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Experimental Design & Data Collection · Survey Design & Psychometrics

Survey design: complex and multistage sampling designs

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Survey design and sampling theory

Overview

Topics covered

  • Introduction
  • Complex, multi-stage sampling designs
  • Fundamentals of Frequentist Sampling Theory
  • Populations, Frames and Selection Probabilities
  • The Horvitz-Thompson Estimator
  • Basic Sample Designs as Building Blocks

Related concepts

Main connections

  • Variance & standard deviation
  • Survey sampling methods
  • Unsupervised learning & clustering
  • Mean & expected value
  • Maximum likelihood estimation
  • Confidence interval

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

p(s)≥0∀s∈𝒮Y∑s∈𝒮p(s)=1
View LaTeX sourcep(s) \geq 0 \quad \forall s \in \mathcal{S} \qquad \text{Y} \qquad \sum_{s \in \mathcal{S}} p(s) = 1