Replication Data for: "Are Solidarity and Identification as People of Color Distinct? Validating New Measures Across Asian, Black, Latino, and Multiracial Americans" (doi:10.7910/DVN/X4YIDO)

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Part 2: Study Description
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Document Description

Citation

Title:

Replication Data for: "Are Solidarity and Identification as People of Color Distinct? Validating New Measures Across Asian, Black, Latino, and Multiracial Americans"

Identification Number:

doi:10.7910/DVN/X4YIDO

Distributor:

Harvard Dataverse

Date of Distribution:

2024-10-02

Version:

1

Bibliographic Citation:

PEREZ, EFREN, 2024, "Replication Data for: "Are Solidarity and Identification as People of Color Distinct? Validating New Measures Across Asian, Black, Latino, and Multiracial Americans"", https://doi.org/10.7910/DVN/X4YIDO, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: "Are Solidarity and Identification as People of Color Distinct? Validating New Measures Across Asian, Black, Latino, and Multiracial Americans"

Identification Number:

doi:10.7910/DVN/X4YIDO

Authoring Entity:

PEREZ, EFREN (University of California, Los Angeles)

Producer:

Enter your name here: LastName, FirstName

Distributor:

Harvard Dataverse

Access Authority:

PEREZ, EFREN

Depositor:

PEREZ, EFREN

Date of Deposit:

2024-07-17

Holdings Information:

https://doi.org/10.7910/DVN/X4YIDO

Study Scope

Keywords:

Social Sciences

Abstract:

Mounting U.S. research suggests many non-White individuals feel solidarity with, and identify as, people of color (PoC). Yet measurement limitations prevent scholars from testing whether these constructs are empirically different. We explain why these concepts diverge and evaluate our claims with an expanded battery of measures across U.S. Asian, Black, Latino, and Multiracial adults (N = 3,402). Using multi-group confirmatory factor analysis, we show these items capture related but distinct concepts among PoC (configural invariance). We then establish that these items uniformly measure each construct across PoC groups (metric invariance), with mean level differences validly reflecting actual heterogeneity between groups, rather than measurement artifacts (scalar invariance). Finally, consistent with our conceptualization, we show that solidarity among people of color mediates the association between PoC identification and support for policies that implicate various communities of color. We end with practical advice for using these items in surveys of racially diverse populations. opy directly from abstract in PSRM publication

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

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README.txt

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text/plain

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README - Figure 1 - Mean Levels of PoC ID and Solidarity.txt

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text/plain

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README - Figure 3 - Solidarity Mediates the Influence of PoC Identification on Support for Policies.txt

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text/plain

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acqbias.dat.dat

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text/x-fixed-field

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acqbias.inp

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application/octet-stream

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OUTPUT-acqbias.out

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application/octet-stream

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README-comparison of indirect effects.txt

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text/plain

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README-Mediation analyses with full set of policy outcomes.txt

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text/plain

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README-Sensitivity analyses for mediation.txt

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text/plain

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acqbiasweight.dat.dat

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text/x-fixed-field

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OUTPUT-Table SI.1.out

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application/octet-stream

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Table SI.1.inp

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application/octet-stream

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Table SI.4.1.inp

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application/octet-stream

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README. Table 1. Question Wording for PoC I.txt

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text/plain

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PoC Solidarity and ID Measurement.do

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application/x-stata-syntax

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StataResults.pdf

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application/pdf

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UMAS0083_OUTPUT_0724.xlsx

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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allpocs.dat.dat

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text/x-fixed-field

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OUTPUT-table 3 - configural equivlaence model.out

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application/octet-stream

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Table 3 - Configural Equivlaence Model.inp

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application/octet-stream

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AllPoC.dat

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text/x-fixed-field

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allpocs.dat.dat

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text/x-fixed-field

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OUTPUT-table 4 - metric & scalar equivalence model.out

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application/octet-stream

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Table 4 - Metric & Scalar Equivalence Model.inp

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application/octet-stream

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README-table 5.txt

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text/plain