The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health
Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validi...
Gespeichert in:
Veröffentlicht in: | Transgender health 2023-08, Vol.8 (4), p.302-306 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 306 |
---|---|
container_issue | 4 |
container_start_page | 302 |
container_title | Transgender health |
container_volume | 8 |
creator | Turban, Jack L Almazan, Anthony N Reisner, Sari L Keuroghlian, Alex S |
description | Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations. |
doi_str_mv | 10.1089/trgh.2021.0132 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10387152</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2844678829</sourcerecordid><originalsourceid>FETCH-LOGICAL-c469t-3290445f8ac14e7af56d4584939da96078a51bfac2b20305c418a9062e0c4f0a3</originalsourceid><addsrcrecordid>eNqFkcFu1DAQhiMEolXplSOyxIVLFtuxE5sLQgXaSltAdJG4WZNksnGV2Fs7qdTn4IVx2KUCLpxmZH_zaUZ_lj1ndMWo0q-nsO1XnHK2oqzgj7JjXiiaM118f5z6UqlcKFUdZacx3lBKmRRKSvo0OyoqyaUq2HH2Y9MjuRx3PkzgGiS-I5-8y78EX0NtBzvdk2sYdwNGYh25ss6H5e0CYZh68hUjQmj6N2SNMXoXU4XgsCVd8CO5nubWpskk3QRwcYuuxUDAteR83763dxgikit0EwwH7bPsSQdDxNNDPcm-ffywObvI15_PL8_erfNGlHrKC66pELJT0DCBFXSybIVUQhe6BV3SSoFkdQcNrzktqGwEU6BpyZE2oqNQnGRv997dXI_YNmmHAIPZBTtCuDcerPn7x9nebP2dYbRQFZM8GV4dDMHfzhgnM9rY4DCAQz9Hw5UQZaUU1wl9-Q964-fg0n2_KKZLzWSiVnuqCT7GgN3DNoyaJXOzZG6WzM2SeRp48ecND_jvhBMg9sDyDM4NFmsM0_-8PwEElbsX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2844196915</pqid></control><display><type>article</type><title>The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health</title><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Turban, Jack L ; Almazan, Anthony N ; Reisner, Sari L ; Keuroghlian, Alex S</creator><creatorcontrib>Turban, Jack L ; Almazan, Anthony N ; Reisner, Sari L ; Keuroghlian, Alex S</creatorcontrib><description>Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.</description><identifier>ISSN: 2688-4887</identifier><identifier>EISSN: 2380-193X</identifier><identifier>DOI: 10.1089/trgh.2021.0132</identifier><identifier>PMID: 37525831</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc., publishers</publisher><subject>Gender identity ; Health surveillance ; Medical research ; Mental health ; Minority & ethnic groups ; Non-binary gender ; Sample size ; Sampling techniques ; School districts ; Secondary school students ; Secondary schools ; Transgender persons ; Urban schools ; Variables</subject><ispartof>Transgender health, 2023-08, Vol.8 (4), p.302-306</ispartof><rights>2022, Mary Ann Liebert, Inc., publishers</rights><rights>Copyright 2023, Mary Ann Liebert, Inc., publishers.</rights><rights>Copyright Mary Ann Liebert, Inc. Aug 2023</rights><rights>Copyright 2023, Mary Ann Liebert, Inc., publishers 2023 Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-3290445f8ac14e7af56d4584939da96078a51bfac2b20305c418a9062e0c4f0a3</citedby><cites>FETCH-LOGICAL-c469t-3290445f8ac14e7af56d4584939da96078a51bfac2b20305c418a9062e0c4f0a3</cites><orcidid>0000-0002-4877-254X ; 0000-0002-8499-684X ; 0000-0002-6624-8354</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387152/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387152/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37525831$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Turban, Jack L</creatorcontrib><creatorcontrib>Almazan, Anthony N</creatorcontrib><creatorcontrib>Reisner, Sari L</creatorcontrib><creatorcontrib>Keuroghlian, Alex S</creatorcontrib><title>The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health</title><title>Transgender health</title><addtitle>Transgend Health</addtitle><description>Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.</description><subject>Gender identity</subject><subject>Health surveillance</subject><subject>Medical research</subject><subject>Mental health</subject><subject>Minority & ethnic groups</subject><subject>Non-binary gender</subject><subject>Sample size</subject><subject>Sampling techniques</subject><subject>School districts</subject><subject>Secondary school students</subject><subject>Secondary schools</subject><subject>Transgender persons</subject><subject>Urban schools</subject><subject>Variables</subject><issn>2688-4887</issn><issn>2380-193X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkcFu1DAQhiMEolXplSOyxIVLFtuxE5sLQgXaSltAdJG4WZNksnGV2Fs7qdTn4IVx2KUCLpxmZH_zaUZ_lj1ndMWo0q-nsO1XnHK2oqzgj7JjXiiaM118f5z6UqlcKFUdZacx3lBKmRRKSvo0OyoqyaUq2HH2Y9MjuRx3PkzgGiS-I5-8y78EX0NtBzvdk2sYdwNGYh25ss6H5e0CYZh68hUjQmj6N2SNMXoXU4XgsCVd8CO5nubWpskk3QRwcYuuxUDAteR83763dxgikit0EwwH7bPsSQdDxNNDPcm-ffywObvI15_PL8_erfNGlHrKC66pELJT0DCBFXSybIVUQhe6BV3SSoFkdQcNrzktqGwEU6BpyZE2oqNQnGRv997dXI_YNmmHAIPZBTtCuDcerPn7x9nebP2dYbRQFZM8GV4dDMHfzhgnM9rY4DCAQz9Hw5UQZaUU1wl9-Q964-fg0n2_KKZLzWSiVnuqCT7GgN3DNoyaJXOzZG6WzM2SeRp48ecND_jvhBMg9sDyDM4NFmsM0_-8PwEElbsX</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Turban, Jack L</creator><creator>Almazan, Anthony N</creator><creator>Reisner, Sari L</creator><creator>Keuroghlian, Alex S</creator><general>Mary Ann Liebert, Inc., publishers</general><general>Mary Ann Liebert, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4877-254X</orcidid><orcidid>https://orcid.org/0000-0002-8499-684X</orcidid><orcidid>https://orcid.org/0000-0002-6624-8354</orcidid></search><sort><creationdate>20230801</creationdate><title>The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health</title><author>Turban, Jack L ; Almazan, Anthony N ; Reisner, Sari L ; Keuroghlian, Alex S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-3290445f8ac14e7af56d4584939da96078a51bfac2b20305c418a9062e0c4f0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Gender identity</topic><topic>Health surveillance</topic><topic>Medical research</topic><topic>Mental health</topic><topic>Minority & ethnic groups</topic><topic>Non-binary gender</topic><topic>Sample size</topic><topic>Sampling techniques</topic><topic>School districts</topic><topic>Secondary school students</topic><topic>Secondary schools</topic><topic>Transgender persons</topic><topic>Urban schools</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Turban, Jack L</creatorcontrib><creatorcontrib>Almazan, Anthony N</creatorcontrib><creatorcontrib>Reisner, Sari L</creatorcontrib><creatorcontrib>Keuroghlian, Alex S</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Transgender health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Turban, Jack L</au><au>Almazan, Anthony N</au><au>Reisner, Sari L</au><au>Keuroghlian, Alex S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health</atitle><jtitle>Transgender health</jtitle><addtitle>Transgend Health</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>8</volume><issue>4</issue><spage>302</spage><epage>306</epage><pages>302-306</pages><issn>2688-4887</issn><eissn>2380-193X</eissn><abstract>Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population. Non-probability sample studies are often regarded as inferior due to uncertainty about their generalizability and external validity. In reality, non-probability sampling offers advantages that make this method particularly valuable for minority health research. In this perspective article, we review the strengths and limitations of probability and non-probability samples, examining three landmark survey studies used to study transgender and gender diverse mental health. We conclude that both types of studies provide important and actionable data about mental health inequities experienced by minority populations.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc., publishers</pub><pmid>37525831</pmid><doi>10.1089/trgh.2021.0132</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-4877-254X</orcidid><orcidid>https://orcid.org/0000-0002-8499-684X</orcidid><orcidid>https://orcid.org/0000-0002-6624-8354</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2688-4887 |
ispartof | Transgender health, 2023-08, Vol.8 (4), p.302-306 |
issn | 2688-4887 2380-193X |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10387152 |
source | EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Gender identity Health surveillance Medical research Mental health Minority & ethnic groups Non-binary gender Sample size Sampling techniques School districts Secondary school students Secondary schools Transgender persons Urban schools Variables |
title | The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T11%3A53%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Importance%20of%20Non-Probability%20Samples%20in%20Minority%20Health%20Research:%20Lessons%20Learned%20from%20Studies%20of%20Transgender%20and%20Gender%20Diverse%20Mental%20Health&rft.jtitle=Transgender%20health&rft.au=Turban,%20Jack%20L&rft.date=2023-08-01&rft.volume=8&rft.issue=4&rft.spage=302&rft.epage=306&rft.pages=302-306&rft.issn=2688-4887&rft.eissn=2380-193X&rft_id=info:doi/10.1089/trgh.2021.0132&rft_dat=%3Cproquest_pubme%3E2844678829%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2844196915&rft_id=info:pmid/37525831&rfr_iscdi=true |