
| 著者標目 | *McGuire, Alana |
| 統一書名標目 | SAGE Research Methods. Cases. |
| 件 名 | LCSH:Big data -- Social aspects -- Scotland -- Case studies
全ての件名で検索
LCSH:Business intelligence -- Data processing -- Scotland -- Case studies 全ての件名で検索 LCSH:Business planning -- Statistical methods -- Scotland -- Case studies 全ての件名で検索 |
| 分 類 | LCC:QA76.9.B45 DC:005.7 |
| 巻冊次 | ebook ; ISBN:9781526419620 ; PRICE:No price RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
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