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Wiggles and Curves: The Analysis of Ordinal Patterns (Analiza Struktur Porzadkowych)

Author

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  • Warren Thorngate

    (Carleton University Ottawa, Ontario, Canada)

  • Chunyun Ma

    (Carleton University Ottawa, Ontario, Canada)

Abstract

Almost all social science data are analysed with variants of the General Linear Model (GLM): regression analyses, analyses of variance, factor analyses, path analyses and the like. However, many interesting and important social phenomena cannot be addressed with the GLM. Ordinal Pattern Analysis (OPA) was developed to examine such excluded phenomena. OPA is a goodness-of-fit procedure for calculating indices of how well a researcher's ordinal predictions match the ordinal properties of data at hand. While the GLM requires raw data to be aggregated across individuals or groups first before being analysed, OPA permits the reverse: Raw data from each individual or group can first be analysed, then aggregated. The reversal reveals what occurs "in general" rather than "on average" – two revelations that often diverge. We illustrate some uses of OPA with simple examples, and provide a computer programme for expediting OPA calculations.

Suggested Citation

  • Warren Thorngate & Chunyun Ma, 2016. "Wiggles and Curves: The Analysis of Ordinal Patterns (Analiza Struktur Porzadkowych)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(60), pages 160-172.
    • Handle: RePEc:sgm:pzwzuw:v:14:i:60:y:2016:p:160-172
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    References listed on IDEAS

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    1. Warren Thorngate & Bruce Edmonds, 2013. "Measuring Simulation-Observation Fit: An Introduction to Ordinal Pattern Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-4.
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    Cited by:

    1. Grazyna Wieczorkowska & Grzegorz Krol, 2016. "Ten Pitfalls of Research Practices in Management Science (Dziesiec pulapek badawczych w naukach o zarzadzaniu)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(60), pages 173-187.
    2. Grazyna Wieczorkowska & Grzegorz Krol & Jerzy Wierzbinski, 2016. "Four Methodological Threats in Management Science (Cztery metodologiczne zagrozenia w naukach o zarzadzaniu)," Research Reports, University of Warsaw, Faculty of Management, vol. 2(22), pages 146-156.

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    More about this item

    Keywords

    confounding; suppression; mediation; organization and management studies; European Social Survey;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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