David Rindskopf
Biographic Data
| ID | 262285 |
|---|---|
| NAME | David Rindskopf |
| GIVEN NAMES | David |
| FAMILY NAME | Rindskopf |
| SIGNATURE | RINDSKOPF D |
| AFFILIATIONS | City University of New York |
| ORCID | 0000-0003-3344-0320 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 25 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 2 |
| FIRST PUBLICATION YEAR | 1979 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 2 |
Reliability: Measurement
The Potential for Glycemic Control Monitoring and Screening for Diabetes at Dental Visits Using Oral Blood
Objectives. We examined the potential for glycemic control monitoring and screening for diabetes in a dental setting among adults (n = 408) with or at risk for diabetes. Methods. In 2013 and 2014, we performed hemoglobin A1c (HbA1c) tests on dried blood samples of gingival crevicular blood and compared these with paired “gold-standard” HbA1c tests with dried finger-stick blood samples in New York City dental clinic patients. We examined differenc…
Single-Case Intervention Research Design Standards
In an effort to responsibly incorporate evidence based on single-case designs (SCDs) into the What Works Clearinghouse (WWC) evidence base, the WWC assembled a panel of individuals with expertise in quantitative methods and SCD methodology to draft SCD standards. In this article, the panel provides an overview of the SCD standards recommended by the panel (henceforth referred to as the Standards) and adopted in Version 1.0 of the WWC’s official p…
APA handbook of research methods in psychology, Vol 3: Data analysis and research publication.
APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological.
Enhancing Drug Treatment Program Staff's Self-Efficacy to Support Patients' HCV Needs
To increase HCV-related support for patients in substance abuse treatment programs, we implemented an on-site staff training in 16 programs throughout the United States. It aimed to increase participants' self-efficacy in assisting patients with their HCV-related needs. Findings indicate that participants' self-efficacy increased both 1- and 3-months post-training, resulting in providers' perceptions that they were better able to support patients…
The dental office visit as a potential opportunity for diabetes screening: An analysis using NHANES 2003-2004 data
As almost all individuals with periodontitis would have been recommended for diabetes screening, and many at-risk persons with periodontal disease recently visited a dentist, our data suggest that the dental visit provides an important potential venue for this screening
Assessing the Consequences of Using Self-report Data to Determine the Correlates of HIV Status: Conditional and Marginal Approaches
This article examines whether relationships between individual characteristics and HIV status can be identified when self-report data are used as a proxy for HIV serotest results. The analyses use data obtained from HIV serotests and face-to-face interviews with 7,256 out-of-treatment drug users in ten sites from 1992 to 1998. Relationships between 17 individual characteristics and HIV status (measured both by self-report and serotest results) we…
Modeling Relationships Between Two Categorical Variables When Data Are Missing: Examining Consequences of the Missing Data Mechanism in an HIV Data Set
Analysts evaluating the strengths of relationships between variables in behavioral science research must often contend with the problem of missing data. Analyses are typically performed using data for cases that are either complete in all the variables, or assume that the data are missing at random. Often, these approaches yield biased results. Using empirical data, the current work explores the implications and consequences of using various stat…
Using Multilevel Modeling in the Evaluation of Community-Based Treatment Programs
The Visibility of Illicit Drugs: Implications for Community-Based Drug Control Strategies
Objectives. This study examined differences between the visibility of drugs and drug use in more than 2100 neighborhoods, challenging an assumption about drug use in poor, minority, and urban communities. Methods. A telephone survey assessed substance use and attitudes across 41 communities in an evaluation of a national community-based demand reduction program. Three waves of data were collected from more than 42 000 respondents. Results. Measur…
Using odds ratios as effect sizes for meta-analysis of dichotomous data: A primer on methods and issues.
Nonstandard log-linear models
Nonstandard log-linear models
Methodological Advances Catch up with Common Educational Research Designs
Some Theory and Applications of Confirmatory Second-Order Factor Analysis
This paper shows how confirmatory factor analysis can be used to test second- (and higher-) order factor models in the areas of the structure of abilities, allometry, and the separation of specific and error variance estimates. In the latter area, an idea of Joreskog's is extended to include a new conceptualization of the estimation of validity. Second-order models are placed in a hierarchy of factor analysis models, which shows how the fit of va…
Using latent class analysis to test developmental models*1
Linear equality restrictions in regression and loglinear models
Linear equality restrictions in regression and loglinear models
Structural Equation Models: Empirical Identification, Heywood Cases, and Related Problems
Heywood cases represent the most common form of a series of related problems in confirmatory factor analysis and structural equation modeling. Other problems include factor loadings and factor correlations outside the usual range, large variances of parameter estimates, and high correlations between parameter estimates. The concept of empirical underidentification is used here to show how these problems can arise, and under what conditions they c…
Randomized Experiments for Evaluating and Planning Local Programs: A Summary on Appropriateness and Feasibility
The article discusses randomized experiments for evaluating and planning local programs in the U.S. The simplest justification for assigning people randomly to alternative programs is tied to the idea that estimates of a programs costs and effects ought to be as fair and as unequivocal as possible. By unequivocal it is meant that any post-program difference in health status between two groups will be clearly attributable to the differences in eff…
The Visibility of Illicit Drugs: Implications for Community-Based Drug Control Strategies
Objectives. This study examined differences between the visibility of drugs and drug use in more than 2100 neighborhoods, challenging an assumption about drug use in poor, minority, and urban communities. Methods. A telephone survey assessed substance use and attitudes across 41 communities in an evaluation of a national community-based demand reduction program. Three waves of data were collected from more than 42 000 respondents. Results. Measur…
Structural Equation Models: Empirical Identification, Heywood Cases, and Related Problems
Heywood cases represent the most common form of a series of related problems in confirmatory factor analysis and structural equation modeling. Other problems include factor loadings and factor correlations outside the usual range, large variances of parameter estimates, and high correlations between parameter estimates. The concept of empirical underidentification is used here to show how these problems can arise, and under what conditions they c…
Linear equality restrictions in regression and loglinear models
Randomized Experiments for Evaluating and Planning Local Programs: A Summary on Appropriateness and Feasibility
The article discusses randomized experiments for evaluating and planning local programs in the U.S. The simplest justification for assigning people randomly to alternative programs is tied to the idea that estimates of a programs costs and effects ought to be as fair and as unequivocal as possible. By unequivocal it is meant that any post-program difference in health status between two groups will be clearly attributable to the differences in eff…
Linear equality restrictions in regression and loglinear models
Linear equality restrictions in regression and loglinear models
Structural Equation Models: Empirical Identification, Heywood Cases, and Related Problems
Heywood cases represent the most common form of a series of related problems in confirmatory factor analysis and structural equation modeling. Other problems include factor loadings and factor correlations outside the usual range, large variances of parameter estimates, and high correlations between parameter estimates. The concept of empirical underidentification is used here to show how these problems can arise, and under what conditions they c…
Using latent class analysis to test developmental models*1
Some Theory and Applications of Confirmatory Second-Order Factor Analysis
This paper shows how confirmatory factor analysis can be used to test second- (and higher-) order factor models in the areas of the structure of abilities, allometry, and the separation of specific and error variance estimates. In the latter area, an idea of Joreskog's is extended to include a new conceptualization of the estimation of validity. Second-order models are placed in a hierarchy of factor analysis models, which shows how the fit of va…
Nonstandard log-linear models
Nonstandard log-linear models
Methodological Advances Catch up with Common Educational Research Designs
Using odds ratios as effect sizes for meta-analysis of dichotomous data: A primer on methods and issues.
Modeling Relationships Between Two Categorical Variables When Data Are Missing: Examining Consequences of the Missing Data Mechanism in an HIV Data Set
Analysts evaluating the strengths of relationships between variables in behavioral science research must often contend with the problem of missing data. Analyses are typically performed using data for cases that are either complete in all the variables, or assume that the data are missing at random. Often, these approaches yield biased results. Using empirical data, the current work explores the implications and consequences of using various stat…
Using Multilevel Modeling in the Evaluation of Community-Based Treatment Programs
The Visibility of Illicit Drugs: Implications for Community-Based Drug Control Strategies
Objectives. This study examined differences between the visibility of drugs and drug use in more than 2100 neighborhoods, challenging an assumption about drug use in poor, minority, and urban communities. Methods. A telephone survey assessed substance use and attitudes across 41 communities in an evaluation of a national community-based demand reduction program. Three waves of data were collected from more than 42 000 respondents. Results. Measur…
Assessing the Consequences of Using Self-report Data to Determine the Correlates of HIV Status: Conditional and Marginal Approaches
This article examines whether relationships between individual characteristics and HIV status can be identified when self-report data are used as a proxy for HIV serotest results. The analyses use data obtained from HIV serotests and face-to-face interviews with 7,256 out-of-treatment drug users in ten sites from 1992 to 1998. Relationships between 17 individual characteristics and HIV status (measured both by self-report and serotest results) we…
The dental office visit as a potential opportunity for diabetes screening: An analysis using NHANES 2003-2004 data
As almost all individuals with periodontitis would have been recommended for diabetes screening, and many at-risk persons with periodontal disease recently visited a dentist, our data suggest that the dental visit provides an important potential venue for this screening
Enhancing Drug Treatment Program Staff's Self-Efficacy to Support Patients' HCV Needs
To increase HCV-related support for patients in substance abuse treatment programs, we implemented an on-site staff training in 16 programs throughout the United States. It aimed to increase participants' self-efficacy in assisting patients with their HCV-related needs. Findings indicate that participants' self-efficacy increased both 1- and 3-months post-training, resulting in providers' perceptions that they were better able to support patients…
APA handbook of research methods in psychology, Vol 3: Data analysis and research publication.
APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological.
Single-Case Intervention Research Design Standards
In an effort to responsibly incorporate evidence based on single-case designs (SCDs) into the What Works Clearinghouse (WWC) evidence base, the WWC assembled a panel of individuals with expertise in quantitative methods and SCD methodology to draft SCD standards. In this article, the panel provides an overview of the SCD standards recommended by the panel (henceforth referred to as the Standards) and adopted in Version 1.0 of the WWC’s official p…
Reliability: Measurement
The Potential for Glycemic Control Monitoring and Screening for Diabetes at Dental Visits Using Oral Blood
Objectives. We examined the potential for glycemic control monitoring and screening for diabetes in a dental setting among adults (n = 408) with or at risk for diabetes. Methods. In 2013 and 2014, we performed hemoglobin A1c (HbA1c) tests on dried blood samples of gingival crevicular blood and compared these with paired “gold-standard” HbA1c tests with dried finger-stick blood samples in New York City dental clinic patients. We examined differenc…
Psychology (11 works) · Computer Science (10 works) · Mathematics (10 works) · Statistics (10 works) · Econometrics (8 works) · Medicine (7 works) · Linear model (4 works) · Log-linear model (4 works) · Advanced Statistical Methods and Models (3 works) · Applied Psychology (3 works)