A graphical method to aid the sequential analysis of observational data

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A graphical method to aid the sequential analysis of observational data. / Hall, Scott; Oliver, Chris.

In: Behavior Research Methods Instruments and Computers, Vol. 29, No. 4, 01.01.1997, p. 563-573.

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@article{d4d2ff86d99e434cb289a8f43910db98,
title = "A graphical method to aid the sequential analysis of observational data",
abstract = "In this paper, two methods of sequential analysis are applied to hypothetical observational data. The first method employs the conventional {"}conditional probability{"} approach, illustrated using the GSEQ program (Bakeman & Quera, 1995). In order to overcome some of the difficulties associated with the conditional probability approach, the second method employs a new {"}normalized and pooled{"} approach. Essentially, by normalizing periods of time preceding, during, and following each occurrence of a nominated {"}given{"} behavior, the proportion of time units devoted to a {"}target{"} behavior can be estimated and then pooled across all occurrences of the given behavior. A summary diagram representing the likelihood that the target behavior precedes, occurs concurrently with, and follows the given behavior can then be constructed. Elements of this summary diagram can also be quantified. Given the graphical nature of the output, and its ease of use, the normalized and pooled approach may help to promote the use of sequential analysis in applied settings.",
author = "Scott Hall and Chris Oliver",
year = "1997",
month = jan,
day = "1",
doi = "10.3758/BF03210609",
language = "English",
volume = "29",
pages = "563--573",
journal = "Behavior Research Methods, Instruments, and Computers",
issn = "0743-3808",
publisher = "Psychonomic Society",
number = "4",

}

RIS

TY - JOUR

T1 - A graphical method to aid the sequential analysis of observational data

AU - Hall, Scott

AU - Oliver, Chris

PY - 1997/1/1

Y1 - 1997/1/1

N2 - In this paper, two methods of sequential analysis are applied to hypothetical observational data. The first method employs the conventional "conditional probability" approach, illustrated using the GSEQ program (Bakeman & Quera, 1995). In order to overcome some of the difficulties associated with the conditional probability approach, the second method employs a new "normalized and pooled" approach. Essentially, by normalizing periods of time preceding, during, and following each occurrence of a nominated "given" behavior, the proportion of time units devoted to a "target" behavior can be estimated and then pooled across all occurrences of the given behavior. A summary diagram representing the likelihood that the target behavior precedes, occurs concurrently with, and follows the given behavior can then be constructed. Elements of this summary diagram can also be quantified. Given the graphical nature of the output, and its ease of use, the normalized and pooled approach may help to promote the use of sequential analysis in applied settings.

AB - In this paper, two methods of sequential analysis are applied to hypothetical observational data. The first method employs the conventional "conditional probability" approach, illustrated using the GSEQ program (Bakeman & Quera, 1995). In order to overcome some of the difficulties associated with the conditional probability approach, the second method employs a new "normalized and pooled" approach. Essentially, by normalizing periods of time preceding, during, and following each occurrence of a nominated "given" behavior, the proportion of time units devoted to a "target" behavior can be estimated and then pooled across all occurrences of the given behavior. A summary diagram representing the likelihood that the target behavior precedes, occurs concurrently with, and follows the given behavior can then be constructed. Elements of this summary diagram can also be quantified. Given the graphical nature of the output, and its ease of use, the normalized and pooled approach may help to promote the use of sequential analysis in applied settings.

UR - http://www.scopus.com/inward/record.url?scp=0013594895&partnerID=8YFLogxK

U2 - 10.3758/BF03210609

DO - 10.3758/BF03210609

M3 - Article

AN - SCOPUS:0013594895

VL - 29

SP - 563

EP - 573

JO - Behavior Research Methods, Instruments, and Computers

JF - Behavior Research Methods, Instruments, and Computers

SN - 0743-3808

IS - 4

ER -