Christian Geiser
Biographic Data
| ID | 194311 |
|---|---|
| NAME | Christian Geiser |
| GIVEN NAMES | Christian |
| FAMILY NAME | Geiser |
| SIGNATURE | GEISER C |
| AFFILIATIONS | Utah State University |
| ORCID | 0000-0001-7664-8784 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 33 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 4 |
Do method effects generalize across traits (and what if they don't)
OBJECTIVE: Multitrait-multimethod (MTMM) data can be analyzed with single-indicator confirmatory factor analysis (CFA-MTMM) models. Most single-indicator CFA-MTMM models imply-but do not allow testing-the restrictive assumption that method biases generalize (correlate) perfectly across different traits for a given method. METHOD: To examine the validity of this assumption, we identified and reviewed 20 published applications of multiple-indicator…
Longitudinal data analysis
A latent state–trait model for analyzing states, traits, situations, method effects, and their interactions
OBJECTIVE: Studies on situation and Person × Situation interaction effects often use only one method of measurement, so that the extent to which the effects may be method-specific cannot be determined. We introduce a new multimethod latent state-trait model for random and fixed situations (MM-LST-RF), which allows examining person, situation, and Person × Situation interaction effects in the context of multimethod measurement designs (e.g., studi…
The importance of face-to-face contact and reciprocal relationships and their associations with depressive symptoms and life satisfaction
Anomalous results in G-factor models
G-factor models such as the bifactor model and the hierarchical G-factor model are increasingly applied in psychology. Many applications of these models have produced anomalous and unexpected results that are often not in line with the theoretical assumptions on which these applications are based. Examples of such anomalous results are vanishing specific factors and irregular loading patterns. In this article, the authors show that from the persp…
A Theory of States and Traits—Revised
We present a revision of latent state-trait (LST-R) theory with new definitions of states and traits. This theory applies whenever we study the consistency of behavior, its variability, and its change over time. States and traits are defined in terms of probability theory. This allows for a seamless transition from theory to statistical modeling of empirical data. LST-R theory not only gives insights into the nature of latent variables but it als…
Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study
The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2000), number, and quality of binary indicators (between 4 and 12 indicators with conditional response probabilities of [0.3, 0.7], [0.2, 0.8], or [0.1, 0.9]), and the strength of covariate effects (zero, small, medium, large) in a Monte Carlo simulation study o…
Medical professionalism
BackgroundUse of social networking services (SNS) is on the rise. While many users sign in for personal purposes, it is not uncommon for professionals to connect over SNSs with clients, students, and patients.MethodsThe present study used an experimental approach to examine how medical doctors’ SNS profiles impacted potential patients’ impressions of professionalism. Participants (N=250 students) were randomly assigned to view one of six Facebook…
On the consistency of personality types across adulthood
Consistency and change in personality were analyzed by examining personality types across adulthood and old age using data from 2 nationally representative panel studies from Germany (N = 14,718; 16-82 years) and Australia (N = 8,315; 15-79 years). In both samples, the Big Five personality traits were measured twice across a period of 4 years. Latent profile analyses and latent profile transition analyses revealed 4 main findings: First, solution…
Stability and change in intelligence from age 12 to age 52
The present longitudinal study tackled 2 key aspects of the development of intelligence across a 40-year time period from age 12 to age 52 concerning (a) stability and change in the structure of intelligence with reference to the age differentiation-dedifferentiation hypothesis (how different cognitive abilities relate to each other across age) and (b) differential stabilities (the rank ordering of persons' intelligence levels across time). To th…
Cross-Cultural Differences in Spatial Abilities and Solution Strategies- An Investigation in Cambodia and Germany
Cultural differences in performance and solution strategies on the Mental Rotations Test (MRT; Peters et al., 1995; Vandenberg & Kuse, 1978) and the Cube Comparison Test (CCT; Amthauer, Brocke, Liepmann, & Beauducel, 2001) were studied in 656 Cambodian and German students. Germans outperformed Cambodians on both the MRT ( d = 1.57) and CCT ( d = 0.99). The large differences could be explained by Cambodian participants being more prone to analytic…
Datenanalyse mit Mplus
Datenanalyse mit Mplus
Datenanalyse Mit Mplus
Datenanalyse mit Mplus
Datenanalyse Mit Mplus
Analyzing true change in longitudinal multitrait-multimethod studies
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate true change from measurement error and to analyze change simultaneously for different methods. The a…
Changes in Intentions, Planning, and Self-efficacy Predict Changes in Behaviors
Can latent true changes in intention, planning, and self-efficacy account for latent change in two health behaviors (physical activity as well as fruit and vegetable intake)? Baseline data on predictors and behaviors and corresponding follow-up data four weeks later were collected from 853 participants. Interindividual differences in change and change-change associations were analyzed using structural equation modeling. For both behaviors, simila…
Datenanalyse mit Mplus
Separating "Rotators" From "Nonrotators" in the Mental Rotations Test
Items of mental rotation tests can not only be solved by mental rotation but also by other solution strategies. A multigroup latent class analysis of 24 items of the Mental Rotations Test (MRT) was conducted in a sample of 1,695 German pupils and students to find out how many solution strategies can be identified for the items of this test. The results showed that five subgroups (latent classes) can be distinguished. Although three of the subgrou…
Changes in Intentions, Planning, and Self-efficacy Predict Changes in Behaviors
Can latent true changes in intention, planning, and self-efficacy account for latent change in two health behaviors (physical activity as well as fruit and vegetable intake)? Baseline data on predictors and behaviors and corresponding follow-up data four weeks later were collected from 853 participants. Interindividual differences in change and change-change associations were analyzed using structural equation modeling. For both behaviors, simila…
On the consistency of personality types across adulthood
Consistency and change in personality were analyzed by examining personality types across adulthood and old age using data from 2 nationally representative panel studies from Germany (N = 14,718; 16-82 years) and Australia (N = 8,315; 15-79 years). In both samples, the Big Five personality traits were measured twice across a period of 4 years. Latent profile analyses and latent profile transition analyses revealed 4 main findings: First, solution…
Analyzing true change in longitudinal multitrait-multimethod studies
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate true change from measurement error and to analyze change simultaneously for different methods. The a…
Stability and change in intelligence from age 12 to age 52
The present longitudinal study tackled 2 key aspects of the development of intelligence across a 40-year time period from age 12 to age 52 concerning (a) stability and change in the structure of intelligence with reference to the age differentiation-dedifferentiation hypothesis (how different cognitive abilities relate to each other across age) and (b) differential stabilities (the rank ordering of persons' intelligence levels across time). To th…
Separating "Rotators" From "Nonrotators" in the Mental Rotations Test
Items of mental rotation tests can not only be solved by mental rotation but also by other solution strategies. A multigroup latent class analysis of 24 items of the Mental Rotations Test (MRT) was conducted in a sample of 1,695 German pupils and students to find out how many solution strategies can be identified for the items of this test. The results showed that five subgroups (latent classes) can be distinguished. Although three of the subgrou…
Datenanalyse mit Mplus
Datenanalyse mit Mplus
Datenanalyse Mit Mplus
Analyzing true change in longitudinal multitrait-multimethod studies
The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate true change from measurement error and to analyze change simultaneously for different methods. The a…
Changes in Intentions, Planning, and Self-efficacy Predict Changes in Behaviors
Can latent true changes in intention, planning, and self-efficacy account for latent change in two health behaviors (physical activity as well as fruit and vegetable intake)? Baseline data on predictors and behaviors and corresponding follow-up data four weeks later were collected from 853 participants. Interindividual differences in change and change-change associations were analyzed using structural equation modeling. For both behaviors, simila…
Datenanalyse mit Mplus
Datenanalyse mit Mplus
Datenanalyse Mit Mplus
Cross-Cultural Differences in Spatial Abilities and Solution Strategies- An Investigation in Cambodia and Germany
Cultural differences in performance and solution strategies on the Mental Rotations Test (MRT; Peters et al., 1995; Vandenberg & Kuse, 1978) and the Cube Comparison Test (CCT; Amthauer, Brocke, Liepmann, & Beauducel, 2001) were studied in 656 Cambodian and German students. Germans outperformed Cambodians on both the MRT ( d = 1.57) and CCT ( d = 0.99). The large differences could be explained by Cambodian participants being more prone to analytic…
Stability and change in intelligence from age 12 to age 52
The present longitudinal study tackled 2 key aspects of the development of intelligence across a 40-year time period from age 12 to age 52 concerning (a) stability and change in the structure of intelligence with reference to the age differentiation-dedifferentiation hypothesis (how different cognitive abilities relate to each other across age) and (b) differential stabilities (the rank ordering of persons' intelligence levels across time). To th…
Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study
The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2000), number, and quality of binary indicators (between 4 and 12 indicators with conditional response probabilities of [0.3, 0.7], [0.2, 0.8], or [0.1, 0.9]), and the strength of covariate effects (zero, small, medium, large) in a Monte Carlo simulation study o…
Medical professionalism
BackgroundUse of social networking services (SNS) is on the rise. While many users sign in for personal purposes, it is not uncommon for professionals to connect over SNSs with clients, students, and patients.MethodsThe present study used an experimental approach to examine how medical doctors’ SNS profiles impacted potential patients’ impressions of professionalism. Participants (N=250 students) were randomly assigned to view one of six Facebook…
On the consistency of personality types across adulthood
Consistency and change in personality were analyzed by examining personality types across adulthood and old age using data from 2 nationally representative panel studies from Germany (N = 14,718; 16-82 years) and Australia (N = 8,315; 15-79 years). In both samples, the Big Five personality traits were measured twice across a period of 4 years. Latent profile analyses and latent profile transition analyses revealed 4 main findings: First, solution…
A Theory of States and Traits—Revised
We present a revision of latent state-trait (LST-R) theory with new definitions of states and traits. This theory applies whenever we study the consistency of behavior, its variability, and its change over time. States and traits are defined in terms of probability theory. This allows for a seamless transition from theory to statistical modeling of empirical data. LST-R theory not only gives insights into the nature of latent variables but it als…
Anomalous results in G-factor models
G-factor models such as the bifactor model and the hierarchical G-factor model are increasingly applied in psychology. Many applications of these models have produced anomalous and unexpected results that are often not in line with the theoretical assumptions on which these applications are based. Examples of such anomalous results are vanishing specific factors and irregular loading patterns. In this article, the authors show that from the persp…
A latent state–trait model for analyzing states, traits, situations, method effects, and their interactions
OBJECTIVE: Studies on situation and Person × Situation interaction effects often use only one method of measurement, so that the extent to which the effects may be method-specific cannot be determined. We introduce a new multimethod latent state-trait model for random and fixed situations (MM-LST-RF), which allows examining person, situation, and Person × Situation interaction effects in the context of multimethod measurement designs (e.g., studi…
The importance of face-to-face contact and reciprocal relationships and their associations with depressive symptoms and life satisfaction
Do method effects generalize across traits (and what if they don't)
OBJECTIVE: Multitrait-multimethod (MTMM) data can be analyzed with single-indicator confirmatory factor analysis (CFA-MTMM) models. Most single-indicator CFA-MTMM models imply-but do not allow testing-the restrictive assumption that method biases generalize (correlate) perfectly across different traits for a given method. METHOD: To examine the validity of this assumption, we identified and reviewed 20 published applications of multiple-indicator…
Longitudinal data analysis
Psychology (16 works) · Mathematics (8 works) · Statistics (8 works) · Developmental psychology (7 works) · Computer Science (6 works) · Mental Health Research Topics (6 works) · Cognitive Abilities and Testing (5 works) · Econometrics (4 works) · Evaluation (4 works) · Mplus (4 works)