Blakeley B. McShane’s research while affiliated with Northwestern University and other places

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Publications (48)


Abandon statistical significance.
  • Chapter

January 2024

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49 Reads

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8 Citations

Blakeley B. McShane

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David Gal

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Andrew Gelman

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[...]

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EXPRESS: “Statistical Significance” and Statistical Reporting: Moving Beyond Binary

November 2023

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199 Reads

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29 Citations

Journal of Marketing

Null hypothesis significance testing (NHST) is the default approach to statistical analysis and reporting in marketing and the biomedical and social sciences more broadly. Despite its default role, NHST has long been criticized by both statisticians and applied researchers including those within marketing. Therefore, the authors propose a major transition in statistical analysis and reporting. Specifically, they propose moving beyond binary: abandoning NHST as the default approach to statistical analysis and reporting. To facilitate this, they briefly review some of the principal problems associated with NHST. They next discuss some principles that they believe should underlie statistical analysis and reporting. They then use these principles to motivate some guidelines for statistical analysis and reporting. They next provide some examples that illustrate statistical analysis and reporting that adheres to their principles and guidelines. They conclude with a brief discussion.


Meta-analysis: Assessing Heterogeneity Using Traditional and Contemporary Approaches

April 2023

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21 Reads

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1 Citation

In the last two years, consumers have experienced massive changes in consumption – whether due to shifts in habits; the changing information landscape; challenges to their identity, or new economic experiences of scarcity or abundance. What can we expect from these experiences? How are the world's leading thinkers applying both foundational knowledge and novel insights as we seek to understand consumer psychology in a constantly changing landscape? And how can informed readers both contribute to and evaluate our knowledge? This handbook offers a critical overview of both fundamental topics in consumer psychology and those that are of prominence in the contemporary marketplace, beginning with an examination of individual psychology and broadening to topics related to wider cultural and marketplace systems. The Cambridge Handbook of Consumer Psychology, 2nd edition, will act as a valuable guide for teachers and graduate and undergraduate students in psychology, marketing, management, economics, sociology, and anthropology.


Modeling and Learning From Variation and Covariation

January 2023

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29 Reads

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3 Citations


Multilevel multivariate meta-analysis made easy: An introduction to MLMVmeta

August 2022

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293 Reads

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7 Citations

Behavior Research Methods

The basic random effects meta-analytic model is overwhelmingly dominant in psychological research. Indeed, it is typically employed even when more complex multilevel multivariate meta-analytic models are warranted. In this paper, we aim to help overcome challenges so that multilevel multivariate meta-analytic models will be more often employed in practice. We do so by introducing MLMVmeta-an easy-to-use web application that implements multilevel multivariate meta-analytic methodology that is both specially tailored to contemporary psychological research and easily estimable, interpretable, and parsimonious-and illustrating it across three case studies. The three case studies demonstrate the more accurate and extensive results that can be obtained via multilevel multivariate meta-analytic models. Further, they sequentially build in complexity featuring increasing numbers of experimental factors and conditions, dependent variables, and levels; this in turn necessitates increasingly complex model specifications that also sequentially build upon one another.



Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability

March 2022

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148 Reads

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6 Citations

Over the last decade, large-scale replication projects across the biomedical and social sciences have reported relatively low replication rates. In these large-scale replication projects, replication has typically been evaluated based on a single replication study of some original study and dichotomously as successful or failed. However, evaluations of replicability that are based on a single study and are dichotomous are inadequate, and evaluations of replicability should instead be based on multiple studies, be continuous, and be multi-faceted. Further, such evaluations are in fact possible due to two characteristics shared by many large-scale replication projects. In this article, we provide such an evaluation for two prominent large-scale replication projects, one which replicated a phenomenon from cognitive psychology and another which replicated 13 phenomena from social psychology and behavioral economics. Our results indicate a very high degree of replicability in the former and a medium to low degree of replicability in the latter. They also suggest an unidentified covariate in each, namely ocular dominance in the former and political ideology in the latter, that is theoretically pertinent. We conclude by discussing evaluations of replicability at large, recommendations for future large-scale replication projects, and design-based model generalization. Supplementary materials for this article are available online.


Figure 1 . Unconscious Thought Theory Results. Point estimates are given by the squares for single-study estimates and the vertical bars for MCSM estimates; 50% and 95% confidence interval estimates are given by the thick and thin lines respectively. The average sample size per condition in each study is given by the size of the squares.
Figure 3 . Choice Overload Hypothesis MCSM Sensitivity Analysis. Point estimates are given by the vertical bars; 50% and 95% confidence interval estimates are given by the thick and thin lines respectively. Simple Effect 1 denotes the simple effect of assortment size when time pressure was absent; Simple Effect 2 denotes the simple effect of assortment size when time pressure was present; and Interaction Effect denotes the assortment size × time pressure interaction effect.
Figure 4 . Flexible Correction Model Results Ignoring Study-level Moderators. Point estimates are given by the squares for single-study estimates and the vertical bars for MCSM estimates; 50% and 95% confidence interval estimates are given by the thick and thin lines respectively. The average sample size per condition in each study is given by the size of the squares. Simple Effect 1 denotes the simple effect of the correction instruction when the source was likable; Simple Effect 2 denotes the simple effect of the correction instruction when the source was unlikable; and Interaction Effect denotes the source × correction instructions interaction effect.
Figure 6 . Three Study Scenarios. The means of the dependent measure in each condition of each study are given by the points.
Unconscious Thought Theory Study Summary Information.

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Meta‐analysis of Studies with Multiple Contrasts and Differences in Measurement Scales
  • Article
  • Full-text available

March 2021

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274 Reads

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18 Citations

Journal of Consumer Psychology

The common approach to meta‐analysis is overwhelmingly dominant in practice but suffers from a major limitation: it is suitable for analyzing only a single effect of interest. However, contemporary psychological research studies—and thus meta‐analyses of them—typically feature multiple dependent effects of interest. In this paper, we introduce novel meta‐analytic methodology that (i) accommodates an arbitrary number of effects—specifically, contrasts of means—and (ii) yields results in standard deviation units in order to adjust for differences in the measurement scales used for the dependent measure across studies. Importantly, when all studies follow the same two‐condition study design and interest centers on the simple contrast between the two conditions as measured on the Cohen’s d scale, our approach is equivalent to the common approach. Consequently, our approach generalizes the common approach to accommodate an arbitrary number of contrasts. As we illustrate and elaborate on across three extensive case studies, our approach has several advantages relative to the common approach. To facilitate the use of our approach, we provide a website that implements it.

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Graphical framework for network-choice models
Choices in networks: a research framework

December 2020

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113 Reads

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9 Citations

Marketing Letters

Networks are ubiquitous in life, structuring options available for choice and influencing their relative attractiveness. In this article, we propose an integration of network science and choice theory beyond merely incorporating metrics from one area into models of the other. We posit a typology and framework for “network-choice models” that highlight the distinct ways choices occur in and influence networked environments, as well as two specific feedback processes that guide their mutual interaction, emergent valuation and contingent options. In so doing, we discuss examples, data sources, methodological challenges, anticipated benefits, and research pathways to fully interweave network and choice models.



Citations (41)


... Finally, over-interpretation of arbitrary thresholds like 0.05 have also led to phacking (selective reporting) to achieve significant results. This has led to many calls for reform (5)(6)(7)(8)(9)(10)(11)(12) and to address this issue, multiple researchers have either proposed a shift in the language used (13)(14)(15), a shift in the scale used to introduce and interpret p values (16), or even a retirement of statistical significance altogether (17,18). ...

Reference:

From Significance to Divergence: Guiding Statistical Interpretation Through Language
Abandon statistical significance.
  • Citing Chapter
  • January 2024

... For the latter, the larger the volume of data, the better the representation of reality; but then complexity and management costs increase, and scholars may need to make compromises. That is why researchers resort to sampling and measurement error, with the consequent effects on variance (McShane et al., 2024;McShane & Bockenholt, 2016). Overall, while bias results from an incomplete representation of the true data-generating mechanism by a model because of simplifying assumptions, variance results from random variation in the data due to sampling and measurement error (Wedel & Kannan, 2016, p. 104). ...

EXPRESS: “Statistical Significance” and Statistical Reporting: Moving Beyond Binary
  • Citing Article
  • November 2023

Journal of Marketing

... Heterogeneity and meta-analysis in replicability. Multi-site replication projects have been used to examine the heterogeneity in effect estimates across sites (Klein et al., 2018;Coppock et al., 2018;McShane et al., 2022;Delios et al., 2022;Holzmeister et al., 2024). A prominent distinction is that these works often measure certain global notions of heterogeneity via meta-analysis (McShane et al., 2022), while we focus on generalization from one site to another. ...

Modeling and Learning From Variation and Covariation
  • Citing Article
  • January 2023

... This is of particular importance, as mentioned above, given the small number of studies in certain subgroups when techniques are divided by timepoint. Lastly, we preregistered that we would perform three-level multilevel meta-analyses for each outcome individually, instead of conducting multivariate analyses 91 . Multivariate analyses could be advantageous as it allows researchers to examine various types of outcome (for example, intrusion frequency, distress and symptoms) in a single analysis, accounting Nature Human Behaviour Article https://doi.org/10.1038/s41562-024-01956-y ...

Multilevel multivariate meta-analysis made easy: An introduction to MLMVmeta
  • Citing Article
  • August 2022

Behavior Research Methods

... Moreover, there were no instances in which non-normality and/or heteroscedasticity in measures of root length intensity or other continuous metrics were addressed except by a transformation. That the resulting estimates and standard errors were often reported on the transformed scale suggests that, although transformation bias is of minimal concern, researchers may be giving insufficient attention to estimates, and their interpretation, relative to test statistics and p-values: statistical significance taking precedence over biological importance (McShane & Gelman, 2022). In two-thirds of these cases, the measurements were log transformed, and in a few cases a small constant was added either to all values or to zero values prior to transformation. ...

Selecting on statistical significance and practical importance is wrong
  • Citing Article
  • April 2022

Journal of Information Technology

... Replicability need not be narrowly defined as the probability of rejecting H 0 in the same direction over replication studies. There are other productive definitions of replication that are not based on power (e.g., Braver, Thoemmes, & Rosenthal, 2014;Kenny & Judd, 2019;Hedges & Schauer, 2019b;Hung & Fithian, 2020;Maxwell et al., 2015;Open Science Collaboration, 2015;Patil et al., 2016;Mathur & VanderWeele, 2019;McShane et al., 2022). Additionally, S. F. Anderson and Maxwell (2016) describe and review different replication goals that can be achieved with different analyses, focusing on information generated from replication studies that can reduce un-certainty about studied effects (see also Schmidt, 1996). ...

Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability
  • Citing Article
  • March 2022

... A P-curve analysis(Simonsohn, Nelson and Simmons 2014) shows that both conditions for the full p-curve and half p-curve are met, indicating evidential value across our studies. We also conducted a single-paper metaanalysis using the method prescribed byMcShane and Böckenholt (2022). The meta-analysis included all studies reported in the main text, replication studies, file drawer studies, pilot tests, and stimuli calibration tests (k = 33). ...

Meta‐analysis of Studies with Multiple Contrasts and Differences in Measurement Scales

Journal of Consumer Psychology

... One of the crucial aspects of human decision making is that, as fundamentally social creatures, our preferences are strongly influenced by our social context. Viral trends, conformity, word-of-mouth, and signaling all play roles in behavior, including choices (Feinberg et al., 2020;Axsen & Kurani, 2012). Additionally, people with similar preferences, beliefs, and identities are more likely to be friends in the first place, a phenomenon known as homophily (McPherson et al., 2001). ...

Choices in networks: a research framework

Marketing Letters

... Its levels are positively correlated with a range of cognitive states and behaviors that aid success in competitive situations and conflict. These states and behaviors include implicit power motivation, reduced sensitivity to threat, risk-taking, intuitive (rather than deliberative) and 'hawkish' decision-making, overconfidence, persistence, motivational drive, fearlessness, stress resilience, willingness to enter competitive interactions, and conspicuous consumption to increase perceived status-as evidenced in studies measuring endogenous T levels or natural T reactivity (Apicella et al., 2008;Carré and McCormick, 2008;Coates et al., 2009;Coates et al., 2010;Johnson et al., 2006;Mehta et al., 2017;Mehta and Josephs, 2006;Schultheiss et al., 2004;Schultheiss et al., 2005;Stanton and Schultheiss, 2009;Wu et al., 2017) or using exogenous T administration (Apicella et al., 2015;Hermans et al., 2006;Hermans et al., 2007;Knight et al., 2020;Nave et al., 2017Nave et al., , 2018. ...

Weak and Variable Effects of Exogenous Testosterone on Cognitive Reflection Test Performance in Three Experiments: Commentary on Nave, Nadler, Zava, and Camerer (2017)
  • Citing Article
  • June 2020

Psychological Science

... In line with this latter conclusion, we have repeatedly demonstrated that perceiving or even processing the magnitude of centrally presented Arabic numbers (Pinto et al., 2018;Fattorini, Pinto, Merola, D'Onofrio, & Doricchi, 2016;Fattorini, Pinto, Rotondaro, & Doricchi, 2015; see also Zanolie & Pecher, 2014) or numerosities without using spatial response codes does not trigger directionally corresponding shifts of spatial attention, for example, perceiving or classifying a number or numerosity as lower than 5 does not shift attention to the left. These negative results were confirmed by a subsequent massive replication study involving 17 different laboratories (Colling et al., 2020) that, in line with our findings, provided no evidence for the presence of the attentional SNARC effect originally described by Fischer and colleagues (2003). ...

Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)
  • Citing Article
  • June 2020

Advances in Methods and Practices in Psychological Science