Andrew Brand
Biographic Data
| ID | 5854927 |
|---|---|
| NAME | Andrew Brand |
| GIVEN NAMES | Andrew |
| FAMILY NAME | Brand |
| SIGNATURE | BRAND A |
| AFFILIATIONS | Bangor University |
| ORCID | 0000-0002-6942-0404 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Neighbourhood belonging, social cohesion, and mental wellbeing of children and parents in an ethnically diverse community sample in England
Neighbourhood cohesion is considered an important and modifiable determinant of mental health that interacts with factors such as deprivation and ethnicity in complex ways. UK studies adequately representing ethnic minority groups are however scarce. We examined associations between neighbourhood belonging, social cohesion, and mental wellbeing of children and parents in an ethnically diverse community sample in England. We analysed cross-section…
Evaluating the effectiveness and cost effectiveness of the ‘strengthening families, strengthening communities’ group-based parenting programme
Prospectively registered Randomised Controlled Trial ISRCTN15194500
Out with .05, in with Replication and Measurement
It is difficult to obtain adequate power to test a small effect size with a set criterion alpha of 0.05. Probably an inferential test will indicate non-statistical significance and not be published. Rarely, statistical significance will be obtained, and an exaggerated effect size calculated and reported. Accepting all inferential probabilities and associated effect sizes could solve exaggeration problems. Graphs, generated through Monte Carlo met…
Significance Testing Needs a Taxonomy
Accurate measurement and a cutoff probability with inferential statistics are not wholly compatible. Fisher understood this when he developed the F test to deal with measurement variability and to make judgments on manipulations that may be worth further study. Neyman and Pearson focused on modeled distributions whose parameters were highly determined and concluded that inferential judgments following an F test could be made with accuracy because…
The Precision of Effect Size Estimation From Published Psychological Research
Confidence interval ( CI) widths were calculated for reported Cohen's d standardized effect sizes and examined in two automated surveys of published psychological literature. The first survey reviewed 1,902 articles from Psychological Science. The second survey reviewed a total of 5,169 articles from across the following four APA journals: Journal of Abnormal Psychology, Journal of Applied Psychology, Journal of Experimental Psychology: Human Per…
Sweeping recommendations regarding effect size and sample size can miss important nuances
Statistical significance tests done with low statistical power levels can result in reports of exaggerated effect sizes. Funnel graphs can show these exaggerations for a given area of research by revealing a negative correlation between a study’s sample size on the y -axis and the effect size obtain by the study on the x -axis. A recent paper by Fritz, Scherndl, and Kühberger (2013) recommended that effect sizes should not be reported when there …
Alpha Values as a Function of Sample Size, Effect Size, and Power
Alpha Values as a Function of Sample Size, Effect Size, and Power
Tables of alpha values as a function of sample size, effect size, and desired power were presented. The tables indicated expected alphas for small, medium, and large effect sizes given a variety of sample sizes. It was evident that sample sizes for most psychological studies are adequate for large effect sizes defined at .8. The typical alpha level of .05 and desired power of 90% can be achieved with 70 participants in two groups. It was perhaps …
More Voodoo Correlations
A Monte-Carlo simulation was conducted to assess the extent that a correlation estimate can be inflated when an average-based measure is used in a commonly employed correlational design. The results from the simulation reveal that the inflation of the correlation estimate can be substantial, up to 76%. Additionally, data was re-analyzed from two previously published studies to determine the extent that the correlation estimate was inflated due to…
Assessing the Effects of Technical Variance on the Statistical Outcomes of Web Experiments Measuring Response Times
A simulation was conducted to assess the effect of technical variance on the statistical power of web experiments measuring response times. The results of the simulation showed that technical variance reduced the statistical power and the accuracy of the effect size estimate by a negligible magnitude. This finding therefore suggests that researchers’ preconceptions concerning the unsuitability of web experiments for conducting research using resp…
Accuracy of Effect Size Estimates From Published Psychological Experiments Involving Multiple Trials
The reporting of exaggerated effect size estimates may occur either through researchers accepting statistically significant results when power is inadequate and/or from repeated measures approaches aggregating, averaging multiple items, or multiple trials. Monte-Carlo simulations with input of a small, medium, or large effect size were conducted on multiple items or trials that were either averaged or aggregated to create a single dependent measu…
Multiple Trials May Yield Exaggerated Effect Size Estimates
Published psychological research attempting to support the existence of small and medium effect sizes may not have enough participants to do so accurately, and thus, repeated trials or the use of multiple items may be used in an attempt to obtain significance. Through a series of Monte-Carlo simulations, this article describes the results of multiple trials or items on effect size estimates when the averages and aggregates of a dependent measure …
A comparison of the standard and the computerized versions of the Well-being Questionnaire (WBQ) and the Diabetes Treatment Satisfaction Questionnaire (DTSQ)
More Voodoo Correlations
A Monte-Carlo simulation was conducted to assess the extent that a correlation estimate can be inflated when an average-based measure is used in a commonly employed correlational design. The results from the simulation reveal that the inflation of the correlation estimate can be substantial, up to 76%. Additionally, data was re-analyzed from two previously published studies to determine the extent that the correlation estimate was inflated due to…
Multiple Trials May Yield Exaggerated Effect Size Estimates
Published psychological research attempting to support the existence of small and medium effect sizes may not have enough participants to do so accurately, and thus, repeated trials or the use of multiple items may be used in an attempt to obtain significance. Through a series of Monte-Carlo simulations, this article describes the results of multiple trials or items on effect size estimates when the averages and aggregates of a dependent measure …
Accuracy of Effect Size Estimates From Published Psychological Experiments Involving Multiple Trials
The reporting of exaggerated effect size estimates may occur either through researchers accepting statistically significant results when power is inadequate and/or from repeated measures approaches aggregating, averaging multiple items, or multiple trials. Monte-Carlo simulations with input of a small, medium, or large effect size were conducted on multiple items or trials that were either averaged or aggregated to create a single dependent measu…
A comparison of the standard and the computerized versions of the Well-being Questionnaire (WBQ) and the Diabetes Treatment Satisfaction Questionnaire (DTSQ)
Multiple Trials May Yield Exaggerated Effect Size Estimates
Published psychological research attempting to support the existence of small and medium effect sizes may not have enough participants to do so accurately, and thus, repeated trials or the use of multiple items may be used in an attempt to obtain significance. Through a series of Monte-Carlo simulations, this article describes the results of multiple trials or items on effect size estimates when the averages and aggregates of a dependent measure …
Assessing the Effects of Technical Variance on the Statistical Outcomes of Web Experiments Measuring Response Times
A simulation was conducted to assess the effect of technical variance on the statistical power of web experiments measuring response times. The results of the simulation showed that technical variance reduced the statistical power and the accuracy of the effect size estimate by a negligible magnitude. This finding therefore suggests that researchers’ preconceptions concerning the unsuitability of web experiments for conducting research using resp…
Accuracy of Effect Size Estimates From Published Psychological Experiments Involving Multiple Trials
The reporting of exaggerated effect size estimates may occur either through researchers accepting statistically significant results when power is inadequate and/or from repeated measures approaches aggregating, averaging multiple items, or multiple trials. Monte-Carlo simulations with input of a small, medium, or large effect size were conducted on multiple items or trials that were either averaged or aggregated to create a single dependent measu…
More Voodoo Correlations
A Monte-Carlo simulation was conducted to assess the extent that a correlation estimate can be inflated when an average-based measure is used in a commonly employed correlational design. The results from the simulation reveal that the inflation of the correlation estimate can be substantial, up to 76%. Additionally, data was re-analyzed from two previously published studies to determine the extent that the correlation estimate was inflated due to…
Sweeping recommendations regarding effect size and sample size can miss important nuances
Statistical significance tests done with low statistical power levels can result in reports of exaggerated effect sizes. Funnel graphs can show these exaggerations for a given area of research by revealing a negative correlation between a study’s sample size on the y -axis and the effect size obtain by the study on the x -axis. A recent paper by Fritz, Scherndl, and Kühberger (2013) recommended that effect sizes should not be reported when there …
Alpha Values as a Function of Sample Size, Effect Size, and Power
Alpha Values as a Function of Sample Size, Effect Size, and Power
Tables of alpha values as a function of sample size, effect size, and desired power were presented. The tables indicated expected alphas for small, medium, and large effect sizes given a variety of sample sizes. It was evident that sample sizes for most psychological studies are adequate for large effect sizes defined at .8. The typical alpha level of .05 and desired power of 90% can be achieved with 70 participants in two groups. It was perhaps …
Significance Testing Needs a Taxonomy
Accurate measurement and a cutoff probability with inferential statistics are not wholly compatible. Fisher understood this when he developed the F test to deal with measurement variability and to make judgments on manipulations that may be worth further study. Neyman and Pearson focused on modeled distributions whose parameters were highly determined and concluded that inferential judgments following an F test could be made with accuracy because…
The Precision of Effect Size Estimation From Published Psychological Research
Confidence interval ( CI) widths were calculated for reported Cohen's d standardized effect sizes and examined in two automated surveys of published psychological literature. The first survey reviewed 1,902 articles from Psychological Science. The second survey reviewed a total of 5,169 articles from across the following four APA journals: Journal of Abnormal Psychology, Journal of Applied Psychology, Journal of Experimental Psychology: Human Per…
Out with .05, in with Replication and Measurement
It is difficult to obtain adequate power to test a small effect size with a set criterion alpha of 0.05. Probably an inferential test will indicate non-statistical significance and not be published. Rarely, statistical significance will be obtained, and an exaggerated effect size calculated and reported. Accepting all inferential probabilities and associated effect sizes could solve exaggeration problems. Graphs, generated through Monte Carlo met…
Evaluating the effectiveness and cost effectiveness of the ‘strengthening families, strengthening communities’ group-based parenting programme
Prospectively registered Randomised Controlled Trial ISRCTN15194500
Neighbourhood belonging, social cohesion, and mental wellbeing of children and parents in an ethnically diverse community sample in England
Neighbourhood cohesion is considered an important and modifiable determinant of mental health that interacts with factors such as deprivation and ethnicity in complex ways. UK studies adequately representing ethnic minority groups are however scarce. We examined associations between neighbourhood belonging, social cohesion, and mental wellbeing of children and parents in an ethnically diverse community sample in England. We analysed cross-section…
Mathematics (11 works) · Statistics (11 works) · Psychology (8 works) · Econometrics (7 works) · Statistical power (6 works) · Meta-analysis and systematic reviews (5 works) · Sample size determination (5 works) · Behavioral Health and Interventions (4 works) · Computer Science (4 works) · Physics (4 works)