Hermann Dülmer
Biographic Data
| ID | 80057 |
|---|---|
| NAME | Hermann Dülmer |
| GIVEN NAMES | Hermann |
| FAMILY NAME | Dülmer |
| SIGNATURE | DÜLMER H |
| AFFILIATIONS | University of Cologne |
| ORCID | 0000-0001-6292-1639 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 137 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
Rising Secularism After Secularization? The Determinants of Transcendent and Immanent Worldviews in Germany 1982–2023
This paper investigates whether transcendent worldviews—those oriented toward a beyond—decline while immanent worldviews—those oriented toward this world—increase. We draw on an inventory spanning positions from theism and deism to naturalism and existentialism, administered seven times in West Germany (1982–2023) and six times in East Germany (1992–2023). In West Germany, existentialist worldviews ranked first, followed by naturalist, theist, an…
Privileges among the privileged: The effect of starting conditions at age 16 on occupational success from age 16 to 66 in an educationally privileged group
Income at age 30, 43, 56, and 66 does not increase continuously with any starting condition, but decreases with intelligence at age 30 and increases with male gender and having a life goal at age 43. And the impact of the earlier successes increases strongly and continuously. In brief, the past throws no shadow and the careers consolidate. The (1 and 2) effectiveness and the control force hypothesis are disconfirmed. Given the irregular impacts o…
Who shall live and who shall die? A factorial survey experiment on prioritizing Covid-19 patients under medical triage conditions
During the 2020 COVID-19 pandemic expert commissions developed ethical guidelines for prioritizing assistance in the event of insufficient resources (triage). However, ethical principles may deviate from laypeople′s moral standards. Our study aims to investigate which factors help laypeople justify for prioritizing a COVID-19 patient and which respondent characteristics–among them for the first time also values–moderate their impact on prioritizi…
Fertility attitudes of highly educated youth: A factorial survey
Objective This study used factorial survey data from five countries to assess the factors that shape young adults' attitudes toward the ideal number of children for described couples. Background Continuously low fertility rates in many Asian and European countries generate an interest in understanding the fertility attitudes of young adults—and the implications for family policies. Method The causal impact of socioeconomic and cultural factors on…
The Factorial Survey: The Impact of the Presentation Format of Vignettes on Answer Behavior and Processing Time
The factorial survey is an experimental design in which the researcher constructs varying descriptions of situations or individual persons (vignettes), which will be judged by respondents with regard to a particular aspect. Some researchers present vignettes in text format as short stories, others present the central information of vignettes in a tabular format. To date, only a few sentences have been published, by Auspurg and Hinz, on the impact…
Social sustainability and social (Dis)trust in outgroups: Evidence from Germany and Spain using the Factorial Survey
In the short to medium term, ethnic diversity tends to reduce trust. This negative relationship can be explained by social identity theory and integrated threat theory. The latter theory distinguishes realistic (socio-economic) threat perceptions from symbolic (cultural) ones. Huntington believes that with the end of the Cold War, conflicts shifted from being primarily economic to cultural, mainly religious ones. The goal of this article is to di…
Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights
It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to why equivalence is biased and proposed employing a multilevel structural equation modeling (MLSEM) app…
Values, Economic Crisis and Democracy
Introduction In 2008, the global financial and economic crisis that hit Europe initiated the worst recession Europe had experienced since the Second World War. In the wake of this so-called “Great Recession” (Cho and Newhouse, 2013; Elsby et al., 2010; Verick and Islam, 2010), millions of jobs were lost resulting in rising levels of unemployment in most European countries. A wave of protests erupted particularly in those countries that were most …
The Factorial Survey: Design Selection and its Impact on Reliability and Internal Validity
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs are not discussed at all. First comparisons of random designs with fractional factorial and D-efficien…
Raising the Question on 'Who Should Get What?' Again: On the Importance of Ideal and Existential Standards
Argumente, Bildung und Moral: Eine Empirische Untersuchung Zu Kohlbergs Theorie des Moralischen Urteils
Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance
Testing for invariance of measurements across groups (such as countries or time points) is essential before meaningful comparisons may be conducted. However, when tested, invariance is often absent. As a result, comparisons across groups are potentially problematic and may be biased. In the current study, we propose utilizing a multilevel structural equation modeling (SEM) approach to provide a framework to explain item bias. We show how variatio…
Experimental Plans in Factorial Surveys: Random or Quota Design
The factorial survey is an experimental design where respondents are asked to judge descriptions of varying situations (vignettes) presented to them. Combining the vignette variables (factors) and their levels is done by the researcher, who also takes the responsibility for getting an optimal design. To represent the universe of possible level combinations as accurately as possible, random designs are mostly used. A possible alternative are quote…
Extreme right‐wing voting in Germany in a multilevel perspective: A rejoinder to Lubbers and Scheepers
In their article about individual and contextual characteristics of the German extreme right‐wing vote in the 1990s, Lubbers and Scheepers (‘Individual and contextual characteristics of the German extreme right‐wing vote in the 1990s: A test of complementary theories’, European Journal of Political Research 38 (2000): 63–94) found a contra‐ intuitive significant negative relationship between unemployment rate and an individual's likelihood of vot…
Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures
Journal Article Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures Get access Markus Klein, Markus Klein Markus Klein, Hermann Dülmer, Dieter Ohr, and Markus Quandt are research assistants at the Central Archive for Empirical Social Research at the University of Cologne. Their research interests are voting behavior, value change, and social science methodology. Address correspondence to Dr. Markus Klein, Cen…
Argumente, Bildung und Moral
Bildung und der Einfluss von Argumenten auf das Moralische Urteil: Eine empirische Analyse zur moralischen Entwicklungstheorie Kohlbergs
Argumente, Bildung und Moral: Eine empirische Untersuchung zu Kohlbergs Theorie des moralischen Urteils
Experimental Plans in Factorial Surveys: Random or Quota Design
The factorial survey is an experimental design where respondents are asked to judge descriptions of varying situations (vignettes) presented to them. Combining the vignette variables (factors) and their levels is done by the researcher, who also takes the responsibility for getting an optimal design. To represent the universe of possible level combinations as accurately as possible, random designs are mostly used. A possible alternative are quote…
Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance
Testing for invariance of measurements across groups (such as countries or time points) is essential before meaningful comparisons may be conducted. However, when tested, invariance is often absent. As a result, comparisons across groups are potentially problematic and may be biased. In the current study, we propose utilizing a multilevel structural equation modeling (SEM) approach to provide a framework to explain item bias. We show how variatio…
Extreme right‐wing voting in Germany in a multilevel perspective: A rejoinder to Lubbers and Scheepers
In their article about individual and contextual characteristics of the German extreme right‐wing vote in the 1990s, Lubbers and Scheepers (‘Individual and contextual characteristics of the German extreme right‐wing vote in the 1990s: A test of complementary theories’, European Journal of Political Research 38 (2000): 63–94) found a contra‐ intuitive significant negative relationship between unemployment rate and an individual's likelihood of vot…
The Factorial Survey: Design Selection and its Impact on Reliability and Internal Validity
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs are not discussed at all. First comparisons of random designs with fractional factorial and D-efficien…
Raising the Question on 'Who Should Get What?' Again: On the Importance of Ideal and Existential Standards
Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights
It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to why equivalence is biased and proposed employing a multilevel structural equation modeling (MLSEM) app…
Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures
Journal Article Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures Get access Markus Klein, Markus Klein Markus Klein, Hermann Dülmer, Dieter Ohr, and Markus Quandt are research assistants at the Central Archive for Empirical Social Research at the University of Cologne. Their research interests are voting behavior, value change, and social science methodology. Address correspondence to Dr. Markus Klein, Cen…
Bildung und der Einfluss von Argumenten auf das Moralische Urteil: Eine empirische Analyse zur moralischen Entwicklungstheorie Kohlbergs
Privileges among the privileged: The effect of starting conditions at age 16 on occupational success from age 16 to 66 in an educationally privileged group
Income at age 30, 43, 56, and 66 does not increase continuously with any starting condition, but decreases with intelligence at age 30 and increases with male gender and having a life goal at age 43. And the impact of the earlier successes increases strongly and continuously. In brief, the past throws no shadow and the careers consolidate. The (1 and 2) effectiveness and the control force hypothesis are disconfirmed. Given the irregular impacts o…
The Factorial Survey: The Impact of the Presentation Format of Vignettes on Answer Behavior and Processing Time
The factorial survey is an experimental design in which the researcher constructs varying descriptions of situations or individual persons (vignettes), which will be judged by respondents with regard to a particular aspect. Some researchers present vignettes in text format as short stories, others present the central information of vignettes in a tabular format. To date, only a few sentences have been published, by Auspurg and Hinz, on the impact…
Argumente, Bildung und Moral: Eine empirische Untersuchung zu Kohlbergs Theorie des moralischen Urteils
Argumente, Bildung und Moral
Bildung und der Einfluss von Argumenten auf das Moralische Urteil: Eine empirische Analyse zur moralischen Entwicklungstheorie Kohlbergs
Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures
Journal Article Response Sets in the Measurement of Values: A Comparison of Rating and Ranking Procedures Get access Markus Klein, Markus Klein Markus Klein, Hermann Dülmer, Dieter Ohr, and Markus Quandt are research assistants at the Central Archive for Empirical Social Research at the University of Cologne. Their research interests are voting behavior, value change, and social science methodology. Address correspondence to Dr. Markus Klein, Cen…
Extreme right‐wing voting in Germany in a multilevel perspective: A rejoinder to Lubbers and Scheepers
In their article about individual and contextual characteristics of the German extreme right‐wing vote in the 1990s, Lubbers and Scheepers (‘Individual and contextual characteristics of the German extreme right‐wing vote in the 1990s: A test of complementary theories’, European Journal of Political Research 38 (2000): 63–94) found a contra‐ intuitive significant negative relationship between unemployment rate and an individual's likelihood of vot…
Experimental Plans in Factorial Surveys: Random or Quota Design
The factorial survey is an experimental design where respondents are asked to judge descriptions of varying situations (vignettes) presented to them. Combining the vignette variables (factors) and their levels is done by the researcher, who also takes the responsibility for getting an optimal design. To represent the universe of possible level combinations as accurately as possible, random designs are mostly used. A possible alternative are quote…
Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance
Testing for invariance of measurements across groups (such as countries or time points) is essential before meaningful comparisons may be conducted. However, when tested, invariance is often absent. As a result, comparisons across groups are potentially problematic and may be biased. In the current study, we propose utilizing a multilevel structural equation modeling (SEM) approach to provide a framework to explain item bias. We show how variatio…
Argumente, Bildung und Moral: Eine Empirische Untersuchung Zu Kohlbergs Theorie des Moralischen Urteils
Raising the Question on 'Who Should Get What?' Again: On the Importance of Ideal and Existential Standards
Values, Economic Crisis and Democracy
Introduction In 2008, the global financial and economic crisis that hit Europe initiated the worst recession Europe had experienced since the Second World War. In the wake of this so-called “Great Recession” (Cho and Newhouse, 2013; Elsby et al., 2010; Verick and Islam, 2010), millions of jobs were lost resulting in rising levels of unemployment in most European countries. A wave of protests erupted particularly in those countries that were most …
The Factorial Survey: Design Selection and its Impact on Reliability and Internal Validity
The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs are not discussed at all. First comparisons of random designs with fractional factorial and D-efficien…
Explaining Measurement Nonequivalence Using Multilevel Structural Equation Modeling: The Case of Attitudes Toward Citizenship Rights
It is necessary to test for equivalence of measurements across groups to guarantee that comparisons of regression coefficients or mean scores of a latent factor are meaningful. Unfortunately, when tested, many scales display nonequivalence. Several researchers have suggested that nonequivalence may be used as a useful source of information as to why equivalence is biased and proposed employing a multilevel structural equation modeling (MLSEM) app…
Social sustainability and social (Dis)trust in outgroups: Evidence from Germany and Spain using the Factorial Survey
In the short to medium term, ethnic diversity tends to reduce trust. This negative relationship can be explained by social identity theory and integrated threat theory. The latter theory distinguishes realistic (socio-economic) threat perceptions from symbolic (cultural) ones. Huntington believes that with the end of the Cold War, conflicts shifted from being primarily economic to cultural, mainly religious ones. The goal of this article is to di…
Fertility attitudes of highly educated youth: A factorial survey
Objective This study used factorial survey data from five countries to assess the factors that shape young adults' attitudes toward the ideal number of children for described couples. Background Continuously low fertility rates in many Asian and European countries generate an interest in understanding the fertility attitudes of young adults—and the implications for family policies. Method The causal impact of socioeconomic and cultural factors on…
The Factorial Survey: The Impact of the Presentation Format of Vignettes on Answer Behavior and Processing Time
The factorial survey is an experimental design in which the researcher constructs varying descriptions of situations or individual persons (vignettes), which will be judged by respondents with regard to a particular aspect. Some researchers present vignettes in text format as short stories, others present the central information of vignettes in a tabular format. To date, only a few sentences have been published, by Auspurg and Hinz, on the impact…
Privileges among the privileged: The effect of starting conditions at age 16 on occupational success from age 16 to 66 in an educationally privileged group
Income at age 30, 43, 56, and 66 does not increase continuously with any starting condition, but decreases with intelligence at age 30 and increases with male gender and having a life goal at age 43. And the impact of the earlier successes increases strongly and continuously. In brief, the past throws no shadow and the careers consolidate. The (1 and 2) effectiveness and the control force hypothesis are disconfirmed. Given the irregular impacts o…
Who shall live and who shall die? A factorial survey experiment on prioritizing Covid-19 patients under medical triage conditions
During the 2020 COVID-19 pandemic expert commissions developed ethical guidelines for prioritizing assistance in the event of insufficient resources (triage). However, ethical principles may deviate from laypeople′s moral standards. Our study aims to investigate which factors help laypeople justify for prioritizing a COVID-19 patient and which respondent characteristics–among them for the first time also values–moderate their impact on prioritizi…
Rising Secularism After Secularization? The Determinants of Transcendent and Immanent Worldviews in Germany 1982–2023
This paper investigates whether transcendent worldviews—those oriented toward a beyond—decline while immanent worldviews—those oriented toward this world—increase. We draw on an inventory spanning positions from theism and deism to naturalism and existentialism, administered seven times in West Germany (1982–2023) and six times in East Germany (1992–2023). In West Germany, existentialist worldviews ranked first, followed by naturalist, theist, an…
Psychology (9 works) · Social and Intergroup Psychology (7 works) · Social Psychology (7 works) · Mathematics (6 works) · Political science (6 works) · Cultural Differences and Values (5 works) · Social Power and Status Dynamics (5 works) · Sociology (5 works) · Statistics (5 works) · Computer Science (4 works)