Cited by 242Psychological Testing and AssessmentAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesBehavioral and Psychological Studies

An overview of self-monitoring research in assessment and treatment.

Korotitsch, William J., Nelson-Gray, Rosemery O.·1999·Psychological Assessment

Integrity signals

Registry

Crossref · 10.1037/1040-3590.11.4.415

Cites

92 of 92 references verified0 citation errors · 0 not checkable

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  • EMA is an important component of PBT that may contribute significantly to its effectiveness through reactivity to self-observation.

    “Since EMA is an important component of PBT that may contribute significantly to its effectiveness through reactivity to self-observation [51], we intend to disentangle the effects of intense self-monitoring before treatment from the effects of personalized interventions based on idiographic dynamic network analyses within treatment.”

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Authors
Korotitsch, W. J., & Nelson-Gray, R. O.
Affiliations
University of North Carolina at Greensboro (US)
Venue
Psychological Assessment
Published
1999-12
Volume
11
Issue
4
Pages
415-425
ISSN
  • 1040-3590 (ISSN-L)
  • 1939-134X
OpenAlex
W2040860175
Cited by
241
References
92
Citations by year
2026: 9 · 2025: 6 · 2024: 6 · 2023: 12 · 2022: 8 · 2021: 11 · 2020: 18 · 2019: 7 · 2018: 17 · 2017: 14 · 2016: 14 · 2015: 13 · 2014: 11 · 2013: 15 · 2012: 6
FWCI
7.63
Type
journal article
Language
en
Open access
closed
Locations
Psychological Assessment (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
Keywords
self-monitoring, behavior analysis, applied behavior analysis

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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.

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