Fiona Fidler
Biographic Data
| ID | 1835574 |
|---|---|
| NAME | Fiona Fidler |
| GIVEN NAMES | Fiona |
| FAMILY NAME | Fidler |
| SIGNATURE | FIDLER F |
| AFFILIATIONS | The University of Melbourne |
| ORCID | 0000-0002-2700-2562 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 110 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Predicting the replicability of social and behavioural science claims in Covid-19 preprints
Replications are important for assessing the reliability of published findings. However, they are costly, and it is infeasible to replicate everything. Accurate, fast, lower-cost alternatives such as eliciting predictions could accelerate assessment for rapid policy implementation in a crisis and help guide a more efficient allocation of scarce replication resources. We elicited judgements from participants on 100 claims from preprints about an e…
Replicability, Robustness, and Reproducibility in Psychological Science
Replication—an important, uncommon, and misunderstood practice—is gaining appreciation in psychology. Achieving replicability is important for making research progress. If findings are not replicable, then prediction and theory development are stifled. If findings are replicable, then interrogation of their meaning and validity can advance knowledge. Assessing replicability can be productive for generating and testing hypotheses by actively confr…
Messaging matters
Decline of ‘biodiversity’ in conservation policy discourse in Australia
Market-based instruments along with conceptualizing the environment as a collection of ‘ecosystem services’ has become increasingly common within environmental and conservation policy. This kind of thinking is also increasingly prominent in the public discourse surrounding environment and conservation policy, particularly in the context of communicating the importance of policy measures. Language used in public discourse can have a powerful influ…
Redefine statistical significance
Framing the private land conservation conversation
Effect Size Estimation and Confidence Intervals
We describe a six-step estimation framework for research that starts with the formulation of research goals in terms of “How much?” questions. Such questions are best answered by effect size (ES) estimates and confidence intervals (CIs) calculated from data, where the ESs estimates and CIs are point and interval estimates of population parameters. These estimates usually provide the best basis for the interpretation of research findings. Such an …
Reducing Overconfidence in the Interval Judgments of Experts
Elicitation of expert opinion is important for risk analysis when only limited data are available. Expert opinion is often elicited in the form of subjective confidence intervals; however, these are prone to substantial overconfidence. We investigated the influence of elicitation question format, in particular the number of steps in the elicitation procedure. In a 3-point elicitation procedure, an expert is asked for a lower limit, upper limit, a…
The Fifth edition of the Apa Publication Manual
The fifth edition of the Publication Manual of the American Psychological Association (APA) draws on recommendations for improving statistical practices made by the APA Task Force on Statistical Inference (TFSI). The manual now acknowledges the controversy over null hypothesis significance testing (NHST) and includes both a stronger recommendation to report effect sizes and a new recommendation to report confidence intervals. Drawing on interview…
Computing Correct Confidence Intervals for Anova Fixed-and Random-Effects Effect Sizes
Most textbooks explain how to compute confidence intervals for means, correlation coefficients, and other statistics using “central” test distributions (e.g., t, F) that are appropriate for such statistics. However, few textbooks explain how to use “noncentral” test distributions (e.g., noncentral t, noncentral F) to evaluate power or to compute confidence intervals for effect sizes. This article illustrates the computation of confidence interval…
Computing Correct Confidence Intervals for Anova Fixed- and Random-Effects Effect Sizes
Redefine statistical significance
Framing the private land conservation conversation
Decline of ‘biodiversity’ in conservation policy discourse in Australia
Market-based instruments along with conceptualizing the environment as a collection of ‘ecosystem services’ has become increasingly common within environmental and conservation policy. This kind of thinking is also increasingly prominent in the public discourse surrounding environment and conservation policy, particularly in the context of communicating the importance of policy measures. Language used in public discourse can have a powerful influ…
Computing Correct Confidence Intervals for Anova Fixed-and Random-Effects Effect Sizes
Most textbooks explain how to compute confidence intervals for means, correlation coefficients, and other statistics using “central” test distributions (e.g., t, F) that are appropriate for such statistics. However, few textbooks explain how to use “noncentral” test distributions (e.g., noncentral t, noncentral F) to evaluate power or to compute confidence intervals for effect sizes. This article illustrates the computation of confidence interval…
Computing Correct Confidence Intervals for Anova Fixed- and Random-Effects Effect Sizes
The Fifth edition of the Apa Publication Manual
The fifth edition of the Publication Manual of the American Psychological Association (APA) draws on recommendations for improving statistical practices made by the APA Task Force on Statistical Inference (TFSI). The manual now acknowledges the controversy over null hypothesis significance testing (NHST) and includes both a stronger recommendation to report effect sizes and a new recommendation to report confidence intervals. Drawing on interview…
Reducing Overconfidence in the Interval Judgments of Experts
Elicitation of expert opinion is important for risk analysis when only limited data are available. Expert opinion is often elicited in the form of subjective confidence intervals; however, these are prone to substantial overconfidence. We investigated the influence of elicitation question format, in particular the number of steps in the elicitation procedure. In a 3-point elicitation procedure, an expert is asked for a lower limit, upper limit, a…
Effect Size Estimation and Confidence Intervals
We describe a six-step estimation framework for research that starts with the formulation of research goals in terms of “How much?” questions. Such questions are best answered by effect size (ES) estimates and confidence intervals (CIs) calculated from data, where the ESs estimates and CIs are point and interval estimates of population parameters. These estimates usually provide the best basis for the interpretation of research findings. Such an …
Framing the private land conservation conversation
Decline of ‘biodiversity’ in conservation policy discourse in Australia
Market-based instruments along with conceptualizing the environment as a collection of ‘ecosystem services’ has become increasingly common within environmental and conservation policy. This kind of thinking is also increasingly prominent in the public discourse surrounding environment and conservation policy, particularly in the context of communicating the importance of policy measures. Language used in public discourse can have a powerful influ…
Redefine statistical significance
Messaging matters
Replicability, Robustness, and Reproducibility in Psychological Science
Replication—an important, uncommon, and misunderstood practice—is gaining appreciation in psychology. Achieving replicability is important for making research progress. If findings are not replicable, then prediction and theory development are stifled. If findings are replicable, then interrogation of their meaning and validity can advance knowledge. Assessing replicability can be productive for generating and testing hypotheses by actively confr…
Predicting the replicability of social and behavioural science claims in Covid-19 preprints
Replications are important for assessing the reliability of published findings. However, they are costly, and it is infeasible to replicate everything. Accurate, fast, lower-cost alternatives such as eliciting predictions could accelerate assessment for rapid policy implementation in a crisis and help guide a more efficient allocation of scarce replication resources. We elicited judgements from participants on 100 claims from preprints about an e…
Mathematics (6 works) · Meta-analysis and systematic reviews (6 works) · Statistics (6 works) · Computer Science (5 works) · Confidence interval (5 works) · Psychology (5 works) · Economics (4 works) · Econometrics (3 works) · Geography (3 works) · Mental Health Research Topics (3 works)