John Ruscio
Biographic Data
| ID | 762473 |
|---|---|
| NAME | John Ruscio |
| GIVEN NAMES | John |
| FAMILY NAME | Ruscio |
| SIGNATURE | RUSCIO J |
| AFFILIATIONS | College of New Jersey |
| VERIFIED | No |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 11 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 2 |
Do Status-Legitimizing Beliefs Moderate Effects of Racial Progress on Perceptions of Anti-White Bias? A Replication of Wilkins and Kaiser (2014)
In three studies, Wilkins and Kaiser found that both chronic and experimental salience of racial progress in the United States increased the perceptions of anti-White bias only among people high in status-legitimizing beliefs (SLBs). We conducted four preregistered high-powered replications of this research. Studies 1, 2, and 3a were close replications of studies 1–3, respectively. Study 3b was a close replication that included an additional expe…
Does Subjective SES Moderate the Effect of Money Priming on Socioeconomic System Support? A Replication of Schuler and Wänke (2016)
Findings that money priming increases socioeconomic system support have proven difficult to replicate. Schuler and Wänke found that subjective socioeconomic status (SES) moderates money priming effects on system justification and belief in a just world. We conducted three preregistered replications of this research, with sample sizes 3 times those of the original studies. Replication 1 was a conceptual replication that combined elements from the …
Creativity in Context
Generalizations and Extensions of the Probability of Superiority Effect Size Estimator
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate estimates of effect size. For 2-group comparisons, a probability-based effect size estimator (A) has many appealing properties (e.g., it is easy to understand, robust to violations of parametric assumptions, insensitive to outliers). We review generalizations of the A statistic to extend its use to applications with discrete data, with weighted data…
Introduction To The Taxometric Method
Introduction to the Taxometric Method is a user-friendly, practical guide to taxometric research. Drawing from both classic and contemporary research, it provides a comprehensive introduction to the method. With helpful tools and guidance, the book is intended to teach those new to the method, as well as those already familiar with it, tips on how to conduct and evaluate taxometric investigations. The book covers a broad range of analytic techniq…
Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure.
Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for the actual data. PA takes into account sampling error, and at present it is widely considered the best …
Confidence Intervals for the Probability of Superiority Effect Size Measure and the Area Under a Receiver Operating Characteristic Curve
It is good scientific practice to the report an appropriate estimate of effect size and a confidence interval (CI) to indicate the precision with which a population effect was estimated. For comparisons of 2 independent groups, a probability-based effect size estimator (A) that is equal to the area under a receiver operating characteristic curve and closely related to the popular Wilcoxon-Mann-Whitney nonparametric statistical tests has many appe…
Differentiating Categories and Dimensions
Interest in modeling the structure of latent variables is gaining momentum, and many simulation studies suggest that taxometric analysis can validly assess the relative fit of categorical and dimensional models. The generation and parallel analysis of categorical and dimensional comparison data sets reduces the subjectivity required to interpret results by providing an objective Comparison Curve Fit Index (CCFI). This study takes advantage of dev…
A probability-based measure of effect size
Calculating and reporting appropriate measures of effect size are becoming standard practice in psychological research. One of the most common scenarios encountered involves the comparison of 2 groups, which includes research designs that are experimental (e.g., random assignment to treatment vs. placebo conditions) and nonexperimental (e.g., testing for gender differences). Familiar measures such as the standardized mean difference (d) or the po…
Simulating Multivariate Nonnormal Data Using an Iterative Algorithm
Simulating multivariate nonnormal data with specified correlation matrices is difficult. One especially popular method is Vale and Maurelli's (1983) extension of Fleishman's (1978) polynomial transformation technique to multivariate applications. This requires the specification of distributional moments and the calculation of an intermediate correlation matrix such that when data are transformed, the target correlation matrix is reproduced. We pr…
Applying the Bootstrap to Taxometric Analysis
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap methodology, one can generate empirical sampling distributions of taxometric results using data-based est…
Taxometric Analysis with Dichotomous Indicators
Previous Monte Carlo simulations and empirical trials have demonstrated the power with which taxometric procedures distinguish between taxonic (categorical) and dimensional (continuous) latent structures. However, questions have been raised about results obtained using procedures modified to accommodate dichotomous indicators. The present investigation shows that the most widely used taxometric procedure (MAXCOV) can distinguish between latent st…
Taxometric Analysis With Dichotomous Indicators
Gatekeeping, compensation, and fallibility
Gatekeeping, compensation, and fallibility
Intrapersonal Characteristics and the Timing of Divorce
Data from two longitudinal studies (Normative Aging Study and Terman Life Cycle Study) were used to investigate the intrapersonal predictors of earlier and later divorce. Initially married individuals were classified as having not divorced, divorced before 20 years of marriage, or divorced after 20 or more years of marriage. Individuals rated as more disagreeable (angry, vain/egotistical, lacking sympathy/tenderness) and more impulsive (lacking c…
Intrapersonal Characteristics and the Timing of Divorce
Data from two longitudinal studies (Normative Aging Study and Terman Life Cycle Study) were used to investigate the intrapersonal predictors of earlier and later divorce. Initially married individuals were classified as having not divorced, divorced before 20 years of marriage, or divorced after 20 or more years of marriage. Individuals rated as more disagreeable (angry, vain/egotistical, lacking sympathy/tenderness) and more impulsive (lacking c…
Confidence Intervals for the Probability of Superiority Effect Size Measure and the Area Under a Receiver Operating Characteristic Curve
It is good scientific practice to the report an appropriate estimate of effect size and a confidence interval (CI) to indicate the precision with which a population effect was estimated. For comparisons of 2 independent groups, a probability-based effect size estimator (A) that is equal to the area under a receiver operating characteristic curve and closely related to the popular Wilcoxon-Mann-Whitney nonparametric statistical tests has many appe…
Gatekeeping, compensation, and fallibility
Gatekeeping, compensation, and fallibility
Intrapersonal Characteristics and the Timing of Divorce
Data from two longitudinal studies (Normative Aging Study and Terman Life Cycle Study) were used to investigate the intrapersonal predictors of earlier and later divorce. Initially married individuals were classified as having not divorced, divorced before 20 years of marriage, or divorced after 20 or more years of marriage. Individuals rated as more disagreeable (angry, vain/egotistical, lacking sympathy/tenderness) and more impulsive (lacking c…
Taxometric Analysis with Dichotomous Indicators
Previous Monte Carlo simulations and empirical trials have demonstrated the power with which taxometric procedures distinguish between taxonic (categorical) and dimensional (continuous) latent structures. However, questions have been raised about results obtained using procedures modified to accommodate dichotomous indicators. The present investigation shows that the most widely used taxometric procedure (MAXCOV) can distinguish between latent st…
Taxometric Analysis With Dichotomous Indicators
Applying the Bootstrap to Taxometric Analysis
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap methodology, one can generate empirical sampling distributions of taxometric results using data-based est…
A probability-based measure of effect size
Calculating and reporting appropriate measures of effect size are becoming standard practice in psychological research. One of the most common scenarios encountered involves the comparison of 2 groups, which includes research designs that are experimental (e.g., random assignment to treatment vs. placebo conditions) and nonexperimental (e.g., testing for gender differences). Familiar measures such as the standardized mean difference (d) or the po…
Simulating Multivariate Nonnormal Data Using an Iterative Algorithm
Simulating multivariate nonnormal data with specified correlation matrices is difficult. One especially popular method is Vale and Maurelli's (1983) extension of Fleishman's (1978) polynomial transformation technique to multivariate applications. This requires the specification of distributional moments and the calculation of an intermediate correlation matrix such that when data are transformed, the target correlation matrix is reproduced. We pr…
Differentiating Categories and Dimensions
Interest in modeling the structure of latent variables is gaining momentum, and many simulation studies suggest that taxometric analysis can validly assess the relative fit of categorical and dimensional models. The generation and parallel analysis of categorical and dimensional comparison data sets reduces the subjectivity required to interpret results by providing an objective Comparison Curve Fit Index (CCFI). This study takes advantage of dev…
Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure.
Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for the actual data. PA takes into account sampling error, and at present it is widely considered the best …
Confidence Intervals for the Probability of Superiority Effect Size Measure and the Area Under a Receiver Operating Characteristic Curve
It is good scientific practice to the report an appropriate estimate of effect size and a confidence interval (CI) to indicate the precision with which a population effect was estimated. For comparisons of 2 independent groups, a probability-based effect size estimator (A) that is equal to the area under a receiver operating characteristic curve and closely related to the popular Wilcoxon-Mann-Whitney nonparametric statistical tests has many appe…
Generalizations and Extensions of the Probability of Superiority Effect Size Estimator
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate estimates of effect size. For 2-group comparisons, a probability-based effect size estimator (A) has many appealing properties (e.g., it is easy to understand, robust to violations of parametric assumptions, insensitive to outliers). We review generalizations of the A statistic to extend its use to applications with discrete data, with weighted data…
Introduction To The Taxometric Method
Introduction to the Taxometric Method is a user-friendly, practical guide to taxometric research. Drawing from both classic and contemporary research, it provides a comprehensive introduction to the method. With helpful tools and guidance, the book is intended to teach those new to the method, as well as those already familiar with it, tips on how to conduct and evaluate taxometric investigations. The book covers a broad range of analytic techniq…
Creativity in Context
Do Status-Legitimizing Beliefs Moderate Effects of Racial Progress on Perceptions of Anti-White Bias? A Replication of Wilkins and Kaiser (2014)
In three studies, Wilkins and Kaiser found that both chronic and experimental salience of racial progress in the United States increased the perceptions of anti-White bias only among people high in status-legitimizing beliefs (SLBs). We conducted four preregistered high-powered replications of this research. Studies 1, 2, and 3a were close replications of studies 1–3, respectively. Study 3b was a close replication that included an additional expe…
Does Subjective SES Moderate the Effect of Money Priming on Socioeconomic System Support? A Replication of Schuler and Wänke (2016)
Findings that money priming increases socioeconomic system support have proven difficult to replicate. Schuler and Wänke found that subjective socioeconomic status (SES) moderates money priming effects on system justification and belief in a just world. We conducted three preregistered replications of this research, with sample sizes 3 times those of the original studies. Replication 1 was a conceptual replication that combined elements from the …
Psychology (10 works) · Statistics (10 works) · Computer Science (9 works) · Mathematics (9 works) · Social Psychology (8 works) · Econometrics (6 works) · Artificial Intelligence (4 works) · Artificial Intelligence (4 works) · Social Psychology (4 works) · Categorical variable (3 works)