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  • Search: subject:"data cleaning"
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Year of publication
Subject
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data cleaning 15 Data cleaning 4 data quality 4 Data collection 3 Datenerhebung 3 cross-section of stocks 3 data errors 3 empirical research 3 research design 3 Big Data 2 Big data 2 Data Cleaning 2 Data collections 2 Data quality 2 Datenqualität 2 Sampling 2 Statistical method 2 Statistische Methode 2 Stichprobenerhebung 2 data analysis procedures 2 data collection procedures 2 research instrument 2 sampling design 2 validity and reliability 2 ANCOVA 1 Alteryx Designer 1 Bayes-Statistik 1 Bayesian classifier 1 Bayesian inference 1 Befragung 1 Betriebsgröße 1 Data Mining 1 Data Preprocessing 1 Data correction 1 Data mining 1 Decision 1 Decision-making 1 EU countries 1 EU-Staaten 1 Energy 1
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Online availability
All
Undetermined 10 Free 7 CC license 1
Type of publication
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Article 17 Book / Working Paper 4
Type of publication (narrower categories)
All
Article in journal 11 Aufsatz in Zeitschrift 11 Article 1 Working Paper 1 research-article 1
Language
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English 16 Undetermined 5
Author
All
Abed, Ibtihal A. 2 Al-Mubaydeen, Tareq Hammad 2 Al-Ramahi, Nidal Mahmoud 2 Ali, Mostafa A. 2 Haddad, Hossam 2 Karam, Charlotte M. 2 Ralston, David A. 2 Waszczuk, Antonina 2 Aguinis, Herman 1 Akouemo, Hermine N. 1 Alberti, Cristina Thomas 1 Armundito, Erik 1 Beaver, Margaret 1 Biemann, Torsten 1 Boss, Scott R. 1 Boumans, Marcel J. 1 Braun, Michael T. 1 Cheung, Shu-Fai 1 DeShon, Richard P. 1 DeSimone, Justin A. 1 Desimone, Alice J. 1 El Nemar, Sam 1 El Samad, Mahmoud 1 El-Chaarani, Hani 1 Gantman, Sonia 1 Garg, Rakhi 1 Harms, P.D. 1 Hunter, Kara 1 Hussin, Nazimah 1 Kam, Chester Chun Seng 1 Kaneko, Shinji 1 Koch, Irmela 1 Kuljanin, Goran 1 Leonelli, Sabina 1 Meier-Barthold, Madleen 1 Metzger, Lorrie 1 Meyvis, Tom 1 Mishra, P.K. 1 Nazimah Hussin 1 Povinelli, Richard J. 1
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Institution
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Department of Agricultural, Food and Resource Economics, Michigan State University 1 Graduate School for International Development and Cooperation, Hiroshima University 1 Stata User Group 1
Published in...
All
BIFEC Book of Abstracts & Proceedings 3 Organizational research methods : ORM 3 Journal of emerging technologies in Accounting 2 Canadian Stata Users' Group Meetings 2009 1 Cross Cultural & Strategic Management 1 Cross cultural & strategic management 1 EuroMed journal of business 1 Food Security International Development Working Papers 1 IDEC DP2 Series 1 International Journal of Information Technology and Web Engineering (IJITWE) 1 International journal of forecasting 1 Journal of Risk and Financial Management 1 Journal of consumer research : JCR ; an interdisciplinary bimonthly 1 Journal of organizational behavior : OB ; the internat. journal of industrial, occupational and organizational psychology and behavior 1 Journal of risk and financial management : JRFM 1 U.S.E. Working Papers Series 1
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Source
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ECONIS (ZBW) 11 RePEc 6 EconStor 2 Other ZBW resources 2
Showing 1 - 10 of 21
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Using Markov chains to detect careless responding in survey research
Biemann, Torsten; Koch, Irmela; Meier-Barthold, Madleen; … - In: Organizational research methods : ORM 28 (2025) 4, pp. 543-568
Persistent link: https://www.econbiz.de/10015574768
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The impact of intellectual capital on dynamic innovation performance: An overview of research methodology
Ali, Mostafa A.; Hussin, Nazimah; Haddad, Hossam; … - In: Journal of Risk and Financial Management 15 (2022) 10, pp. 1-28
piloting the method throughout an experimental context. The procedures of data collection and data cleaning had been presented …
Persistent link: https://www.econbiz.de/10014332655
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The impact of intellectual capital on dynamic innovation performance : an overview of research methodology
Ali, Mostafa A.; Nazimah Hussin; Haddad, Hossam; … - In: Journal of risk and financial management : JRFM 15 (2022) 10, pp. 1-28
piloting the method throughout an experimental context. The procedures of data collection and data cleaning had been presented …
Persistent link: https://www.econbiz.de/10013471381
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A constrained factor mixture model for detecting careless responses that is simple to implement
Kam, Chester Chun Seng; Cheung, Shu-Fai - In: Organizational research methods : ORM 27 (2024) 3, pp. 443-476
Persistent link: https://www.econbiz.de/10015056555
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From Dirty Data to Tidy Facts: Clustering Practices in Plant Phenomics and Business Cycle Analysis
Boumans, Marcel J.; Leonelli, Sabina - 2019
and natural sciences. At the same time, the comparison points to differences and similarities between data cleaning …
Persistent link: https://www.econbiz.de/10015435113
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Vendor master data cleaning : a project for accounting class
Gantman, Sonia; Metzger, Lorrie - In: Journal of emerging technologies in Accounting 19 (2022) 1, pp. 165-171
Persistent link: https://www.econbiz.de/10014308869
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An innovative big data framework for exploring the impact on decision-making in the European Mediterranean healthcare sector
El Samad, Mahmoud; El Nemar, Sam; Sakka, Georgia; … - In: EuroMed journal of business 17 (2022) 3, pp. 312-332
Persistent link: https://www.econbiz.de/10013362470
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IntelliClean : a teaching case designed to integrate data cleaning and spreadsheet skills into the audit curriculum
Hunter, Kara; Alberti, Cristina Thomas; Boss, Scott R.; … - In: Journal of emerging technologies in Accounting 17 (2020) 2, pp. 17-24
Persistent link: https://www.econbiz.de/10014308065
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Note on Data Cleaning and Panel Data Development of Indonesian Manufacturing Survey Data
Armundito, Erik; Kaneko, Shinji - Graduate School for International Development and … - 2014
When the manufacturing sector plays a significant role in economic development, the demand for statistical data can only increase. Manufacturing data obtained from the annual Indonesian manufacturing survey from 1990 to 2010 cannot be used directly for analysis purposes due to data quality...
Persistent link: https://www.econbiz.de/10011266302
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Increasing the power of your study by increasing the effect size
Meyvis, Tom; Van Osselaer, Stijn M. J. - In: Journal of consumer research : JCR ; an … 44 (2018) 5, pp. 1157-1173
Persistent link: https://www.econbiz.de/10011844157
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