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<p>Druckman’s (2001; 2004) conceptual turning points framework offers a potential lens for understanding dynamic shifts in suspect cooperation during investigative interviews. However, its applicability to real-world police data remains promising yet untested. In the present study, we provide the first application and empirical examination of the Druckman turning points framework within the context of real-world investigative interviews. We examined a sample of 28 archival transcripts of interviews with suspects of sexual offenses to objectively identify precipitants of cooperation using text-based records. The analysis revealed a mismatch when applying the theoretical model to the data. First, a pronounced ceiling effect (97% of utterances coded as cooperative) was observed, suggesting that standard categorization may not be sufficient for capturing resistance in such data. Second, multiple regression analyses indicated a consistent ‘mirroring’ effect, whereby evidence presentation and rapport were significant predictors of both positive and negative turning points. This pattern suggests that these factors trigger a change in the interaction rather than consistently increasing or decreasing cooperation. We discuss the findings as methodological lessons (cf. predictive rules) and offer guidelines for future researchers regarding the necessity of event-level analysis, multi-modal data, and refined definitions of cooperation.</p>

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Adapting Druckman’s Turning Points Framework to Police Interviews: A Feasibility Study and Guide for Future Research

  • 期刊论文

  • 发表日期：

    2026年7月28日

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  • Valerie Arenzon,
  • Harper Chaisson,
  • Fiona Gabbert,
  • Christopher E.Kelly,
  • Kirk Luther

摘要

Druckman’s (2001; 2004) conceptual turning points framework offers a potential lens for understanding dynamic shifts in suspect cooperation during investigative interviews. However, its applicability to real-world police data remains promising yet untested. In the present study, we provide the first application and empirical examination of the Druckman turning points framework within the context of real-world investigative interviews. We examined a sample of 28 archival transcripts of interviews with suspects of sexual offenses to objectively identify precipitants of cooperation using text-based records. The analysis revealed a mismatch when applying the theoretical model to the data. First, a pronounced ceiling effect (97% of utterances coded as cooperative) was observed, suggesting that standard categorization may not be sufficient for capturing resistance in such data. Second, multiple regression analyses indicated a consistent ‘mirroring’ effect, whereby evidence presentation and rapport were significant predictors of both positive and negative turning points. This pattern suggests that these factors trigger a change in the interaction rather than consistently increasing or decreasing cooperation. We discuss the findings as methodological lessons (cf. predictive rules) and offer guidelines for future researchers regarding the necessity of event-level analysis, multi-modal data, and refined definitions of cooperation.