Cross-Sectional Study
Examines a population at a specific point in time and is commonly used to estimate prevalence and explore associations between different variables.
Practical tools and resources to support research, education, and professional practice.
AHEPP provides practical resources to support researchers, health professionals, and students throughout the research process. The toolkit offers guidance on research methodology, bias prevention, statistical analysis, and the preparation of high-quality research.
Guidance to support the planning and development of well-designed research studies using appropriate methodological approaches.
Resources to help researchers recognize potential sources of bias and improve the validity, reliability, and overall quality of their research.
Practical guidance for selecting appropriate statistical approaches and understanding key considerations in research data analysis.
Useful templates and structured documents designed to support researchers throughout study preparation, documentation, and reporting.
Choosing the appropriate study design is an essential step in conducting reliable and meaningful research. The choice of design depends on the research question, study objectives, population, available data, and the type of evidence required.
Examines a population at a specific point in time and is commonly used to estimate prevalence and explore associations between different variables.
Compares individuals with a particular outcome or condition to those without it in order to investigate previous exposures and potential risk factors.
Follows groups with different exposures over time to evaluate the occurrence of outcomes and investigate potential associations between exposures and health outcomes.
Compares interventions by randomly assigning participants to different groups and is commonly used to evaluate the effectiveness of clinical or health interventions.
Bias can affect the validity and interpretation of research findings. Recognizing common sources of bias and applying appropriate methodological safeguards can improve the reliability, transparency, and overall quality of research.
Occurs when the participants selected for a study are not representative of the population of interest, potentially affecting the validity of the study findings.
Can occur when information about participants, exposures, or outcomes is measured, recorded, or classified inaccurately during the research process.
May arise when participants do not remember previous events, behaviors, or exposures accurately, resulting in differences in the quality of reported information.
Occurs when another factor is associated with both the exposure and the outcome, potentially distorting the relationship being investigated.
Occurs when certain findings or outcomes are more likely to be reported, published, or emphasized than others, which may lead to an incomplete interpretation of the evidence.
High-quality research requires clear methodology, appropriate sampling, valid measurement tools, transparent reporting, careful data management, and reproducible research practices.
Choosing the appropriate statistical approach is an essential part of research. The correct method depends on the type of data, study design, number of groups, distribution of variables, and the relationship being investigated.
Summarize and describe study data using measures such as frequencies, percentages, means, medians, ranges, and standard deviations.
Select appropriate statistical methods to determine whether meaningful differences exist between two or more groups within a study.
Examine relationships between variables and evaluate the direction and strength of associations observed within research data.
Evaluate relationships between an outcome and one or more predictors while accounting for other relevant variables that may influence the results.
Assess the distribution and characteristics of study data to help determine whether parametric or non-parametric statistical approaches are appropriate.
Interpret statistical findings using measures such as confidence intervals, effect sizes, and p-values while considering their relevance to the research question.
Structured templates can support researchers in planning, documenting, conducting, and reporting their studies. These resources provide a clear framework for essential research documentation and can be adapted according to study requirements.
A structured framework for presenting the research question, objectives, methodology, study population, data collection, analysis plan, and expected outcomes.
A framework for clearly communicating the purpose, procedures, potential risks and benefits, confidentiality, and voluntary nature of participation in research.
A structured approach for organizing variables and collecting study information consistently while supporting accurate and reliable research documentation.
A framework to support clear and transparent reporting of research methods, findings, interpretation, limitations, and conclusions.