Anglia Ruskin Research Online (ARRO)
Browse
- No file added yet -

Challenging the New Orthodoxy: A Critique of SPLISS and Variable-Oriented Approaches to Comparing Sporting Nations

Download (171.03 kB)
journal contribution
posted on 2023-08-30, 16:54 authored by Ian Henry, Mathew Dowling, Brown Phil, Ling-Mei Ko
Research Question: In recent years the comparative sport policy field has become dominated by the ‘SPLISS’ approach developed by De Bosscher and colleagues. While this approach has developed important insights into the statistical relationship between key groups of independent variables and indicators of elite sport policy success, nevertheless its attempts to identify and explain both statistical association and causal relationships have significant limitations.The paper thus seeks to address the question of the nature of such strengths and limitations and their implications for theory, policy and practice. Methods: As a review paper it develops a critical evaluation of claims made for the SPLISS approach to variable oriented comparative policy analysis. Results: The paper identifies and focuses on the implications of six key problems for the SPLISS approach, namely: philosophical assumptions and causal variables; the black box problem; internal validity issues; non-equivalence and reliability; the neglect of agency; and misconceptions in the use of mixed methods. Implications: The paper’s findings represent a challenge to the hegemony of this variable-oriented approach and they argue not for replacement or rejection of such an approach, but for recognition of its limitations, and of the opportunities for complementing it with case-driven, qualitative analysis generating causal accounts of policy outcomes

History

Refereed

  • Yes

Volume

20

Issue number

4

Page range

520-536

Publication title

European Sport Management Quarterly

ISSN

1746-031X

Publisher

Taylor & Francis

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-01-27

Legacy creation date

2020-01-27

Legacy Faculty/School/Department

Faculty of Science & Engineering

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC