Bootstrap simulation for pseudoreplication assessment (Sciuridae)

Knowledge graph centered on Bootstrap simulation for pseudoreplication assessment (Sciuridae) with 20 nodes and 87 connections. Top connected: Rocky Mountain Biological Laboratory, Gothic, Marmota, Yellow-bellied Marmot, mark-recapture (Sciuridae).

Method synopsis

Computational simulation using multiple random dataset selections to assess the impact of pseudoreplication on statistical results.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Do individual differences influence flight initiation distance? (2004), Journal of Wildlife Management. Implementations in other papers (listed below) may differ.

1. Perform bootstrap simulations
   Conducted several bootstrap simulations to compare results obtained with pseudoreplicated vs non-pseudoreplicated datasets. Used 77 linear models with different data selection algorithms including 1 observation/individual, 25 simulations using 3 different data selection algorithms, and 1 model with all 83 cases
   Quantities: 77 total models: 25 datasets each for 3 simulation types, plus 2 comparison modelsDuration: Post-field computational analysisConditions: Statistical analysis phase
   Equipment: SPSS 10 software

Typical Equipment

• SPSS 10 software

Output Measurements

• confidence intervals
• P-values
• effect sizes

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used