Electronic mood device (EMD)

The Daily Mood Device (DMD) assesses self-reported emotions and feelings based on the question "How do you feel today" with primary (happy, angry, anxious, sad), secondary (guilty, shame) and background feelings (weary, lifeless, powerful, tense, quiet, nervous).

In RADAR, the adapted version of the Electronic Mood Device (DMD; Hoeksma et al., 2000) was used, assessing Primary feelings (12 items), Secondary feelings (2 items), and Background feelings (6 items).

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Keywords
Constructs
Waves
  • Old Cohort

  • RO - W5
    •   CC MM FF UU
    16.0 years   From 2006-01-01 to 2006-03-31
  • RO - W6
    •   CC MM FF UU
    17.0 years   From 2007-01-01 to 2007-03-31
  • RO - W7
    •   CC MM FF UU
    18.0 years   From 2008-01-01 to 2008-03-31
  • RO - W8
    •   CC MM FF UU II
    19.0 years   From 2009-01-01 to 2009-03-31
  • RO - W9
    •   CC MM FF UU II
    20.0 years   From 2010-01-01 to 2010-03-31
  • RO - W10
    •   CC II
    23.0 years   From 2012-10-01 to 2012-12-31
  • RO - W11
    •   CC II SS QQ
    25.0 years   From 2014-11-01 to 2014-12-31
  • Young Cohort

  • RY - W1
    •   CC MM FF UU
    13.0 years   From 2006-02-01 to 2006-05-31
  • RY - W2
    •   CC MM FF UU
    14.0 years   From 2007-02-01 to 2007-05-31
  • RY - W3
    •   CC MM FF UU
    15.0 years   From 2008-02-01 to 2008-05-31
  • RY - W4
    •   CC MM FF UU
    16.0 years   From 2009-02-01 to 2009-05-31
  • RY - W5
    •   CC MM FF UU
    17.0 years   From 2010-02-01 to 2010-05-31
  • RY - W6
    •   CC MM FF UU
    18.0 years   From 2010-12-01 to 2011-02-28
  • RY - W7
    •   CC II
    19.0 years   From 2012-10-01 to 2013-01-31
  • RY - W8
    •   CC II SS QQ
    21.0 years   From 2014-10-01 to 2015-01-31
    Mode of collection SelfAdministeredQuestionnaire
    Analysis unit Individual
    Instrument name Daily Mood Device (DMD)
    Measure name Daily Mood
    References
    Hoeksma, J. B., Sep, S. M., Vester, F. C., Groot, P. F. C., Sijmons, R., & De Vries, J. (2000). The electronic mood device: Design, construction, and application. Behavior Research Methods, Instruments, & Computers, 32(2), 322–326. https://doi.org/10.3758/bf03207801
    You can also access this dataset using the API (see API Docs).