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Related Concept Videos

Experimental Designs01:16

Experimental Designs

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An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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What is an Experiment?01:12

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Hardy-Weinberg Principle01:49

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Principles of experimental design for ecology and evolution.

Dustin J Marshall1

  • 1School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.

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Replicating ecological and evolutionary experiments at the correct biological scale is crucial for valid causal inference. This guide helps researchers align replication scale with inference scale for robust experimental design.

Keywords:
causal inferenceexperimental designreplication

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Experimental Design

Background:

  • Empirical ecology and evolution rely on sound experimental design.
  • Many studies lack appropriate replication scales, potentially weakening causal inference.
  • Identifying the correct scale of replication is vital for study validity.

Discussion:

  • This guide offers a framework for selecting appropriate replication scales in ecological and evolutionary experiments.
  • It emphasizes aligning the scale of replication with the scale of the research question or inference.
  • The benefits of multi-scalar replication in biological organization are explored.

Key Insights:

  • Experimental design must consider the scale of replication relative to the scale of inference.
  • Appropriate replication ensures the rigor and reliability of ecological and evolutionary findings.
  • A mismatch in scales can lead to unsupported causal claims.

Outlook:

  • Promotes a standardized approach to discussing and reviewing experimental design in ecology and evolution.
  • Encourages dialogue on scale-dependent replication to advance the field.
  • Aims to improve the quality and impact of ecological and evolutionary research through better design.