Michael J Zyphur
Biographic Data
| ID | 4234441 |
|---|---|
| NAME | Michael J Zyphur |
| GIVEN NAMES | Michael J |
| FAMILY NAME | Zyphur |
| SIGNATURE | ZYPHUR M J |
| AFFILIATIONS | The University of Melbourne |
| ORCID | 0000-0003-3237-7892 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 69 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 4 |
Testing relational turbulence theory in daily life using dynamic structural equation modeling
Using dynamic structural equation modeling (DSEM; Asparouhov et al., 2018), this study tests how partner disruptions of daily routines create a chaotic relational state through intensified emotions directed at partners, as posited by relational turbulence theory (RTT; Solomon et al., 2016). To test this affective process, individuals in dating relationships (N = 130) completed daily surveys for 30 days (T = 30; 3,478 total observations), measurin…
Beyond Experiments
It is often claimed that only experiments can support strong causal inferences and therefore they should be privileged in the behavioral sciences. We disagree. Overvaluing experiments results in their overuse both by researchers and decision makers and in an underappreciation of their shortcomings. Neglect of other methods often follows. Experiments can suggest whether X causes Y in a specific experimental setting; however, they often fail to elu…
Justice and Inclusion Mutually Cause Each Other
Justice should increase inclusion because just treatment conveys acceptance and enables social exchanges that build cohesion. Inclusion should increase justice because people can use inclusion as a convenient fairness cue. Prior research touches on these causal associations but relies on a thin conception of inclusion and neglects within-person effects. We analyze whether justice causes inclusion at the within-person level. Five waves of data wer…
Structural Equation Modeling in Organizational Research: The State of Our Science and Some Proposals for Its Future
The use of structural equation modeling (SEM) has grown substantially over the past 40 years within organizational research and beyond. There have been many different developments in SEM that make it increasingly useful for a variety of data types, research designs, research questions, and research contexts in the organizational sciences. To give researchers a better understanding of how and why SEM is used, our article ( a) presents a review of …
The cultural dynamics of concept creep
Emerging methods for studying cultural dynamics allow researchers to investigate cultural change with newfound rigor. One change that has recently attracted the attention of social commentators is "concept creep," the semantic inflation of harm-related concepts such as trauma, bullying, and prejudice. In theory, concept creep is driven distally by several recent cultural and societal trends, but psychology also plays a proximal role in developing…
From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the rela…
Modeling interaction as a complex system
Researchers in Human-Computer Interaction typically rely on experiments to assess the causal effects of experimental conditions on variables of interest. Although this classic approach can be very useful, it offers little help in tackling questions of causality in the kind of data that are increasingly common in HCI – capturing user behavior ‘in the wild.’ To analyze such data, model-based regressions such as cross-lagged panel models or vector a…
The handbook of multilevel theory, measurement, and analysis
This handbook provides guidance to organizational and social science scholars interested in pursuing multilevel research.\n\nOrganizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations.\n\nMultilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental t…
How does it feel to be treated like an object? Direct and indirect effects of exposure to sexual objectification on women’s emotions in daily life
Exposure to sexual objectification is an everyday experience for many women, yet little is known about its emotional consequences. Fredrickson and Roberts' (1997) objectification theory proposed a within-person process, wherein exposure to sexual objectification causes women to adopt a third-person perspective on their bodies, labeled self-objectification, which has harmful downstream consequences for their emotional well-being. However, previous…
Multilevel structural equation models for assessing moderation within and across levels of analysis.
Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses and tests of multilevel moderation within and across levels of analysis. Unfortunately, existing approaches to multilevel moderation have a variety of shortcomings, including conflated effects across levels of analysis and bias due to using observed cluster…
Loneliness over time: The crucial role of social anxiety.
Loneliness is known to be associated with multiple adverse physical outcomes, including higher mortality and morbidity risk. However, the impact of loneliness on mental health is less well researched, with most studies assessing how loneliness relates to depressive symptoms alone. We hypothesized that 2 mental health symptoms that relate to the fear of others-social anxiety and paranoia-would contribute to loneliness. We examined how loneliness r…
Disentangling sunk-costs and completion proximity: The role of regulatory focus
Bayesian Estimation and Inference: A User’s Guide
This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation and inference are first reviewed. Then, two empirical examples are provided to show how Bayesian methods can overcome limitations of frequentist methods: (a) a structural equation model of testosterone’s effect on status in teams, where a Bayesian approach al…
Reliability estimation in a multilevel confirmatory factor analysis framework.
Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group). Because methodological guidance on assessing and reporting reliability at multiple levels of analysis is currently lacking, we discuss the importance of examining level-specific reliability. We present a simulation study and an applied example showing differ…
Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM
Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoretical rationale has been provided for why multilevel structural equation modeling (MSEM) should be preferred. However, to date, no empirical evidence of MSEM's advantages relative to MLM approaches for multilevel mediation analysis has been provided. Nor has it…
A general multilevel SEM framework for assessing multilevel mediation.
Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover, these methods have each appeared in isolation, so a unified framework that integrates the existing me…
The genetics of economic risk preferences
We examine the influence of genetics on economic risk preferences by administering a measure of these preferences to monozygotic (MZ) (i.e., identical) and dizygotic (DZ) (i.e., non‐identical) twin pairs. Our analysis supports a dominant genetic effect and virtually no additive genetic effect on economic risk preferences, with the heritability of preferences estimated at 0.63. These findings suggest that over half of the variation in such prefere…
Testing 1, 2, 3, …4? The personality of repeat SAT test takers and their testing outcomes
Ways of interacting: The standardization of communication in medical training
This study explains the effects of medical institutionalization on the framing of doctor—patient interviews. We draw on Weberian, Habermasian, and Foucaultian perspectives to explain the ways that occupational rationalities are embodied in doctor—patient encounters, and how these rationalities structure and are structured by occupational conceptions of medical clients. We use the results of par ticipant-obser ver methods to demonstrate specific i…
Investigating the effects of caseworker characteristics in child welfare
Investigating the effects of caseworker characteristics in child welfare
How does it feel to be treated like an object? Direct and indirect effects of exposure to sexual objectification on women’s emotions in daily life
Exposure to sexual objectification is an everyday experience for many women, yet little is known about its emotional consequences. Fredrickson and Roberts' (1997) objectification theory proposed a within-person process, wherein exposure to sexual objectification causes women to adopt a third-person perspective on their bodies, labeled self-objectification, which has harmful downstream consequences for their emotional well-being. However, previous…
The genetics of economic risk preferences
We examine the influence of genetics on economic risk preferences by administering a measure of these preferences to monozygotic (MZ) (i.e., identical) and dizygotic (DZ) (i.e., non‐identical) twin pairs. Our analysis supports a dominant genetic effect and virtually no additive genetic effect on economic risk preferences, with the heritability of preferences estimated at 0.63. These findings suggest that over half of the variation in such prefere…
Ways of interacting: The standardization of communication in medical training
This study explains the effects of medical institutionalization on the framing of doctor—patient interviews. We draw on Weberian, Habermasian, and Foucaultian perspectives to explain the ways that occupational rationalities are embodied in doctor—patient encounters, and how these rationalities structure and are structured by occupational conceptions of medical clients. We use the results of par ticipant-obser ver methods to demonstrate specific i…
The cultural dynamics of concept creep
Emerging methods for studying cultural dynamics allow researchers to investigate cultural change with newfound rigor. One change that has recently attracted the attention of social commentators is "concept creep," the semantic inflation of harm-related concepts such as trauma, bullying, and prejudice. In theory, concept creep is driven distally by several recent cultural and societal trends, but psychology also plays a proximal role in developing…
Investigating the effects of caseworker characteristics in child welfare
Testing 1, 2, 3, …4? The personality of repeat SAT test takers and their testing outcomes
Ways of interacting: The standardization of communication in medical training
This study explains the effects of medical institutionalization on the framing of doctor—patient interviews. We draw on Weberian, Habermasian, and Foucaultian perspectives to explain the ways that occupational rationalities are embodied in doctor—patient encounters, and how these rationalities structure and are structured by occupational conceptions of medical clients. We use the results of par ticipant-obser ver methods to demonstrate specific i…
The genetics of economic risk preferences
We examine the influence of genetics on economic risk preferences by administering a measure of these preferences to monozygotic (MZ) (i.e., identical) and dizygotic (DZ) (i.e., non‐identical) twin pairs. Our analysis supports a dominant genetic effect and virtually no additive genetic effect on economic risk preferences, with the heritability of preferences estimated at 0.63. These findings suggest that over half of the variation in such prefere…
A general multilevel SEM framework for assessing multilevel mediation.
Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover, these methods have each appeared in isolation, so a unified framework that integrates the existing me…
Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM
Multilevel modeling (MLM) is a popular way of assessing mediation effects with clustered data. Two important limitations of this approach have been identified in prior research and a theoretical rationale has been provided for why multilevel structural equation modeling (MSEM) should be preferred. However, to date, no empirical evidence of MSEM's advantages relative to MLM approaches for multilevel mediation analysis has been provided. Nor has it…
Reliability estimation in a multilevel confirmatory factor analysis framework.
Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group). Because methodological guidance on assessing and reporting reliability at multiple levels of analysis is currently lacking, we discuss the importance of examining level-specific reliability. We present a simulation study and an applied example showing differ…
Bayesian Estimation and Inference: A User’s Guide
This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines but has yet to gain a foothold in organizational research. The foundations of Bayesian estimation and inference are first reviewed. Then, two empirical examples are provided to show how Bayesian methods can overcome limitations of frequentist methods: (a) a structural equation model of testosterone’s effect on status in teams, where a Bayesian approach al…
Multilevel structural equation models for assessing moderation within and across levels of analysis.
Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses and tests of multilevel moderation within and across levels of analysis. Unfortunately, existing approaches to multilevel moderation have a variety of shortcomings, including conflated effects across levels of analysis and bias due to using observed cluster…
Loneliness over time: The crucial role of social anxiety.
Loneliness is known to be associated with multiple adverse physical outcomes, including higher mortality and morbidity risk. However, the impact of loneliness on mental health is less well researched, with most studies assessing how loneliness relates to depressive symptoms alone. We hypothesized that 2 mental health symptoms that relate to the fear of others-social anxiety and paranoia-would contribute to loneliness. We examined how loneliness r…
Disentangling sunk-costs and completion proximity: The role of regulatory focus
The handbook of multilevel theory, measurement, and analysis
This handbook provides guidance to organizational and social science scholars interested in pursuing multilevel research.\n\nOrganizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations.\n\nMultilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental t…
How does it feel to be treated like an object? Direct and indirect effects of exposure to sexual objectification on women’s emotions in daily life
Exposure to sexual objectification is an everyday experience for many women, yet little is known about its emotional consequences. Fredrickson and Roberts' (1997) objectification theory proposed a within-person process, wherein exposure to sexual objectification causes women to adopt a third-person perspective on their bodies, labeled self-objectification, which has harmful downstream consequences for their emotional well-being. However, previous…
From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data in a structural equation modeling (SEM) framework. Starting with a cross-lagged approach, this paper builds a general cross-lagged panel model (GCLM) with parameters to account for stable factors while increasing the range of dynamic processes that can be modeled. We illustrate the GCLM by examining the rela…
Modeling interaction as a complex system
Researchers in Human-Computer Interaction typically rely on experiments to assess the causal effects of experimental conditions on variables of interest. Although this classic approach can be very useful, it offers little help in tackling questions of causality in the kind of data that are increasingly common in HCI – capturing user behavior ‘in the wild.’ To analyze such data, model-based regressions such as cross-lagged panel models or vector a…
The cultural dynamics of concept creep
Emerging methods for studying cultural dynamics allow researchers to investigate cultural change with newfound rigor. One change that has recently attracted the attention of social commentators is "concept creep," the semantic inflation of harm-related concepts such as trauma, bullying, and prejudice. In theory, concept creep is driven distally by several recent cultural and societal trends, but psychology also plays a proximal role in developing…
Beyond Experiments
It is often claimed that only experiments can support strong causal inferences and therefore they should be privileged in the behavioral sciences. We disagree. Overvaluing experiments results in their overuse both by researchers and decision makers and in an underappreciation of their shortcomings. Neglect of other methods often follows. Experiments can suggest whether X causes Y in a specific experimental setting; however, they often fail to elu…
Justice and Inclusion Mutually Cause Each Other
Justice should increase inclusion because just treatment conveys acceptance and enables social exchanges that build cohesion. Inclusion should increase justice because people can use inclusion as a convenient fairness cue. Prior research touches on these causal associations but relies on a thin conception of inclusion and neglects within-person effects. We analyze whether justice causes inclusion at the within-person level. Five waves of data wer…
Structural Equation Modeling in Organizational Research: The State of Our Science and Some Proposals for Its Future
The use of structural equation modeling (SEM) has grown substantially over the past 40 years within organizational research and beyond. There have been many different developments in SEM that make it increasingly useful for a variety of data types, research designs, research questions, and research contexts in the organizational sciences. To give researchers a better understanding of how and why SEM is used, our article ( a) presents a review of …
Testing relational turbulence theory in daily life using dynamic structural equation modeling
Using dynamic structural equation modeling (DSEM; Asparouhov et al., 2018), this study tests how partner disruptions of daily routines create a chaotic relational state through intensified emotions directed at partners, as posited by relational turbulence theory (RTT; Solomon et al., 2016). To test this affective process, individuals in dating relationships (N = 130) completed daily surveys for 30 days (T = 30; 3,478 total observations), measurin…
Psychology (13 works) · Computer Science (11 works) · Econometrics (7 works) · Mathematics (7 works) · Social Psychology (7 works) · Structural equation modeling (7 works) · Behavioral Health and Interventions (6 works) · Statistics (6 works) · Multilevel model (5 works) · Decision-Making and Behavioral Economics (4 works)