Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-05-29

AUTHORS

Kathryn KD Lusczakoski, P. Antonio Olmos-Gallo, William Milnor, Christopher J. McKinney

ABSTRACT

As the need for recovery-oriented outcomes increases, it is critical to understand how numeric recovery scores are developed. In the current article, the modern Rasch modeling techniques were applied to establish numeric scores of consumers' perceptions of recovery. A sample of 1,973 adult consumers at a community-based mental health center (57.5% male; average age of 47 years old) completed the 15-item Consumer Recovery Measure. A confirmatory factor analysis revealed the unidimensional nature of the Consumer Recovery Measure and provided construct validity evidence. The Rasch analysis displayed that the items produced acceptable model fit, reliability, and identified the difficulty of the items. The conclusion emphasizes the value of Rasch modeling regarding the measurement of recovery and its relevance to consumer-derived assessments in the clinical decision-making process. More... »

PAGES

104-115

References to SciGraph publications

  • 2011-10-20. Seven Key Strategies that Work Together to Create Recovery Based Transformation in COMMUNITY MENTAL HEALTH JOURNAL
  • 2003-01-06. Not-only-a-title in HEALTH AND QUALITY OF LIFE OUTCOMES
  • 2003-07-28. Classical test theory versus Rasch analysis for quality of life questionnaire reduction in HEALTH AND QUALITY OF LIFE OUTCOMES
  • 2006-05-16. Psychometrics of the Recovery Process Inventory in THE JOURNAL OF BEHAVIORAL HEALTH SERVICES & RESEARCH
  • 2004-06. Evaluation of the Mississippi PTSD Scale—Revised Using Rasch Measurement in MENTAL HEALTH SERVICES RESEARCH
  • 1982-06. A rasch model for partial credit scoring in PSYCHOMETRIKA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11414-014-9411-1

    DOI

    http://dx.doi.org/10.1007/s11414-014-9411-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1032542485

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24870400


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Community Mental Health Centers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mental Disorders", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mental Health", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Theoretical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Outcome Assessment, Health Care", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Psychometrics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Surveys and Questionnaires", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Treatment Outcome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Young Adult", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Accelrys, Lafayette, CO USA", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Accelrys, Lafayette, CO USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lusczakoski", 
            "givenName": "Kathryn KD", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Morgridge College of Education, University of Denver, Denver, CO USA", 
              "id": "http://www.grid.ac/institutes/grid.266239.a", 
              "name": [
                "Morgridge College of Education, University of Denver, Denver, CO USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Olmos-Gallo", 
            "givenName": "P. Antonio", 
            "id": "sg:person.01274366001.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274366001.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Mental Health Center of Denver, Denver, CO USA", 
              "id": "http://www.grid.ac/institutes/grid.421264.7", 
              "name": [
                "Mental Health Center of Denver, Denver, CO USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Milnor", 
            "givenName": "William", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Mental Health Center of Denver, Denver, CO USA", 
              "id": "http://www.grid.ac/institutes/grid.421264.7", 
              "name": [
                "Mental Health Center of Denver, Denver, CO USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "McKinney", 
            "givenName": "Christopher J.", 
            "id": "sg:person.0636233766.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636233766.93"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1477-7525-1-27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049484739", 
              "https://doi.org/10.1186/1477-7525-1-27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11414-006-9031-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002243345", 
              "https://doi.org/10.1007/s11414-006-9031-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7525-1-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051231456", 
              "https://doi.org/10.1186/1477-7525-1-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02296272", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029055534", 
              "https://doi.org/10.1007/bf02296272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:mhsr.0000024355.38667.e5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003396480", 
              "https://doi.org/10.1023/b:mhsr.0000024355.38667.e5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10597-011-9441-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031271733", 
              "https://doi.org/10.1007/s10597-011-9441-6"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-05-29", 
        "datePublishedReg": "2014-05-29", 
        "description": "As the need for recovery-oriented outcomes increases, it is critical to understand how numeric recovery scores are developed. In the current article, the modern Rasch modeling techniques were applied to establish numeric scores of consumers' perceptions of recovery. A sample of 1,973 adult consumers at a community-based mental health center (57.5% male; average age of 47\u00a0years old) completed the 15-item Consumer Recovery Measure. A confirmatory factor analysis revealed the unidimensional nature of the Consumer Recovery Measure and provided construct validity evidence. The Rasch analysis displayed that the items produced acceptable model fit, reliability, and identified the difficulty of the items. The conclusion emphasizes the value of Rasch modeling regarding the measurement of recovery and its relevance to consumer-derived assessments in the clinical decision-making process. ", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11414-014-9411-1", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1016179", 
            "issn": [
              "1094-3412", 
              "1556-3308"
            ], 
            "name": "The Journal of Behavioral Health Services & Research", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "43"
          }
        ], 
        "keywords": [
          "community-based mental health centers", 
          "clinical decision-making process", 
          "mental health center", 
          "mental health recovery", 
          "health centers", 
          "recovery scores", 
          "health recovery", 
          "measurement of recovery", 
          "acceptable model fit", 
          "Rasch analysis", 
          "recovery measures", 
          "scores", 
          "numeric score", 
          "Rasch modeling", 
          "outcomes increases", 
          "adult consumers", 
          "recovery", 
          "confirmatory factor analysis", 
          "validity evidence", 
          "measures", 
          "construct validity evidence", 
          "factor analysis", 
          "Rasch modeling techniques", 
          "conclusion", 
          "current article", 
          "model fit", 
          "assessment", 
          "evidence", 
          "items", 
          "decision-making process", 
          "center", 
          "perception", 
          "increase", 
          "relevance", 
          "analysis", 
          "unidimensional nature", 
          "need", 
          "samples", 
          "difficulties", 
          "consumer perceptions", 
          "values", 
          "technique", 
          "article", 
          "measurements", 
          "reliability", 
          "consumers", 
          "nature", 
          "fit", 
          "process", 
          "applications", 
          "modeling", 
          "modeling techniques", 
          "recovery-oriented outcomes increases", 
          "numeric recovery scores", 
          "modern Rasch modeling techniques", 
          "Consumer Recovery Measure", 
          "consumer-derived assessments"
        ], 
        "name": "Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure", 
        "pagination": "104-115", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1032542485"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11414-014-9411-1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "24870400"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11414-014-9411-1", 
          "https://app.dimensions.ai/details/publication/pub.1032542485"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_623.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11414-014-9411-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11414-014-9411-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11414-014-9411-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11414-014-9411-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11414-014-9411-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    232 TRIPLES      22 PREDICATES      104 URIs      90 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11414-014-9411-1 schema:about N07e3a5fc3e6b4a25ad6d488c5f1ad7ec
    2 N23b348ee289247faba9f381fdd9330e6
    3 N2761fe47e2bc495fa423b1bc9bb34e70
    4 N446d24b8958f4e97af11f027e1582c74
    5 N61d85bfebb944f1eb37a682b6b3e7b1f
    6 N6366ae3166f14e25b2b02e2067c4abb4
    7 N6dd33520dfc946e285a1fff8be59cb1e
    8 N9bf886e5d4dc4e6eb75aa5a7e1bcb22f
    9 Naa909a5529dc4586aed4cb3cdf0e1859
    10 Nadcb8932a65a4fdd896da85c167943f2
    11 Naef4991885f7407880fb8ec65e21904b
    12 Nbef1e8ab72154a0ca556d0821ff94de1
    13 Nc6eb1061c623400a8d2c42020f35438e
    14 Nd15bab30b93f460bb53cabbab74f0fcf
    15 Neaa94675413641969f898d79356810a3
    16 Nf27256fef8c44f378474ef3a07831c80
    17 anzsrc-for:11
    18 anzsrc-for:1117
    19 schema:author Nbc294c08df1640cfb31bbbf727d8e48d
    20 schema:citation sg:pub.10.1007/bf02296272
    21 sg:pub.10.1007/s10597-011-9441-6
    22 sg:pub.10.1007/s11414-006-9031-5
    23 sg:pub.10.1023/b:mhsr.0000024355.38667.e5
    24 sg:pub.10.1186/1477-7525-1-1
    25 sg:pub.10.1186/1477-7525-1-27
    26 schema:datePublished 2014-05-29
    27 schema:datePublishedReg 2014-05-29
    28 schema:description As the need for recovery-oriented outcomes increases, it is critical to understand how numeric recovery scores are developed. In the current article, the modern Rasch modeling techniques were applied to establish numeric scores of consumers' perceptions of recovery. A sample of 1,973 adult consumers at a community-based mental health center (57.5% male; average age of 47 years old) completed the 15-item Consumer Recovery Measure. A confirmatory factor analysis revealed the unidimensional nature of the Consumer Recovery Measure and provided construct validity evidence. The Rasch analysis displayed that the items produced acceptable model fit, reliability, and identified the difficulty of the items. The conclusion emphasizes the value of Rasch modeling regarding the measurement of recovery and its relevance to consumer-derived assessments in the clinical decision-making process.
    29 schema:genre article
    30 schema:inLanguage en
    31 schema:isAccessibleForFree true
    32 schema:isPartOf N2eb6fdfd2a7440498a2a777054282fcb
    33 N55b20fa14134438ea4d0a447e2aad23c
    34 sg:journal.1016179
    35 schema:keywords Consumer Recovery Measure
    36 Rasch analysis
    37 Rasch modeling
    38 Rasch modeling techniques
    39 acceptable model fit
    40 adult consumers
    41 analysis
    42 applications
    43 article
    44 assessment
    45 center
    46 clinical decision-making process
    47 community-based mental health centers
    48 conclusion
    49 confirmatory factor analysis
    50 construct validity evidence
    51 consumer perceptions
    52 consumer-derived assessments
    53 consumers
    54 current article
    55 decision-making process
    56 difficulties
    57 evidence
    58 factor analysis
    59 fit
    60 health centers
    61 health recovery
    62 increase
    63 items
    64 measurement of recovery
    65 measurements
    66 measures
    67 mental health center
    68 mental health recovery
    69 model fit
    70 modeling
    71 modeling techniques
    72 modern Rasch modeling techniques
    73 nature
    74 need
    75 numeric recovery scores
    76 numeric score
    77 outcomes increases
    78 perception
    79 process
    80 recovery
    81 recovery measures
    82 recovery scores
    83 recovery-oriented outcomes increases
    84 relevance
    85 reliability
    86 samples
    87 scores
    88 technique
    89 unidimensional nature
    90 validity evidence
    91 values
    92 schema:name Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure
    93 schema:pagination 104-115
    94 schema:productId N51636635634a4a5d814cfe5df232c1db
    95 Nc75ae0fd529543fb8afa791cad0ebd17
    96 Ncb6256118f924b828c51dca55497f6c5
    97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032542485
    98 https://doi.org/10.1007/s11414-014-9411-1
    99 schema:sdDatePublished 2022-01-01T18:32
    100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    101 schema:sdPublisher N665117a1ee634aafb01f2e20827a477d
    102 schema:url https://doi.org/10.1007/s11414-014-9411-1
    103 sgo:license sg:explorer/license/
    104 sgo:sdDataset articles
    105 rdf:type schema:ScholarlyArticle
    106 N07e3a5fc3e6b4a25ad6d488c5f1ad7ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Female
    108 rdf:type schema:DefinedTerm
    109 N23b348ee289247faba9f381fdd9330e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Psychometrics
    111 rdf:type schema:DefinedTerm
    112 N2761fe47e2bc495fa423b1bc9bb34e70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Outcome Assessment, Health Care
    114 rdf:type schema:DefinedTerm
    115 N2eb6fdfd2a7440498a2a777054282fcb schema:issueNumber 1
    116 rdf:type schema:PublicationIssue
    117 N446d24b8958f4e97af11f027e1582c74 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Aged, 80 and over
    119 rdf:type schema:DefinedTerm
    120 N51636635634a4a5d814cfe5df232c1db schema:name dimensions_id
    121 schema:value pub.1032542485
    122 rdf:type schema:PropertyValue
    123 N55b20fa14134438ea4d0a447e2aad23c schema:volumeNumber 43
    124 rdf:type schema:PublicationVolume
    125 N61d85bfebb944f1eb37a682b6b3e7b1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Surveys and Questionnaires
    127 rdf:type schema:DefinedTerm
    128 N6366ae3166f14e25b2b02e2067c4abb4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Community Mental Health Centers
    130 rdf:type schema:DefinedTerm
    131 N637a3645a4cb411e9fe4e65d903415ed rdf:first sg:person.01274366001.01
    132 rdf:rest Nb7a067e706c449c5af4cc2e9a5dc83a9
    133 N665117a1ee634aafb01f2e20827a477d schema:name Springer Nature - SN SciGraph project
    134 rdf:type schema:Organization
    135 N6dd33520dfc946e285a1fff8be59cb1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Models, Theoretical
    137 rdf:type schema:DefinedTerm
    138 N9bf886e5d4dc4e6eb75aa5a7e1bcb22f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Middle Aged
    140 rdf:type schema:DefinedTerm
    141 Na2de48dcce734f2498d236380a4186c0 rdf:first sg:person.0636233766.93
    142 rdf:rest rdf:nil
    143 Naa909a5529dc4586aed4cb3cdf0e1859 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Male
    145 rdf:type schema:DefinedTerm
    146 Nadcb8932a65a4fdd896da85c167943f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Humans
    148 rdf:type schema:DefinedTerm
    149 Naef4991885f7407880fb8ec65e21904b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Mental Health
    151 rdf:type schema:DefinedTerm
    152 Nb7a067e706c449c5af4cc2e9a5dc83a9 rdf:first Nc7b418ac66094910b03ead8364d27b91
    153 rdf:rest Na2de48dcce734f2498d236380a4186c0
    154 Nbc294c08df1640cfb31bbbf727d8e48d rdf:first Ne1feef078a604fe2af91e148369e3d38
    155 rdf:rest N637a3645a4cb411e9fe4e65d903415ed
    156 Nbef1e8ab72154a0ca556d0821ff94de1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Aged
    158 rdf:type schema:DefinedTerm
    159 Nc6eb1061c623400a8d2c42020f35438e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Mental Disorders
    161 rdf:type schema:DefinedTerm
    162 Nc75ae0fd529543fb8afa791cad0ebd17 schema:name doi
    163 schema:value 10.1007/s11414-014-9411-1
    164 rdf:type schema:PropertyValue
    165 Nc7b418ac66094910b03ead8364d27b91 schema:affiliation grid-institutes:grid.421264.7
    166 schema:familyName Milnor
    167 schema:givenName William
    168 rdf:type schema:Person
    169 Ncb6256118f924b828c51dca55497f6c5 schema:name pubmed_id
    170 schema:value 24870400
    171 rdf:type schema:PropertyValue
    172 Nd15bab30b93f460bb53cabbab74f0fcf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Treatment Outcome
    174 rdf:type schema:DefinedTerm
    175 Ne1feef078a604fe2af91e148369e3d38 schema:affiliation grid-institutes:None
    176 schema:familyName Lusczakoski
    177 schema:givenName Kathryn KD
    178 rdf:type schema:Person
    179 Neaa94675413641969f898d79356810a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Young Adult
    181 rdf:type schema:DefinedTerm
    182 Nf27256fef8c44f378474ef3a07831c80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    183 schema:name Adult
    184 rdf:type schema:DefinedTerm
    185 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    186 schema:name Medical and Health Sciences
    187 rdf:type schema:DefinedTerm
    188 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    189 schema:name Public Health and Health Services
    190 rdf:type schema:DefinedTerm
    191 sg:journal.1016179 schema:issn 1094-3412
    192 1556-3308
    193 schema:name The Journal of Behavioral Health Services & Research
    194 schema:publisher Springer Nature
    195 rdf:type schema:Periodical
    196 sg:person.01274366001.01 schema:affiliation grid-institutes:grid.266239.a
    197 schema:familyName Olmos-Gallo
    198 schema:givenName P. Antonio
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274366001.01
    200 rdf:type schema:Person
    201 sg:person.0636233766.93 schema:affiliation grid-institutes:grid.421264.7
    202 schema:familyName McKinney
    203 schema:givenName Christopher J.
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636233766.93
    205 rdf:type schema:Person
    206 sg:pub.10.1007/bf02296272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029055534
    207 https://doi.org/10.1007/bf02296272
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1007/s10597-011-9441-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031271733
    210 https://doi.org/10.1007/s10597-011-9441-6
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1007/s11414-006-9031-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002243345
    213 https://doi.org/10.1007/s11414-006-9031-5
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1023/b:mhsr.0000024355.38667.e5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003396480
    216 https://doi.org/10.1023/b:mhsr.0000024355.38667.e5
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1186/1477-7525-1-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051231456
    219 https://doi.org/10.1186/1477-7525-1-1
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1186/1477-7525-1-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049484739
    222 https://doi.org/10.1186/1477-7525-1-27
    223 rdf:type schema:CreativeWork
    224 grid-institutes:None schema:alternateName Accelrys, Lafayette, CO USA
    225 schema:name Accelrys, Lafayette, CO USA
    226 rdf:type schema:Organization
    227 grid-institutes:grid.266239.a schema:alternateName Morgridge College of Education, University of Denver, Denver, CO USA
    228 schema:name Morgridge College of Education, University of Denver, Denver, CO USA
    229 rdf:type schema:Organization
    230 grid-institutes:grid.421264.7 schema:alternateName Mental Health Center of Denver, Denver, CO USA
    231 schema:name Mental Health Center of Denver, Denver, CO USA
    232 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...