Roser Bono
Biographic Data
| ID | 7118489 |
|---|---|
| NAME | Roser Bono |
| GIVEN NAMES | Roser |
| FAMILY NAME | Bono |
| SIGNATURE | BONO R |
| AFFILIATIONS | Universitat de Barcelona |
| ORCID | 0000-0001-7991-6668 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Math anxiety and perfectionistic concerns in multiple-choice assessment
We examined the relationships between math anxiety, perfectionism and academic achievement in undergraduates enrolled in a course with high mathematical content. Participants were 251 students who completed math anxiety and perfectionism questionnaires, and whose academic achievement was measured via a multiple-choice examination. The number of hits, errors and unanswered questions on this examination were analyzed to explore the possible influen…
Non-normal data
BACKGROUND: The robustness of F-test to non-normality has been studied from the 1930s through to the present day. However, this extensive body of research has yielded contradictory results, there being evidence both for and against its robustness. This study provides a systematic examination of F-test robustness to violations of normality in terms of Type I error, considering a wide variety of distributions commonly found in the health and social…
Skewness and Kurtosis in Real Data Samples
Parametric statistics are based on the assumption of normality. Recent findings suggest that Type I error and power can be adversely affected when data are non-normal. This paper aims to assess the distributional shape of real data by examining the values of the third and fourth central moments as a measurement of skewness and kurtosis in small samples. The analysis concerned 693 distributions with a sample size ranging from 10 to 30. Measures of…
Autocorrelation Problems in Short Time Series
The work of Huitema (1985) on autocorrelation in behavioral data suggests that the use of conventional statistical methods is justified. The present study restates the problem of autocorrelation by analyzing 100 baselines of small samples designs published in the Journal of Applied Behavior Analysis during 1992. The results show a negative bias in the autocorrelations, especially with very small samples. The autocorrelation values are normally di…
No prominent works on this page.
Autocorrelation Problems in Short Time Series
The work of Huitema (1985) on autocorrelation in behavioral data suggests that the use of conventional statistical methods is justified. The present study restates the problem of autocorrelation by analyzing 100 baselines of small samples designs published in the Journal of Applied Behavior Analysis during 1992. The results show a negative bias in the autocorrelations, especially with very small samples. The autocorrelation values are normally di…
Skewness and Kurtosis in Real Data Samples
Parametric statistics are based on the assumption of normality. Recent findings suggest that Type I error and power can be adversely affected when data are non-normal. This paper aims to assess the distributional shape of real data by examining the values of the third and fourth central moments as a measurement of skewness and kurtosis in small samples. The analysis concerned 693 distributions with a sample size ranging from 10 to 30. Measures of…
Non-normal data
BACKGROUND: The robustness of F-test to non-normality has been studied from the 1930s through to the present day. However, this extensive body of research has yielded contradictory results, there being evidence both for and against its robustness. This study provides a systematic examination of F-test robustness to violations of normality in terms of Type I error, considering a wide variety of distributions commonly found in the health and social…
Math anxiety and perfectionistic concerns in multiple-choice assessment
We examined the relationships between math anxiety, perfectionism and academic achievement in undergraduates enrolled in a course with high mathematical content. Participants were 251 students who completed math anxiety and perfectionism questionnaires, and whose academic achievement was measured via a multiple-choice examination. The number of hits, errors and unanswered questions on this examination were analyzed to explore the possible influen…
Econometrics (3 works) · Mathematics (3 works) · Statistics (3 works) · Advanced Statistical Methods and Models (2 works) · Normal distribution (2 works) · Normality (2 works) · Psychology (2 works) · Academic achievement (1 work) · Analysis of variance (1 work) · Anxiety (1 work)