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A conceptual and methodological framework for psychometric isomorphism : validation of multilevel construct measures

Tay, Louis; Woo, Sang Eun; Vermunt, Jeroen K. - In: Organizational research methods : ORM 17 (2014) 1, pp. 77-106

Persistent link: https://www.econbiz.de/10010253932

Advancing and evaluating IRT model data fit indices in organizational research

Nye, Christopher D.; Joo, Seang-Hwane; Zhang, Bo; … - In: Organizational research methods : ORM 23 (2020) 3, pp. 457-486

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Estimating subgroup differences in staffing research when the selection mechanism is unknown : a response to Li's Case IV correction

Fife, Dustin A.; Mendoza, Jorge; Day, Eric; Terry, Robert - In: Organizational research methods : ORM 23 (2020) 2, pp. 367-384

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Qualitative research in social sciences : data collection, data analysis and report writing

Bui Thanh Khoa; Bui, Hung Phu; Hejsalem-Brahmi, Mohsen - In: International journal of public sector performance … 12 (2023) 1/2, pp. 187-209

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On the use of balanced item parceling to counter acquiescence bias in structural equation models

Weijters, Bert; Baumgartner, Hans - In: Organizational research methods : ORM 25 (2022) 1, pp. 170-180

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Big data methods : leveraging modern data analytic techniques to build organizational science

Tonidandel, Scott; King, Eden B.; Cortina, Jose M. - In: Organizational research methods : ORM 21 (2018) 3, pp. 525-547

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Is quanititative research ethical? : tools for ethically practicing, evaluating, and using quantitative research

Zyphur, Michael J.; Pierides, Dean C. - In: Journal of business ethics : JOBE 143 (2017) 1, pp. 1-16

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Making quantitative research work : from positivist dogma to actual social scientific inquiry

Zyphur, Michael J.; Pierides, Dean C. - In: Journal of business ethics : JBE 167 (2020) 1, pp. 49-62

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Factors to consider when choosing data collection methods

Mwita, Kelvin M. - 2022

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A study on statistical methods used in six journals of library and information science

Zhang, Jin; Zhao, Yuehua; Wang, Yanyan - In: Online Information Review 40 (2016) 3, pp. 416-434

Purpose – Quantitative methods, especially statistical methods, play an increasingly important role in research of library and information science (LIS). For different journals, the uses of statistical methods vary substantially due to different journal scopes and aims. The purpose of this...

Persistent link: https://www.econbiz.de/10014966917