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Record W2997272895 · doi:10.46743/2160-3715/2020.3738

The Experiences of Parents and Facilitators in a Positive Parenting Program

2020· article· en· W2997272895 on OpenAlexaff
Lauren Stenason, Jessie Moorman, Elisa Romano

Bibliographic record

VenueThe Qualitative Report · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyFocus groupFlexibility (engineering)Positive parentingDevelopmental psychologyQualitative researchCorporal punishmentMedical educationSocial psychologyIntervention (counseling)MedicineSociology

Abstract

fetched live from OpenAlex

The researchers examined facilitators’ and parents’ experiences with the Positive Discipline in Everyday Parenting (PDEP) program through qualitative methodology. PDEP is a primary prevention program that teaches parents to move away from physical punishment and toward conflict resolution and positive parenting that focuses on stages of child development. Using a phenomenological approach, we conducted focus groups using semi-structured interviews with four PDEP facilitators and seven parents who completed the program. Parents and facilitators indicated that PDEP helped them learn new ways of thinking about parenting and contributed to overall changes in their parenting approach, including finding a balance of structured and sensitive parenting practices. Factors that contributed to positive experiences included the coherence and continuity among program modules, use of concrete examples to demonstrate concepts, supportive facilitators and fellow group members, and the provision of childcare. Suggestions for program improvement included the use of even more concrete examples to demonstrate parenting concepts, longer program duration, and greater flexibility in program delivery. These findings are important for further adaptations to the PDEP program. These findings may also be generalized to parenting programs that share similar core principles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.094
GPT teacher head0.477
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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