Evidence map›Paper›PMID 27920348›Full record

ArticleWestern journal of nursing research2018

Confirmatory Factor Analysis Alternative: Free, Accessible CBID Software.

Marjorie Bott, Alex G Karanevich, Lili Garrard, Larry R Price, Dinesh Pal Mudaranthakam, Byron Gajewski

Abstract read
In one paragraph

Article in Western journal of nursing research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

6 authors.

Marjorie Bott1 The University of Kansas Medical Center, Kansas City, KS, USA.
Alex G Karanevich1 The University of Kansas Medical Center, Kansas City, KS, USA.
Lili Garrard2 U.S. Food and Drug Administration, Silver Spring, MD, USA.
Larry R Price3 Texas State University, San Marcos, TX, USA.
Dinesh Pal Mudaranthakam1 The University of Kansas Medical Center, Kansas City, KS, USA.
Byron Gajewski1 The University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
A Novel Method for Expediting the Development of Patient Reported Outcome MeasuresR03NR013236 · NINR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GAJEWSKI, BYRON J. · 2014 to 2015
$149k
NCATS NIH HHS UL1 TR000001NINR NIH HHS R03 NR013236
6 · The paper itself

Abstract

New software that performs Classical and Bayesian Instrument Development (CBID) is reported that seamlessly integrates expert (content validity) and participant data (construct validity) to produce entire reliability estimates with smaller sample requirements. The free CBID software can be accessed through a website and used by clinical investigators in new instrument development. Demonstrations are presented of the three approaches using the CBID software: (a) traditional confirmatory factor analysis (CFA), (b) Bayesian CFA using flat uninformative prior, and (c) Bayesian CFA using content expert data (informative prior). Outcomes of usability testing demonstrate the need to make the user-friendly, free CBID software available to interdisciplinary researchers. CBID has the potential to be a new and expeditious method for instrument development, adding to our current measurement toolbox. This allows for the development of new instruments for measuring determinants of health in smaller diverse populations or populations of rare diseases.

Indexed as

Factor Analysis, StatisticalSoftware DesignBayes TheoremHumansReproducibility of ResultsSoftwareSoftware ValidationBayesian methodsfree softwareinstrument development methods

Identifiers

PMID27920348
PMCPMC5453854

What OpenQuestion holds

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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.