Comparing the effectiveness of group-based Cognitive-Behavioral Couple Therapy (CBCT) and Schema-Based Couple Therapy (SBCT) workshops in reducing desire for divorce and marital boredom
Azam Ardeh; Elham Goodarzi; Zahra Madadi; Changiz Rostami; Ali Ghiaci; Jamile Shahverdi · 2025 · BMC Research Notes
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Background Marital relationships, like any other interpersonal bond, encompass both positive and negative dimensions. Central to the success of marriage is the level of satisfaction and commitment experienced by the partners. This study aims to compare the efficacy of cognitive-behavioral couple therapy and schema-based couple therapy in reducing the desire for divorce and marital boredom. Methods This experimental study employed a pre-test-post-test design with a control group. The research sample comprised couples experiencing marital issues who sought counseling at various counseli
Abstract by Azam Ardeh; Elham Goodarzi; Zahra Madadi; Changiz Rostami; Ali Ghiaci; Jamile Shahverdi, BMC Research Notes (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.1186/s13104-025-07339-4
