Literature DB >> 21226874

Testing and verifying nursing theory by confirmatory factor analysis.

Maria Kääriäinen1, Outi Kanste, Satu Elo, Tarja Pölkki, Jouko Miettunen, Helvi Kyngäs.   

Abstract

AIM: This paper presents a discussion of the use of confirmatory factor analysis to test nursing theory.
BACKGROUND: Theory testing is an important phase in nursing theory development. Testing of theory is intended to give more information about concepts and their usefulness in nursing practice. Confirmatory factor analysis is commonly used in instrument development in nursing science studies, but also in theory testing. However, there has been little discussion of its use in theory testing in nursing science research. DATA SOURCES: Multidisciplinary methodological and research publications from 1990 to 2009 were used. DISCUSSION: The aim of confirmatory factor analysis is to test nursing theory that has already been established, i.e. researchers have an a priori hypothesis based on theoretical knowledge or empirical indications. Analysis is represented as three phases: preparation, model testing and reporting the results. Preparation involves data screening and preliminary analyses. Model testing is divided into model specification, model identification, model estimation, model evaluation and model modification. The results are reported with standardized regression coefficients of the items related to the latent variables, squared multiple correlations (R²) related to error terms and the model's goodness of fit indexes. Implications for nursing. Testing of theory is intended to give more valid information about the concepts and their usefulness in nursing practice.
CONCLUSION: Confirmatory factor analysis is a good method to test the structure of theory, for example to test the concepts built by concept synthesis or analysis. Tested theories are needed to develop nursing science itself.
© 2011 The Authors. Journal of Advanced Nursing © 2011 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2011        PMID: 21226874     DOI: 10.1111/j.1365-2648.2010.05561.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  17 in total

1.  Factors influencing COVID-19 vaccination intention among overseas and domestic Chinese university students: a cross-sectional survey.

Authors:  Hanqian Wang; Xudong Zhou; Tianyu Jiang; Xiaomin Wang; Jingjing Lu; Jinlin Li
Journal:  Hum Vaccin Immunother       Date:  2021-10-29       Impact factor: 3.452

2.  Peplau's Theory of Interpersonal Relations: An Alternate Factor Structure for Patient Experience Data?

Authors:  Thomas A Hagerty; William Samuels; Andrea Norcini-Pala; Eileen Gigliotti
Journal:  Nurs Sci Q       Date:  2017-04       Impact factor: 0.883

3.  Acute Coronary Syndrome Symptom Clusters: Illustration of Results Using Multiple Statistical Methods.

Authors:  Catherine J Ryan; Karen M Vuckovic; Lorna Finnegan; Chang G Park; Lani Zimmerman; Bunny Pozehl; Paula Schulz; Susan Barnason; Holli A DeVon
Journal:  West J Nurs Res       Date:  2019-01-22       Impact factor: 1.967

4.  Understanding the Diffusion of Theoretical Knowledge in Nursing: A Citation Analysis of Meleis's Transition Theory.

Authors:  Kemal Yayla
Journal:  Florence Nightingale Hemsire Derg       Date:  2019-10-01

5.  Developing and testing a middle-range theory of the well-being supportive physical environment of home-dwelling elderly.

Authors:  Satu Elo; Maria Kääriäinen; Arja Isola; Helvi Kyngäs
Journal:  ScientificWorldJournal       Date:  2013-05-13

6.  Quality of life of older people in nursing homes in China-evaluation and application of the Chinese version of the life satisfaction questionnaire.

Authors:  Yan Lou; Lijuan Xu; Marianne Carlsson; Xuefen Lan; Maria Engström
Journal:  BMC Geriatr       Date:  2022-04-15       Impact factor: 4.070

7.  Developing an instrument to self-evaluate the Discharge Planning of Ward Nurses.

Authors:  Shima Sakai; Noriko Yamamoto-Mitani; Yukari Takai; Hiroki Fukahori; Yasuko Ogata
Journal:  Nurs Open       Date:  2015-09-21

8.  A questionnaire measuring staff perceptions of Lean adoption in healthcare: development and psychometric testing.

Authors:  Monica Kaltenbrunner; Lars Bengtsson; Svend Erik Mathiassen; Maria Engström
Journal:  BMC Health Serv Res       Date:  2017-03-24       Impact factor: 2.655

9.  Using confirmatory factor analysis to explore associated factors of intimate partner violence in a sample of Chinese rural women: a cross-sectional study.

Authors:  Fengsu Hou; Catherine Cerulli; Marsha N Wittink; Eric D Caine; Peiyuan Qiu
Journal:  BMJ Open       Date:  2018-02-02       Impact factor: 2.692

10.  Psychometric testing of a short-form questionnaire for the measurement of health experiences among people with musculoskeletal disorders undergoing multimodal rehabilitation.

Authors:  Birgitta Wiitavaara; Dag Rissén; Hans Högberg; Annika Nilsson
Journal:  BMJ Open       Date:  2019-05-19       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.