Susan C Duncan
Biographic Data
| ID | 6093136 |
|---|---|
| NAME | Susan C Duncan |
| GIVEN NAMES | Susan C |
| FAMILY NAME | Duncan |
| SIGNATURE | DUNCAN S C |
| AFFILIATIONS | Oregon Research Institute |
| VERIFIED | No |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 27 |
| WORKS AS AUTHOR | 17 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Sports Participation and Positive Correlates in African American, Latino, and White Girls
Findings confirm the existence of significant relationships between organized sports participation and positive correlates among early adolescent African American, Latino, and white girls. Despite a few ethnic differences in relationships, the current study revealed more similarities than differences
An Introduction to Latent Variable Growth Curve Modeling
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader’s familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input …
Alcohol Use of African Americans and Whites From Ages 9–20
African American and White youth (N = 405) were assessed annually for 8 years, providing alcohol use data spanning from ages 9-20 years. Alcohol use increased with age, as did binge drinking, drunkenness, peer alcohol use, and ease of obtaining alcohol. At younger ages, the usual alcoholic drink was wine; other drinks were preferred at older ages. Fewer African Americans than Whites reported alcohol use, binge drinking, drunkenness, peer alcohol …
The ABC’s of LGM
In recent years, we have witnessed an increase in the complexity of theoretical models that attempt to explain behavior from both contextual and developmental perspectives. This increase in the complexity of our theoretical propositions regarding behavior parallels recent methodological advances for the analysis of change. These new analysis techniques have fundamentally altered how we conceptualize and study change. Researchers have begun to ide…
Retention of African-American and White Youth in a Longitudinal Substance Use Study
The current investigation discusses successful strategies used to retain N = 405 African-American and White target youth in a longitudinal, non-intervention study focused on alcohol and other drug use. Ninety-one percent of youth remained in the study for all 4 years, including 87% of African-Americans and 96% of Whites. In a logistic regression model incorporating age, ethnicity, income, sex, parent/guardian marital status, parent alcohol use, a…
Sources and Types of Social Support in Youth Physical Activity.
This study examines the influence of sources and types of social support on youth physical activity. The sample comprised 372 youth (mean age=12.05 years, SD=1.63). Youth were 76% White and 50.3% female. The annual household income for the sample was 20% under $30,000; 30% $30,000-$49,999; 25% $50,000-$69,999; 13% $70,000-$89,999; and 12% $90,000 and above. Results revealed that friends who support and watch youth engage in activities are signifi…
An introduction to latent growth curve modeling
Family Influences on Youth Alcohol Use
This study examined the effects of demographic and family influences on alcohol use among White and African American youth. Data comprised 400 target youth with a mean age of 11.04 years (SD = 1.68), 51.2% male, 49.8% African American and 50.2% White. Youth alcohol use was hypothesized to be influenced by the child's age, family income, parent status, parent alcohol use, sibling alcohol use, and family cohesion. A four-group multiple-sample struc…
The Social Context of Alcohol Initiation Among African American and White Youth
This study documented the social context of alcohol initiation in children and adolescents, and examined gender, age, and ethnic differences among African Americans and Whites. Data comprised 148 youths reporting that they had tried alcohol, with a mean age of 13 years and a mean alcohol use onset age of 10 years. Most respondents (61%) indicated that they were with their parents when they first used alcohol, half were at home at the time, and ma…
A Multilevel Contextual Model of Neighborhood Collective Efficacy
Different data sources were used to examine hypothesized relations among neighborhood‐, family‐, and individual‐level variables, and perceptions of neighborhood collective efficacy. Data were from 1,105 individuals (56% female, 42% African American, and 58% White) nested within 55 neighborhoods and 392 families, analyzed within a multilevel design using a 3‐level model. At the neighborhood level, the study examined relations between Census, polic…
A Multilevel Analysis of Neighborhood Context and Youth Alcohol and Drug Problems
Telephone Recruitment of a Random Stratified African American and White Family Study Sample
Few researchers have documented procedures and methods for recruitment of a random sample to assess risky health-related behavior, such as substance use, across different ethnicities. This study describes the recruitment methods used to attain a stratified sample of 368 target youths (African American and White males and females from 9-, 11-, and 13-year-old cohorts), along with all household family members aged 9 and older, representing families…
Adolescent problem behavior
Approaches to Testing Interaction Effects Using Structural Equation Modeling Methodology
Use of structural equation modeling (SEM) methodology to study interactive relationships among latent variables began with the work of Kenny and Judd (1984) who developed a method of testing interactions involving continuous latent variables by forming products of multiple indicator variables. Until recently, there has been considerable difficulty implementing the method in SEM programs. This article reviews a single indicator approach (Joreskog …
Latent Variable Modeling of Longitudinal and Multilevel Substance Use Data
This article demonstrates the use of a general model for latent variable growth analysis which takes into account cluster sampling. Multilevel Latent Growth Modeling (MLGR4) was used to analyze longitudinal and multilevel data for adolescent and parent substance use measured at four annual time points. An associative LGM model was tested for alcohol, marijuana, and cigarette use with a sample of 435 families. Hypotheses concerning the shape of th…
An Analysis of the Relationship Between Parent and Adolescent Marijuana Use Via Generalized Estimating Equation Methodology
Although longitudinal designs are uniquely suited to the study of individual change over time, standard multivariate statistical methods often perform poorly when faced with common characteristics of longitudinal data such as correlated observations and missing observations. The purpose of the present study was to demonstrate the utility of a generalized estimating equations approach to the analysis of longitudinal data, while investigating the r…
Modeling Incomplete Longitudinal Substance Use Data Using Latent Variable Growth Curve Methodology
Longitudinal data sets typically suffer from attrition and other forms of missing data. When this common problem occurs, several researchers have demonstrated that correct maximum likelihood estimation with missing data can be obtained under mild assumptions concerning the missing data mechanism. With reasonable substantive theory, a mixture of cross-sectional and longitudinal methods developed within multiple-group structural equation modeling c…
A Multilevel Contextual Model of Neighborhood Collective Efficacy
Different data sources were used to examine hypothesized relations among neighborhood‐, family‐, and individual‐level variables, and perceptions of neighborhood collective efficacy. Data were from 1,105 individuals (56% female, 42% African American, and 58% White) nested within 55 neighborhoods and 392 families, analyzed within a multilevel design using a 3‐level model. At the neighborhood level, the study examined relations between Census, polic…
Modeling Incomplete Longitudinal Substance Use Data Using Latent Variable Growth Curve Methodology
Longitudinal data sets typically suffer from attrition and other forms of missing data. When this common problem occurs, several researchers have demonstrated that correct maximum likelihood estimation with missing data can be obtained under mild assumptions concerning the missing data mechanism. With reasonable substantive theory, a mixture of cross-sectional and longitudinal methods developed within multiple-group structural equation modeling c…
An Analysis of the Relationship Between Parent and Adolescent Marijuana Use Via Generalized Estimating Equation Methodology
Although longitudinal designs are uniquely suited to the study of individual change over time, standard multivariate statistical methods often perform poorly when faced with common characteristics of longitudinal data such as correlated observations and missing observations. The purpose of the present study was to demonstrate the utility of a generalized estimating equations approach to the analysis of longitudinal data, while investigating the r…
Latent Variable Modeling of Longitudinal and Multilevel Substance Use Data
This article demonstrates the use of a general model for latent variable growth analysis which takes into account cluster sampling. Multilevel Latent Growth Modeling (MLGR4) was used to analyze longitudinal and multilevel data for adolescent and parent substance use measured at four annual time points. An associative LGM model was tested for alcohol, marijuana, and cigarette use with a sample of 435 families. Hypotheses concerning the shape of th…
Approaches to Testing Interaction Effects Using Structural Equation Modeling Methodology
Use of structural equation modeling (SEM) methodology to study interactive relationships among latent variables began with the work of Kenny and Judd (1984) who developed a method of testing interactions involving continuous latent variables by forming products of multiple indicator variables. Until recently, there has been considerable difficulty implementing the method in SEM programs. This article reviews a single indicator approach (Joreskog …
Adolescent problem behavior
A Multilevel Analysis of Neighborhood Context and Youth Alcohol and Drug Problems
Telephone Recruitment of a Random Stratified African American and White Family Study Sample
Few researchers have documented procedures and methods for recruitment of a random sample to assess risky health-related behavior, such as substance use, across different ethnicities. This study describes the recruitment methods used to attain a stratified sample of 368 target youths (African American and White males and females from 9-, 11-, and 13-year-old cohorts), along with all household family members aged 9 and older, representing families…
Family Influences on Youth Alcohol Use
This study examined the effects of demographic and family influences on alcohol use among White and African American youth. Data comprised 400 target youth with a mean age of 11.04 years (SD = 1.68), 51.2% male, 49.8% African American and 50.2% White. Youth alcohol use was hypothesized to be influenced by the child's age, family income, parent status, parent alcohol use, sibling alcohol use, and family cohesion. A four-group multiple-sample struc…
The Social Context of Alcohol Initiation Among African American and White Youth
This study documented the social context of alcohol initiation in children and adolescents, and examined gender, age, and ethnic differences among African Americans and Whites. Data comprised 148 youths reporting that they had tried alcohol, with a mean age of 13 years and a mean alcohol use onset age of 10 years. Most respondents (61%) indicated that they were with their parents when they first used alcohol, half were at home at the time, and ma…
A Multilevel Contextual Model of Neighborhood Collective Efficacy
Different data sources were used to examine hypothesized relations among neighborhood‐, family‐, and individual‐level variables, and perceptions of neighborhood collective efficacy. Data were from 1,105 individuals (56% female, 42% African American, and 58% White) nested within 55 neighborhoods and 392 families, analyzed within a multilevel design using a 3‐level model. At the neighborhood level, the study examined relations between Census, polic…
An introduction to latent growth curve modeling
Sources and Types of Social Support in Youth Physical Activity.
This study examines the influence of sources and types of social support on youth physical activity. The sample comprised 372 youth (mean age=12.05 years, SD=1.63). Youth were 76% White and 50.3% female. The annual household income for the sample was 20% under $30,000; 30% $30,000-$49,999; 25% $50,000-$69,999; 13% $70,000-$89,999; and 12% $90,000 and above. Results revealed that friends who support and watch youth engage in activities are signifi…
Retention of African-American and White Youth in a Longitudinal Substance Use Study
The current investigation discusses successful strategies used to retain N = 405 African-American and White target youth in a longitudinal, non-intervention study focused on alcohol and other drug use. Ninety-one percent of youth remained in the study for all 4 years, including 87% of African-Americans and 96% of Whites. In a logistic regression model incorporating age, ethnicity, income, sex, parent/guardian marital status, parent alcohol use, a…
The ABC’s of LGM
In recent years, we have witnessed an increase in the complexity of theoretical models that attempt to explain behavior from both contextual and developmental perspectives. This increase in the complexity of our theoretical propositions regarding behavior parallels recent methodological advances for the analysis of change. These new analysis techniques have fundamentally altered how we conceptualize and study change. Researchers have begun to ide…
Alcohol Use of African Americans and Whites From Ages 9–20
African American and White youth (N = 405) were assessed annually for 8 years, providing alcohol use data spanning from ages 9-20 years. Alcohol use increased with age, as did binge drinking, drunkenness, peer alcohol use, and ease of obtaining alcohol. At younger ages, the usual alcoholic drink was wine; other drinks were preferred at older ages. Fewer African Americans than Whites reported alcohol use, binge drinking, drunkenness, peer alcohol …
An Introduction to Latent Variable Growth Curve Modeling
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader’s familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input …
Sports Participation and Positive Correlates in African American, Latino, and White Girls
Findings confirm the existence of significant relationships between organized sports participation and positive correlates among early adolescent African American, Latino, and white girls. Despite a few ethnic differences in relationships, the current study revealed more similarities than differences
Psychology (13 works) · Developmental psychology (10 works) · Demography (9 works) · Mathematics (8 works) · Medicine (8 works) · Sociology (8 works) · Computer Science (7 works) · Econometrics (7 works) · African american (6 works) · Demography (6 works)