Literature DB >> 17552474

Graphing within-subjects confidence intervals using SPSS and S-Plus.

Daniel B Wright1.   

Abstract

Within-subjects confidence intervals are often appropriate to report and to display. Loftus and Masson (1994) have reported methods to calculate these, and their use is becoming common. In the present article, procedures for calculating within-subjects confidence intervals in SPSS and S-Plus are presented (an R version is on the accompanying Web site). The procedure in S-Plus allows the user to report the bias corrected and adjusted bootstrap confidence intervals as well as the standard confidence intervals based on traditional methods. The presented code can be easily altered to fit the individual user's needs.

Mesh:

Year:  2007        PMID: 17552474     DOI: 10.3758/bf03192846

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  3 in total

1.  Object detection in the ring scotoma of a monocular bioptic telescope.

Authors:  Amy L Doherty; Alex R Bowers; Gang Luo; Eli Peli
Journal:  Arch Ophthalmol       Date:  2011-05

2.  A balancing act: physical balance, through arousal, influences size perception.

Authors:  Michael N Geuss; Jeanine K Stefanucci; Justin de Benedictis-Kessner; Nicholas R Stevens
Journal:  Atten Percept Psychophys       Date:  2010-10       Impact factor: 2.199

3.  Attention to the Color of a Moving Stimulus Modulates Motion-Signal Processing in Macaque Area MT: Evidence for a Unified Attentional System.

Authors:  Steffen Katzner; Laura Busse; Stefan Treue
Journal:  Front Syst Neurosci       Date:  2009-10-30
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.