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Lauren A Trichtinger

Biographic Data

ID99427
NAMELauren A Trichtinger
GIVEN NAMESLauren A
FAMILY NAMETrichtinger
SIGNATURETRICHTINGER L A
AFFILIATIONSUniversity of Notre Dame
ORCID0000-0002-4228-2793
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS4
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Identifying intersectional prospective predictors of suicidal thoughts and behaviors among sexual minority adults

    Open Access•Qimin Liu, Lauren A Trichtinger et al.•ARTICLE•SSM - Mental Health•2025

    In general, discrimination and distress predict suicidality in sexual minorities • Co-occurring psychosocial factors increase risk for suicidal thoughts and behaviors • Unique interactions of factors highlight the need for tailored interventions

  • Disentangling the Heterogeneity in Minority Stress

    Open Access•Qimin Liu, Violeta J Rodríguez et al.•ARTICLE•Archives of Sexual Behavior•2025•References: 51

  • PolychoricRM

    Guangjian Zhang, Lauren A Trichtinger et al.•ARTICLE•Structural Equation Modeling: A…•2022

    Many applications of structural equation modeling involve ordinal (e.g., Likert) variables. A popular way of dealing with ordinal variables is to estimate the model with polychoric correlations rather than Pearson correlations. Such an estimation also requires the asymptotic covariance matrix of polychoric correlations. It is computationally intensive to estimate polychoric correlations and their asymptotic covariance matrices. We describe a comp…

  • Testing P-Technique Factor Analysis With Non-Normal Time Series

    Lauren A Trichtinger, Lauren Trichtinger et al.•ARTICLE•Multivariate Behavioral Research•2022

    There is an increasing need to analyze multivariate time series data due to the rapid development of data collection tools such as smartphone APPs, wearable sensors, and brain imaging techniques. P-technique factor analysis allows researchers to establish a measurement model for these time series. Analyzing such data is challenging because they are often non-normal (e.g., steps, heart rate, sleep, mood, and brain signals) and correlated at nearby…

  • Quantifying Model Error in P-technique Factor Analysis

    Lauren A Trichtinger, Guangjian Zhang•ARTICLE•Multivariate Behavioral Research•2021

    P-technique factor analysis is an exploratory factor model for multivariate time series data. Assessing model fit of P-technique factor models is non-trivial because time series data are correlated at nearby time points. We present a test statistic that is appropriate for P-technique factor analysis. In addition, the test statistic allows researchers to quantify the amount of model error. We explore the statistical properties of the test statisti…

  • A Bootstrap Procedure for Testing P-Technique Factor Analysis

    Lauren A Trichtinger, Lauren Trichtinger et al.•ARTICLE•Multivariate Behavioral Research•2021

    "A Bootstrap Procedure for Testing P-Technique Factor Analysis." Multivariate Behavioral Research, 56(1), p. 152

  • Overconfidence at the Keyboard

    Open Access•Monica A Riordan, Lauren A Trichtinger•ARTICLE•Human Communication Research•2017•Cited by: 4•References: 18

    Gesture, voice, expression, and context add richness to communications that increase chances of accurate interpretation. E-mails lack much of this richness, leading readers to impose their own richness. Three experiments tested the effect of communicator relationship and availability of context on e-mail writer and reader confidence levels and accuracy. Effects of nonverbal and verbal behavior were also investigated. Results showed that confidenc…

  • Overconfidence at the Keyboard

    Open Access•Monica A Riordan, Lauren A Trichtinger•ARTICLE•Human Communication Research•2017•Cited by: 4•References: 18

    Gesture, voice, expression, and context add richness to communications that increase chances of accurate interpretation. E-mails lack much of this richness, leading readers to impose their own richness. Three experiments tested the effect of communicator relationship and availability of context on e-mail writer and reader confidence levels and accuracy. Effects of nonverbal and verbal behavior were also investigated. Results showed that confidenc…

  • Overconfidence at the Keyboard

    Open Access•Monica A Riordan, Lauren A Trichtinger•ARTICLE•Human Communication Research•2017•Cited by: 4•References: 18

    Gesture, voice, expression, and context add richness to communications that increase chances of accurate interpretation. E-mails lack much of this richness, leading readers to impose their own richness. Three experiments tested the effect of communicator relationship and availability of context on e-mail writer and reader confidence levels and accuracy. Effects of nonverbal and verbal behavior were also investigated. Results showed that confidenc…

  • Quantifying Model Error in P-technique Factor Analysis

    Lauren A Trichtinger, Guangjian Zhang•ARTICLE•Multivariate Behavioral Research•2021

    P-technique factor analysis is an exploratory factor model for multivariate time series data. Assessing model fit of P-technique factor models is non-trivial because time series data are correlated at nearby time points. We present a test statistic that is appropriate for P-technique factor analysis. In addition, the test statistic allows researchers to quantify the amount of model error. We explore the statistical properties of the test statisti…

  • A Bootstrap Procedure for Testing P-Technique Factor Analysis

    Lauren A Trichtinger, Lauren Trichtinger et al.•ARTICLE•Multivariate Behavioral Research•2021

    "A Bootstrap Procedure for Testing P-Technique Factor Analysis." Multivariate Behavioral Research, 56(1), p. 152

  • PolychoricRM

    Guangjian Zhang, Lauren A Trichtinger et al.•ARTICLE•Structural Equation Modeling: A…•2022

    Many applications of structural equation modeling involve ordinal (e.g., Likert) variables. A popular way of dealing with ordinal variables is to estimate the model with polychoric correlations rather than Pearson correlations. Such an estimation also requires the asymptotic covariance matrix of polychoric correlations. It is computationally intensive to estimate polychoric correlations and their asymptotic covariance matrices. We describe a comp…

  • Testing P-Technique Factor Analysis With Non-Normal Time Series

    Lauren A Trichtinger, Lauren Trichtinger et al.•ARTICLE•Multivariate Behavioral Research•2022

    There is an increasing need to analyze multivariate time series data due to the rapid development of data collection tools such as smartphone APPs, wearable sensors, and brain imaging techniques. P-technique factor analysis allows researchers to establish a measurement model for these time series. Analyzing such data is challenging because they are often non-normal (e.g., steps, heart rate, sleep, mood, and brain signals) and correlated at nearby…

  • Identifying intersectional prospective predictors of suicidal thoughts and behaviors among sexual minority adults

    Open Access•Qimin Liu, Lauren A Trichtinger et al.•ARTICLE•SSM - Mental Health•2025

    In general, discrimination and distress predict suicidality in sexual minorities • Co-occurring psychosocial factors increase risk for suicidal thoughts and behaviors • Unique interactions of factors highlight the need for tailored interventions

  • Disentangling the Heterogeneity in Minority Stress

    Open Access•Qimin Liu, Violeta J Rodríguez et al.•ARTICLE•Archives of Sexual Behavior•2025•References: 51

Mathematics (4 works) · Statistics (4 works) · Statistical hypothesis testing (3 works) · Computer Science (2 works) · Distress (2 works) · Econometrics (2 works) · Inference (2 works) · LGBTQ Health, Identity, and Policy (2 works) · Multivariate analysis (2 works) · Psychometric Methodologies and Testing (2 works)

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