ArticleIndian journal of psychological medicine2021
The Limitations of Quasi-Experimental Studies, and Methods for Data Analysis When a Quasi-Experimental Research Design Is Unavoidable.
Article in Indian journal of psychological medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- The application of fNIRS in studies on occupational workload: a systematic review.Frontiers in public health · 2025Pooled it
- Effectiveness of psychological interventions for compassion fatigue: a systematic review and meta-analysis.Journal of occupational health · 2024Pooled it
- Emotional Well-Being and Glycemic Control in People with Diabetes After a Multidisciplinary Hybrid Education.Healthcare (Basel, Switzerland) · 2026Article
- Application of neurodegenerative disease treatment strategies in tinnitus: mechanisms, translation, and prospects.Frontiers in aging neuroscience · 2026Review
- Fifteen-minute recess freestyle rope skipping enhances classroom attention in junior high school students in the context of healthy school development: mechanisms and implications.Frontiers in psychology · 2026Article
- Behavioral smoking cessation outcomes among industrial workers in Myanmar following a health belief model-based health education and mobile phone short message service intervention.Frontiers in public health · 2026Article
- Female genital schistosomiasis in Ghana: An exploration of knowledge, attitudes, and practice among women of reproductive age.Public health in practice (Oxford, England) · 2025Article
- Review
- Article
- Examining the effectiveness of Prostatic hyperplasia education on the level of participant's knowledge and awareness.PloS one · 2025Article
- Effects of the Stanford Chronic Conditions Model on Behavioral and Clinical Indicators in Saudi Arabia: A Prospective Quasi-Experimental Study.Journal of multidisciplinary healthcare · 2025Article
- Efficacy of Horticultural Therapy on Positive, Negative, and Affective Symptoms in Individuals with Schizophrenia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Healthcare (Basel, Switzerland) · 2024Review
- An Exploratory Study on the Effects of Souchard Postural Gymnastics in Parkinson's Disease Patients with Camptocormia: A Quasi-Experimental Approach.Journal of clinical medicine · 2024Article
- The Effectiveness of the Chronic Disease Self-Management Program in Improving Patients' Self-Efficacy and Health-Related Behaviors: A Quasi-Experimental Study.Healthcare (Basel, Switzerland) · 2024Article
- Conducting and Writing Quantitative and Qualitative Research.Journal of Korean medical science · 2023Review
- Observed intervention effects for mortality in randomised clinical trials: a methodological study protocol.BMJ open · 2023Article
- Research Design: Case-Control Studies.Indian journal of psychological medicine · 2022Article
- Comments on "Caregiver Burden and Disability in Somatoform Disorder: An ExploratoryStudy".Indian journal of psychological medicine · 2022Article
- Research Design: Cohort Studies.Indian journal of psychological medicine · 2022Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A quasi-experimental (QE) study is one that compares outcomes between intervention groups where, for reasons related to ethics or feasibility, participants are not randomized to their respective interventions; an example is the historical comparison of pregnancy outcomes in women who did versus did not receive antidepressant medication during pregnancy. QE designs are sometimes used in noninterventional research, as well; an example is the comparison of neuropsychological test performance between first degree relatives of schizophrenia patients and healthy controls. In QE studies, groups may differ systematically in several ways at baseline, itself; when these differences influence the outcome of interest, comparing outcomes between groups using univariable methods can generate misleading results. Multivariable regression is therefore suggested as a better approach to data analysis; because the effects of confounding variables can be adjusted for in multivariable regression, the unique effect of the grouping variable can be better understood. However, although multivariable regression is better than univariable analyses, there are inevitably inadequately measured, unmeasured, and unknown confounds that may limit the validity of the conclusions drawn. Investigators should therefore employ QE designs sparingly, and only if no other option is available to answer an important research question.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.