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Case Studies

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.

Strategies for Assessing and Addressing Confounding

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...

Crossover Experiments

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Observational Studies

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...

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Related Experiment Video

Updated: Jul 4, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Combining Data from Multiple Studies.

¹Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston.

|February 6, 2024

Summary

This summary is machine-generated.

Meta-analysis combines medical research data for stronger evidence. This statistical tool enhances intervention effect estimates, especially with small or conflicting studies, aiding healthcare decisions.

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Last Updated: Jul 4, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Combining Lipophilic dye, in situ Hybridization, Immunohistochemistry, and Histology

Combining Lipophilic dye, in situ Hybridization, Immunohistochemistry, and Histology

Published on: March 17, 2011

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

Area of Science:

Medical Statistics
Evidence Synthesis

Background:

Meta-analysis is a statistical method for combining data from multiple medical studies.
It addresses limitations of individual studies, such as small sample sizes or conflicting results.

Discussion:

Synthesizing evidence quantitatively provides a comprehensive view of research findings.
This approach enhances the reliability and robustness of intervention effect estimates.

Key Insights:

Meta-analysis yields more dependable results than single studies.
It is crucial for informing healthcare policy and decision-making.

Outlook:

Further application of meta-analysis will strengthen medical research.
Its role in evidence-based healthcare is increasingly vital.