The Chi-Square Test

Franke, Todd; Ho, Tammy Szu-Yu; Christie, Christina A.

doi:10.1177/1098214011426594

Cited by 280 publications

(89 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It must be noted that the Pearson chi square test used in this analysis to analyze the relationship between the categorical variables (HBM constructs, and sociodemographics) on the dependent variables—HIV testing—is the most suited test especially when the variables are categorical as in the present study. [ 17 ]…”

Section: Data and Statistical Analysesmentioning

confidence: 99%

Determinants of Voluntary HIV/AIDS Counseling and Testing among Community College Students in the United States

2017

View full text Add to dashboard Cite

Background:Human Immunodeficiency Virus (HIV) testing remains the best public health preventive strategy in the fight against HIV/AIDS. We assessed the factors that determined voluntary counseling and screening/testing for HIV among college students.Methods:In this cross-sectional study, a purposeful sample of 189 college students was analyzed using three health belief model (HBM) variables as the theoretical framework.Results:All the HBM variables were positively associated with intention to test for HIV, and with perceived benefits (p = 0.023) having the strongest association.Conclusion and Global Health Implications:The results of this study underscore the important factors that predict intention to screen for HIV among college students. Understanding the factors that influence intention for HIV testing is useful in formulating public health policies and in the design of programs and interventions aimed at increasing the number of people who get tested for HIV.

show abstract

Section: Data and Statistical Analysesmentioning

confidence: 99%

Determinants of Voluntary HIV/AIDS Counseling and Testing among Community College Students in the United States

2017

View full text Add to dashboard Cite

show abstract

“…To examine the relationship between the level of participation in surgical audit and influence of feedback or assessment on clinical practice, a chi-square analysis was conducted [15]. The chi-squared test was appropriate for this study as the data met the assumption that the expected frequency of any cell was at least five.…”

Section: Methodsmentioning

confidence: 99%

How participation in surgical mortality audit impacts surgical practice

et al. 2017

View full text Add to dashboard Cite

BackgroundSurgical mortality audit is an important tool for quality assurance and professional development but little is known about the impact of such activity on professional practice at the individual surgeon level. This paper reports the findings of a survey conducted with a self-selected cohort of surgeons in Queensland, Australia, on their experience of participating in the audit and its impact on their professional practice, as well as implications for hospital systems.MethodsThe study used a descriptive cross-sectional survey design. All surgeons registered in Queensland in 2015 (n = 919) were invited to complete an anonymous online questionnaire between September and October 2015. 184 surgeons completed and returned the questionnaire at a response rate of 20%.ResultsThirty-nine percent of the participants reported that involvement in the audit process affected their clinical practice. This was particularly the case for surgeons whose participation included being an assessor. Thirteen percent of the participants had perceived improvement to hospital practices or advancement in patient care and safety as a result of audit recommendations. Analysis of the open-ended responses suggested the audit experience had led surgeons to become more cautious, reflective in action and with increased confidence in best practice, and recognise the importance of effective communication and clear documentation.ConclusionsThis is the first study to examine the impact of participation in a mortality audit process on the professional practice of surgeons. The findings offer evidence for surgical mortality audit as an effective strategy for continuous professional development and for improving patient safety initiatives.

show abstract

“…Di samping itu, penulis juga menggunakan teknik analisis Chi-Square (X 2 ) yang digunakan untuk menguji signifikansi statistik faktor-faktor selain kinerja layanan yang memengaruhi kepuasan pelanggan. X 2 merupakan teknik yang paling banyak digunakan untuk menguji ada tidaknya hubungan atau perbedaan di antara variabel kategorik (Franke, Ho, & Christie, 2012).…”

Section: Determinan Dari Kepuasan Pelanggan Terhadap Layanan Telekomuunclassified

Faktor-Faktor yang Memengaruhi Kepuasan Pelanggan terhadap Layanan Pitalebar Bergerak [Determinants of Customer Satisfaction against Mobile Broadband Service]

Ariansyah¹

2017

bul. pos. dan telekomun.

View full text Add to dashboard Cite

The growth rate of cellular subscribers is predicted to slow down. Service providers are required to be able to innovate and develop appropriate strategies to survive. Data services nowadays have become the mainstay of service providers to capture new customers as well as to retain the old ones. This study aims to explore related factors affecting consumer satisfaction of broadband services on mobile cellular networks in Indonesia. The findings of this study are expected to be used as a consideration in devising strategies to improve customer loyalty. Data collection is carried out through a survey. The analysis consists of descriptive statistics, Chi-Square, and Multinomial Logistic Regression. The results shows that two demographic factors (occupation and monthly income), two device attributes (device type and brand), the selection of service providers, and the activities of the use of data services significantly effect on customer satisfaction. In relation to technical and non-technical performance, the results show that the quota conformity, the ability of officers in solving the problem, and data packet remaining notice have significant level of 0.05. In addition, there are two parameters that significantly affect customer satisfaction toward mobile broadband service at the level of 0.1.

show abstract

The Chi-Square Test

Cited by 280 publications

References 5 publications

Determinants of Voluntary HIV/AIDS Counseling and Testing among Community College Students in the United States

Determinants of Voluntary HIV/AIDS Counseling and Testing among Community College Students in the United States

How participation in surgical mortality audit impacts surgical practice

Faktor-Faktor yang Memengaruhi Kepuasan Pelanggan terhadap Layanan Pitalebar Bergerak [Determinants of Customer Satisfaction against Mobile Broadband Service]

Contact Info

Product

Resources

About