Evidence map›Paper›PMID 31798204›Full record

ArticleWorld development2019

Measurement properties of the project-level Women's Empowerment in Agriculture Index.

Kathryn M Yount, Yuk Fai Cheong, Lauren Maxwell, Jessica Heckert, Elena M Martinez, Gregory Seymour

Abstract read
In one paragraph

Article in World development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  5. Assessing women's empowerment, participation, and engagement in aquaculture in Bangladesh.Aquaculture international : journal of the European Aquaculture Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kathryn M YountEmory University, United States.
Yuk Fai CheongEmory University, United States.
Lauren MaxwellEmory University, United States.
Jessica HeckertInternational Food Policy Research Institute, United States.
Elena M MartinezTufts University, United States.
Gregory SeymourInternational Food Policy Research Institute, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women's empowerment is a process that includes increases in intrinsic agency (power within); instrumental agency (power to); and collective agency (power with). We used baseline data from two studies-Targeting and Realigning Agriculture for Improved Nutrition (TRAIN) in Bangladesh and Building Resilience in Burkina Faso (BRB)-to assess the measurement properties of survey questions operationalizing selected dimensions of intrinsic, instrumental, and collective agency in the project-level Women's Empowerment in Agricultural Index (pro-WEAI). We applied unidimensional item-response models to question (item) sets to assess their measurement properties, and when possible, their cross-context measurement equivalence-a requirement of measures designed for cross-group comparisons. For

Indexed as

2PL, two-parameter logisticAgricultural developmentBCC, Behavioral Change CommunicationBRB, Building Resilience in Burkina FasoCCC, Category Characteristic CurveCFA, confirmatory factor analysisCI, confidence intervalDIF, differential item functioningEFA, exploratory factor analysisGAAP2, Gender, Agriculture, and Assets Project Phase 2GPI, gender parity indexIPV, intimate partner violenceIRT, item response theoryItem response theoryMeasurementNRM, nominal response modelsRAI, Relative Autonomy IndexSustainable development goalsTRAIN, Targeting and Realigning Agriculture for Improved NutritionWEAI, Women’s Empowerment in Agriculture IndexWomen’s agencyWomen’s empowerment

Identifiers

PMID31798204
PMCPMC6876673

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.