Jolynn Pek
Biographic Data
| ID | 4233129 |
|---|---|
| NAME | Jolynn Pek |
| GIVEN NAMES | Jolynn |
| FAMILY NAME | Pek |
| SIGNATURE | PEK J |
| AFFILIATIONS | The Ohio State University |
| ORCID | 0000-0002-9694-4967 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 167 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Feeling Well, Functioning Well: How Psychological Well-Being Predicts Later Self-Control, but Not the Other Way Around
Although self-control is commonly believed to contribute to greater well-being, current evidence is inconclusive due to methodological and statistical issues. Indeed, there are both theoretical and empirical grounds to expect the opposite causal relation: wellbeing could precede self-control. We aimed to clarify this debate with two three-wave longitudinal studies, one on an Asian and the other on an American sample. We applied the random interce…
What does a Z -curve analysis tell us
curve to evaluate research findings. Traditional meta-analytic methods remain more appropriate and reliable for statistical conclusions about focal research findings
How Can We Move Advanced Methodology into Practice More Effectively
Methodology serves an essential role in advancing psychological science. However, meta-science research points to a leaky translational pipeline in which substantive research often fails to utilize recommended methodological practices. Various explanations for this problem include valuing the development of methods over methodology (making tools over using tools), incentives for methodological research, incentives for promoting pedagogy in method…
Conducting Bayesian-Classical Hybrid Power Analysis with R Package Hybridpower
There are several approaches to incorporating uncertainty in power analysis. We review these approaches and highlight the Bayesian-classical hybrid approach that has been implemented in the R package hybridpower. Calculating Bayesian-classical hybrid power circumvents the problem of local optimality in which calculated power is valid if and only if the specified inputs are perfectly correct. hybridpower can compute classical and Bayesian-classica…
Evaluating Research in Personality and Social Psychology: Considerations of Statistical Power and Concerns About False Findings
Traditionally, statistical power was viewed as relevant to research planning but not evaluation of completed research. However, following discussions of high false finding rates (FFRs) associated with low statistical power, the assumed level of statistical power has become a key criterion for research acceptability. Yet, the links between power and false findings are not as straightforward as described. Assumptions underlying FFR calculations do …
Performance of Alternative Regression Weights in the Context of Prediction versus Inference
Regression weights in multiple linear regression can be evaluated through the lens of prediction or inference. From the lens of statistical inference, researchers focus on explaining associations a
HybridPower: An R Package for a Bayesian-Frequentist Hybrid Approach to Power Analysis
"HybridPower: An R Package for a Bayesian-Frequentist Hybrid Approach to Power Analysis." Multivariate Behavioral Research, 54(1), pp. 151–152
Reporting effect sizes in original psychological research: A discussion and tutorial.
Statistical practice in psychological science is undergoing reform which is reflected in part by strong recommendations for reporting and interpreting effect sizes and their confidence intervals. We present principles and recommendations for research reporting and emphasize the variety of ways effect sizes can be reported. Additionally, we emphasize interpreting and reporting unstandardized effect sizes because of common misconceptions regarding …
How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality. We reviewed 61 recently published undergraduate and graduate textbooks on introductory statistics and the linear model, focusing on their treatment of non-normality. This review identified at least eight distinct …
Construct Validation in Social and Personality Research: Current Practice and Recommendations
The verity of results about a psychological construct hinges on the validity of its measurement, making construct validation a fundamental methodology to the scientific process. We reviewed a representative sample of articles published in the Journal of Personality and Social Psychology for construct validity evidence. We report that latent variable measurement, in which responses to items are used to represent a construct, is pervasive in social…
Profile-likelihood Confidence Intervals in Item Response Theory Models
Confidence intervals (CIs) are fundamental inferential devices which quantify the sampling variability of parameter estimates. In item response theory, CIs have been primarily obtained from large-sample Wald-type approaches based on standard error estimates, derived from the observed or expected information matrix, after parameters have been estimated via maximum likelihood. An alternative approach to constructing CIs is to quantify sampling vari…
On the Relationship Between Confidence Sets and Exchangeable Weights in Multiple Linear Regression
When statistical models are employed to provide a parsimonious description of empirical relationships, the extent to which strong conclusions can be drawn rests on quantifying the uncertainty in parameter estimates. In multiple linear regression (MLR), regression weights carry two kinds of uncertainty represented by confidence sets (CSs) and exchangeable weights (EWs). Confidence sets quantify uncertainty in estimation whereas the set of EWs quan…
Sensitivity Analysis in Structural Equation Models: Cases and Their Influence
The detection of outliers and influential observations is routine practice in linear regression. Despite ongoing extensions and development of case diagnostics in structural equation models (SEM), their application has received limited attention and understanding in practice. The use of case diagnostics informs analysts of the uncertainty of model estimates under different subsets of the data and highlights unusual and important characteristics o…
The effects of perceived discrimination on ambulatory blood pressure and affective responses to interpersonal stress modeled over 24 hours
These results suggest that, regardless of race, perceived discrimination is related to cardiovascular and affective responses that may increase vulnerability to pathogenic processes
Estimating and Visualizing Nonlinear Relations Among Latent Variables: A Semiparametric Approach
The graphical presentation of any scientific finding enhances its description, interpretation, and evaluation. Research involving latent variables is no exception, especially when potential nonlinear effects are suspect. This article has multiple aims. First, it provides a nontechnical overview of a semiparametric approach to modeling nonlinear relationships among latent variables using mixtures of linear structural equations. Second, it provides…
Open hearts build lives: Positive emotions, induced through loving-kindness meditation, build consequential personal resources
B. L. Fredrickson's (1998, 2001) broaden-and-build theory of positive emotions asserts that people's daily experiences of positive emotions compound over time to build a variety of consequential personal resources. The authors tested this build hypothesis in a field experiment with working adults (n = 139), half of whom were randomly-assigned to begin a practice of loving-kindness meditation. Results showed that this meditation practice produced …
Is Traditional Gender Ideology Associated with Sex-Typed Mate Preferences? A Test in Nine Nations
Bad but Bold: Ambivalent Attitudes Toward Men Predict Gender Inequality in 16 Nations
A 16-nation study involving 8,360 participants revealed that hostile and benevolent attitudes toward men, assessed by the Ambivalence Toward Men Inventory (P. Click & S.T. Fiske, 1999), were (a) reliably measured across cultures, (b) positively correlated (for men and women, within samples and across nations) with each other and with hostile and benevolent sexism toward women (Ambivalent Sexism Inventory, P. Click & S.T. Fiske, 1996), and (c) neg…
Bad but Bold: Ambivalent Attitudes Toward Men Predict Gender Inequality in 16 Nations
A 16-nation study involving 8,360 participants revealed that hostile and benevolent attitudes toward men, assessed by the Ambivalence Toward Men Inventory (P. Click & S.T. Fiske, 1999), were (a) reliably measured across cultures, (b) positively correlated (for men and women, within samples and across nations) with each other and with hostile and benevolent sexism toward women (Ambivalent Sexism Inventory, P. Click & S.T. Fiske, 1996), and (c) neg…
Open hearts build lives: Positive emotions, induced through loving-kindness meditation, build consequential personal resources
B. L. Fredrickson's (1998, 2001) broaden-and-build theory of positive emotions asserts that people's daily experiences of positive emotions compound over time to build a variety of consequential personal resources. The authors tested this build hypothesis in a field experiment with working adults (n = 139), half of whom were randomly-assigned to begin a practice of loving-kindness meditation. Results showed that this meditation practice produced …
The effects of perceived discrimination on ambulatory blood pressure and affective responses to interpersonal stress modeled over 24 hours
These results suggest that, regardless of race, perceived discrimination is related to cardiovascular and affective responses that may increase vulnerability to pathogenic processes
Is Traditional Gender Ideology Associated with Sex-Typed Mate Preferences? A Test in Nine Nations
Bad but Bold: Ambivalent Attitudes Toward Men Predict Gender Inequality in 16 Nations
A 16-nation study involving 8,360 participants revealed that hostile and benevolent attitudes toward men, assessed by the Ambivalence Toward Men Inventory (P. Click & S.T. Fiske, 1999), were (a) reliably measured across cultures, (b) positively correlated (for men and women, within samples and across nations) with each other and with hostile and benevolent sexism toward women (Ambivalent Sexism Inventory, P. Click & S.T. Fiske, 1996), and (c) neg…
Is Traditional Gender Ideology Associated with Sex-Typed Mate Preferences? A Test in Nine Nations
Open hearts build lives: Positive emotions, induced through loving-kindness meditation, build consequential personal resources
B. L. Fredrickson's (1998, 2001) broaden-and-build theory of positive emotions asserts that people's daily experiences of positive emotions compound over time to build a variety of consequential personal resources. The authors tested this build hypothesis in a field experiment with working adults (n = 139), half of whom were randomly-assigned to begin a practice of loving-kindness meditation. Results showed that this meditation practice produced …
Estimating and Visualizing Nonlinear Relations Among Latent Variables: A Semiparametric Approach
The graphical presentation of any scientific finding enhances its description, interpretation, and evaluation. Research involving latent variables is no exception, especially when potential nonlinear effects are suspect. This article has multiple aims. First, it provides a nontechnical overview of a semiparametric approach to modeling nonlinear relationships among latent variables using mixtures of linear structural equations. Second, it provides…
The effects of perceived discrimination on ambulatory blood pressure and affective responses to interpersonal stress modeled over 24 hours
These results suggest that, regardless of race, perceived discrimination is related to cardiovascular and affective responses that may increase vulnerability to pathogenic processes
Sensitivity Analysis in Structural Equation Models: Cases and Their Influence
The detection of outliers and influential observations is routine practice in linear regression. Despite ongoing extensions and development of case diagnostics in structural equation models (SEM), their application has received limited attention and understanding in practice. The use of case diagnostics informs analysts of the uncertainty of model estimates under different subsets of the data and highlights unusual and important characteristics o…
On the Relationship Between Confidence Sets and Exchangeable Weights in Multiple Linear Regression
When statistical models are employed to provide a parsimonious description of empirical relationships, the extent to which strong conclusions can be drawn rests on quantifying the uncertainty in parameter estimates. In multiple linear regression (MLR), regression weights carry two kinds of uncertainty represented by confidence sets (CSs) and exchangeable weights (EWs). Confidence sets quantify uncertainty in estimation whereas the set of EWs quan…
Construct Validation in Social and Personality Research: Current Practice and Recommendations
The verity of results about a psychological construct hinges on the validity of its measurement, making construct validation a fundamental methodology to the scientific process. We reviewed a representative sample of articles published in the Journal of Personality and Social Psychology for construct validity evidence. We report that latent variable measurement, in which responses to items are used to represent a construct, is pervasive in social…
Profile-likelihood Confidence Intervals in Item Response Theory Models
Confidence intervals (CIs) are fundamental inferential devices which quantify the sampling variability of parameter estimates. In item response theory, CIs have been primarily obtained from large-sample Wald-type approaches based on standard error estimates, derived from the observed or expected information matrix, after parameters have been estimated via maximum likelihood. An alternative approach to constructing CIs is to quantify sampling vari…
Reporting effect sizes in original psychological research: A discussion and tutorial.
Statistical practice in psychological science is undergoing reform which is reflected in part by strong recommendations for reporting and interpreting effect sizes and their confidence intervals. We present principles and recommendations for research reporting and emphasize the variety of ways effect sizes can be reported. Additionally, we emphasize interpreting and reporting unstandardized effect sizes because of common misconceptions regarding …
How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality. We reviewed 61 recently published undergraduate and graduate textbooks on introductory statistics and the linear model, focusing on their treatment of non-normality. This review identified at least eight distinct …
HybridPower: An R Package for a Bayesian-Frequentist Hybrid Approach to Power Analysis
"HybridPower: An R Package for a Bayesian-Frequentist Hybrid Approach to Power Analysis." Multivariate Behavioral Research, 54(1), pp. 151–152
Evaluating Research in Personality and Social Psychology: Considerations of Statistical Power and Concerns About False Findings
Traditionally, statistical power was viewed as relevant to research planning but not evaluation of completed research. However, following discussions of high false finding rates (FFRs) associated with low statistical power, the assumed level of statistical power has become a key criterion for research acceptability. Yet, the links between power and false findings are not as straightforward as described. Assumptions underlying FFR calculations do …
Performance of Alternative Regression Weights in the Context of Prediction versus Inference
Regression weights in multiple linear regression can be evaluated through the lens of prediction or inference. From the lens of statistical inference, researchers focus on explaining associations a
How Can We Move Advanced Methodology into Practice More Effectively
Methodology serves an essential role in advancing psychological science. However, meta-science research points to a leaky translational pipeline in which substantive research often fails to utilize recommended methodological practices. Various explanations for this problem include valuing the development of methods over methodology (making tools over using tools), incentives for methodological research, incentives for promoting pedagogy in method…
Conducting Bayesian-Classical Hybrid Power Analysis with R Package Hybridpower
There are several approaches to incorporating uncertainty in power analysis. We review these approaches and highlight the Bayesian-classical hybrid approach that has been implemented in the R package hybridpower. Calculating Bayesian-classical hybrid power circumvents the problem of local optimality in which calculated power is valid if and only if the specified inputs are perfectly correct. hybridpower can compute classical and Bayesian-classica…
Feeling Well, Functioning Well: How Psychological Well-Being Predicts Later Self-Control, but Not the Other Way Around
Although self-control is commonly believed to contribute to greater well-being, current evidence is inconclusive due to methodological and statistical issues. Indeed, there are both theoretical and empirical grounds to expect the opposite causal relation: wellbeing could precede self-control. We aimed to clarify this debate with two three-wave longitudinal studies, one on an Asian and the other on an American sample. We applied the random interce…
What does a Z -curve analysis tell us
curve to evaluate research findings. Traditional meta-analytic methods remain more appropriate and reliable for statistical conclusions about focal research findings
Computer Science (12 works) · Psychology (11 works) · Mathematics (9 works) · Statistics (7 works) · Artificial Intelligence (6 works) · Econometrics (6 works) · Social Psychology (6 works) · Artificial Intelligence (5 works) · Mental Health Research Topics (5 works) · Advanced Statistical Methods and Models (4 works)