Effect of self-monitoring through experience sampling on emotion differentiation in depression
Open accessAbstract
BACKGROUND Major depressive disorder has been linked to an inability to differentiate between negative emotions. The current study investigates whether emotion differentiation improves when individuals with major depressive disorder are required to report on specific emotions multiple times a day through the experience sampling method (ESM) - a structured self-report diary technique. METHODS Seventy-nine patients diagnosed with major depressive disorder participated in this study, of whom 55 used ESM for 6 weeks (3 days a week, 10 times a day). Changes from baseline to post assessment in positive and negative emotion differentiation were compared between the participants who did and those who did not use ESM. RESULTS Engaging in ESM related to an improvement in both positive and negative emotion differentiation, but only the latter reached statistical significance. The relationship between the number of ESM measurements (dose) and emotion differentiation change (response) was not significant. LIMITATIONS The sample size for the dose-response analysis was relatively small (N = 55). It is unknown whether emotion differentiation improvements generalize beyond the emotions (N = 12) we probed in this study. Other factors could also have contributed to the change (e.g., meetings with the researchers). CONCLUSIONS The present study suggests that patients with depression using ESM for 3 days a week for 6 weeks can improve their negative emotion differentiation. Future studies should assess after what period of ESM changes in emotion differentiation become apparent, and whether these changes are persistent and relate to actual improvement in depressive symptoms.
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Written from the paper’s full text.
TL;DR
In patients with major depressive disorder, six weeks of experience sampling method (ESM) self-monitoring was associated with improved negative emotion differentiation compared with a control group, while positive emotion differentiation improvement was not statistically significant. The number of completed ESM questionnaires was not significantly related to change in emotion differentiation.
Key findings
- Negative emotion differentiation improved significantly in the ESM group from baseline (M = 0.17, SD = 0.37) to post-assessment (M = 0.37, SD = 0.43), t(54) = -3.17, p = .003, d = 0.43; the control group did not improve significantly, t(23) = -0.41, p = .683, d = 0.08. In hierarchical regression, adding group status explained an additional 6.7% of variance in post-assessment negative emotion differentiation, F(1, 76) = 6.14, p = .015.
- Positive emotion differentiation showed a nonsignificant improvement in the ESM group, t(54) = -1.52, p = .136, d = 0.20; adding group status explained 3.6% more variance but was not a significant improvement, F(1, 76) = 3.40, p = .069.
- No significant dose-response relationship was found: number of filled-in questionnaires did not significantly predict negative emotion differentiation change, ∆R² = .04, F(1, 52) = 2.54, p = .117, or positive emotion differentiation change, ∆R² = .00, F(1, 52) = .06, p = .801. ESM participants responded to an average of 149.76 beeps (SD = 21.33), ranging from 87 to 224.
Methods
- Seventy-nine patients with DSM-IV-TR major depressive disorder were included; 55 were in the combined ESM group (ESM plus ESM-with-feedback) and 24 were in the control group. All completed a 5-day baseline and post-assessment ESM period; the ESM group completed 10 questionnaires per day on 3 consecutive days per week for 6 weeks, while the control group did not participate in ESM during the intervention period.
- Emotion differentiation was calculated from intraclass correlations (ICCs) with consistency of agreement among negative adjectives (down, irritated, lonely, restless, agitated, suspicious, guilty, anxious) and positive adjectives (cheerful, satisfied, enthusiastic, relaxed), rated on a 7-point Likert scale. ICCs were Fisher’s Z-transformed and subtracted from 1 so higher values indicated better differentiation.
- Hierarchical multiple regressions in Stata 14 tested post-assessment emotion differentiation with baseline emotion differentiation as a covariate and group status as a predictor; separate regressions within the ESM group tested number of filled-in questionnaires as a dose predictor.
Limitations
- The paper states that the dose-response analysis sample was relatively small (N = 55); it is unknown whether improvements generalize beyond the 12 emotions probed; other factors such as meetings with researchers could have contributed; and the design cannot determine which part of the ESM intervention caused the change.
- The paper also states that the sample size may not have been large enough to detect some effects, particularly dose-response relationships; generalization beyond the eight negative adjectives is uncertain; and clinical relevance or persistence could not be tested because the most substantial depressive symptom improvements occurred after post-assessment.
- Evident from the text: the ESM-with-feedback and ESM groups were combined for main analyses, although a post-hoc test found no significant difference between them; the dose-response range was restricted because all ESM participants completed at least 87 measurements, with a median of 151.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
0 of 10 cited sources checked · 0 supported · 0 flagged
- Findingnone given
When used for an extended period of time, the use of ESM to study emotion differentiation can have an effect on emotion differentiation.
“The results of this study also indicate that when used for an extended period of time, the use of ESM to study emotion differentiation can have an effect on emotion differentiation.”
Quote in the paperSubstantial claim - Findingown data
The control group did not significantly improve in positive emotion differentiation from pre- to post-test.
“The control group did not significantly improve from pre to post-test, t (23) = 0.60, p = .558,d = 0.12, 95% CI [-0.08, 0.15].”
Quote in the paperSubstantial claim - Findingown data
The number of completed ESM questionnaires during the 6-week period was not significantly associated with change in negative or positive emotion differentiation at post-assessment.
“The relationship between the number of ESM measurements (dose) and emotion differentiation change (response) was not significant.”
- Also stated in: § A C C E P T E D M A N U S C R I P T · plain
“Adding the number of filled in questionnaires as a second predictor did not significantly increase the explained variance, ∆R 2 = .04,F (1, 52) = 2.54, p = .117.”
Quote in the paperNot a substantial claim - Also stated in: § A C C E P T E D M A N U S C R I P T · plain
- Findingown data
Changes in emotional intensity or depression were not related to negative or positive emotion differentiation in this study.
“However, in our study changes in emotional intensity or depression were not related to negative or positive emotion differentiation.”
Quote in the paperSubstantial claim - Findingown data
No statistical evidence was found for a dose-response relationship between the actual number of filled in ESM measurements and negative emotion differentiation.
“Although the present study found that patients with depression who filled in ESM measurements for 6 weeks showed a small improvement in (negative) emotion differentiation, no statistical evidence was found for a dose-response relationship with the actual number of filled in ESM measurements.”
Quote in the paperSubstantial claim
- Findingown data
Patients with depression who filled in ESM measurements for 6 weeks showed a small improvement in negative emotion differentiation.
“Although the present study found that patients with depression who filled in ESM measurements for 6 weeks showed a small improvement in (negative) emotion differentiation”
- Also stated in: § A C C E P T E D M A N U S C R I P T · hedged
“In sum, the present study suggests that patients with depression using ESM 3 days a week for 6 weeks can improve their negative emotion differentiation.”
Quote in the paperSubstantial claim - Also stated in: § A C C E P T E D M A N U S C R I P T · hedged
- Findingown data
ESM use for 6 weeks is associated with a non-significant improvement in positive emotion differentiation from baseline to post-assessment compared with no ESM.
“Engaging in ESM related to an improvement in both positive and negative emotion differentiation, but only the latter reached statistical significance.”
- Also stated in: § A C C E P T E D M A N U S C R I P T · plain
“The ESM group did show some (nonsignificant) improvement in positive emotion differentiation, t (54) = -1.52,p = .136,d = 0.20, 95% CI [-0.21, 0.03].”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The presence of general feedback in the ESM-with-feedback condition would not additionally influence emotion differentiation.
- Also stated in: § A C C E P T E D M A N U S C R I P T · plain
- Findingown data
ESM use for 6 weeks (3 days a week, 10 times a day) is associated with greater improvement in negative emotion differentiation from baseline to post-assessment compared with no ESM.
“Engaging in ESM related to an improvement in both positive and negative emotion differentiation, but only the latter reached statistical significance.”
- Also stated in: § The Effect of ESM on Negative Emotion Differentiation · plain
“When Group was added in the second step, this model was significant and explained an additional 6.7% of the variation in negative emotion differentiation at post assessment, F (1, 76) = 6.14, p = .015.”
- Also stated in: § The Effect of ESM on Negative Emotion Differentiation · plain
“ESM group improved significantly in their ability to differentiate their negative emotions, t (54) = -3.17,p = .003,d = 0.43, 95% CI”
Quote in the paperSubstantial claim- The authors state this as an assumption: The presence of general feedback in the ESM-with-feedback condition would not additionally influence emotion differentiation.
- Also stated in: § The Effect of ESM on Negative Emotion Differentiation · plain
- Interpretationown data
This is the first study to suggest that self-monitoring of different specific negative emotions with ESM can help to improve negative emotion differentiation in patients suffering from depression.
“This is the first study to suggest that self-monitoring of different specific negative emotions with ESM can help to improve negative emotion differentiation in patients suffering from depression.”
Quote in the paperSubstantial claim - Premisecitation
Major depressive disorder is associated with less negative emotion differentiation than healthy controls.
“Major depressive disorder has been linked to an inability to differentiate between negative emotions.”
- Also stated in: § Introduction · plain
“They showed that people with depression showed less negative emotion differentiation than the healthy controls.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Demiralp et al., 2012 source
Not checked in the free run.
- Also stated in: § Introduction · plain
- Study design and conductreasoning
The sample size of the ESM group (n = 55) might not have been sufficiently large to detect a small effect.
“The sample size of the ESM group (n = 55) might not have been sufficiently large to detect such a small effect.”
- Also stated in: § A C C E P T E D M A N U S C R I P T · hedged
“Another limitation is the sample size of this study, which may not have been large enough to detect some effects, particularly the dose-response relationships, which may have been underpowered due to the size of the ESM group (n=55).”
Quote in the paperSubstantial claim - Also stated in: § A C C E P T E D M A N U S C R I P T · hedged
- Study design and conductown data
The interpretation of the results did not change when participants with a negative intraclass correlation coefficient (n = 11) were completely removed from analysis.
“The interpretation of the results did not change when the participants with a negative intraclass correlation coefficient (n = 11) were completely removed from analysis.”
Quote in the paperNot a substantial claim - Study design and conductown data
The ESM-with-feedback and ESM groups did not differ significantly in post-assessment negative emotion differentiation after adjusting for baseline.
“no significant group difference, F (1, 52) = 0.00, p = .963was found.”
Quote in the paperSubstantial claim - Premisecitation
Patients with depression do not differ from healthy controls in positive emotion differentiation.
“The study that did look into this found no difference in positive emotion differentiation between patients with depression and healthy controls (Demiralp et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Demiralp et al., 2012 source
Not checked in the free run.
- Interpretationown data
The results of this study indicate that measurement reactivity is important to consider when ESM is used for an extended period of time.
“Furthermore, the results of this study indicate that measurement reactivity is important to consider when ESM is used for an extended period of time.”
Quote in the paperSubstantial claim - Premisecitation
Patients with depression have a deficit in their negative emotion differentiation skills in comparison to healthy controls.
“It is known that patients with depression have a deficit in their negative emotion differentiation skills in comparison to healthy controls (Demiralp et al., 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Demiralp et al., 2012 source
Not checked in the free run.
- Interpretationreasoning
It seems unlikely that HDRS interviews (ESM group) and feedback on general positive affect (ESM-with-feedback group) could explain the changes found in the differentiation of negative emotions.
“It seems unlikely that HDRS interviews (ESM group) and feedback on general positive affect (ESM-with-feedback group) could explain the changes we found in the differentiation of negative emotions.”
Quote in the paperSubstantial claim - Premisecitation
More adaptive emotion regulation has been linked to recovery of depression.
“which, in turn has been linked to recovery of depression (Arditte & Joormann, 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Arditte & Joormann, 2011
Not checked in the free run.
- Study design and conductreasoning
The design of the study does not allow drawing firm conclusions on which part of the ESM-intervention caused the change in emotion differentiation.
“That said, the design of our study does not allow drawing firm conclusions on which part of the ESM-intervention caused the change in emotion differentiation.”
Quote in the paperSubstantial claim - Study design and conductown data
The ESM-with-feedback and ESM groups did not differ significantly in post-assessment positive emotion differentiation after adjusting for baseline.
“there was no significant difference between the ESM-withfeedback and ESM-group, F (1, 52) = 0.27, p = .603.”
Quote in the paperSubstantial claim - Interpretationreasoning
Improving negative emotion differentiation skills by frequently filling in questionnaires might be one of the mechanisms through which ESM could ameliorate depressive symptoms.
“Improving negative emotion differentiation skills by frequently filling in questionnaires might be one of the mechanisms through which ESM could ameliorate depressive symptoms.”
Quote in the paperSubstantial claim
- May combine two claims. 5
- Classified as probably not a substantial claim. 20
May combine two claims.
Findingown dataPatients with depression filling in ESM 3 days a week for 6 weeks improved in positive emotion differentiation when compared to the control group, but this effect was small and not significant.
“In the present study, patients with depression filling in ESM 3 days a week for 6 weeks improved in positive emotion differentiation when compared to the control group, but this effect was small and not significant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOn average, participants in the ESM group responded to 149.76 beeps (SD = 21.33), ranging from 87 to 224.
“On average, participants in the ESM group responded to 149.76 beeps (SD = 21.33)ranging from 87 to 224.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenSpecific emotions and emotion differentiation were neither the focus of the weekly meetings in the ESM group nor the ESM-with-feedback group.
“However, specific emotions and emotion differentiation were neither the focus of the weekly meetings in the ESM group nor the ESMwith-feedback group.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe assumptions of hierarchical multiple regression (normality, linearity, homoscedasticity, no multicollinearity) were not violated.
“For all analyses, the assumptions of a hierarchical multiple regression (i.e.normality, linearity, homoscedasticity and no multicollinearity) were not violated.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe most substantial improvements in depressive symptoms in the sample occurred after post assessment, when there were no more ESM measurements to determine whether improvements in emotion differentiation were sustained.
“In the present study, this could not be tested as the most substantial improvements in depressive symptoms in the sample occurred after post assessment (Kramer et al., 2014), when there were no more ESM measurements to be able to determine whether improvements in emotion differentiation were sustained.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kramer et al., 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRandomizing the time-sampling procedure and using non-intrusive devices can achieve a reduction in reactivity.
“This can be achieved by randomizing the time-sampling procedure and using non-intrusive devices (Delespaul, 1995).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Delespaul, 1995
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe weekly meetings with the researcher could have enhanced participants' attention to their emotional states.
“These meetings could have enhanced participants' attention to their emotional states.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIt is not certain that improvement in negative emotion differentiation can be generalized beyond the eight adjectives used in this study.
“One of them being that even though it can be reasoned that the participants in this study trained negative emotion differentiation as a skill, it is not certain that improvement in negative emotion differentiation can be generalized beyond the eight adjectives used in this study.”
Quote in the paperNot a substantial claim- Rests on an assumption: The affect items measured in this study are the ones often used in ESM research.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
PremisecitationReactivity can be reduced by decreasing an individual's continuous self-awareness.
“Reactivity can be reduced by decreasing an individual's continuous self-awareness.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe intervention was directed at reducing emotional intensity.
“Another thing that should be considered is that the intervention was directed at reducing emotional intensity, and that may have influenced results.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationNegative intraclass correlation coefficients were set to zero in line with previous research.
“In line with previous research, negative intraclass correlation coefficients were set to zero (e.g.Boden et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Boden et al., 2013 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationBetter negative emotion differentiation can be linked to more adaptive emotion regulation.
“Furthermore, it has been suggested that better negative emotion differentiation can be linked to more adaptive emotion regulation (Barrett et al., 2001)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Barrett et al., 2001 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenIt is unknown whether emotion differentiation improvements generalize beyond the 12 emotions probed in this study.
“It is unknown whether emotion differentiation improvements generalize beyond the emotions (N=12) we probed in this study.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningBeing asked to rate different emotions for an extended period multiple times a day can help people differentiate between emotions, because it directs them to think about the intensity of separate emotions rather than negative or positive affect in general.
“It can be reasoned, though, that being asked to rate different emotions for an extended period multiple times a day can help to differentiate between emotions, because people are directed to think about the intensity of separate emotions rather than negative or positive affect in general.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMeasurement reactivity in ESM is an important phenomenon that demands attention.
“It is recognized that measurement reactivity in ESM is an important phenomenon that demands attention (Myin-Germeys et al., 2018)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Myin-Germeys et al., 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataRandomization was stratified based on current psychotherapy and duration of pharmacological treatment.
“Randomization was stratified based on current psychotherapy (yes or no) and duration of pharmacological treatment (shorter or longer than 8 weeks prior to study entry).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThis effect of ESM on emotion differentiation could have implications for all studies using ESM as a measurement tool.
“This could have implications for all studies using ESM as a measurement tool.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThere were no significant baseline differences between groups in mean levels of affect items and positive and negative emotion differentiation ICCs.
“There were no significant group differences in terms of mean levels of the affect items and positive and negative emotion differentiation ICCs.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenApart from filling in ESM questionnaires for 6 weeks, another difference between the ESM group and the control group were the weekly meetings with the researcher.
“One of the things that should be considered is that apart from filling in ESM questionnaires for 6 weeks another difference between the ESM group and the control group were the weekly meetings with the researcher.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe sample size for the dose-response analysis was relatively small (N=55).
“The sample size for the dose-response analysis was relatively small (N=55).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe results of the present research give more insight into measurement reactivity.
“and the results of the present research give more insight into measurement reactivity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe smaller effect on positive emotion differentiation could be due to less room for improvement in positive differentiation in depression.
“Based on the findings by Demiralp and colleagues (2012) that positive emotion differentiation did not differ between individuals suffering from depression and healthy controls, this could be due to less room for improvement in positive differentiation in depression.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Demiralp and colleagues (2012)
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningWhen using ESM to modify behaviors, reactivity might be of use.
“Conversely, when using ESM to modify behaviors, for example to train emotion differentiation, reactivity might be of use, and the ESM procedure should be adapted accordingly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIt cannot be discarded that focusing on positive emotions multiple times a day might have an effect on emotion differentiation.
“All things considered, it cannot be discarded that focusing on positive emotions multiple times a day might have an effect on emotion differentiation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe present study might have enabled participants to train negative emotion differentiation more because there were more negative (n = 8) than positive (n = 4) affect items in the ESM measurements.
“Alternatively, given that there were more negative (n = 8) than positive (n = 4) affect items in the ESM measurements, the present study might have enabled participants to train negative emotion differentiation more.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Many emotion differentiation studies used ESM only for a couple of days and did not examine changes in emotion differentiation over time.
“Many emotion differentiation studies used this procedure only for a couple of days without looking at changes in emotion differentiation over time.”
The authors state this as an assumption.
The presence of general feedback in the ESM-with-feedback condition would not additionally influence emotion differentiation.
“Therefore, it was not expected that the presence of feedback would influence emotion differentiation, and the ESMwith-feedback and ESM groups, who both engaged in ESM for 6 weeks, were combined into one ESM group for the main analyses.”
“To verify this assumption, a post-hoc hierarchical multiple regression was conducted with negative emotion differentiation at post-test as dependent variable,”
The paper relies on this without support.
The affect items measured in this study are the ones often used in ESM research.
“It should be noted, however, that the affect items that were measured are the ones often used in ESM research.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In clinical practice, self-management and self-insight may be enhanced by obtaining insights into one's emotion dynamics.
“In clinical practice, self-management and self-insight may be enhanced by obtaining insights into one's emotion dynamics [22,26,27].”
From A Smartphone Serious Game for Adolescents (Grow It! App): Development, Feasibility, and Acceptance Study (2022) · cites this paper as [27]
The Discussion (page not supplied) suggests that self-monitoring may improve negative emotion differentiation in patients with depression, potentially helping them choose emotion-regulation strategies. This supports the proposed self-management benefit, but the paper does not establish that obtaining insights into emotion dynamics enhances self-insight. (LLM, conf=0.80)
Experimental — accuracy not yet measuredSelf-management may be enhanced by obtaining insights into everyday functioning dynamics based on ESM data.
“Moreover, self-management may be enhanced by obtaining insights into everyday functioning dynamics, based on ESM data [22,26,27].”
From A Smartphone Serious Game for Adolescents (Grow It! App): Development, Feasibility, and Acceptance Study (2022) · cites this paper as [27]
The Discussion reports that ESM self-monitoring improved negative emotion differentiation in patients with depression and suggests this might help them choose emotion-regulation strategies. The methods also describe ESM-derived feedback about daily activities and events. The paper does not establish that insights from those data enhanced self-management; it says further research is needed to determine whether the observed change improves outcomes. Page numbers were not available in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAfter 6 weeks of self-monitoring, there was a significant improvement in negative emotions' differentiation and a close-to-significance improvement in positive emotions' differentiation, regardless of EMA-derived feedbacks.
“Widdershoven and colleagues observed a significant improvement in negative emotions’ differentiation and a close-to-significance improvement in positive emotions’ differentiation after 6-weeks of self-monitoring, regardless of EMA-derived feedbacks”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [68]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Not confirmedF(53, 1) = 4.86reported p = .032 · recomputed p = .348
“F (53, 1) = 4.86, p = .032”
- ConsistentF(1, 77) = 8.47reported p = .005 · recomputed p = .005
“F (1, 77) = 8.47, p = .005”
- ConsistentF(1, 76) = 6.14reported p = .015 · recomputed p = .015
“F (1, 76) = 6.14, p = .015”
- Consistentt(54) = -3.17reported p = .003 · recomputed p = .003
“t (54) = -3.17,p = .003”
- ConsistentF(1, 52) = 0reported p = .963 · recomputed p = 1.000
“F (1, 52) = 0.00, p = .963”
- ConsistentF(1, 77) = 14.98reported p < .001 · recomputed p < .001
“F (1, 77) = 14.98, p < .001”
- Consistentt(54) = -1.52reported p = .136 · recomputed p = .134
“t (54) = -1.52,p = .136”
- Consistentt(23) = 0.6reported p = .558 · recomputed p = .554
“t (23) = 0.60, p = .558”
- ConsistentF(1, 52) = 0.27reported p = .603 · recomputed p = .606
“F (1, 52) = 0.27, p = .603”
- ConsistentF(1, 53) = 5.03reported p = .029 · recomputed p = .029
“F (1, 53) = 5.03, p = .029”
- ConsistentF(1, 52) = 2.54reported p = .117 · recomputed p = .117
“F (1, 52) = 2.54, p = .117”
- ConsistentF(1, 52) = 0.06reported p = .801 · recomputed p = .807
“F (1, 52) = .06,p = .801”
- Consistentt(23) = -0.41reported p = .683 · recomputed p = .686
“t (23) = -0.41,p = .683”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Seven-point scale has eight stated values
MinorA scale numbered from 0 through 7 has eight integer response values, not seven.
“on a 7-point Likert scale”
“(ranging from 0 = "not at all" to 7 = "very")”
Six, not eight, negative items were used during the intervention
MinorThe discussion attributes the opportunity to train negative emotion differentiation to eight negative items, but the methods say two of the eight were excluded from the six-week ESM period.
“given that there were more negative (n = 8) than positive (n = 4) affect items in the ESM measurements, the present study might have enabled participants to train negative emotion differentiation more.”
“All these adjectives except for "restless" and "agitated" were also included in the 6-week ESM period.”
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“Further inclusion criteria were: a total score of at least 8 on the Hamilton Depression Rating Scale – 17 (HDRS; Hamilton, 1960); treatment with antidepressants or mood stabilizers; sufficient knowledge of the Dutch language; and adequate vision.”
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“Indeed, Edwards and Wupperman (2016) showed that low overall emotion differentiation was associated with poorer emotion regulation, which in turn has been associated with more psychopathology (Aldao et al., 2010).”
BackgroundStructured Clinical Interview for DSM-IV Axis I Disorders
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How Emotion Shapes Behavior: Feedback, Anticipation, and Reflection, Rather Than Direct Causation
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“, 2004), there are also studies that report no effect of greater positive differentiation on emotion regulation (Barrett et al., 2001; Pond et al., 2012).”
BackgroundThe Experience Sampling Method
Larson, R. W., & Csíkszentmihályi, M. (2014) · Springer eBooks · doi:10.1007/978-94-017-9088-8_2 · Cited by 1,047 · see citing works
Van Breukelen, G. J. P. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.02.007 · Cited by 765 · see citing works
Experience sampling methodology in mental health research: new insights and technical developments.
Myin‐Germeys, I., Kasanova, Z., Vaessen, T., Vachon, H., Kirtley, O., Viechtbauer, W., & Reininghaus, U. (2018) · World Psychiatry · doi:10.1002/wps.20513 · Cited by 709 · see citing works
Kashdan, T. B., Barrett, L. F., & McKnight, P. E. (2015) · Current Directions in Psychological Science · doi:10.1177/0963721414550708 · Cited by 463 · cited 1× · see citing works
“When using ESM people are asked to rate the intensity of different emotions at several time-points during the day (Kashdan et al., 2015).”
MethodEmotion Regulation in Depression
Joormann, J., & Vanderlind, W. M. (2014) · Clinical Psychological Science · doi:10.1177/2167702614536163 · Cited by 355 · see citing works
Assessing schizophrenia in daily life : the experience sampling method
Delespaul, P. (1995) · doi:10.26481/dis.19950504pd · Cited by 349 · see citing works
Kramer, I., Simons, C. J. P., Hartmann, J. A., Menne-Lothmann, C., Viechtbauer, W., Peeters, F., Schruers, K., van Bemmel, A. L., Myin-Germeys, I., Delespaul, P., et al. (2014) · World Psychiatry · doi:10.1002/wps.20090 · Cited by 306 · see citing works
Self-citationEcological momentary interventions in psychiatry
Myin‐Germeys, I., Klippel, A., Steinhart, H., & Reininghaus, U. (2016) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000255 · Cited by 223 · see citing works
Feeling blue or turquoise? Emotional differentiation in major depressive disorder
Demiralp, E., Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Barrett, L. F., Ellsworth, P. C., Demiralp, M., Hernandez-Garcia, L., Deldin, P. J., et al. (2012) · Psychological Science · doi:10.1177/0956797612444903 · Cited by 205 · see citing works
Kashdan, T. B., Ferssizidis, P., Collins, R. L., & Muraven, M. (2010) · Psychological Science · doi:10.1177/0956797610379863 · Cited by 199 · see citing works
Emotion differentiation moderates aggressive tendencies in angry people: A daily diary analysis.
Pond, R. S., Kashdan, T. B., DeWall, C. N., Savostyanova, A., Lambert, N. M., & Fincham, F. D. (2012) · Emotion · doi:10.1037/a0025762 · Cited by 187 · see citing works
From Environment to Therapy in Psychosis: A Real-World Momentary Assessment Approach
Myin‐Germeys, I., Birchwood, M. J., & Kwapil, T. R. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq164 · Cited by 177 · see citing works
Erbaş, Y., Ceulemans, E., Pe, M. L., Koval, P., & Kuppens, P. (2014) · Cognition & Emotion · doi:10.1080/02699931.2013.875890 · Cited by 166 · see citing works
Self-citationZaki, L. F., Coifman, K. G., Rafaeli, E., Berenson, K. R., & Downey, G. (2013) · Behavior Therapy · doi:10.1016/j.beth.2013.04.008 · Cited by 161 · see citing works
Are emotional clarity and emotion differentiation related?
Boden, M. T., Thompson, R. J., Dizén, M., Berenbaum, H., & Baker, J. P. (2013) · Cognition & Emotion · doi:10.1080/02699931.2012.751899 · Cited by 126 · see citing works
Rhee, L., Bayer, J., & Hedstrom, A. (2020) · The International Encyclopedia of Media Psychology · doi:10.1002/9781119011071.iemp0030 · Cited by 113 · see citing works
Kimhy, D., Vakhrusheva, J., Khan, S., Chang, R. W., Hansen, M. C., Ballon, J. S., Malaspina, D., & Gross, J. J. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.01.020 · Cited by 84 · see citing works
Emotion differentiation in autism spectrum disorder
Erbaş, Y., Ceulemans, E., Boonen, J., Noens, I. L. J., & Kuppens, P. (2013) · Research in Autism · doi:10.1016/j.rasd.2013.07.007 · Cited by 80 · see citing works
Self-citationStarr, L. R., Hershenberg, R., Li, Y. I., & Shaw, Z. A. (2017) · Clinical Psychological Science · doi:10.1177/2167702617694657 · Cited by 78 · see citing works
Nothing Tastes as Good as Thin Feels
Selby, E. A., Wonderlich, S. A., Crosby, R. D., Engel, S. G., Panza, E. A., Mitchell, J. E., Crow, S. J., Peterson, C. B., & Grange, D. L. (2013) · Clinical Psychological Science · doi:10.1177/2167702613512794 · Cited by 74 · see citing works
Emotion Regulation in Depression: Reflection Predicts Recovery from a Major Depressive Episode
Hall, K. A. A., & Joormann, J. (2011) · Cognitive Therapy and Research · doi:10.1007/s10608-011-9389-4 · Cited by 73 · see citing works
Emotion differentiation and its relation with emotional well-being in adolescents
Lennarz, H. K., Lichtwarck‐Aschoff, A., Timmerman, M. E., & Granic, I. (2017) · Cognition & Emotion · doi:10.1080/02699931.2017.1338177 · Cited by 73 · see citing works
Edwards, E. R., & Wupperman, P. (2016) · Deviant Behavior · doi:10.1080/01639625.2016.1241066 · Cited by 71 · see citing works
Bastiaansen, J. A., Meurs, M., Stelwagen, R., Wunderink, L., Schoevers, R. A., Wichers, M., & Oldehinkel, A. J. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1847-z · Cited by 42 · see citing works
Self-citationPlonsker, R., Gavish Biran, D., Zvielli, A., & Bernstein, A. (2017) · Cognition and Emotion · doi:10.1080/02699931.2016.1211993 · Cited by 31 · see citing works
Flagged first, then by citations
1 of the 33 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Colombo, D., Fernández-Álvarez, J., Patané, A., Semonella, M., Kwiatkowska, M., García-Palacios, A., Cipresso, P., Riva, G., & Botella, C. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8040465 · Cited by 194 · see citing works
Context-aware experience sampling reveals the scale of variation in affective experience
Hoemann, K., Khan, Z., Feldman, M. J., Nielson, C., Devlin, M., Dy, J., Barrett, L. F., Wormwood, J. B., & Quigley, K. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-69180-y · Cited by 124 · see citing works
Eisele, G. V., Vachon, H., Lafit, G., Tuyaerts, D., Houben, M., Kuppens, P., Myin‐Germeys, I., & Viechtbauer, W. (2022) · Psychological Assessment · doi:10.1037/pas0001177 · Cited by 64 · see citing works
Self-citationBos, F. M., von Klipstein, L., Emerencia, A. C., Veermans, E., Verhage, T., Snippe, E., Doornbos, B., Hadders-Prins, G., Wichers, M., & Riese, H. (2022) · JMIR Mental Health · doi:10.2196/36430 · Cited by 62 · see citing works
Self-citationEmotion Differentiation and Youth Mental Health: Current Understanding and Open Questions
Nook, E. C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.700298 · Cited by 56 · see citing works
Hoemann, K., Barrett, L. F., & Quigley, K. S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.704125 · Cited by 56 · see citing works
ESMvis: a tool for visualizing individual Experience Sampling Method (ESM) data
Bringmann, L. F., van der Veen, D. C., Wichers, M., Riese, H., & Stulp, G. (2020) · Quality of Life Research · doi:10.1007/s11136-020-02701-4 · Cited by 51 · see citing works
Self-citationClassification of 74 facial emoji’s emotional states on the valence-arousal axes
Kutsuzawa, G., Umemura, H., Eto, K., & Kobayashi, Y. (2022) · Scientific Reports · doi:10.1038/s41598-021-04357-7 · Cited by 48 · see citing works
Emotion differentiation moderates the effects of rumination on depression: A longitudinal study.
Liu, D. Y., Gilbert, K., & Thompson, R. J. (2019) · Emotion · doi:10.1037/emo0000627 · Cited by 44 · see citing works
Hoemann, K., Khan, Z., Kamona, N., Dy, J., Barrett, L. F., & Quigley, K. S. (2021) · Psychophysiology · doi:10.1111/psyp.13818 · Cited by 40 · see citing works
Folkersma, W., Veerman, V., Ornée, D. A., Oldehinkel, A. J., Alma, M. A., & Bastiaansen, J. A. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100436 · Cited by 38 · see citing works
Self-citationBastiaansen, J. A., Ornée, D. A., Meurs, M., & Oldehinkel, A. J. (2020) · Psychological Medicine · doi:10.1017/s0033291720004845 · Cited by 41 · see citing works
Self-citationAssche, E. V., Ramos‐Quiroga, J. A., Pariante, C. M., Sforzini, L., Young, A. H., Flossbach, Y., Gold, S. M., Hoogendijk, W. J. G., Baune, B. T., & Maron, E. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.05.007 · Cited by 39 · see citing works
Dietvorst, E., Aukes, M. A., Legerstee, J. S., Vreeker, A., Hrehovcsik, M. M., Keijsers, L., & Hillegers, M. H. J. (2022) · JMIR Formative Research · doi:10.2196/29832 · Cited by 35 · see citing works
“In clinical practice, self-management and self-insight may be enhanced by obtaining insights into one's emotion dynamics [22,26,27].”
BackgroundEmotional Granularity is Associated with Daily Experiential Diversity
Hoemann, K., Lee, Y., Kuppens, P., Gendron, M., & Boyd, R. L. (2023) · Affective Science · doi:10.1007/s42761-023-00185-2 · Cited by 39 · see citing works
Self-citationLeertouwer, I., Cramer, A. O. J., Vermunt, J. K., & Schuurman, N. K. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.764526 · Cited by 26 · see citing works
Using Freely Generated Labels Instead of Rating Scales to Assess Emotion in Everyday Life
Hoemann, K., Warfel, E. A., Mills, C., Allen, L., Kuppens, P., & Wormwood, J. B. (2024) · Assessment · doi:10.1177/10731911241283623 · Cited by 21 · see citing works
Self-citationPositive affect predicts engagement in healthy behaviors within a day, but not across days
Aurora, P., Disabato, D. J., & Coifman, K. G. (2022) · Motivation and Emotion · doi:10.1007/s11031-021-09924-z · Cited by 18 · see citing works
Understanding Emotion Changes in Mobile Experience Sampling
Kang, S., Park, C. Y., Kim, A., Cha, N., & Lee, U. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501944 · Cited by 18 · see citing works
Negative Emotion Differentiation Predicts Psychotherapy Outcome: Preliminary Findings
Lazarus, G., & Fisher, A. J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.689407 · Cited by 18 · see citing works
Emotion Differentiation in Current and Remitted Major Depressive Disorder
Thompson, R. J., Liu, D. Y., Sudit, E. S., & Boden, M. T. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.685851 · Cited by 17 · see citing works
Ottenstein, C., Hasselhorn, K., & Lischetzke, T. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02346-y · Cited by 13 · see citing works
Matt, L. M., Seah, T. H. S., & Coifman, K. G. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299540 · Cited by 12 · see citing works
Thonon, B., van Aubel, E., Lafit, G., Libera, C. D., & Larøi, F. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02824-5 · Cited by 13 · see citing works
Context-aware experience sampling reveals the scale of variation in affective experiencePreprint
Hoemann, K., Khan, Z., Feldman, M. J., Nielson, C., Devlin, M., Dy, J., Barrett, L. F., Wormwood, J. B., & Quigley, K. S. (2020) · doi:10.31234/osf.io/cvjb8 · Cited by 14 · see citing works
Effects of chronic stress on smartphone addiction: A moderated mediation model
Qiu, H., Lü, H., Pei, J., Zhang, Y., Ma, Y., Xing, C., Wang, X., & Zhu, X. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1048210 · Cited by 16 · see citing works
A network analytic approach to measuring emotional granularityPreprint
Hoemann, K., Fan, M., Engen, H. G., Chou, C.-A., Quigley, K. S., Gendron, M., & Barrett, L. F. (2020) · doi:10.31234/osf.io/yt9cv · Cited by 11 · see citing works
Seah, T. H. S., & Coifman, K. G. (2024) · Cognition & Emotion · doi:10.1080/02699931.2024.2382334 · Cited by 12 · see citing works
Technology-Based Ecological Momentary Assessment in Clinical Psychology
Colombo, D., Suso‐Ribera, C., Fernández‐Álvarez, J., Cipresso, P., García‐Palacios, A., Riva, G., & Botella, C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00003-0 · Cited by 9 · see citing works
Stichter, M., & Fridland, E. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009307857 · Cited by 9 · see citing works
Schreuder, M. J., Wichers, M., Hartman, C. A., Menne‐Lothmann, C., Decoster, J., van Winkel, R., Delespaul, P., Binder, M. D., Derom, C. A., Thiery, E. W., et al. (2020) · Emotion · doi:10.1037/emo0000778 · Cited by 9 · see citing works
Self-citationBereaved Parents’ Change in Mental Health during a Dyadic Diary
Büyükcan-Tetik, A., Topal, M. A., Deryalar, B., Ergun, T. D., Aydin, E., & Aykutoğlu, B. (2023) · Journal of Loss and Trauma · doi:10.1080/15325024.2023.2267420 · Cited by 7 · see citing works
Lv, W., Qiu, H., Lü, H., Ya-juan, Z., Yongjie, M., Xing, C., & Zhu, X. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1358097 · Cited by 6 · see citing works
First-person thought is associated with body awareness in daily life
MacVittie, A. L., Kochanowska, E., Kam, J. W. Y., Allen, L., Mills, C., & Wormwood, J. B. (2024) · Scientific Reports · doi:10.1038/s41598-024-75885-1 · Cited by 6 · see citing works
Emotion and its Management: The Lens of Language and Social Psychology
Gallois, C., Vanman, E. J., Kalokerinos, E. K., & Greenaway, K. H. (2020) · Journal of Language and Social Psychology · doi:10.1177/0261927x20966722 · Cited by 6 · see citing works
Knapp, K. S., Bradizza, C. M., Zhao, J., Linn, B. K., Wilding, G. E., LaBarre, C., & Stasiewicz, P. R. (2024) · Behaviour Research and Therapy · doi:10.1016/j.brat.2024.104474 · Cited by 7 · see citing works
Socada, J. L., Söderholm, J. J., Rosenström, T. H., Lahti, J. M. T., Ekelund, J., & Isometsä, E. T. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.01.010 · Cited by 7 · see citing works
Emotional granularity in health and psychopathology: A scoping review
Ozomaro, B., Wein, P. Y., Miller, S., Ospina, L. H., Goodman, M. S., Torous, J. B., & Kimhy, D. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.08.008 · Cited by 5 · see citing works
The effect of serial day on the measurement of positivity and emotional complexity in diary studies
Ganzach, Y., & Bulmash, B. (2021) · European Journal of Social Psychology · doi:10.1002/ejsp.2809 · Cited by 5 · see citing works
Yong, S., Hung, M.-W., Yuan, C. W., Chiu, C., Huang, M., & You, C.-W. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579507 · Cited by 5 · see citing works
Seah, T. H. S., Silk, J., Forbes, E., & Ladouceur, C. D. (2024) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2024.102942 · Cited by 4 · see citing works
Leertouwer, I., Vermunt, J. K., & Schuurman, N. K. (2022) · doi:10.31234/osf.io/dysv8 · Cited by 4 · see citing works
Lau, S. C. L., Bright, L., Connor, L. T., & Baum, C. M. (2024) · OTJR Occupational Therapy Journal of Research · doi:10.1177/15394492241238948 · Cited by 3 · see citing works
Hidding, M., Veling, W., Pijnenborg, G. H. M., & van der Stouwe, E. C. D. (2025) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2025.102053 · Cited by 3 · see citing works
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März, J., de Vries, L. P., Scholten, H., Vreeker, A., Legerstee, J. S., Keijsers, L., Penninx, B. W. J. H., & Hillegers, M. H. J. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100859 · Cited by 2 · see citing works
What Role Does Emotional Granularity Play in Adolescent Depression and Anxiety? A Scoping Review
Dunning, D. L., Wright, G., Bennett, M., Knight, R., Nook, E. C., & Dalgleish, T. (2025) · Journal of Adolescence · doi:10.1002/jad.70028 · Cited by 6 · see citing works
Suen, Y. N., Yau, J. Y., Wong, P. S., Li, Y. K., Hui, C. L. M., Chan, S. K. W., Lee, E. H. M., Chang, W. C., & Chen, E. Y. H. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114880 · Cited by 2 · see citing works
Emoji Emotional States: Classification on the Valence and Arousal AxesPreprint
Kutsuzawa, G., Umemura, H., Eto, K., & Kobayashi, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-701032/v1 · Cited by 2 · see citing works
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An Ecological Momentary Intervention Using Self-Compassionate Writing to Reduce Stress
Chishima, Y., Sugawara, D., & Mizuno, M. (2025) · Mindfulness · doi:10.1007/s12671-024-02503-6 · Cited by 1 · see citing works
Advances in ESM-Derived Feedback Integrated into Psychotherapy
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Jamal, R., & Kullar, M. (2022) · doi:10.31234/osf.io/c957d · Cited by 1 · see citing works
Emotional differentiation and mental health of adolescents: A literature review
Zhang, Y. (2022) · BCP Social Sciences & Humanities · doi:10.54691/bcpssh.v19i.1732
The Ambulatory Assessment in Research and Individual Case Analysis in Psychiatry and Psychotherapy
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Time-Series Signals of Affect and Neural Dynamics with Technology to Identify Depression Risk
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A playful experience sampling method to report emotions using smartwatches and emojis
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- Authors
- Widdershoven, R. L. A., Wichers, M., Kuppens, P., Hartmann, J. A., Menne-Lothmann, C., Simons, C. J. P., & Bastiaansen, J. A.
- Affiliations
- Maastricht University (NL)
- University Medical Center Groningen (NL)
- KU Leuven (BE)
- The University of Melbourne (AU)
- Maastricht University Medical Centre (NL)
- Corresponding author
- Bastiaansen, Jojanneke A.
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 244
- Pages
- 71-77
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2895204532
- Semantic Scholar
- 059200bd6568c183c6ded8e083148fd366d409f2
- Cited by
- 70
- References
- 33
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 12 · 2023: 7 · 2022: 11 · 2021: 11 · 2020: 12 · 2019: 2
- FWCI
- 8.19
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
- Lirias (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by-nc-nd)
- Research Publications (Maastricht University) (submittedVersion)
- Funders
- Dutch Health Research Council (171001002, 91501003)
- European Community's Seventh Framework Program (HEALTH-F2-2009-241909)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- major depressive disorder, emotion differentiation, ecological momentary assessment, self-monitoring, negative emotions, positive emotions, emotion regulation, dose-response relationship
- MeSH terms
- Ecological Momentary Assessment, Adolescent, Adult, Aged, Depressive Disorder, Major, Major Depressive Disorder, Emotions, Female, Humans, Male, Middle Aged, Young Adult, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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