Explanipedia

Are measures of voice hearing distinct from measures of emotional states, recovery and well-being? A factor analysis study Open

Sofia Loizou, Andy P. Field, David Fowler, Mark Hayward · 2025

Background Conceptually, there may be some overlap between measures of voice hearing experiences and measures assessing broader outcome domains. Despite this possibility, it is unknown whether measures of voice hearing and broader outcomes…

Robust statistical methods and the credibility movement of psychological science Open

Martina Sladekova, Andy P. Field · 2025

The general linear model (GLM) is the most frequently applied family of statistical models in psychology. Within the GLM, the effects under study are estimated using the ordinary least squares (OLS) estimation. In certain situations, OLS p…

Robust Statistical Methods and the Credibility Movement of Psychological Science Open

Martina Sladekova, Andy P. Field · 2025

The general linear model (GLM) is the most frequently applied family of statistical models in psychology. Within the GLM, the effects under study are estimated using the ordinary least squares (OLS) estimation, which produces unbiased and …

Introducing the Choice-Confidence (CHOCO) Model for Bimodal Data from Subjective Ratings: Application to the Effect of Attractiveness on Reality Beliefs about AI-Generated Faces Open

Dominique Makowski, Ana Neves, Andy P. Field · 2025

Psychology Computer science

We introduce the Choice-Confidence (CHOCO) model as a tool to dissect the cognitive mechanisms underlying decision-making judgments, offering a better fit for data from subjective rating scales for which the two extremes correspond to disc…

Commonly Used Statistical Models in Psychology are Not Equipped to Deal with Real-World Conditions: A Simulation Open

Martina Sladekova, Andy P. Field · 2025

Psychology Computer science Economics

Ordinary Least Square (OLS) linear models produce non-optimal parameter estimates and biased hypothesis tests when their statistical assumptions are violated. In a recent study, we mapped out the extent to which OLS models in psychology me…

The impact of interventions for depression on self-perceptions in young people: A systematic review & meta-analysis Open

Reginald L. Dean, Kathryn J. Lester, E Grant, Andy P. Field, Faith Orchard , et al. · 2024

Psychology Medicine Economics

Negative self-perceptions are implicated in the development and maintenance of depression in young people, but little is known about their receptiveness to change in response to treatment. This paper reports on a pre-registered meta-analys…

The Development and Piloting of an Early Youth‐Engagement (<span>EYE</span>) Model to Improve Engagement of Young People in First Episode Psychosis Services: A Mixed Methods Study Open

Kathryn Greenwood, Ruth Chandler, Kirsty Labuschagne, Emmanuelle Peters, Katie Alford , et al. · 2024

Psychology Medicine Business

Aim Psychosis is associated with significant health and societal costs. Early intervention in psychosis services (EIP) are highly effective in promoting recovery, yet substantial proportions of young people disengage. The current study aim…

Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication of Turri et al. (2015) Open

Braeden Hall, Kathleen Schmidt, Jordan Wagge, Savannah C Lewis, Sophia Christin Weißgerber , et al. · 2024

Psychology Philosophy

According to the justified true belief (JTB) account of knowledge, people can truly know something only if they have a belief that is both justified and true (i.e., knowledge is JTB). This account was challenged by Gettier, who argued that…

Robust Statistical Methods and the Credibility Movement of Psychological Science Open

Martina Sladekova, Andy P. Field · 2024

Computer science Mathematics

The general linear model (GLM) is the most frequently applied family of statistical models in psychology. Within the GLM, the effects under study are estimated using the ordinary least squares (OLS) estimation, which produces unbiased and …

In Search of Unicorns: Assessing Statistical Assumptions in Real Psychology Datasets Open

Martina Sladekova, Andy P. Field · 2024

Mathematics Geography Economics

There are many statistical metrics that can affect the performance of ordinary least squares models (OLS), including model design, sample size, and the extent to which statistical assumptions are violated. Previous studies summarising the …

Commonly Used Statistical Models in Psychology are Not Equipped to Deal with Real-World Conditions: A Simulation Open

Martina Sladekova, Andy P. Field · 2024

Mathematics Computer science

Ordinary Least Square (OLS) linear models produce non-optimal parameter estimates and biased hypothesis tests when their statistical assumptions are violated. In a recent study, we mapped out the extent to which OLS models in psychology me…

Psychology Researchers' Self-Reported Knowledge of Sources of Bias in General Linear Models and How it Affects Their Analytic Practice Open

Martina Sladekova, Andy P. Field · 2024

Psychology Mathematics Philosophy

General Linear Models (GLM) are commonly employed in psychology research. GLMs require a number of conditions to be met in order to provide unbiased and optimal parameter estimation and hypothesis tests. These conditions include adherence …

Quantifying Heteroscedasticity in Linear Models Using Quantile LOWESS Intervals Open

Martina Sladekova, Andy P. Field · 2024

Mathematics

Ordinary Least Squares (OLS) estimation, which is frequently applied in psychology, assumes constant variance of errors across predictor levels. This assumption is known as homoscedasticity, while its violation is referred to as heterosced…

Sources of Bias in General Linear Models: Evaluating the Analytic Practice in Psychological Research Open

Martina Sladekova, Veronika L. Poupa, Andy P. Field · 2024

Psychology Computer science Mathematics

Unbiased estimation and hypothesis testing in General Linear Models requires several conditions to be met, such as adherence to statistical assumptions and absence of influential data points. This study examined the extent to which researc…

A Systematic Review of Theories Explaining the Relationship between Statistics Anxiety and Statistical Literacy Open

Jenny Terry, Andy P. Field · 2024

Psychology Mathematics Computer science

Despite a negligible aggregate effect size, there is a prevailing narrative that statistics anxiety has a detrimental effect on statistics literacy. Without a cohesive theoretical framework, it is difficult to investigate variables that mi…

Meta-Analysis Shows Trauma Memories in Posttraumatic Stress Disorder Lack Coherence: A Response to Taylor et al. (2022) Open

Chris R. Brewin, Andy P. Field · 2024

Psychology Physics

Taylor et al. reported that in healthy participants, memories of traumatic and comparison films did not differ in coherence. The lack of a group diagnosed with posttraumatic stress disorder (PTSD) and limitations of the trauma-film paradig…

Recommendation: Developing knowledge-based psychotherapeutic competencies in non-specialist providers: A pre-post study with a nested randomised controlled trial of a coach-supported versus self-guided digital training course for a problem-solving psychological intervention in India — R2/PR11 Open