A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels
A method for assessing the relative sensitivity of research metrics is proposed and illustrated by comparing 18 outcome measures from a published study of the cognitive, mood, and hormonal effects of four different levels of stress induced by intense military training. Research on the human response...
Gespeichert in:
Veröffentlicht in: | PloS one 2019-08, Vol.14 (8), p.e0220749-e0220749 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0220749 |
---|---|
container_issue | 8 |
container_start_page | e0220749 |
container_title | PloS one |
container_volume | 14 |
creator | Caldwell, John A Niro, Philip J Farina, Emily K McClung, James P Caron, Gregory R Lieberman, Harris R |
description | A method for assessing the relative sensitivity of research metrics is proposed and illustrated by comparing 18 outcome measures from a published study of the cognitive, mood, and hormonal effects of four different levels of stress induced by intense military training. Research on the human response to stress often assesses multiple disparate dependent measures. Selecting the most sensitive is difficult as formal methods to compare varied dependent measures have not been developed. The method first converts the outcome measures into standard scores (z-scores) and then compares them using analysis of variance to determine whether there are differences in how they assess the impact of graded levels of exposure to stress. The analysis detected various significant interactions in several measures and suggests self-report mood questionnaires were more sensitive to the stressors present in the study than the cognitive or hormonal measures which were used. These findings support the effectiveness of the z-score based method as a useful procedure for objectively evaluating the differential sensitivity of various metrics. This method could be useful for research on other independent variables when use of multiple assessment strategies is appropriate. It could be used for evaluating studies yielding conflicting results, such as those detecting effects on one parameter but not others. In such instances, cross-metric inconsistencies may be due to differential sensitivity of measurement strategies rather than actual differences in the effects of the independent-variable on the domains under investigation. |
doi_str_mv | 10.1371/journal.pone.0220749 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2273745977</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A596525758</galeid><doaj_id>oai_doaj_org_article_8d6f9bd77262448180b18ee054fcd027</doaj_id><sourcerecordid>A596525758</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-2818f0ecc73951d00b5420e5aff6a60e57ae88aabc28f86e0e80245fd9cafe003</originalsourceid><addsrcrecordid>eNqNk1uL1DAUgIso7rr6D0QDgijsjGna9PIiDIuXgYUFbw--hDQ5aTOkSU3awfk1_lUzl11mZB-kDw2n3_mSc9KTJM9TPE-zMn23cpO33MwHZ2GOCcFlXj9IztM6I7OC4Ozh0foseRLCCmOaVUXxODnL0jyltC7Okz8L9HMWhPOAGh5Aoh7GzkmknEfC9QP32rZo7AB5MHzUa0ABbNBxpccNcgo10PG1dp4bxK1EQ7cJ2hnXahEj0ea1CEhbYSa5VQnXWr3zDODjLj23Ai5R75y83Am6GIslIQNrMOFp8khxE-DZ4X2RfP_44dvV59n1zafl1eJ6JoqajDNSpZXCIESZ1TSVGDc0JxgoV6rgRVyUHKqK80aQSlUFYKgwyamSteAKMM4ukpd772BcYIfeBkZImZU5rcsyEss9IR1fscHrnvsNc1yzXcD5lnE_amGAVbJQdSPLkhQkz-PRcJNWAJjmSkhMtq73h92mpgcpwI6xfyfS0y9Wd6x1a1YUsby8joI3B4F3vyYII-t1EGAMt-Cm3bkpobSiVURf_YPeX92BanksQFvl4r5iK2WL-KNEWblzze-h4iOh1yLemtIxfpLw9iQhMiP8Hls-hcCWX7_8P3vz45R9fcR2wM3YBWemUTsbTsF8DwrvQvCg7pqcYrado9tusO0cscMcxbQXxxd0l3Q7ONlfYcAboA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2273745977</pqid></control><display><type>article</type><title>A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Caldwell, John A ; Niro, Philip J ; Farina, Emily K ; McClung, James P ; Caron, Gregory R ; Lieberman, Harris R</creator><contributor>Chen, Li</contributor><creatorcontrib>Caldwell, John A ; Niro, Philip J ; Farina, Emily K ; McClung, James P ; Caron, Gregory R ; Lieberman, Harris R ; Chen, Li</creatorcontrib><description>A method for assessing the relative sensitivity of research metrics is proposed and illustrated by comparing 18 outcome measures from a published study of the cognitive, mood, and hormonal effects of four different levels of stress induced by intense military training. Research on the human response to stress often assesses multiple disparate dependent measures. Selecting the most sensitive is difficult as formal methods to compare varied dependent measures have not been developed. The method first converts the outcome measures into standard scores (z-scores) and then compares them using analysis of variance to determine whether there are differences in how they assess the impact of graded levels of exposure to stress. The analysis detected various significant interactions in several measures and suggests self-report mood questionnaires were more sensitive to the stressors present in the study than the cognitive or hormonal measures which were used. These findings support the effectiveness of the z-score based method as a useful procedure for objectively evaluating the differential sensitivity of various metrics. This method could be useful for research on other independent variables when use of multiple assessment strategies is appropriate. It could be used for evaluating studies yielding conflicting results, such as those detecting effects on one parameter but not others. In such instances, cross-metric inconsistencies may be due to differential sensitivity of measurement strategies rather than actual differences in the effects of the independent-variable on the domains under investigation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0220749</identifier><identifier>PMID: 31415596</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Affect - physiology ; Armed forces ; Attention - physiology ; Benchmarking ; Biology and Life Sciences ; Brain-Derived Neurotrophic Factor - analysis ; Cognition - physiology ; Cognitive ability ; Domains ; Endocrine tests ; Environmental health ; Female ; Heart rate ; Hormonal effects ; Hormones ; Human behavior ; Human performance ; Human response ; Humans ; Hydrocortisone - analysis ; Independent variables ; Male ; Medical laboratories ; Medicine ; Medicine and Health Sciences ; Methods ; Military personnel ; Military training ; Mood ; Neuropeptide Y - analysis ; Neuropeptides ; Nutrition ; Physical Sciences ; Physiological aspects ; Physiology ; Prisoners of war & missing in action ; Psychological aspects ; Psychological tests ; Psychometrics ; R&D ; Reaction Time - physiology ; Research & development ; Research and Analysis Methods ; Saliva - chemistry ; Self Report ; Sensitivity ; Sensitivity analysis ; Sleep ; Social Sciences ; Standard deviation ; Standard scores (Statistics) ; Stress ; Stress (Psychology) ; Stress, Psychological - psychology ; Studies ; Surveys and Questionnaires ; Testing ; Testosterone - analysis ; Variance analysis ; Vigilance (Psychology) ; Young Adult</subject><ispartof>PloS one, 2019-08, Vol.14 (8), p.e0220749-e0220749</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2818f0ecc73951d00b5420e5aff6a60e57ae88aabc28f86e0e80245fd9cafe003</citedby><cites>FETCH-LOGICAL-c692t-2818f0ecc73951d00b5420e5aff6a60e57ae88aabc28f86e0e80245fd9cafe003</cites><orcidid>0000-0002-1519-0156</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/PMC6695149/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695149/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23867,27925,27926,53792,53794</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31415596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chen, Li</contributor><creatorcontrib>Caldwell, John A</creatorcontrib><creatorcontrib>Niro, Philip J</creatorcontrib><creatorcontrib>Farina, Emily K</creatorcontrib><creatorcontrib>McClung, James P</creatorcontrib><creatorcontrib>Caron, Gregory R</creatorcontrib><creatorcontrib>Lieberman, Harris R</creatorcontrib><title>A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A method for assessing the relative sensitivity of research metrics is proposed and illustrated by comparing 18 outcome measures from a published study of the cognitive, mood, and hormonal effects of four different levels of stress induced by intense military training. Research on the human response to stress often assesses multiple disparate dependent measures. Selecting the most sensitive is difficult as formal methods to compare varied dependent measures have not been developed. The method first converts the outcome measures into standard scores (z-scores) and then compares them using analysis of variance to determine whether there are differences in how they assess the impact of graded levels of exposure to stress. The analysis detected various significant interactions in several measures and suggests self-report mood questionnaires were more sensitive to the stressors present in the study than the cognitive or hormonal measures which were used. These findings support the effectiveness of the z-score based method as a useful procedure for objectively evaluating the differential sensitivity of various metrics. This method could be useful for research on other independent variables when use of multiple assessment strategies is appropriate. It could be used for evaluating studies yielding conflicting results, such as those detecting effects on one parameter but not others. In such instances, cross-metric inconsistencies may be due to differential sensitivity of measurement strategies rather than actual differences in the effects of the independent-variable on the domains under investigation.</description><subject>Adult</subject><subject>Affect - physiology</subject><subject>Armed forces</subject><subject>Attention - physiology</subject><subject>Benchmarking</subject><subject>Biology and Life Sciences</subject><subject>Brain-Derived Neurotrophic Factor - analysis</subject><subject>Cognition - physiology</subject><subject>Cognitive ability</subject><subject>Domains</subject><subject>Endocrine tests</subject><subject>Environmental health</subject><subject>Female</subject><subject>Heart rate</subject><subject>Hormonal effects</subject><subject>Hormones</subject><subject>Human behavior</subject><subject>Human performance</subject><subject>Human response</subject><subject>Humans</subject><subject>Hydrocortisone - analysis</subject><subject>Independent variables</subject><subject>Male</subject><subject>Medical laboratories</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Military personnel</subject><subject>Military training</subject><subject>Mood</subject><subject>Neuropeptide Y - analysis</subject><subject>Neuropeptides</subject><subject>Nutrition</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Physiology</subject><subject>Prisoners of war & missing in action</subject><subject>Psychological aspects</subject><subject>Psychological tests</subject><subject>Psychometrics</subject><subject>R&D</subject><subject>Reaction Time - physiology</subject><subject>Research & development</subject><subject>Research and Analysis Methods</subject><subject>Saliva - chemistry</subject><subject>Self Report</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Sleep</subject><subject>Social Sciences</subject><subject>Standard deviation</subject><subject>Standard scores (Statistics)</subject><subject>Stress</subject><subject>Stress (Psychology)</subject><subject>Stress, Psychological - psychology</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Testing</subject><subject>Testosterone - analysis</subject><subject>Variance analysis</subject><subject>Vigilance (Psychology)</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uL1DAUgIso7rr6D0QDgijsjGna9PIiDIuXgYUFbw--hDQ5aTOkSU3awfk1_lUzl11mZB-kDw2n3_mSc9KTJM9TPE-zMn23cpO33MwHZ2GOCcFlXj9IztM6I7OC4Ozh0foseRLCCmOaVUXxODnL0jyltC7Okz8L9HMWhPOAGh5Aoh7GzkmknEfC9QP32rZo7AB5MHzUa0ABbNBxpccNcgo10PG1dp4bxK1EQ7cJ2hnXahEj0ea1CEhbYSa5VQnXWr3zDODjLj23Ai5R75y83Am6GIslIQNrMOFp8khxE-DZ4X2RfP_44dvV59n1zafl1eJ6JoqajDNSpZXCIESZ1TSVGDc0JxgoV6rgRVyUHKqK80aQSlUFYKgwyamSteAKMM4ukpd772BcYIfeBkZImZU5rcsyEss9IR1fscHrnvsNc1yzXcD5lnE_amGAVbJQdSPLkhQkz-PRcJNWAJjmSkhMtq73h92mpgcpwI6xfyfS0y9Wd6x1a1YUsby8joI3B4F3vyYII-t1EGAMt-Cm3bkpobSiVURf_YPeX92BanksQFvl4r5iK2WL-KNEWblzze-h4iOh1yLemtIxfpLw9iQhMiP8Hls-hcCWX7_8P3vz45R9fcR2wM3YBWemUTsbTsF8DwrvQvCg7pqcYrado9tusO0cscMcxbQXxxd0l3Q7ONlfYcAboA</recordid><startdate>20190815</startdate><enddate>20190815</enddate><creator>Caldwell, John A</creator><creator>Niro, Philip J</creator><creator>Farina, Emily K</creator><creator>McClung, James P</creator><creator>Caron, Gregory R</creator><creator>Lieberman, Harris R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1519-0156</orcidid></search><sort><creationdate>20190815</creationdate><title>A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels</title><author>Caldwell, John A ; Niro, Philip J ; Farina, Emily K ; McClung, James P ; Caron, Gregory R ; Lieberman, Harris R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2818f0ecc73951d00b5420e5aff6a60e57ae88aabc28f86e0e80245fd9cafe003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Affect - physiology</topic><topic>Armed forces</topic><topic>Attention - physiology</topic><topic>Benchmarking</topic><topic>Biology and Life Sciences</topic><topic>Brain-Derived Neurotrophic Factor - analysis</topic><topic>Cognition - physiology</topic><topic>Cognitive ability</topic><topic>Domains</topic><topic>Endocrine tests</topic><topic>Environmental health</topic><topic>Female</topic><topic>Heart rate</topic><topic>Hormonal effects</topic><topic>Hormones</topic><topic>Human behavior</topic><topic>Human performance</topic><topic>Human response</topic><topic>Humans</topic><topic>Hydrocortisone - analysis</topic><topic>Independent variables</topic><topic>Male</topic><topic>Medical laboratories</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Military personnel</topic><topic>Military training</topic><topic>Mood</topic><topic>Neuropeptide Y - analysis</topic><topic>Neuropeptides</topic><topic>Nutrition</topic><topic>Physical Sciences</topic><topic>Physiological aspects</topic><topic>Physiology</topic><topic>Prisoners of war & missing in action</topic><topic>Psychological aspects</topic><topic>Psychological tests</topic><topic>Psychometrics</topic><topic>R&D</topic><topic>Reaction Time - physiology</topic><topic>Research & development</topic><topic>Research and Analysis Methods</topic><topic>Saliva - chemistry</topic><topic>Self Report</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Sleep</topic><topic>Social Sciences</topic><topic>Standard deviation</topic><topic>Standard scores (Statistics)</topic><topic>Stress</topic><topic>Stress (Psychology)</topic><topic>Stress, Psychological - psychology</topic><topic>Studies</topic><topic>Surveys and Questionnaires</topic><topic>Testing</topic><topic>Testosterone - analysis</topic><topic>Variance analysis</topic><topic>Vigilance (Psychology)</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caldwell, John A</creatorcontrib><creatorcontrib>Niro, Philip J</creatorcontrib><creatorcontrib>Farina, Emily K</creatorcontrib><creatorcontrib>McClung, James P</creatorcontrib><creatorcontrib>Caron, Gregory R</creatorcontrib><creatorcontrib>Lieberman, Harris R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caldwell, John A</au><au>Niro, Philip J</au><au>Farina, Emily K</au><au>McClung, James P</au><au>Caron, Gregory R</au><au>Lieberman, Harris R</au><au>Chen, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-08-15</date><risdate>2019</risdate><volume>14</volume><issue>8</issue><spage>e0220749</spage><epage>e0220749</epage><pages>e0220749-e0220749</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A method for assessing the relative sensitivity of research metrics is proposed and illustrated by comparing 18 outcome measures from a published study of the cognitive, mood, and hormonal effects of four different levels of stress induced by intense military training. Research on the human response to stress often assesses multiple disparate dependent measures. Selecting the most sensitive is difficult as formal methods to compare varied dependent measures have not been developed. The method first converts the outcome measures into standard scores (z-scores) and then compares them using analysis of variance to determine whether there are differences in how they assess the impact of graded levels of exposure to stress. The analysis detected various significant interactions in several measures and suggests self-report mood questionnaires were more sensitive to the stressors present in the study than the cognitive or hormonal measures which were used. These findings support the effectiveness of the z-score based method as a useful procedure for objectively evaluating the differential sensitivity of various metrics. This method could be useful for research on other independent variables when use of multiple assessment strategies is appropriate. It could be used for evaluating studies yielding conflicting results, such as those detecting effects on one parameter but not others. In such instances, cross-metric inconsistencies may be due to differential sensitivity of measurement strategies rather than actual differences in the effects of the independent-variable on the domains under investigation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31415596</pmid><doi>10.1371/journal.pone.0220749</doi><tpages>e0220749</tpages><orcidid>https://orcid.org/0000-0002-1519-0156</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-08, Vol.14 (8), p.e0220749-e0220749 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2273745977 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Affect - physiology Armed forces Attention - physiology Benchmarking Biology and Life Sciences Brain-Derived Neurotrophic Factor - analysis Cognition - physiology Cognitive ability Domains Endocrine tests Environmental health Female Heart rate Hormonal effects Hormones Human behavior Human performance Human response Humans Hydrocortisone - analysis Independent variables Male Medical laboratories Medicine Medicine and Health Sciences Methods Military personnel Military training Mood Neuropeptide Y - analysis Neuropeptides Nutrition Physical Sciences Physiological aspects Physiology Prisoners of war & missing in action Psychological aspects Psychological tests Psychometrics R&D Reaction Time - physiology Research & development Research and Analysis Methods Saliva - chemistry Self Report Sensitivity Sensitivity analysis Sleep Social Sciences Standard deviation Standard scores (Statistics) Stress Stress (Psychology) Stress, Psychological - psychology Studies Surveys and Questionnaires Testing Testosterone - analysis Variance analysis Vigilance (Psychology) Young Adult |
title | A Z-score based method for comparing the relative sensitivity of behavioral and physiological metrics including cognitive performance, mood, and hormone levels |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T13%3A59%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Z-score%20based%20method%20for%20comparing%20the%20relative%20sensitivity%20of%20behavioral%20and%20physiological%20metrics%20including%20cognitive%20performance,%20mood,%20and%20hormone%20levels&rft.jtitle=PloS%20one&rft.au=Caldwell,%20John%20A&rft.date=2019-08-15&rft.volume=14&rft.issue=8&rft.spage=e0220749&rft.epage=e0220749&rft.pages=e0220749-e0220749&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0220749&rft_dat=%3Cgale_plos_%3EA596525758%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2273745977&rft_id=info:pmid/31415596&rft_galeid=A596525758&rft_doaj_id=oai_doaj_org_article_8d6f9bd77262448180b18ee054fcd027&rfr_iscdi=true |