About: Rating versus ranking: What is the best way to reduce response and language bias in cross-national research?

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description	article (en) ലേഖനം (ml) wetenschappelijk artikel (nl) наукова стаття, опублікована в серпні 2009 (uk) im August 2009 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q56461077-DFDB7068-52BF-4D54-B173-A1A1DA6FFFBE
publication date	2009-08-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q56461077-0CCA94BF-684C-4BE4-A5A5-21B0089B5C3F wds:Q56461077-0D03E8F5-4F5F-4712-8667-D09D912ACAA7 wds:Q56461077-10165696-2D15-4811-97B9-1D45EBB865AA wds:Q56461077-2DD0D3B2-32A3-4052-82D4-50BC054629D9 wds:Q56461077-41A4DA34-544B-40FA-B65E-1C7A9DA006C5 wds:Q56461077-49CAB593-FD12-4CEB-843C-43356AFCF960 wds:Q56461077-5EB9AE3C-3757-4ACD-8827-5FF74C508AAB wds:Q56461077-612DBD85-B5D7-41C5-AA92-71D69EF30A23 wds:Q56461077-78B5F99A-7467-440D-8430-49F0A75650BE wds:Q56461077-A288E612-D494-40D0-B0B5-92A7E7211481 wds:Q56461077-AE4A365F-FA5E-4C73-9C42-06DFC58E424E wds:Q56461077-B5DABB56-2BF5-4ADD-984C-B459C54E3D23 wds:Q56461077-C60A4532-563F-4ABE-B327-902A5BF96E8B wds:Q56461077-CE7A9DCA-F46D-4946-9A34-1729ADCB3F58 wds:Q56461077-E416F50A-245E-4CF3-8D64-E3A0DAD8225F wds:Q56461077-EB1019D6-03D0-4C9A-98DB-326FE1C2D416 wds:Q56461077-F63D5215-CD52-4D78-A083-ADA8A870A2EB wds:Q56461077-F73125D2-713F-413B-83FE-C679B79D8A36 wds:Q56461077-FF0D9DAC-8E3A-47EC-A5E9-5E24FE897D1B
author name string	Rita Ferreira Ayse Saka-Helmhout Anne Canabal Lena Zander Ananda Kumar Palaniappan Audra Mockaitis Kathrin Koester Cordula Barzantny Wilhelm Barner-Rasmussen Barbara Myloni Alvaro Espejo Ayda Uzuncarsili Soydas Joseph O.T. Odusanya Joyce Baldueza Linda Viswat Paulo Prochno Sharon Leiba O'Sullivan Srabani Roy Choudhury Yung-Kuei Liang
rdfs:label	Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (en) Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (nl)
skos:prefLabel	Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (en) Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (nl)
name	Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (en) Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (nl)
author	wds:Q56461077-14567A84-E740-46AF-BA63-B3AF50F7DE11 wds:Q56461077-15F04992-EEEC-4D72-9F1A-4028AA05F9E0 wds:Q56461077-71161B4E-DDE2-4AFC-933E-0F0F49153A35 wds:Q56461077-CE4D91F9-7002-4DBF-9164-3A309FCD8946 wds:Q56461077-D50AF9BF-B830-46C0-98C4-A53EB289A5C9
author	Anabella Davila Michael J. Morley Sununta Siengthai Anne-Wil Harzing Axele Giroud
title	wds:Q56461077-591A9C6C-CA3A-4927-A04A-7F401E3A1BD1
title	Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (en)
page(s)	wds:Q56461077-2DCE1085-8B44-4B49-AFAA-A19D6BF45C2A
page(s)	417-432
instance of	wds:Q56461077-ADAD276B-45AA-4D5C-BA6A-4E7BA16F28F7
instance of	scholarly article
main subject	wds:Q56461077-64C0A1C7-EF1A-450D-95A6-AE44E5C8EF48
main subject	bias
published in	wds:Q56461077-043274C0-7075-444E-83AB-E8ECF20ACED4
published in	International Business Review
issue	wds:Q56461077-03898184-8283-4E9E-9D03-A608D18C3865
volume	wds:Q56461077-5CDEBA84-01EC-4E74-8A5D-576D76B844B8
issue	4
volume	18
DOI	wds:Q56461077-2D7E78AA-FEAB-4C6F-9C9B-26B651D4CB4C
DOI	http://dx.doi.org/10.1016/J.IBUSREV.2009.03.001
DOI	10.1016/J.IBUSREV.2009.03.001
ResearchGate publication ID	wds:Q56461077-F4D266FC-7C0E-4464-9BC2-5B0DD63E4EE4
ResearchGate publication ID	222943171
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56461077
is cites work of	Hablas vielleicht un peu la mia language?A comprehensive overview of the role of language differences in headquarters–subsidiary communication Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on DIF Detection in Likert-Type Scales. Response Style Differences in Cross-National Research The Motivational Value Systems Questionnaire (MVSQ): Psychometric Analysis Using a Forced Choice Thurstonian IRT Model
is cites work of	wds:Q56460809-1D38D19E-7DED-4862-91CD-5674FF9AC424 wds:Q56460928-F8AC750D-E591-4FD1-8A24-0B50ACEF73B6 wds:Q38665589-E551D612-04AC-476A-BCEE-21BE344A7F76 wds:Q41877297-F1E515E0-FF04-41EE-8427-46B071B64754

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