Peter M Steiner
Biographic Data
| ID | 4124979 |
|---|---|
| NAME | Peter M Steiner |
| GIVEN NAMES | Peter M |
| FAMILY NAME | Steiner |
| SIGNATURE | STEINER P M |
| AFFILIATIONS | University of Wisconsin–Madison |
| ORCID | 0000-0001-7063-6897 |
| VERIFIED | Yes |
| TOTAL WORKS | 22 |
| TOTAL CITATIONS | 28 |
| AUTHOR COUNT | 22 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1976 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Integrating Double/Debiased Machine Learning into Doubly Robust Estimators for Causal Inference
When estimating the causal effect of a treatment on an outcome from observational studies, consistent estimates can only be obtained if the unconfoundedness assumption is met (Rosenbaum & Rubin, 19
Causal research designs and analysis in education
Die »genialste Einsicht der Philosophiegeschichte« und »Sternstunden des griechischen Geistes«.
Two books were published in 2021 that, at first glance, could not be more contrary in terms of their content. Thomas A. Szlezák's Platon and Ernst A. Schmidt's Das Leere. That both books nevertheless have a connection regarding their subject matter will be shown in the following. This connection is even a kind of pivotal point of the present book review. In addition, the first German translation of Theon von Smyrna's Mathematics for the Reading o…
The Exception as the Rule in Art, Law, and Science
The Exception as the Rule in Art, Law, and Science Peter Steiner (bio) Wir bitten euch aber:Was nicht fremd ist, findet befremdlich!Was gewöhnlich ist, findet unerklärlich!Was üblich ist, das soll euch erstaunen.Was die Regel ist, das erkennt als Missbrauch ... —Bertolt Brecht, Die Ausnahme und die Regel.1 If in 1917 when Shklovsky coined his most famous concept "ostranenie"—known in English either in its nominal form of "defamilarization" ("estr…
Gain Scores Revisited
For misguided reasons, social scientists have long been reluctant to use gain scores for estimating causal effects. This article develops graphical models and graph-based arguments to show that gain score methods are a viable strategy for identifying causal treatment effects in observational studies. The proposed graphical models reveal that gain score methods rely on a bias-removing mechanism that is quite different to regular matching or covari…
An Evaluation of Experimental Designs for Constructing Vignette Sets in Factorial Surveys
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling designs can be used to construct small subsets of vignettes. In a simulation study, we compare the three …
Caterina Zanfi
Caterina Zanfi: Bergson und die deutsche Philosophie. 1907-1932. Mit einem Vorwort von Frédéric Worms. In der Übersetzung von Peter Nickl. Freiburg 2018. Karl Alber Verlag. 336 S.
Graphical Models for Quasi-experimental Designs
Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand and, thus, warrant a causal interpretation of the estimated effect. In this article, we discuss and com…
Identifying Causal Estimands for Time-Varying Treatments Measured with Time-Varying (Age or Grade-Based) Instruments
This commentary discusses causal estimands of same-age and same-grade comparisons for assessing grade-retention effects on student ability and performance. Using potential outcomes notation, we show that same-age and same-grade comparisons refer to different retention-promotion contrasts and therefore assess different causal questions. We also comment on deleting versus censoring records of students who dropped out of the study or do not belong t…
Research Designs for Program Evaluation
Over the past two decades, the program evaluation literature has made great advances on improving methodological approaches for establishing causal inference. The two most significant developments include establishing the primacy of design over statistical adjustment procedures for making causal inferences, and using potential outcomes to specify the exact causal estimands produced by the research designs. This chapter presents four research desi…
The importance of covariate selection in controlling for selection bias in observational studies.
The assumption of strongly ignorable treatment assignment is required for eliminating selection bias in observational studies. To meet this assumption, researchers often rely on a strategy of selecting covariates that they think will control for selection bias. Theory indicates that the most important covariates are those highly correlated with both the real selection process and the potential outcomes. However, when planning a study, it is rarel…
Experimental Vignette Studies in Survey Research
Vignette studies use short descriptions of situations or persons (vignettes) that are usually shown to respondents within surveys in order to elicit their judgments about these scenarios. By systematically varying the levels of theoretically important vignette characteristics a large population of different vignettes is typically available – too large to be presented to each respondent. Therefore, each respondent gets only a subset of vignettes. …
How Bias Reduction Is Affected by Covariate Choice, Unreliability, and Mode of Data Analysis
This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the three-arm type. To examine unreliability, simulations of differences in reliability are deliberately intro…
Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments
A key justification for using nonrandomized experiments is that, with proper adjustment, their results can well approximate results from randomized experiments. This hypothesis has not been consistently supported by empirical studies; however, previous methods used to study this hypothesis have confounded assignment method with other study features. To avoid these confounding factors, this study randomly assigned participants to be in a randomize…
Tropos logikos
Gustav G. Spet (1879-1937) byl jedním z oněch impozantních ruských myslitelů, kteří v prvních letech minulého století vedli revolučného posun paradigmatu napříč širokým záběrem humanitních a sociálních věd, který rezonuje dodnes. Chybí nám však celkový pohled na mnohotvárnou heterogenitu jeho intelektuálních snah. Tento článek se soustředí na význačnou mezeru v našich znalostech Speta: teorii dějin, kterou rozvíjel ve druhém desetiletí dvacátého …
Some empirically viable alternatives to random assignment
Experimentelle vignettendesigns in faktoriellen surveys
Metabole and Revolution the Myth of the Platonic Statesman and the Modern Concept of Revolution
Psyche bei Platon
Structure, Sign and Function
On Poetic Language
Welt und Form des Romans bei Jean Paul
An Evaluation of Experimental Designs for Constructing Vignette Sets in Factorial Surveys
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling designs can be used to construct small subsets of vignettes. In a simulation study, we compare the three …
Experimentelle vignettendesigns in faktoriellen surveys
Gain Scores Revisited
For misguided reasons, social scientists have long been reluctant to use gain scores for estimating causal effects. This article develops graphical models and graph-based arguments to show that gain score methods are a viable strategy for identifying causal treatment effects in observational studies. The proposed graphical models reveal that gain score methods rely on a bias-removing mechanism that is quite different to regular matching or covari…
Some empirically viable alternatives to random assignment
Graphical Models for Quasi-experimental Designs
Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand and, thus, warrant a causal interpretation of the estimated effect. In this article, we discuss and com…
Welt und Form des Romans bei Jean Paul
On Poetic Language
Structure, Sign and Function
Psyche bei Platon
Metabole and Revolution the Myth of the Platonic Statesman and the Modern Concept of Revolution
Experimentelle vignettendesigns in faktoriellen surveys
Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments
A key justification for using nonrandomized experiments is that, with proper adjustment, their results can well approximate results from randomized experiments. This hypothesis has not been consistently supported by empirical studies; however, previous methods used to study this hypothesis have confounded assignment method with other study features. To avoid these confounding factors, this study randomly assigned participants to be in a randomize…
Tropos logikos
Gustav G. Spet (1879-1937) byl jedním z oněch impozantních ruských myslitelů, kteří v prvních letech minulého století vedli revolučného posun paradigmatu napříč širokým záběrem humanitních a sociálních věd, který rezonuje dodnes. Chybí nám však celkový pohled na mnohotvárnou heterogenitu jeho intelektuálních snah. Tento článek se soustředí na význačnou mezeru v našich znalostech Speta: teorii dějin, kterou rozvíjel ve druhém desetiletí dvacátého …
Some empirically viable alternatives to random assignment
How Bias Reduction Is Affected by Covariate Choice, Unreliability, and Mode of Data Analysis
This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the three-arm type. To examine unreliability, simulations of differences in reliability are deliberately intro…
The importance of covariate selection in controlling for selection bias in observational studies.
The assumption of strongly ignorable treatment assignment is required for eliminating selection bias in observational studies. To meet this assumption, researchers often rely on a strategy of selecting covariates that they think will control for selection bias. Theory indicates that the most important covariates are those highly correlated with both the real selection process and the potential outcomes. However, when planning a study, it is rarel…
Experimental Vignette Studies in Survey Research
Vignette studies use short descriptions of situations or persons (vignettes) that are usually shown to respondents within surveys in order to elicit their judgments about these scenarios. By systematically varying the levels of theoretically important vignette characteristics a large population of different vignettes is typically available – too large to be presented to each respondent. Therefore, each respondent gets only a subset of vignettes. …
Research Designs for Program Evaluation
Over the past two decades, the program evaluation literature has made great advances on improving methodological approaches for establishing causal inference. The two most significant developments include establishing the primacy of design over statistical adjustment procedures for making causal inferences, and using potential outcomes to specify the exact causal estimands produced by the research designs. This chapter presents four research desi…
Identifying Causal Estimands for Time-Varying Treatments Measured with Time-Varying (Age or Grade-Based) Instruments
This commentary discusses causal estimands of same-age and same-grade comparisons for assessing grade-retention effects on student ability and performance. Using potential outcomes notation, we show that same-age and same-grade comparisons refer to different retention-promotion contrasts and therefore assess different causal questions. We also comment on deleting versus censoring records of students who dropped out of the study or do not belong t…
Graphical Models for Quasi-experimental Designs
Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand and, thus, warrant a causal interpretation of the estimated effect. In this article, we discuss and com…
Caterina Zanfi
Caterina Zanfi: Bergson und die deutsche Philosophie. 1907-1932. Mit einem Vorwort von Frédéric Worms. In der Übersetzung von Peter Nickl. Freiburg 2018. Karl Alber Verlag. 336 S.
An Evaluation of Experimental Designs for Constructing Vignette Sets in Factorial Surveys
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling designs can be used to construct small subsets of vignettes. In a simulation study, we compare the three …
The Exception as the Rule in Art, Law, and Science
The Exception as the Rule in Art, Law, and Science Peter Steiner (bio) Wir bitten euch aber:Was nicht fremd ist, findet befremdlich!Was gewöhnlich ist, findet unerklärlich!Was üblich ist, das soll euch erstaunen.Was die Regel ist, das erkennt als Missbrauch ... —Bertolt Brecht, Die Ausnahme und die Regel.1 If in 1917 when Shklovsky coined his most famous concept "ostranenie"—known in English either in its nominal form of "defamilarization" ("estr…
Gain Scores Revisited
For misguided reasons, social scientists have long been reluctant to use gain scores for estimating causal effects. This article develops graphical models and graph-based arguments to show that gain score methods are a viable strategy for identifying causal treatment effects in observational studies. The proposed graphical models reveal that gain score methods rely on a bias-removing mechanism that is quite different to regular matching or covari…
Die »genialste Einsicht der Philosophiegeschichte« und »Sternstunden des griechischen Geistes«.
Two books were published in 2021 that, at first glance, could not be more contrary in terms of their content. Thomas A. Szlezák's Platon and Ernst A. Schmidt's Das Leere. That both books nevertheless have a connection regarding their subject matter will be shown in the following. This connection is even a kind of pivotal point of the present book review. In addition, the first German translation of Theon von Smyrna's Mathematics for the Reading o…
Causal research designs and analysis in education
Integrating Double/Debiased Machine Learning into Doubly Robust Estimators for Causal Inference
When estimating the causal effect of a treatment on an outcome from observational studies, consistent estimates can only be obtained if the unconfoundedness assumption is met (Rosenbaum & Rubin, 19
Mathematics (12 works) · Advanced Causal Inference Techniques (10 works) · Statistics (10 works) · Computer Science (9 works) · Econometrics (8 works) · Philosophy (8 works) · Psychology (8 works) · Art (6 works) · Causal inference (5 works) · School Choice and Performance (5 works)