Matthew S Fritz
Dados Biográficos
| ID | 6528546 |
|---|---|
| NOME | Matthew S Fritz |
| PRENOMES | Matthew S |
| SOBRENOME | Fritz |
| ASSINATURA | FRITZ M S |
| AFILIAÇÕES | University of Nebraska–Lincoln |
| ORCID | 0000-0002-5885-6341 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 9 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2007 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Executive function challenges persist into young adulthood and predict mental health outcomes in autism
BACKGROUND: Executive functioning (EF) challenges are common among autistic youth and persist throughout childhood and adolescence; they have been linked to important outcomes, including poorer mental health, adaptive skills, and overall quality of life. Despite the significance of EF in autism, few studies have examined the trajectory of EF challenges longitudinally, and those that have are constrained by small sample sizes, limited age ranges, …
Night-to-night variability in the bedtime routine predicts sleep in toddlers
Health beliefs as a key determinant of intent to use anabolic-androgenic steroids (AAS) among high - school football players
The use of anabolic-androgenic steroids (AAS) is problematic for youth because of negative effects such as reduced fertility, increased aggression and exposure to toxic chemicals. An effective programme for addressing this problem is Adolescents Training and Learning to Avoid Steroids (ATLAS). This secondary analysis expands prior research by identifying prominent mechanisms of change and highlighting key longitudinal processes that contributed t…
The Combined Effects of Measurement Error and Omitting Confounders in the Single-Mediator Model
Mediation analysis requires a number of strong assumptions be met in order to make valid causal inferences. Failing to account for violations of these assumptions, such as not modeling measurement error or omitting a common cause of the effects in the model, can bias the parameter estimates of the mediated effect. When the independent variable is perfectly reliable, for example when participants are randomly assigned to levels of treatment, measu…
A Missed Opportunity for Clarity
Several years ago, the American Psychological Association began requiring that effect size estimates be reported to provide a better indication of the associative strength between factors and dependent measures in empirical studies ( Publication manual of the American Psychological Association , 2010, Author, Washington, DC). Accordingly, developmental journals require/strongly recommend effect size estimates be included in published work. Potent…
Explanation of Two Anomalous Results in Statistical Mediation Analysis
Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special concern as the bias-corrected bootstrap is often recommended and used due to its higher statistical powe…
Distribution of the product confidence limits for the indirect effect
Mediation Analysis
Mediating variables are prominent in psychological theory and research. A mediating variable transmits the effect of an independent variable on a dependent variable. Differences between mediating variables and confounders, moderators, and covariates are outlined. Statistical methods to assess mediation and modern comprehensive approaches are described. Future directions for mediation analysis are discussed.
Required Sample Size to Detect the Mediated Effect
Mediation models are widely used, and there are many tests of the mediated effect. One of the most common questions that researchers have when planning mediation studies is, "How many subjects do I need to achieve adequate power when testing for mediation?" This article presents the necessary sample sizes for six of the most common and the most recommended tests of mediation for various combinations of parameters, to provide a guide for researche…
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Distribution of the product confidence limits for the indirect effect
Mediation Analysis
Mediating variables are prominent in psychological theory and research. A mediating variable transmits the effect of an independent variable on a dependent variable. Differences between mediating variables and confounders, moderators, and covariates are outlined. Statistical methods to assess mediation and modern comprehensive approaches are described. Future directions for mediation analysis are discussed.
Required Sample Size to Detect the Mediated Effect
Mediation models are widely used, and there are many tests of the mediated effect. One of the most common questions that researchers have when planning mediation studies is, "How many subjects do I need to achieve adequate power when testing for mediation?" This article presents the necessary sample sizes for six of the most common and the most recommended tests of mediation for various combinations of parameters, to provide a guide for researche…
Explanation of Two Anomalous Results in Statistical Mediation Analysis
Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special concern as the bias-corrected bootstrap is often recommended and used due to its higher statistical powe…
A Missed Opportunity for Clarity
Several years ago, the American Psychological Association began requiring that effect size estimates be reported to provide a better indication of the associative strength between factors and dependent measures in empirical studies ( Publication manual of the American Psychological Association , 2010, Author, Washington, DC). Accordingly, developmental journals require/strongly recommend effect size estimates be included in published work. Potent…
The Combined Effects of Measurement Error and Omitting Confounders in the Single-Mediator Model
Mediation analysis requires a number of strong assumptions be met in order to make valid causal inferences. Failing to account for violations of these assumptions, such as not modeling measurement error or omitting a common cause of the effects in the model, can bias the parameter estimates of the mediated effect. When the independent variable is perfectly reliable, for example when participants are randomly assigned to levels of treatment, measu…
Health beliefs as a key determinant of intent to use anabolic-androgenic steroids (AAS) among high - school football players
The use of anabolic-androgenic steroids (AAS) is problematic for youth because of negative effects such as reduced fertility, increased aggression and exposure to toxic chemicals. An effective programme for addressing this problem is Adolescents Training and Learning to Avoid Steroids (ATLAS). This secondary analysis expands prior research by identifying prominent mechanisms of change and highlighting key longitudinal processes that contributed t…
Night-to-night variability in the bedtime routine predicts sleep in toddlers
Executive function challenges persist into young adulthood and predict mental health outcomes in autism
BACKGROUND: Executive functioning (EF) challenges are common among autistic youth and persist throughout childhood and adolescence; they have been linked to important outcomes, including poorer mental health, adaptive skills, and overall quality of life. Despite the significance of EF in autism, few studies have examined the trajectory of EF challenges longitudinally, and those that have are constrained by small sample sizes, limited age ranges, …
Psychology (7 obras) · Statistics (6 obras) · Econometrics (5 obras) · Mathematics (5 obras) · Mediation (4 obras) · Psychometric Methodologies and Testing (3 obras) · Sample size determination (3 obras) · Social Psychology (3 obras) · Behavioral Health and Interventions (2 obras) · Child and Adolescent Psychosocial and Emotional Development (2 obras)