Alexandru Cernat

Alexandru Cernat

Manchester University

H-index: 11

North America-United States

About Alexandru Cernat

Alexandru Cernat, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Manchester University, specializes in the field of Survey Methodology, SEM, Latent Class, Mixed Modes, Longitudinal data collection & analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

How do social and economic status impact measurement error?

Using Synthetic Crime Data to Understand Patterns of Police Undercounting at the Local Level

Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model

Adjusting for Measurement Error in Police Recorded Crime Counts Using Bayesian Statistics

The Role of Interviewer Observations in Measuring Sample Representativeness in Repeated Cross-National Studies

Comparing participation motives of professional and non-professional respondents

Measuring crime in place: Distinguishing between area victimisation and area offences

Do you have two minutes to talk about your data? Willingness to participate and nonparticipation bias in Facebook data donation

Alexandru Cernat Information

University

Position

Social Statistics

Citations(all)

580

Citations(since 2020)

514

Cited By

169

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Manchester University

Google Scholar

View Google Scholar Profile

Alexandru Cernat Skills & Research Interests

Survey Methodology

SEM

Latent Class

Mixed Modes

Longitudinal data collection & analysis

Top articles of Alexandru Cernat

Title

Journal

Author(s)

Publication Date

How do social and economic status impact measurement error?

International Journal of Social Research Methodology

Alexandru Cernat

Vera Toepoel

2024/1/2

Using Synthetic Crime Data to Understand Patterns of Police Undercounting at the Local Level

Ian Brunton-Smith

David Buil-Gil

Jose Pina-Sánchez

Alexandru Cernat

Angelo Moretti

2024/4/30

Estimating measurement quality in digital trace data and surveys using the MultiTrait MultiMethod model

Social Science Computer Review

Alexandru Cernat

Florian Keusch

Ruben Bach

Paulina Pankowska

2024/4/23

Adjusting for Measurement Error in Police Recorded Crime Counts Using Bayesian Statistics

CrimRxiv

Jose Pina-Sánchez

Ian Brunton-Smith

David Buil-Gil

Alexandru Cernat

2024/1/2

The Role of Interviewer Observations in Measuring Sample Representativeness in Repeated Cross-National Studies

Survey Research Methods

Hafsteinn Einarsson

Alexandru Cernat

Natalie Shlomo

2023/1/31

Comparing participation motives of professional and non-professional respondents

International Journal of Market Research

Henning Silber

Sven Stadtmüller

Alexandru Cernat

2023/7

Measuring crime in place: Distinguishing between area victimisation and area offences

Significance

Ian Brunton-Smith

Alexandru Cernat

David Buil-Gil

Jose Pina-Sànchez

2023/10

Do you have two minutes to talk about your data? Willingness to participate and nonparticipation bias in Facebook data donation

Field Methods

Florian Keusch

Paulina K Pankowska

Alexandru Cernat

Ruben L Bach

2023

Estimating the reliability of crime data in geographic areas

CrimRxiv

Ian Brunton-Smith

Alexandru Cernat

Jose Pina-Sánchez

David Buil-Gil

2023/6/28

Adjusting for systematic and differential errors using simulations

CrimRxiv

Jose Pina-Sánchez

Ian Brunton-Smith

David Buil-Gil

Alexandru Cernat

Albert Varela

2023/12/22

Simulating the consequences of adaptive survey design in two household panel studies

Journal of Survey Statistics and Methodology

Nicole Watson

Alexandru Cernat

2023/9/1

Interviewer effects on the measurement of physical performance in acCrossnNational biosocial survey

Journal of Survey Statistics and Methodology: JSSAM

Sophia Waldmann

Joseph W Sakshaug

Alexandru Cernat

2023

Reactivity in measuring sensitive online behavior

Internet Research

Florian Keusch

Ruben Bach

Alexandru Cernat

2023/5/17

The impact of measurement error in regression models using police recorded crime rates

Journal of Quantitative Criminology

Jose Pina-Sánchez

David Buil-Gil

Ian Brunton-Smith

Alexandru Cernat

2023/12

Exploring the impact of measurement error in police recorded crime rates through sensitivity analysis

Crime Science

Jose Pina-Sánchez

Ian Brunton-Smith

David Buil-Gil

Alexandru Cernat

2023/7/25

Predicting Web Survey Breakoffs Using Machine Learning Models

Social Science Computer Review

Zeming Chen

Alexandru Cernat

Natalie Shlomo

2023/4

The Effects of Framing the Survey Request and Using Targeted Appeals on Participation in Cross-sectional Surveys

Field Methods

Hafsteinn Einarsson

Alexandru Cernat

Natalie Shlomo

2023/7/16

The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study

Journal of Survey Statistics and Methodology

Alexandru Cernat

Joseph W Sakshaug

2023/11/1

Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK

Psychological medicine

Kirby King

Nick Allum

Paul Stoneman

Alexandru Cernat

2023/4

Estimating Measurement Error in Longitudinal Data Using the Longitudinal MultiTrait MultiError Approach

Structural Equation Modeling: A Multidisciplinary Journal

Alexandru Cernat

Daniel Oberski

2023/7/4

See List of Professors in Alexandru Cernat University(Manchester University)

Co-Authors

H-index: 49
Peter Lynn

Peter Lynn

University of Essex

H-index: 43
Nick Allum

Nick Allum

University of Essex

H-index: 31
Daniel L. Oberski

Daniel L. Oberski

Universiteit Utrecht

H-index: 24
peter lugtig

peter lugtig

Universiteit Utrecht

H-index: 24
Jonathan Burton

Jonathan Burton

University of Essex

H-index: 16
SC Noah Uhrig

SC Noah Uhrig

University of Essex

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