A Mayer
Biographic Data
| ID | 4873 |
|---|---|
| NAME | A Mayer |
| GIVEN NAMES | A |
| FAMILY NAME | Mayer |
| SIGNATURE | MAYER A |
| AFFILIATIONS | Bielefeld University |
| ORCID | 0000-0001-9716-878X |
| VERIFIED | Yes |
| TOTAL WORKS | 29 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 29 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1925 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Nutrition-sensitive agriculture programme impacts women’s mental health via food security in rural Bangladesh
INTRODUCTION: Food insecurity and malnutrition, as well as poor mental health, negatively impact millions of people worldwide and can reinforce each other, compounded by gender inequity. Nutrition-sensitive agriculture interventions have the potential to improve these simultaneously. We analysed the impact of a homestead food production (HFP) programme on women's mental health, including pathways through food insecurity, women's empowerment and d…
Psychometric Evaluation of a Contextualized Version of the German BFI-2 for the Digital World Across Self- and Other-Ratings
While the Big Five Inventory-2 offers efficient assessment of personality domains and facets, continuous psychometric evaluation remains crucial to ensure valid personality assessment. The present study examined whether the dimensional structure and measurement properties of the German BFI-2 remain invariant across offline and online contexts and methods (self- and other-ratings). Data from 403 self-raters and 151 informants were analyzed using c…
How to Use Residual Dynamic Structural Equation Modeling to Study Individual Differences and Intraindividual Variability in Experimental Factorial Designs
This article demonstrates the application of residual dynamic structural equation modeling (RDSEM) for analyzing custom contrasts in experimental factorial designs. Previous applications of RDSEM have often focused on ecological momentary assessment and daily diary data. However, RDSEM was explicitly developed for intensive longitudinal data more generally, including settings with very short time intervals between observations. Beyond these types…
Estimating Latent State-Trait Models for Experience-Sampling Data in R with the lsttheory Package
As the popularity of the experience-sampling methodology rises, there is a growing need for suitable analytical procedures. These studies often aim to separate fleeting situation-specific influences from more enduring ones. Latent state-trait (LST) models can make this differentiation. This tutorial discusses multiple-indicator wide-format LST models suitable for experience-sampling data. We outline second-order and first-order model specificatio…
Making Multimethod Latent State–Trait Models for Random and Fixed Situations Accessible
OBJECTIVE: As more researchers employ longitudinal research designs, which integrate multiple methods and multiple (fixed) situations, the need for appropriate analytical methods arises. METHOD: Multimethod latent state-trait models for random and fixed situations (MM-LST-RF; Hintz et al. 2019) provide a means with which person characteristics, (fixed) situation, and method effects, as well as their interactions can be studied. While these models…
Bayesian Analysis of Multi-Factorial Experimental Designs Using SEM
Latent repeated measures ANOVA (L-RM-ANOVA) has recently been proposed as an alternative to traditional repeated measures ANOVA. L-RM-ANOVA builds upon structural equation modeling and enables researchers to investigate interindividual differences in main/interaction effects, examine custom contrasts, incorporate a measurement model, and account for missing data. However, L-RM-ANOVA uses maximum likelihood and thus cannot incorporate prior inform…
Socio-economic inequalities in body mass index among preschool children
Background: Overweight in childhood is considered to be one of the most serious public health challenges. Many studies have investigated individual-level determinants of children's body mass index (BMI), yet studies exploring determinants at the meso-level are sparse. The aim of our study was to examine how a sports focus at early childhood education and care (ECEC) centers moderates the effect of parental socio-economic position (SEP) on childre…
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance
This article demonstrates how to use structural equation modeling (SEMing) in place of between-subjects analysis of variance (BS-ANOVA). More specifically, this article demonstrates how to closely reproduce the F-values and p-values from ANOVA (for all main and interactions effects) using an SEM model comparison approach (i.e., χ2 difference tests between two SEMs that conform to the main and interaction effects of the null and alternative hypoth…
On the Relationship between Anova Main Effects and Average Treatment Effects
We adopt a causal inference perspective to shed light into which ANOVA type of sums of squares (SS) should be used for testing main effects and whether main effects should be considered at all in the presence of interactions. We consider balanced, proportional and nonorthogonal designs, and models with and without interactions. When the design is balanced, we show that the average treatment effect is estimated by the main effects obtained by type…
Adherence and effectiveness of an emotion-based psychodynamic online self-help during and after inpatient and day-care psychotherapy
Adherence to the online self-help program KEN-Online was lower in the naturalistic setting than in a previous clinical trial, but was still associated with greater program effectiveness. Adherence-promoting measures are crucial to increase the effectiveness of such interventions in clinical settings
Repeated Measures Anova with Latent Variables to Analyze Interindividual Differences in Contrasts
Repeated measures analysis of variance (RM-ANOVA) is a broadly used statistical method to analyze data from experimental designs. RM-ANOVA aims at investigating effects of experimental conditions (i.e., factors) and predictors that affect the outcome of interest. It mainly considers contrasts that test standard main and interaction effects, even though more complex contrasts can in principle be used. Analyses, however, only focus on drawing concl…
Systematization of family education traditions
Introduction. Based on an interdisciplinary analysis, the authors have found a contradiction between a wide range of approaches which describe the essence and mechanisms of family education, and the lack of a universal tool which allows to identify, analyze, compare, classify, rank, describe, reveal the essence and specifics of various traditions, which are the bases for the inheritance of culture and transfer of experience from generation to gen…
Partnership in Promoting Community Health Research
Progress in Community Health Partnerships: Research, Education, and Action - Volume 16, Issue 4, Winter 2022
Partnership in Promoting Community Health Research
The CAB rated openness/respect, community focus, and commitment to mission high across all 10 years. Areas for improvement included broadening membership and clarifying goals periodically. In forming a CAB to address health disparities in a Latino community, researchers must be aware of factors that motivated members to join and remain engaged with an academic team using an iterative evaluative process
Accounting for Latent Covariates in Average Effects from Count Regressions
The effectiveness of a treatment on a count outcome can be assessed using a negative binomial regression, where treatment effects are defined as the difference between the expected outcome under treatment and under control. These treatment effects can to date only be estimated if all covariates are manifest (observed) variables. However, some covariates are latent variables that are measured by multiple fallible indicators. In such cases, it is i…
Gender dissimilarity between subject and object facilitates online-comprehension of agent-patient-relations in German
Analysis of Variance Models with Stochastic Group Weights
The analysis of variance (ANOVA) is still one of the most widely used statistical methods in the social sciences. This article is about stochastic group weights in ANOVA models – a neglected aspect in the literature. Stochastic group weights are present whenever the experimenter does not determine the exact group sizes before conducting the experiment. We show that classic ANOVA tests based on estimated marginal means can have an inflated type I …
Exploring the Link Between Daily Relationship Quality, Sexual Desire, and Sexual Activity in Couples
Current models of sexual responding emphasize the role of contextual and relational factors in shaping sexual behavior. The present study used a prospective diary design to examine the temporal sequence and variability of the link between sexual and relationship variables in a sample of couples. Studying sexual responding in the everyday context of the relationship is necessary to get research more aligned with the complex reality of having sex i…
Giving dyadic data analysis away
The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user-friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distin…
Hypothesis Testing Using Factor Score Regression
In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and with structural equation modeling (SEM) by using analytic calculations and two Monte Carlo simulation…
The EffectLiteR Approach for Analyzing Average and Conditional Effects
We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on t…
A Theory of States and Traits—Revised
We present a revision of latent state-trait (LST-R) theory with new definitions of states and traits. This theory applies whenever we study the consistency of behavior, its variability, and its change over time. States and traits are defined in terms of probability theory. This allows for a seamless transition from theory to statistical modeling of empirical data. LST-R theory not only gives insights into the nature of latent variables but it als…
Theory and Analysis of Total, Direct, and Indirect Causal Effects
Mediation analysis, or more generally models with direct and indirect effects, are commonly used in the behavioral sciences. As we show in our illustrative example, traditional methods of mediation analysis that omit confounding variables can lead to systematically biased direct and indirect effects, even in the context of a randomized experiment. Therefore, several definitions of causal effects in mediation models have been presented in the lite…
Aesthetics of Catastrophe
Research Article| May 01 2008 Aesthetics of Catastrophe Aric Mayer Aric Mayer Search for other works by this author on: This Site Google Public Culture (2008) 20 (2): 177–191. https://doi.org/10.1215/08992363-2007-022 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Aric Mayer; Aesthetics of Catastrophe. Public Culture 1 May 2008; 20 (2): 177–191. doi: https://doi.org/10.1215/08992363-2007-022 Downl…
A guide to the literature on aggressive behavior
Giving dyadic data analysis away
The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user-friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distin…
Exploring the Link Between Daily Relationship Quality, Sexual Desire, and Sexual Activity in Couples
Current models of sexual responding emphasize the role of contextual and relational factors in shaping sexual behavior. The present study used a prospective diary design to examine the temporal sequence and variability of the link between sexual and relationship variables in a sample of couples. Studying sexual responding in the everyday context of the relationship is necessary to get research more aligned with the complex reality of having sex i…
Aesthetics of Catastrophe
Research Article| May 01 2008 Aesthetics of Catastrophe Aric Mayer Aric Mayer Search for other works by this author on: This Site Google Public Culture (2008) 20 (2): 177–191. https://doi.org/10.1215/08992363-2007-022 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Aric Mayer; Aesthetics of Catastrophe. Public Culture 1 May 2008; 20 (2): 177–191. doi: https://doi.org/10.1215/08992363-2007-022 Downl…
Gender dissimilarity between subject and object facilitates online-comprehension of agent-patient-relations in German
Psychogenese und Psychotherapie Körperlicher Symptome
Measurement of some effects of electroconvulsive therapy on the individual patient
Libye 1978-1981
Law and Politics in Africa, Asia and Latin America" analyses legal and constitutional developments in all states or regions outside of Europe as well as their regional and international integration. Founded in 1968 and inspired by decolonization and the idea of a cooperative new beginning, the Journal also promotes a special interest in contributions on 'Law and development'. The journal aims to provide a forum for a variety of perspectives on th…
Property, Social Structure and Law in the Modern Middle East
Journal Article Property, Social Structure and Law in the Modern Middle East Get access Property, Social Structure and Law in the Modern Middle East. Edited by Mayer Ann Elisabeth.Albany, New York: State University of New York Press, 1985. Pp. xv, 274. Chibli Mallat Chibli Mallat * Member of the Beirut Bar; Ph.D. Candidate, School of Oriental and African Studies, University of London Search for other works by this author on: Oxford Academic Googl…
A guide to the literature on aggressive behavior
Aesthetics of Catastrophe
Research Article| May 01 2008 Aesthetics of Catastrophe Aric Mayer Aric Mayer Search for other works by this author on: This Site Google Public Culture (2008) 20 (2): 177–191. https://doi.org/10.1215/08992363-2007-022 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Aric Mayer; Aesthetics of Catastrophe. Public Culture 1 May 2008; 20 (2): 177–191. doi: https://doi.org/10.1215/08992363-2007-022 Downl…
Theory and Analysis of Total, Direct, and Indirect Causal Effects
Mediation analysis, or more generally models with direct and indirect effects, are commonly used in the behavioral sciences. As we show in our illustrative example, traditional methods of mediation analysis that omit confounding variables can lead to systematically biased direct and indirect effects, even in the context of a randomized experiment. Therefore, several definitions of causal effects in mediation models have been presented in the lite…
A Theory of States and Traits—Revised
We present a revision of latent state-trait (LST-R) theory with new definitions of states and traits. This theory applies whenever we study the consistency of behavior, its variability, and its change over time. States and traits are defined in terms of probability theory. This allows for a seamless transition from theory to statistical modeling of empirical data. LST-R theory not only gives insights into the nature of latent variables but it als…
Hypothesis Testing Using Factor Score Regression
In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and with structural equation modeling (SEM) by using analytic calculations and two Monte Carlo simulation…
The EffectLiteR Approach for Analyzing Average and Conditional Effects
We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on t…
Exploring the Link Between Daily Relationship Quality, Sexual Desire, and Sexual Activity in Couples
Current models of sexual responding emphasize the role of contextual and relational factors in shaping sexual behavior. The present study used a prospective diary design to examine the temporal sequence and variability of the link between sexual and relationship variables in a sample of couples. Studying sexual responding in the everyday context of the relationship is necessary to get research more aligned with the complex reality of having sex i…
Giving dyadic data analysis away
The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user-friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distin…
Analysis of Variance Models with Stochastic Group Weights
The analysis of variance (ANOVA) is still one of the most widely used statistical methods in the social sciences. This article is about stochastic group weights in ANOVA models – a neglected aspect in the literature. Stochastic group weights are present whenever the experimenter does not determine the exact group sizes before conducting the experiment. We show that classic ANOVA tests based on estimated marginal means can have an inflated type I …
Accounting for Latent Covariates in Average Effects from Count Regressions
The effectiveness of a treatment on a count outcome can be assessed using a negative binomial regression, where treatment effects are defined as the difference between the expected outcome under treatment and under control. These treatment effects can to date only be estimated if all covariates are manifest (observed) variables. However, some covariates are latent variables that are measured by multiple fallible indicators. In such cases, it is i…
Gender dissimilarity between subject and object facilitates online-comprehension of agent-patient-relations in German
Repeated Measures Anova with Latent Variables to Analyze Interindividual Differences in Contrasts
Repeated measures analysis of variance (RM-ANOVA) is a broadly used statistical method to analyze data from experimental designs. RM-ANOVA aims at investigating effects of experimental conditions (i.e., factors) and predictors that affect the outcome of interest. It mainly considers contrasts that test standard main and interaction effects, even though more complex contrasts can in principle be used. Analyses, however, only focus on drawing concl…
Systematization of family education traditions
Introduction. Based on an interdisciplinary analysis, the authors have found a contradiction between a wide range of approaches which describe the essence and mechanisms of family education, and the lack of a universal tool which allows to identify, analyze, compare, classify, rank, describe, reveal the essence and specifics of various traditions, which are the bases for the inheritance of culture and transfer of experience from generation to gen…
Partnership in Promoting Community Health Research
Progress in Community Health Partnerships: Research, Education, and Action - Volume 16, Issue 4, Winter 2022
Partnership in Promoting Community Health Research
The CAB rated openness/respect, community focus, and commitment to mission high across all 10 years. Areas for improvement included broadening membership and clarifying goals periodically. In forming a CAB to address health disparities in a Latino community, researchers must be aware of factors that motivated members to join and remain engaged with an academic team using an iterative evaluative process
Socio-economic inequalities in body mass index among preschool children
Background: Overweight in childhood is considered to be one of the most serious public health challenges. Many studies have investigated individual-level determinants of children's body mass index (BMI), yet studies exploring determinants at the meso-level are sparse. The aim of our study was to examine how a sports focus at early childhood education and care (ECEC) centers moderates the effect of parental socio-economic position (SEP) on childre…
Using Structural Equation Modeling in Place of Between-Subjects Analysis of Variance
This article demonstrates how to use structural equation modeling (SEMing) in place of between-subjects analysis of variance (BS-ANOVA). More specifically, this article demonstrates how to closely reproduce the F-values and p-values from ANOVA (for all main and interactions effects) using an SEM model comparison approach (i.e., χ2 difference tests between two SEMs that conform to the main and interaction effects of the null and alternative hypoth…
On the Relationship between Anova Main Effects and Average Treatment Effects
We adopt a causal inference perspective to shed light into which ANOVA type of sums of squares (SS) should be used for testing main effects and whether main effects should be considered at all in the presence of interactions. We consider balanced, proportional and nonorthogonal designs, and models with and without interactions. When the design is balanced, we show that the average treatment effect is estimated by the main effects obtained by type…
Adherence and effectiveness of an emotion-based psychodynamic online self-help during and after inpatient and day-care psychotherapy
Adherence to the online self-help program KEN-Online was lower in the naturalistic setting than in a previous clinical trial, but was still associated with greater program effectiveness. Adherence-promoting measures are crucial to increase the effectiveness of such interventions in clinical settings
Bayesian Analysis of Multi-Factorial Experimental Designs Using SEM
Latent repeated measures ANOVA (L-RM-ANOVA) has recently been proposed as an alternative to traditional repeated measures ANOVA. L-RM-ANOVA builds upon structural equation modeling and enables researchers to investigate interindividual differences in main/interaction effects, examine custom contrasts, incorporate a measurement model, and account for missing data. However, L-RM-ANOVA uses maximum likelihood and thus cannot incorporate prior inform…
Estimating Latent State-Trait Models for Experience-Sampling Data in R with the lsttheory Package
As the popularity of the experience-sampling methodology rises, there is a growing need for suitable analytical procedures. These studies often aim to separate fleeting situation-specific influences from more enduring ones. Latent state-trait (LST) models can make this differentiation. This tutorial discusses multiple-indicator wide-format LST models suitable for experience-sampling data. We outline second-order and first-order model specificatio…
Computer Science (13 works) · Econometrics (12 works) · Mathematics (12 works) · Psychology (12 works) · Statistics (11 works) · Advanced Causal Inference Techniques (7 works) · Structural equation modeling (7 works) · Artificial Intelligence (6 works) · Latent variable (6 works) · Psychometric Methodologies and Testing (6 works)