Ethnic identification from pre-birth to early adolescence: longitudinal patterns and methodological considerations

Abstract Ethnicity is a dynamic construct that can be expressed differently depending on the respondent, time point, context, and measurement method, thus resulting in intra-individual ethnic mobility. However, little is known about how ethnic mobility varies by ethnic classification method, despite cross-sectional evidence showing the impact of ethnic classification decisions on research. This study examines the stability and change in ethnic identification from pre-birth to early adolescence using four ethnic classification. Total response grouping, single/combination grouping, administrative-prioritisation, and self-prioritisation. We utilised five data waves from the Growing Up in New Zealand birth cohort study (antenatal, 9-months, 4.5-years, 8-years, 12-years; N = 3,625). Longitudinal changes in ethnic identification were examined using alluvial plots and descriptive statistics (e.g., frequencies, number of distinct states, common sequences, transition rates). Results showed that ethnic mobility was noticeable over time and across classification methods. Depending on the ethnic classification method, the proportion of participants who remained in a single ethnic grouping across five data waves ranged from 39% (single/combination grouping) to 83% (total response grouping). Stability levels also varied by ethnic groupings within each classification method. Given the dynamic and complex nature of ethnicity, researchers should treat ethnicity as a time-varying variable, collect ethnicity data at every data wave, ensure ethnic classification decisions are made with care, and consider the implications of these decisions.

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Publication Details

Journal
Journal of Population Research
Published
2025-08-11
DOI
https://doi.org/10.1007/s12546-025-09392-z
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Ethnic identification from pre-birth to early adolescence: longitudinal patterns and methodological considerations

Terryann Clark, Esther S. Yao, Kane Meissel, Sam Manuela et al.
Journal of Population Research
Racial and Ethnic Identity Research
article

Ethnic identification from pre-birth to early adolescence: longitudinal patterns and methodological considerations

Terryann Clark, Esther S. Yao, Kane Meissel, Sam Manuela, Polly Atatoa‐Carr, Roshini Peiris‐John, Pat Bullen
article en

Abstract

Abstract Ethnicity is a dynamic construct that can be expressed differently depending on the respondent, time point, context, and measurement method, thus resulting in intra-individual ethnic mobility. However, little is known about how ethnic mobility varies by ethnic classification method, despite cross-sectional evidence showing the impact of ethnic classification decisions on research. This study examines the stability and change in ethnic identification from pre-birth to early adolescence using four ethnic classification. Total response grouping, single/combination grouping, administrative-prioritisation, and self-prioritisation. We utilised five data waves from the Growing Up in New Zealand birth cohort study (antenatal, 9-months, 4.5-years, 8-years, 12-years; N = 3,625). Longitudinal changes in ethnic identification were examined using alluvial plots and descriptive statistics (e.g., frequencies, number of distinct states, common sequences, transition rates). Results showed that ethnic mobility was noticeable over time and across classification methods. Depending on the ethnic classification method, the proportion of participants who remained in a single ethnic grouping across five data waves ranged from 39% (single/combination grouping) to 83% (total response grouping). Stability levels also varied by ethnic groupings within each classification method. Given the dynamic and complex nature of ethnicity, researchers should treat ethnicity as a time-varying variable, collect ethnicity data at every data wave, ensure ethnic classification decisions are made with care, and consider the implications of these decisions.

Journal of Population ResearchVol. 42(3)
University of Auckland (NZ), University of Waikato (NZ)
University of Auckland
Reduced inequalities
Openalex Percentile: Top 72%
Racial and Ethnic Identity Research
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