Description Usage Format Details Source References Examples
a dataset of a single participant, with a history of major depressive disorder (MDD), whose daily life experience was monitored over the course of 239 days.
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A data frame with 1476 observations on the following 85 variables:
phasePhase of experiment.
concentratConcentration of anti-depressant.
daynoDay number of experiment.
beepnoBeep sequence number within the day.
dateMeasurement date.
beeptimeTime of presentation of questionnaire.
resptime_sTime at start questionnaire.
resptime_eTime at end questionnaire.
resp_abortQuestionnaire aborted (yes/no)?
mood_relaxed'I feel relaxed.'
mood_down'I feel down.'
mood_irritat'I feel irritated.'
mood_satisfi'I feel satisfied.'
mood_lonely'I feel lonely.'
mood_anxious'I feel anxious.'
mood_enthus'I feel enthusiastic.'
mood_suspic'I feel suspicious.'
mood_cheerf'I feel cheerful.'
mood_guilty'I feel guilty.'
mood_doubt'I feel indecisive.'
mood_strong'I feel strong.'
pat_restl'I feel restless.'
pat_agitate'I feel agitated.'
pat_worry'I worry.'
pat_concent'I can concentrate well.'
se_selflike'I like myself.'
se_ashamed'I am ashamed of myself.'
se_selfdoub'I doubt myself.'
se_handle'I can handle anything.'
soc_who1'Who am I with?'
soc_enjoy_alone'I enjoy to be alone.'
soc_prefcomp'I prefer being in company.'
soc_who2'Who else am I with?'
soc_who3'And .. (who else, in addition).'
soc_belong'I prefer being in company.'
soc_pleasant'I find this company pleasant.'
soc_prefalone'I prefer to be alone.'
soc_together'We are doing something together.'
phy_hungry'I am hungry.'
phy_tired'I am tired.'
phy_pain'I am pain.'
phy_dizzy'I feel dizzy.'
phy_drymouth'I have a dry mouth.'
phy_nauseous'I feel nauseous.'
phy_headache'I have a headache.'
phy_sleepy'I am sleepy.'
act_what1'What am I doing (right before the beep)?'
act_what2'What else are you doing?'
act_difficul'This (activity) requires effort.'
act_well'I am good at this.'
act_enjoy'I like doing this.'
phy_physact'From the last beep onwards, I was physically active.'
event_pleas'This event was...'
event_import'This event was...'
event_causeThis event was ...
event_concern'This event mainly had to do with ...'
event_freq'This event usually happens ...'
event_pertain'This event pertained to ...'
event_disturb'This beep disturbs me.'
evn_ordinaryEvening diary: 'I found this an ordinary day.'
evn_nicedayEvening diary: 'I found this a nice day.'
evn_inflmoodEvening diary: 'Filling in this questionnaire influenced my mood.'
evn_pagerEvening diary: 'Without the device I would have done different things today.'
evn_workEvening diary: 'I worked/studied today.'
evn_medEvening diary: 'I took my medication today.'
mor_asleepMorning diary: 'How long did it take me to fall asleep last night?.'
mor_nrwakeupMorning diary: 'How often did I wake up last night?'
mor_lieawakeMorning diary: 'How long did I lie awake this morning before I got up?'
mor_qualsleepMorning diary: 'I slept well.'
mor_feellikeMorning diary: 'I am looking forward to this day.'
mor_medMorning diary: 'I took my medication yesterday.'
scl90r_14SCL-90-R item 14: 'How much were you bothered by feeling low in energy or slowed down?'
scl90r_20SCL-90-R item 20: 'How much were you bothered by crying easily?'
scl90r_22SCL-90-R item 22: 'How much were you bothered by feeling of being trapped or caught?'
scl90r_05SCL-90-R item 05: 'How much were you bothered by loss of sexual interest or pleasure?'
scl90r_29SCL-90-R item 29: 'How much were you bothered by feeling lonely?'
scl90r_26SCL-90-R item 26: 'How much were you bothered by blaming yourself for things?'
scl90r_15SCL-90-R item 15: 'How much were you bothered by thoughts of ending your life?
scl90r_30SCL-90-R item 30: 'How much were you bothered by feeling blue?'
scl90r_31SCL-90-R item 31: 'How much were you bothered by worrying too much about things?'
scl90r_32SCL-90-R item 32: 'How much were you bothered by feeling no interest in things?'
scl90r_54SCL-90-R item 54: 'How much were you bothered by feeling hopeless about the future?'
scl90r_71SCL-90-R item 71: 'How much were you bothered by feeling everything is an effort?'
scl90r_79SCL-90-R item 79: 'How much were you bothered by feelings of worthlessness?'
scl90r_depSCL-90-R: Depression score (mean of item scores).
Data retrieved from single participant.
- Several columns were recoded from [-3, 3] scale to [1, 7] scale.
- dayno was recoded: the original data contained day number in the year (i.e., dayno == 1 for january 1st. The source codebook states that dayno codes "the day number in the experiment". The variable was recalculated as the number of days since the first assessment, to more accurately reflect this intend.
Kossakowski, J. J., Groot, P. C., Haslbeck, J. M. B., Borsboom, D., & Wichers, M. (2017). Data from “Critical Slowing Down as a Personalized Early Warning Signal for Depression.” Journal of Open Psychology Data, 5(1). https://doi.org/10.5334/jopd.29
Wichers, M., & Groot, P. C. (2016). Critical Slowing Down as a Personalized Early Warning Signal for Depression. Psychotherapy and Psychosomatics. https://doi.org/10.1159/000441458
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