6 datasets found
  1. RAAAP SPSS Syntax file - splitting

    • figshare.com
    txt
    Updated May 31, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Simon Kerridge; Stephanie Scott (2018). RAAAP SPSS Syntax file - splitting [Dataset]. http://doi.org/10.6084/m9.figshare.6269102.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 31, 2018
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Simon Kerridge; Stephanie Scott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The RAAAP project surveyed Research Managers and Administrators from across the world, asking questions about why people became RMAs, why they stayed as RMAs, what skills they need for their jobs (soft and hard), what level of seniority they are, demographic information, and so on - overall up to 222 data points were collected from each respondent. This SPSS syntax file was developed to split the processed data into 15 linked datasets in help keep the data anonymous. The process is described in detail in the "RAAAP Data Cleansing Process" DOI:10.6084/m9.figshare.5948461

  2. d

    Data from: Complex Files: Pasting and Cutting with SPSS

    • search.dataone.org
    Updated Dec 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wendy Watkins (2023). Complex Files: Pasting and Cutting with SPSS [Dataset]. http://doi.org/10.5683/SP3/BDSLOQ
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Wendy Watkins
    Description

    Some surveys contain multiple units of observation, while others come in many parts. This workshop will give participants hands-on experience using both types of files. The General Social Survey, Cycle 8 and the Canadian Travel Surveys will be used as examples. (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-216.)

  3. n

    Dysfunctional Individuation, Splitting and Differentiation of Self Data File...

    • curate.nd.edu
    bin
    Updated Jul 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Daniel Lapsley (2024). Dysfunctional Individuation, Splitting and Differentiation of Self Data File [Dataset]. http://doi.org/10.7274/26312326.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    University of Notre Dame
    Authors
    Daniel Lapsley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This SPSS file was utilized to examine the ongoing construct validation of the Dysfunctional Individuation Scale (DIS). In addition to the DIS, the file includes assessments of Differentiation of Self, Splitting and measures of college adjustment

  4. g

    Eurobarometer 62.0: Standard European Trend Questions and Sport,...

    • search.gesis.org
    Updated Nov 15, 2004
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Papacostas, Antonis (2004). Eurobarometer 62.0: Standard European Trend Questions and Sport, October-November 2004 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR04289
    Explore at:
    Dataset updated
    Nov 15, 2004
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    Papacostas, Antonis
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438153https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de438153

    Description

    Abstract (en): This round of Eurobarometer surveys, composed mainly of trend questions, queried respondents on the standard Eurobarometer measures, such as how satisfied they were with their present lives, whether they attempted to persuade others close to them to share their views on subjects they held strong opinions about, whether they discussed political matters, what their respective country's goals should be, and how they viewed the need for societal change. Additional questions focused on the respondents' knowledge of and opinions on the European Union (EU), including how well-informed they felt about the EU, what sources of information about the EU they used, whether their country had benefited from being an EU member, and the extent of their personal interest in EU matters. There were also a number of questions regarding national identity. In particular, respondents were asked if they identified themselves more as Europeans or as citizens of their respective countries, whether or not they were proud to be Europeans, with what region they most associated, and what, if any, significance did the EU flag hold for them personally. Another major focus of the survey was the subject of sport. Respondents were asked about frequency of participation, motivation to participate, benefits received and values promoted, what role the EU should play in regulating sport in Europe, and about negative issues associated with sporting activities. Background information collected includes respondents' age, gender, nationality, marital status, left-right political self-placement, occupation, age at completion of education, household income, type and size of locality, and region of residence. Please review the "Weighting Information" section of the ICPSR codebook for this Eurobarometer study. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Citizens of the EU aged 15 and over residing in the EU member states of Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, and the United Kingdom, plus the citizens of the four EU candidate countries: Bulgaria, Croatia, Romania, and Turkey. Smallest Geographic Unit: country Multistage national probability samples. 2010-06-17 The data have been further processed by GESIS; the SAS and SPSS setup files and the codebook have been updated; the SPSS portable file has been replaced with an SPSS system file; and Stata setup and system files, a SAS transport (CPORT) file, a tab-delimited ASCII data file and data collection instrument have been added. face-to-face interviewThe original data collection was carried out by TNS Opinion and Social, c/o EOS Gallup Europe on request of the European Commission.The codebook and setup files for this collection contain characters with diacritical marks used in many European languages.Eurobarometer 62.0 is the first Eurobarometer conducted after the enlargement of the European Union to include the 10 new member States (which occurred on the 1st of May, 2004).The ending fieldwork dates in the data file for Denmark and Great Britain are not consistent with the fieldwork dates in the "Technical Specifications" section of the ICPSR codebook.The table in the "Technical Specifications" section of the ICPSR codebook shows the incorrect number of interviews for Great Britain, Ireland, Portugal, Czech Republic and Slovakia. Moreover, although the data file contains information on Northern Ireland, the table does not appear to provide any information for Northern Ireland.The documentation and/or setup files may contain references to Norway, but Norway was not a participant in this wave of Eurobarometer surveys. This collection contains no data for Norway.A split ballot was used for one or more questions in this survey. The variable V540 defines the separate groups.

  5. H

    Record of American Democracy, All Documentation and Miscellaneous Files

    • dataverse.harvard.edu
    bin, pdf, zip
    Updated Nov 28, 2007
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Harvard Dataverse (2007). Record of American Democracy, All Documentation and Miscellaneous Files [Dataset]. http://doi.org/10.7910/DVN/UCZMWP
    Explore at:
    zip(1027756), bin(1171616), pdf(2068900)Available download formats
    Dataset updated
    Nov 28, 2007
    Dataset provided by
    Harvard Dataverse
    Area covered
    United States
    Description

    The Record of American Democracy (ROAD) data provide election returns, socioeconomic summaries, and demographic details about the American public at unusually low levels of geographic aggregation. The NSF-supported ROAD project spans every state in the country from 1984 through 1990 (including some off-year elections). These data enable research on topics such as electoral behavior, the political characteristics of local community context, electoral geography, the role of minority groups in elections and legislative redistricting, split ticket voting and divided government, and elections under federalism. One set of files (Part 4, PRECINCT directory, consisting of 205 SPSS portable files) includes every election at and above state House, along with party registration and other variables, in each state for the roughly 170,000 precincts nationwide (about 60 times the number of counties). Another set of files (Part 5, MCDGRP directory, 52 SPSS portable files) has added to these roughly 30-40 political variables an additional 3,725 variables merged from the 1990 United States Census for 47,327 aggregate units called MCD Groups. The MCD Group is a construct for purposes of this data collection. It is based on a merging of t he electoral precincts and Census Minor Civil Divisions (MCDs). An MCD is about the size of a city or town. An MCD Group is smaller than or equal to a county and (except in California) is greater than or equal to the size of an MCD. The MCD Group units completely tile the United States landmass. The program used to create the MCD group level is also included as part of this collection, as well as the input and output files. This collection also includes geographic boundary files so users can easily draw maps with these data. Documentation and frequently asked questions are available online at the ROAD Website. A downloadable PDF codebook is also available in the files section of this study.

  6. c

    Quarterly Labour Force Survey and Annual Population Survey: Local...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2024). Quarterly Labour Force Survey and Annual Population Survey: Local Authority/Unitary Authority Pre-2009 Syntax [Dataset]. http://doi.org/10.5255/UKDA-SN-7384-1
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Social Survey Division
    Authors
    Office for National Statistics
    Area covered
    United Kingdom
    Variables measured
    Administrative units (geographical/political), National
    Measurement technique
    Transcription of existing materials
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    This study comprises SPSS syntax code that can be used with pre-2009 Labour Force Survey (LFS) and Annual Population Survey (APS) Special Licence Access datasets to recode Local Authority/Unitary Authority (UA/LA) geographic variables into the new UA/LA classification areas used after the 2009 local government reorganisation, when nine new UAs were created. This syntax is referenced in Volume 3 (current Variable Details) of the LFS User Guide (page 42 in the 2013 edition, page 47 in the 2011 edition) as follows:

    "In April 2009, there was a reorganisation of local government that created nine new unitary authorities (UAs). Five of these UAs were created from existing county councils and their district councils. The remaining four were created by splitting Cheshire and Bedfordshire into two - each along existing district council boundaries. All nine unitary authorities will, therefore, be aggregates of existing local authorities. To apply these changes to back data syntax can be used to recode the above variables into new variables representing these new classifications. This syntax can be obtained by contacting the UK Data Archive. This syntax will need to be used for all files up to AJ10 data. From AJ10 data onwards we will be producing quarterly datasets with the new UA variables on them."

    While the data files are subject to Special Licence Access, the syntax file is subject to standard End User Licence (EUL) access conditions, as it does not contain any data, only SPSS command syntax code.

    Users should note that the syntax is of use only to users of the Special Licence Access LFS and APS studies, as the standard EUL versions do not contain UA/LA geographic variables.


    Main Topics:

    Syntax to convert pre-2009 UA/LA area classifications into post-2009 area classifications.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Simon Kerridge; Stephanie Scott (2018). RAAAP SPSS Syntax file - splitting [Dataset]. http://doi.org/10.6084/m9.figshare.6269102.v1
Organization logoOrganization logo

RAAAP SPSS Syntax file - splitting

Explore at:
txtAvailable download formats
Dataset updated
May 31, 2018
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Simon Kerridge; Stephanie Scott
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The RAAAP project surveyed Research Managers and Administrators from across the world, asking questions about why people became RMAs, why they stayed as RMAs, what skills they need for their jobs (soft and hard), what level of seniority they are, demographic information, and so on - overall up to 222 data points were collected from each respondent. This SPSS syntax file was developed to split the processed data into 15 linked datasets in help keep the data anonymous. The process is described in detail in the "RAAAP Data Cleansing Process" DOI:10.6084/m9.figshare.5948461

Search
Clear search
Close search
Google apps
Main menu