Midlands State University Library

Counting sheep: sample size and statistical inference in stable isotope analysis and palaeodietary reconstruction (Record no. 160533)

MARC details
000 -LEADER
fixed length control field 02323nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221121114105.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221121b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pearson, Jessica
Relator term author
245 ## - TITLE STATEMENT
Title Counting sheep: sample size and statistical inference in stable isotope analysis and palaeodietary reconstruction
Statement of responsibility, etc. created by Jessica Pearson and Matt Grove
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Taylor & Francis
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. The analysis of stable isotopes from biological remains has contributed greatly to archaeological knowledge in recent decades, with major contributions to areas such as prehistoric diet and mobility. The increasing importance of isotopic studies within archaeology has been paralleled by an increasing sophistication of laboratory techniques. At present, however, the relationship between sample size and the strength of the conclusions that can be drawn about the underlying population has received insufficient attention. In this paper we undertake to provide a series of statistical analyses that demonstrate the strength of inference in relation to sample size using a large corpus of carbon and nitrogen isotope measurements of bone collagen from a single species at one site (n = 174). We employ a sub-sampling approach to establish sample sizes at which estimated mean values asymptote, and derive confidence intervals accordingly. Our study quantifies the probability that means calculated from samples of various sizes would contain the estimated true value of the population mean with their 95 per cent confidence limits. Using these results, we suggest that large discrepancies should be expected where fewer than eight samples are used to estimate the population mean, but that sampling redundancy occurs with more than forty samples. We would encourage isotope specialists working with other types of material to undertake similar studies in order to better understand the strengths and limitations of stable isotope data.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stable isotopes
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sample size
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ancient diet
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/00438243.2013.820646
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 17/01/2014 Vol 45 .No. 3 pages 373-387   CC1WOR 21/11/2022 SP18122 21/11/2022 Journal Article For Inhouse use only