Evidence map›Paper›PMID 30538926›Full record

ArticleBehavior analysis in practice2018

Using Microsoft Excel® to Build a Customized Partial-Interval Data Collection System.

Cody A Morris, Neil Deochand, Stephanie M Peterson

Abstract read
In one paragraph

Article in Behavior analysis in practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cody A MorrisDepartment of Psychology, Western Michigan University, 3700 Wood Hall, Kalamazoo, MI 49008 USA.ORCID 0000-0001-6149-2289
Neil DeochandDepartment of Psychology, Western Michigan University, 3700 Wood Hall, Kalamazoo, MI 49008 USA.
Stephanie M PetersonDepartment of Psychology, Western Michigan University, 3700 Wood Hall, Kalamazoo, MI 49008 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using data to inform treatment decisions is a hallmark of behavior analysis. However, collecting the type of data that behavior analysts often require can be a labor-intensive and time-consuming task. Electronic data collection systems have been identified as a tool to alleviate some of the issues related to data collection, but many obstacles still exist. Current limitations of electronic data collection systems include cost, adaptability, ease of use, and compliance with privacy and security guidelines. The purpose of this article is to offer practitioners an alternative to buying an electronic data collection system by providing a task analysis on how to build customized electronic data collection systems using Microsoft Excel®. This task analysis is written for individuals with limited or no experience working with Excel® but may also be of utility to individuals fluent in Excel®. This task analysis is organized into three sections: (a) creating a basic electronic data collection table with dropdown menus and autofill features, (b) creating a timestamp for all data entered, and (c) creating automatically graphing displays of data.

Indexed as

Data collection integrityData collection timelinesElectronic data collectionExcel®

Identifiers

PMID30538926
PMCPMC6269379

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.