<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.bath.ac.uk/id/eprint/532'>
    <eprintid>532</eprintid>
    <rev_number>57</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/9440'>
        <docid>9440</docid>
        <rev_number>4</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/26833'>
            <fileid>26833</fileid>
            <datasetid>document</datasetid>
            <objectid>9440</objectid>
            <filename>code book for SPSS dataset.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>9a9b6afb2573d42a7bcd7b06134c9c3a</hash>
            <hash_type>MD5</hash_type>
            <filesize>16597</filesize>
            <mtime>2018-07-31 16:51:38</mtime>
            <url>https://researchdata.bath.ac.uk/532/2/code%20book%20for%20SPSS%20dataset.xlsx</url>
          </file>
        </files>
        <eprintid>532</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>other</format>
        <formatdesc>Code book for SPSS dataset</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>code book for SPSS dataset.xlsx</main>
        <content>documentation</content>
      </document>
      <document id='https://researchdata.bath.ac.uk/id/document/9441'>
        <docid>9441</docid>
        <rev_number>4</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/26835'>
            <fileid>26835</fileid>
            <datasetid>document</datasetid>
            <objectid>9441</objectid>
            <filename>Gillison_SDT_meta_regression_Syntax.sps</filename>
            <mime_type>text/plain</mime_type>
            <hash>3564bc89e4d37c97dfc3cec5c70ad17f</hash>
            <hash_type>MD5</hash_type>
            <filesize>21151</filesize>
            <mtime>2018-07-31 16:54:08</mtime>
            <url>https://researchdata.bath.ac.uk/532/3/Gillison_SDT_meta_regression_Syntax.sps</url>
          </file>
        </files>
        <eprintid>532</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>text/plain</mime_type>
        <format>other</format>
        <formatdesc>SPSS script for performing the meta-regressions</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_mit</license>
        <main>Gillison_SDT_meta_regression_Syntax.sps</main>
        <content>code</content>
      </document>
      <document id='https://researchdata.bath.ac.uk/id/document/9445'>
        <docid>9445</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/26846'>
            <fileid>26846</fileid>
            <datasetid>document</datasetid>
            <objectid>9445</objectid>
            <filename>Gillison_SDT_meta_regression.sav</filename>
            <mime_type>application/octet-stream</mime_type>
            <hash>319a1b76617cde86bca5cbc8aba1d219</hash>
            <hash_type>MD5</hash_type>
            <filesize>148708</filesize>
            <mtime>2018-07-31 16:58:06</mtime>
            <url>https://researchdata.bath.ac.uk/532/7/Gillison_SDT_meta_regression.sav</url>
          </file>
        </files>
        <eprintid>532</eprintid>
        <pos>7</pos>
        <placement>7</placement>
        <mime_type>application/octet-stream</mime_type>
        <format>other</format>
        <formatdesc>SPSS dataset of extracted effect sizes from original publications</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>Gillison_SDT_meta_regression.sav</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>1438</userid>
    <dir>disk0/00/00/05/32</dir>
    <datestamp>2022-05-17 08:15:56</datestamp>
    <lastmod>2024-06-13 09:12:34</lastmod>
    <status_changed>2022-05-17 08:15:56</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Gillison</family>
          <given>Fiona</given>
        </name>
        <id>F.B.Gillison@bath.ac.uk</id>
        <orcid>0000-0002-6461-7638</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
    </creators>
    <title>Dataset for meta-analysis of techniques to promote motivation for health behaviour change</title>
    <subjects>
      <item>JN0010</item>
    </subjects>
    <divisions>
      <item>dept_health</item>
    </divisions>
    <keywords>motivation, meta-analysis, behaviour change, self-determination theory</keywords>
    <note>An Excel spreadsheet containing the SPSS code book to accompany the main data file is provided.</note>
    <abstract>This dataset was created following data extraction of a systematic review of intervention studies reported within published articles and dissertations conducted through methods described in the paper &quot;A meta-analysis of techniques to promote motivation for health behaviour change from a self-determination theory perspective&quot;. The aim of the systematic review and meta-analysis was to explore what behaviour change techniques are used in interventions targeting health behaviour change, and how they influence the theoretical mediators of behaviour change as set out by Self Determination Theory. The mediators analysed were; autonomy, competence and relatedness satisfaction, perceived autonomy support, and autonomous motivation. The dataset includes information on the design, aims, participants and context of each study, and primary data of mean and standard deviations of pre- and post-intervention target mediators where available. Effect sizes were computed from this information for meta-analysis. Where mean and standard deviations were not provided, effect sizes were estimated by converting available data (e.g., change scores, odds ratios, F statistics).</abstract>
    <date>2018-10-16</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <corp_contributors>
      <item>
        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <funder_name>University of Bath</funder_name>
        <funder_id>https://doi.org/10.13039/501100000835</funder_id>
      </item>
    </funding>
    <collection_method>The data were gathered through a systematic review of the literature from 1970 to 2017. For details of the search strategy used, see the methods section of the associated paper.</collection_method>
    <provenance>Full details of the meta-analysis may be found in the sections &apos;Analysis&apos; and &apos;Intervention quality&apos; of the associated paper.</provenance>
    <techinfo>All analyses were computed on SPSS for Windows version 22. The .sps macros should be compatible with SPSS for Windows version 6.1 and higher.

Meta-analyses and meta-regressions were conducting using macros published in: Lipsey, M. W., and Wilson, D. B., 2001. Practical meta-analysis. Thousand Oaks, CA: Sage. Macros available as spss_macros.zip from: Wilson, D. B., 2005. Meta-analysis macros for SAS, SPSS, and Stata. Version 2005.05.23. Available from: https://web.archive.org/web/20170821/http://mason.gmu.edu/~dwilsonb/ma.html</techinfo>
    <methodurl>
      <item>https://researchportal.bath.ac.uk/en/publications/a11cca85-6104-4e41-a0f8-4ff8de8a9df2</item>
    </methodurl>
    <collection_date>
      <date_from>2008</date_from>
      <date_to>2018</date_to>
    </collection_date>
    <temporal_cover>
      <date_from>1970</date_from>
      <date_to>2017</date_to>
    </temporal_cover>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00532</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.1080/17437199.2018.1534071</link>
        <type>pub</type>
      </item>
      <item>
        <link>https://web.archive.org/web/20170821/http://mason.gmu.edu/~dwilsonb/ma.html</link>
        <type>data</type>
      </item>
    </related_resources>
    <access_types>
      <item>open</item>
    </access_types>
  </eprint>
</eprints>
