Skip to main content
Erschienen in:

Open Access 01.12.2022 | Research

Psychometric properties and latent profile analysis of the Nursing Brand Image Scale: a methodological study in the Chinese context

verfasst von: Lu Zhou, Zhao Ni, Judi Allyn Godsey, Khunanan Sukpasjaroen, YuMing Wu, Gao Liu, Thitinan Chankoson, Robert Kallmeyer, EnLi Cai

Erschienen in: BMC Nursing | Ausgabe 1/2022

Abstract

Aims

To translate the U.S. version of the Nursing Brand Image Scale to Chinese (NBIS-C) and evaluate its psychometric properties when administered to a national sample of Chinese nurses, and identify nursing brand image profiles in Chinese nurses.

Design

A cross-sectional study was conducted to validate the NBIS-C among nurses in China.

Methods

The psychometric properties of the NBIS-C were tested in accordance with the COSMIN checklist. The reliability, validity, and responsiveness of the 42-item NBIS-C were examined in a national sample of 759 nurses recruited from 29 Chinese provinces. Latent Profile Analyses (LPA) were conducted to reveal nurses’ perceptions of the brand image of nursing.

Results

Results of this study demonstrated acceptable validity (content validity, structural validity, and construct validity), reliability (internal consistency and test-retest reliability), adequate responsiveness, and no floor/ceiling effect of the NBIS-C. LPA yielded five subgroups: Integrated, Traditional, Subordinate, Creative and Leader.

Conclusion

The psychometric properties of the NBIS-C are suitable for assessing the image of nursing among Chinese nurses. Future studies with a larger, more diverse sample are recommended. Although the role of nurses in China has evolved, nurses in general have failed to communicate a consistent, positive, and accurate brand image for the nursing profession.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12912-022-00975-2.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

The importance of nurses has not been well recognized by the public despite their essential contributions to human health [1]. Traditional stereotypical images of nurses as angels of mercy or subordinates of physicians with minimal education undermine the public image of nurses, reduce the allocation of resources to nursing research, and decrease nurses’ quality of life (Godsey JA, Kallmeyer R, Hayes T: Public Validation of Brand Image of Nursing Scales: Implications for Global Health, unpublished). The stereotypical image of nurses can be commonly seen in the mass media, including magazines, television, and the Internet. For example, prior to the outbreak of the COVID-19 pandemic, nurses in China were often characterized by the media as a group of caregivers who received little education and had no expertise, and therefore, were not highly valued by the Chinese society [2]. The stereotypical images were largely due to the public’s perception that nurses’ work was equivalent to caring and serving others, which did not require expertise or extensive education [3].
After the outbreak of the COVID-19 pandemic, the image of nurses began to be evolved into tireless healthcare providers fighting on the frontline against a pandemic. This heroic view of nurses became a common report in the media and had greatly influenced the previous stereotypical perceptions of nurses [4], thus offering a booster to nurses’ virtuous image [5]. However, the benefits of this media trope on the virtuous image of nurses are projected to be temporary unless an accurate and consistent brand image of the profession is promoted and managed [6]. Highlighting the most virtuous features of nurses but ignoring the intensive professional and intellectual requirements of nurses on their education and training is not only a disservice to the brand image of nursing, but also reducing the attractiveness of the nursing profession to future nurses [7].
Branding is a marketing tool that is used to communicate core values, identify products and services, and positively influence public perception [8]. Intentional efforts to identify and strengthen the nursing brand image are currently underway in the U.S., with the hope to stimulate professional cohesiveness and consistency, enhance the profession's image, and eliminate role ambiguity [9]. The process of effective branding of the nursing profession could result in the conveyance of an image that is relevant, positive, accurate, distinctive, and research based [9]. The brand image could be most effectively communicated through consistent messages and actions over time [10]. A consistent message that highlights the roles and contributions of nurse leaders, scientists, and practitioners is not only desirable for the nursing profession but could also serve as a foundation for institutional strategic plans and college curricula to support the advancement and influence of nurses [9].
A review of literature revealed 11 original scales developed between 1991 and 2021 to measure the image of nursing. Given the paucity of available instruments in the literature, articles that included measures of professional self-concept (or “how nurses feel about themselves as nurses”) were retained [11]. The final list of scales from this review included The Porter Nursing Image Scale (PNIS) [12], the Nursing Image Scale (NIS) [13], the Nursing Attitudes/image Questionnaire (NAQ/NIQ) [14], the BELgian Professional Self-IMAGE Instrument (BELIMAGE) [15], the Professional Self-Concept of Nurses Instrument (PSCNI) [16], the Nurses Self-Concept Instrument (NSCI) [17], the Nurses Self-Concept Questionnaire (NSCQ) [18], the Nurse Self-Description Form (NSDF) [19], the Nursing Brand Image Scale (NBIS), the Nursing's Current Brand Position Scale (NCPBS) and Nursing's Desired Brand Position Scale (NDBPS) [9].
Among all scales examined in this review, the NBIS was the only instrument that incorporated the concept of the brand image of nursing and measured a more comprehensive nursing image. The internal consistency and reliability of the scale were good to excellent in a sample of 286 American Registered Nurses [9].
The importance of the nursing profession has often been overlooked due to inaccurate societal views and outdated stereotypes that negatively influenced nurses’ images. To correct the inaccurate views and stereotypes, nurses and relevant practitioners need to understand the current nursing brand image. However, empirical instruments that measure the comprehensive brand image of nursing are sparse in the literature. And psychometric properties of NBIS Chinese version remain unclear. Moreover, no study has thus far targeted latent profile analysis (LPA) on the brand nursing image. The aims of this study were to translate the U.S. version of the NBIS into Chinese (following the process of the Consensus-Based Standards for the Selection of Health Measurement Instruments [COSMIN] checklist) [20, 21], to evaluate its psychometric properties when administered to a national sample of Chinese nurses, and to identify nursing brand image profiles in Chinese nurses.

Methods

Study design and setting

This cross-sectional and methodological study was conducted between July 1, 2021, and November 1, 2021. A non-probability sample of Registered Nurses was recruited from four university-affiliated hospitals located in Southwest China. Snowball sampling was also used to recruit Registered Nurses from other parts of China, covering 29 provinces.

Participants

Participants were Registered Nurses who had been working in China providing nursing care for greater than 6 months. Interested participants were screened through an online questionnaire and eligible participants provided electronic informed consent prior to accessing the study instruments. A total of 985 nurses completed the screening questionnaire, but those who did not fully complete the questionnaire (n = 26) or did not meet the identity verification requirement (n = 200) were excluded, resulting in the final analyses of 759 nurses. To ensure reliability and validity, the sample size was estimated based on the recommended 5 to 10 subjects per item of the instrument (the NBIS-C is composed of 42 items) [22]. The sample size of confirmatory factorial analysis (CFA) was estimated based on the G Power package [23]. The close fit and not-close fit were tested in G Power, and the power exceeded 0.99 in both instances. The sample size was between 109 ~ 150 [24]. Thus, a sample of 420 for EFA and 339 for CFA was determined to have adequate power to detect effects.

Instruments

The Nursing Brand Image Scale (NBIS) was specifically developed to measure nurses’ perceptions of their brand image [9]. The NBIS consists of seven image domains: Strong Interpersonal Skills (4 items), Expert Health-Care Providers and Partners (3 items), Valued By Society (2 items), Qualified Caregivers (6 items), Influential Leaders/Interprofessional Partners (13 items), Qualified for Advanced Nursing Practice (7 items), and Lack Authority/ Professional Identity (7 items). Participants were asked to rate (on a 10-point Likert scale) their level of agreement, and later ranked (top three) each of the 42 items descriptive of the nursing profession. The Chinese version of the NBIS was developed with the permission from the original author, Judi Allyn Godsey. The survey included a socio-demographic questionnaire and one additional measure for comparison of constructs similar to the NBIS: The Nurses Self-Concept Instrument [17]. The Nurses Self-Concept Instrument includes four dimensions and 14 items which have been properly cross-culturally adapted for use in Chinese nurses.

Translation and cross-cultural adaptation of the NBIS nurse version

According to COSMIN guidelines [20], a Chinese adaptation was carried out, which involves adaptation, not just translation.

Translation (from English to Chinese)

Two Chinese bilingual scholars independently translated the original English version of the NBIS; one of the translators (T1) was familiar with the study’s concepts and the nursing environment, the other (T2) was with a medical background.

Synthesis

A synthesis of the two translations was conducted, and a consensus was reached to develop a T-12 version.

Back translation (from Chinese to English)

Working from the T-12 version of the scale, two English mother-tongue translators who were with psychological backgrounds carried out the back translation and produced B1 and B2 versions.

Expert committee review

After the translations, an expert committee reviewed pre-final version with the three translators, the principal investigator (LZ) and the two co-authors (ZN, JG). The role was to consolidate all the translated versions considering four aspects: (1) semantic equivalence, (2) idiomatic equivalence, (3) experiential equivalence, and (4) conceptual equivalence.

Pretesting

Twenty undergraduate nursing students were recruited to examine the comprehensiveness, comprehensibility and time to complete the NBIS (approximately 10–15 min). The linguistic and semantic congruence, cultural relevancy, and conceptual equivalences of the Chinese version was confirmed by original NBIS developers and all translators.

Psychometric analyses

Content validity, floor/ceiling effect, structural validity, construct validity, internal consistency, test–retest reliability, and responsiveness were evaluated based on the COSMIN checklist [25]. Each of these analyses is described in the paragraphs below.

Content validity

Item content validity was evaluated via the item content validity index (I-CVI) [26]. Six experts were invited to score every item of the NBIS, including two professors in nursing, two clinical nursing managers, and two professors in management. Six experts were invited to rate the relevance, comprehensiveness, and comprehensibility on each item based on the COSMIN checklist with a 4-point scale [27]. Also, ten undergraduate nursing students reviewed the relevance, comprehensiveness, and comprehensibility quantitatively.

Floor/ceiling effects

Floor and ceiling effects indicate the extent to which a score is located at the bottom or top of the scale range. The commonly used 25% threshold was adopted to identify the percentage of the sample with the lowest and highest scores overall. Independent sample t-tests were conducted for high and low groups for each item of the NBIS-C [28].

Structure validity

Exploratory Factor Analysis (EFA) was analyzed using IBM SPSS Statistics 23.0. Principal component analyses were used to explore the factor structure and unidimensionality of the scale [25]. Following examination of correlation matrices, communalities, and factor loadings, oblique rotation was selected because of the hypothesis of correlations among factors. Confirmatory Factor Analysis (CFA) was performed using the maximum likelihood (ML) method [29]. The Bollen–Stine bootstrap procedure was used to adjust model fit and parameter estimates to accommodate for the lack of multivariate normality [30, 31]. Multi-group CFA was used to test gender differences in the model to ensure the variable was not driving effects (p > 0.05, △CFI < 0.01, or △NNFI < 0.05 indicated no significant differences between the two gender groups).

Construct validity

Construct validity of the NBIS-C was assessed using factor structure, convergent validity and discriminant validity. The convergent validity was estimated by the Average Variance Extracted (AVE) and Composite Reliability (CR). Values of AVE ≥ 0.50 and CR ≥ 0.70 were considered adequate [32, 33]. Discriminant validity assesses whether the items in a factor are strongly correlated with another factor [32]. The seven‐factor model was computed by correlational analysis and was considered adequate if Correlation Coefficient < Sqrt (AVE).

Reliability

Reliability was assessed by internal consistency and stability (test–retest). The internal consistency was assessed using Cronbach's alpha coefficient (α ≥ 0.80) and CR > 0.70 [32]. Total omega was estimated for the overall scale and seven subscales. Total omega values above 0.70 indicate an acceptable level of composite reliability [34]. The NBIS-C was re-tested after 14 days. This criterion was assessed using the Intra-Group Correlation Coefficient (ICC ≥ 0.70) [35].

Responsiveness

The Nurses Self-Concept Instrument was used as the standard to compare the validity of the NBIS. Spearman correlation analysis was used for criterion validity and inter-correlations between the items, the factors and the total scale.

Latent profile analysis

Data analysis was implemented in R 4.1.2 (R Foundation). Latent Profile Analysis (LPA) was performed on all participants with the 7 dimensions of the NBIS-C via tidy LPA-package [36] to identify image classes. The optimal number of classes was determined by Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) values. Analyses started with a single class that was compared to six classes. The model fit was assessed until the optimal number of classes was found using the Bootstrap Likelihood Ratio Test (BLRT). Classification performance of the solution was estimated by discriminant analysis and k = tenfold cross-validation based on Gaussian finite mixture modeling [36].

Ethical considerations

All procedures performed in this study involving human participants were in accordance with the ethical standards of Rajamangala University of Technology Tawan-Ok Ethics Committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. All participants provided their informed consent before taking the survey in the study.

Results

Descriptive statistics

Participants in this study included 759 Registered Nurses from 29 provinces residing in China. Demographic information is summarized in Table 1.
Table 1
Socio-demographic data (n = 759)
Item
n
%
Gender
 Female
634
83.52
 Male
108
14.17
 Non-Binary/Third Gender
17
2.30
Race
 Han
622
81.99
 Minority
137
18.01
Age
 Under 30
407
53.64
 31–40
253
33.33
 41–50
55
7.28
 51–60
38
4.98
 61–70
6
.77
 Over 70
0
.00
Nursing Educational Level
 LPN/LVN
52
6.90
 Diploma or Associate Degree in Nursing (ADN)
172
22.61
 Baccalaureate Degree in Nursing (BSN)
427
56.32
 Master Degree in Nursing—academic (MSN)
41
5.36
 Master Degree in Nursing—practice (MSN)
55
7.28
 Doctorate of Nursing Practice (DNP)
6
.77
 Doctor of Philosophy in Nursing (Ph.D.)
6
.77
Educational Level
 Technical Diploma (LPN/LVN)
32
4.21
 Diploma or Associate Degree
180
23.75
 Baccalaureate Degree
433
57.09
 Masters Degree
64
8.43
 Practice/Professional Doctorate (DNP, JD, DBA, etc.)
15
1.92
 Research Doctorate (Ph.D.)
20
2.68
 Other
15
1.92
Average Household Income
 0-2499RMB
44
5.75
 2500-4999RMB
134
17.62
 5000-7499RMB
174
22.99
 7500-9999RMB
76
9.96
 10,000-12499RMB
87
11.49
 12,500-14999RMB
49
6.51
 15,000-17499RMB
26
3.45
 17,500-19999RMB
15
1.92
 Over 20000RMB
41
5.36
 Other
113
14.94
Primary Role In Nursing
 Nursing Researchers
73
9.58
 Clinical First-Line Nurse
480
63.22
 Nursing Clinic Nurse
96
12.64
 Nursing Educator
55
7.28
 Nursing Manager
44
5.75
 Nursing Policy Maker
12
1.53
Geographic Location
 Yunnan
265
34.87
 Sichuan
73
9.58
 Guangdong
58
7.66
 Chongqing
47
6.13
 Hebei
29
3.83
 Hubei
23
3.07
 Henan
23
3.07
 Shandong
23
3.07
 Jiangsu
23
3.07
 Hunan
20
2.68
 Zhejiang
17
2.30
 Liaoning
17
2.30
 Jiangxi
17
2.30
 Jilin
17
2.30
 Anhui
15
1.92
 Guangxi
12
1.53
 Shaanxi
9
1.15
 Hainan
9
1.15
 Fujian
9
1.15
 Shanghai
9
1.15
 Tibet
9
1.15
 Beijing
6
.77
 Shanxi
6
.77
 Guizhou
6
.77
 Heilongjiang
6
.77
 Inner Mongolia
3
.38
 Gansu
3
.38
 Tianjin
3
.38
 Ningxia
3
.38

Psychometric properties

Content validity

The item-level content validity index (I-CVI) was 0.86 ~ 1.00, and the scale-level content validity index (S-CVI) was 0.933. None of the ten nursing students reported confusion or non-comprehension of the items on the NBIS-C.

Floor/ceiling effects

Statistically significant differences were found between the high and low groups for all entries (p < 0.05, t-value > 3), as detailed in Supplementary Appendix 1.

Structural validity

The principal component method of the NBIS-C showed the Kaiser–Meyer–Olkin (KMO) was 0.906 and Bartlett’s Spherical Test was statistically significant (χ2 = 6492.449, df = 0.861, p = 0.000). Oblique rotation resulted in a seven-factor, 42-item solution that explained 63.66 percent of the variance. Results of exploratory principal component analysis and cross-cultural translation and adaptation are detailed in Table 2.
Table 2
Rotated Component Matrix for the NBIS-C (n = 420)
 
Dimension 1
Dimension 2
Dimension 3
Dimension 4
Dimension 5
Dimension 6
Dimension 7
The Chinese version
31.94%
9.72%
7.45%
4.68%
3.82%
3.26%
2.76%
Advanced Nursing Practice
高级护理实践能力
Reliable/Dependable
AN31
.844
      
可靠/可信
Health Care Providers
AN15
.844
      
卫生保健提供者a
Extensive Training
AN11
.830
      
广泛的培训
Honest/Integrity
AN19
.815
      
诚实/正直
Ethical
AN12
.770
      
道德的
Holistic Approach
AN18
.723
      
整体观
Advanced Degrees
AN17
.612
      
高学历
Influential Leaders
领导力
Autonomous
IL2
 
.805
     
自主性
Leaders
IL25
 
.626
     
领导者
Critical Thinkers
IL7
 
.594
     
批判性思考者
Powerful/Decision Makers
IL29
 
.583
     
强大/决策者
Intuitive/Thoughtful
IL23
 
.578
     
预判/深思熟虑
Influential
IL21
 
.531
     
有影响力的
Qualified Caregivers
合格的照护者
Spends Most Time With Patients
QC34
  
.851
    
大部分时间与患者在一起
Trusted
QC40
  
.815
    
值得信赖
Technological
QC39
  
.809
    
技术性的
Skilled
QC33
  
.774
    
技能
Patient Centered/Focused
QC27
  
.643
    
以患者为中心/专注于患者
Talented
QC36
  
.534
    
才华横溢
Lack Authority/Professional Identity
缺乏权威/职业认同
Task Oriented
LA37
   
.784
   
以完成任务为主
Physician’s Assistant
LA28
   
.754
   
医师助理
White Cap/Uniform
LA42
   
.747
   
白帽/制服等刻板印象
Hard to identify from other healthcare workers
LA20
   
.687
   
很难从其他医疗工作者中识别
Nurturing/Mothering
LA26
   
.668
   
伺候/照料
Subservient
LA35
   
.583
   
服从
Female
LA14
   
.553
   
女性
Valued By Society/Healthcare
被社会重视b
Essential Members of Healthcare Team
VS10
    
.938
  
医疗保健团队的重要成员c
Health Experts
VS16
    
.724
  
健康专家d
Diverse Career Options
VS8
    
.675
  
多样化的职业选择
Valued by Society/Healthcare
VS41
    
.657
  
受到社会/医疗保健行业的重视
Researchers
VS32
    
.633
  
研究人员e
Teacher/Educator
VS38
    
.573
  
教师/教育工作者f
Interdisciplinary Partners
跨学科协作
Interprofessional
IP22
     
.836
 
跨学科
Professional
IP30
     
.696
 
专业的
Collaborators/ Facilitators
IP4
     
.687
 
合作者/促进者
Competent
IP6
     
.651
 
有能力的
Knowledgeable/ Intelligent
IP24
     
.615
 
知识渊博/智慧
Evidence Based Practice
IP13
     
.499
 
循证实践
Strong Interpersonal Skills
人际沟通
Empathetic
SIS9
      
.728
善解人意
Advocates
SIS1
      
.580
倡导者
Caring/Compassionate
SIS3
      
.545
关怀/富有同情心
Communicators
SIS5
      
.433
交流者
Extraction method: principal components analysis
Rotation method: oblique rotation
Rotation converged in 8 iterations
Variance explained: 63.655%
Remark:
a: Reallocated from Expert Health-Care Providers and Partners to Advanced Nursing Practice
b:Merged the dimensions of Expert Health-Care Providers and Partners and Valued By Society
c: Reallocated from Expert Health-Care Providers and Partners to Valued By Society
d: Reallocated from Expert Health-Care Providers and Partners to Valued By Society
e: Reallocated from Advanced Nursing Practice to Valued By Society
f: Reallocated from Advanced Nursing Practice to Valued By Society
Confirmatory Factor Analysis of the seven-factor model was performed on 339 valid questionnaires (Fig. 1) and demonstrated a satisfactory fit to the Chinese nurses’ sample after adjusting model fit with the Bollen–Stine bootstrap p procedure [Bollen-Stine Chi-square = 985.19, x2/df = 1.23, GFI = 0.92, CFI = 0.98, TLI = 0.98, IFI = 0.98, RMSEA = 0.03, Standardized RMR = 0.07]. The unstandardized coefficients for the CFA were detailed in Supplementary Appendix 2.
Group differences were determined using multi‐group analysis in CFA [37]. The unconstrained structural model was compared with the constrained structural model, which showed the weights, covariance, and residuals to be equal between the total sample and the male/female sub-samples (p > 0.05,△CFI = 0.000, △NNFI = 0.000 ~ -0.014). Results indicate that the measurement model achieved scalar invariance in the male and female groups. Model fit and the resulting comparisons of models are presented in Supplementary Appendix 3 and Supplementary Appendix 4 respectively.

Construct validity

The results of convergent validity were adequate except for the Influential Leaders subscale and Lack Authority/Professional Identity subscale (AVEIL = 0.479; AVELA = 0.429). The results of discriminant validity were adequate except for the Valued by Society and Advanced Nursing Practice dimensions (AVEVS > 0.692; AVEAN > 0.744). Details are shown in Table 3.
Table 3
Sqrt (AVE), correlation coefficient matrix, mean, SD, Cronbach’s a, ω, and ICC
 
CR
AVE
SIS
IL
IP
VS
AN
QC
LA
SIS
.829
.553
.744
      
IL
.845
.479
.445
.692
     
IP
.894
.597
.620
.691
.773
    
VS
.896
.593
.436
.754
.563
.770
   
AN
.907
.584
.795
.623
.769
.506
.764
  
QC
.866
.522
.693
.290
.518
.290
.629
.722
 
LA
.839
.429
.333
.299
.309
.289
.388
.474
.655
Mean
-
-
7.87
6.19
7.35
6.36
7.61
8.03
6.69
SD
-
-
1.45
1.87
1.76
1.95
1.57
1.50
1.79
Skewness
-
-
-.87
-.39
-.81
-.32
-1.03
-1.15
-.64
kurtosis
-
-
.77
-.41
.35
-.56
1.28
1.61
.23
Cronbach’s a-coefficients
-
-
.80
.84
.87
.89
.90
.86
.83
ω
-
-
.82
.84
.89
.89
.90
.86
.84
Test–retest (ICC)
-
-
.68
.76
.77
.71
.74
.72
.63
Notes: SIS Strong Interpersonal Skills, IL Influential Leaders, IP Interdisciplinary Partners, VS Valued By Society, AN Advanced Nursing Practice, QC Qualified Caregivers, LA Lack Authority/Professional Identity
ω: McDonald’s hierarchical subscales omega

Reliability

The internal consistency of all subscales of the NBIS-C was over 0.70 and the total scale was 0.94. In the 7-factor NBIS-C, all subscale omega values exceeded the threshold 0.70 [38] and the total score was 0.95. However, test–retest evaluation was not adequate for the Strong Interpersonal Skills (ICCSIS = 0.68) and Lack Authority/Professional Identity (ICCLA = 0.63) subscales. Intra-Group Correlation Coefficient of NBIS-C was 0.73. Data on reliability results are displayed in Table 3.

Responsiveness

The Spearman correlation analysis revealed that the correlation coefficient between NBIS-C and the Chinese version NSCI was 0.477 (p < 0.01). The correlation coefficients between NSCI and Strong Interpersonal Skills, Influential Leaders, Interdisciplinary Partners, Valued By Society/Healthcare, Advanced Nursing Practice, Qualified Caregivers, and Lack Authority/Professional Identity were 0.403, 0.550, 0,500, 0.417, 0.454, 0.349, and 0.264, respectively (p < 0.01). In addition, the scores between factors were positively correlated (p < 0.01).

Latent profile analysis

To better validate the model of nursing brand image and understand how nurses rate their present brand image, models containing six latent classes were estimated and compared. Table 4 presents the fit indices related to the models with an increasing number of latent classes. An improvement was demonstrated in the values of AIC, BIC, and Entropy between models with two to six latent classes. However, the result of the BLRT_p was higher compared to the model with five latent classes in the case of the six-class with a lower entropy solution. This provided some indication that the inclusion of an additional latent class did not provide significant improvement in the model fit. Therefore, a model with five latent classes was retained and selected for further analysis. The five latent classes were labeled as SubordinateCreativeLeader, Traditional and Integrated subgroups.
Table 4
Fit indices for the latent class analysis of the NBIS-C factors
Model
Classes
AIC
BIC
Entropy
prob_min
prob_max
n_min
n_max
BLRT_p
Class Probability
1
1
21,421.38
21,486.23
1
1
1
1
1
 
-
1
2
19,153.5
19,255.41
0.95
0.98
0.99
0.43
0.57
0.01
.42/.58
1
3
18,838.38
18,977.34
0.93
0.92
1
0.16
0.43
0.01
.422/.161/.471
1
4
18,464.98
18,641
0.92
0.84
0.98
0.08
0.42
0.01
.0931/.1546/.3359/.4164
1
5
18,361.15
18,574.23
0.9
0.82
0.97
0.08
0.34
0.01
.0827/.1433/.0926/.3418/.3396
1
6
18,307.42
18,557.54
0.87
0.75
0.97
0.05
0.34
0.02
.0827/.1433/.0926/.3418/.3396
AIC Akaike Information Criteria, BIC Bayesian Information Criteria, LRT Lo-Mendel-Rubin Adjusted Likelihood Ratio Test
Around 8% of nurses had low values for all positive brand nursing image domains and high values for negative domains. We identified the subgroup as the least attractive and worst brand image group. 14% percent of nurses' greatest strength is interdisciplinary awareness and advanced nursing practice competencies. In a third detected subgroup, 9% of the nurses, reported the strongest leadership influence and the highest sense of professional identity. The gap between the second and the third subgroups is the largest in the two dimensions of Influential Leaders and Lack Authority/ Professional Identity. Unfortunately, a strong fourth subset of traditional brand image emerged during the analysis. Thirty-four percent of the sample fell into this sub-type, The average score of each dimension also demonstrated that the Chinese nursing brand image is severely underestimated by nurses themselves. Compared to the US data [9]. Finally, 33% percent of Chinese nurses had high scores in all domains. The profile characteristics of the five subgroups based on the average item scores of the seven-factors of NBIS-C are illustrated in (Fig. 2a).
Participants were also invited to choose three words or phrases from NBIS-C that best describe the profession of nursing. The results demonstrated that Caring/Compassionate, Essential Members of the Healthcare Team, and Patient Centered/Focused reflected the general brand image of nursing in China, shown in (Fig. 2b).

Discussion

After the NBIS was translated into Chinese, its validity, reliability, and responsiveness were tested based on the COSMIN checklist in a national sample of Chinese Registered Nurses [20]. Results of this study demonstrated acceptable validity (Content validity, structural validity, and construct validity), reliability (internal consistency and test–retest reliability), responsiveness, and no floor/ceiling effect. In the study, we found five categories of the self-perceived brand image among Chinese nurses: Subordinate (category 1), Innovative (category 2), Leader (category 3), Traditional (category 4), and Integrated (category 5).
The reliability of the NBIS-C was found to be acceptable. The results of internal consistency evaluation showed the items of the instrument to be consistent between themselves and predictive of the same construct. Going further than Cronbach’s alpha by testing all McDonald’s omega values, the global results and McDonald’s hierarchical omega subscales confirmed the reliability. In addition, CR values indicated adequate reliability for all subscales. The test–retest stability evaluation showed moderate indices for the Strong Interpersonal Skills and Lack Authority/Professional Identity subscales. A review of the raw data revealed this was due to the variation in the advocate item in the Strong Interpersonal Skills dimension. In Chinese culture, it appears that advocates are rarely associated with interpersonal communication skills in nursing [39]. The items in the Lack Authority/Professional Identity dimension, on the other hand, are more likely to be influenced by self-perception and society [1].
The seven-factor model is different from NBIS in two factors indicated by the results in the EFA. One of the revisions is that the Influential Leaders/Interprofessional Partners subscale in the original NBIS was divided into the Influential Leaders subscale and Interdisciplinary Partners subscale in the NBIS-C. Other than the linguistic usage preference, previous studies found that Influential Leaders and Interprofessional Partners are two different constructs, although some of their features overlap [40]. The two are mutually influencing and independent of each other [41]. The Expert Health-Care Providers and Partners subscale and the items it contains were highly correlated with the dimension of being Valued by Society/Healthcare; therefore, the original NBIS was modified to merge the Expert Health-Care Providers and Partners subscale into Valued by Society/Healthcare subscale.
Overall, principal component factor analysis extracted a seven-factor model consisting of Strong Interpersonal Skills, Influential Leaders, Interdisciplinary Partners, Valued By Society/Healthcare, Advanced Nursing Practice, Qualified Caregivers, and Lack Authority/Professional Identity, which differs slightly in structure from the original study. Therefore, we confirmed the model fit the NBIS-C using confirmatory factor analysis. It is worth noting that the x2/df, CFI, TLI, SRMR and RMSEA statistics demonstrated that the seven-factor model offered an acceptable fit with the data collected, indicating that the scale has good structure validity [42, 43]. This changed structure may be more conducive to the cross-cultural adaptation of the scale [43] and enable the evaluation of different brand images in Chinese nurses. Although all items in the factor structure were retained, five items were reallocated in the NBIS-C (Table 2), as indicated by the results in both the EFA and CFA. The difference might result from Chinese cultural and social backgrounds in the development of nursing.
Although all items in the factor structure were retained, five items were reallocated in the NBIS-C (Table 2), as indicated by the results in both the EFA and CFA. The difference might result from Chinese cultural and social backgrounds in the development of nursing. The American Nurses Association (ANA) stated in 1995 that all advanced practice nurses (APN) can make independent or collaborative healthcare decisions [44]. Advanced Nursing Practice has been developed as a professional core curriculum for master's degree students in China [45]. In addition, the outbreak of severe acute respiratory syndrome (SARS) and the COVID-19 pandemic have elevated the value of nurses and demonstrated they are not only the person who gives injections and dispenses medications, but also healthcare providers (Godsey JA, Kallmeyer R, Hayes T: Public Validation of Brand Image of Nursing Scales: Implications for Global Health, unpublished). Thus, item15 (Health Care Providers) was considered by most participants to be an important component of advanced nursing practice competencies. The APN needs to assume and be competent in the roles of expert practitioner, educator, researcher, and consultant [46]. The reallocated Item 32 (Researchers) and item 38 (Teacher/Educator) demonstrated that Chinese nurses' perceptions of advanced nursing practice and their values for society/healthcare are still inconsistent [47]. Participants in this study generally corroborated the seven-factor structure of NBIS-C. Validity in the NBIS-C was found to be nearly identical to the original NBIS. To avoid a biased effect from item 8 (Diverse Career Options), future studies could rephrase the wordings in item 32 and item 38 and examine whether these two items can fall back to the original structure as proposed by the NBIS.
The convergent validity presented suitable values for most of the factors, except for the Influential Leaders subscale and the Lack Authority/Professional Identity subscale, which showed levels below those recommended AVE. Future studies might examine if these two dimensions represent two different brand images of nursing, the traditional and the new. The inconsistency in perceptions of brand image is responsible for the low convergent validity of the two subscales [48, 49]. Regarding the discriminant validity evaluation, there was interpretable identity between Valued By Society subscale and Influential Leaders subscale, as well as Strong Interpersonal Skills and Advanced Nursing Practice. A leader ‘s confidence has a positive association with social identity, and their communication skills are essential for advanced nursing practice skills [50, 51]. Generally, the convergent and discriminant validity limitations can be explained due to the high correlations present between the items of the subscales, or due to the item cross‐loadings. Another explanation for these limitations may be related to possible flaws in the scale translation process. However, the cultural adaptation process of the NBIS to Chinese was carefully conducted, and the participants did not report difficulties in understanding any item during the pretest. The factor loadings in Valued By Society subscale were also the lowest in the original scale [9].
The main novelty of the research was to generate image profiles in a large Chinese nurse sample using nontheoretical techniques. The different brand images of nursing profiles were performed via LPA to identify subgroups. The LPA revealed five well-interpretable subgroups. These findings demonstrated that the NBIS-C can clearly distinguish between different Chinese nursing brand images. In addition, despite the new and evolving roles in the contemporary nursing practice, the brand image of Chinese nurses is underestimated and inconsistent.

Strengths, limitations and implications

To our knowledge, this study is the first one to examine the validity, reliability, and responsiveness of the NBIS. Moreover, by uncovering latent subtypes of nursing brand image this study can contribute to the refinement of the NBIS Model. However, some study limitations should be acknowledged. First, the study relied on self-reported data, therefore, it was subject to response biases including social desirability effects. More cross-cultural studies are needed to verify the factor structure of the NBIS-C. Second, for the CFA estimator, robust maximum likelihood (MLR) was conducted for analysis due to the generally less biased standard error estimates and good coverage of the correlations than diagonally weighted least squares (DWLS) [52]. But, DWLS was designed specifically for ordinal data. Thus, DWLS may perform uniformly better than MLR in factor loading estimates. Third, in terms of responsiveness, this study only measured concurrent validity and predictive validity. Finally, the measurement invariance results did not test across demographic characteristics as the sample size to test measurement invariance was small. Future researchers should recruit a larger sample size of nurses from a variety of practice and non-practice settings to evaluate profiles of the brand image of nursing, and explore the differences and relationships across culture and social demography characteristics.
Nurse managers can use the NBIS-C to assess the brand image of nurses in their unique context. Various strategies could be offered to improve nursing’s brand image or to determine if certain features of nursing’s brand image might be predictors of mental health or motivation to improve clinical performance and well-being. To become more influential in the healthcare arena, nurses need to create a more attractive and sustainable brand image that helps retain and energize the current and future workforce [53, 54]. Narrowing the gap between nurses’ current and desired images could be achieved through correcting inaccurate stereotypes, eliminating role ambiguity, and stimulating the professional cohesiveness of the evolving nurse leaders.

Conclusions

NBIS-C is a valid and reliable scale that can be used to evaluate the brand image of nursing among Chinese nurses. Addressing the gap between nurses’ current and desired images could be achieved through correcting inaccurate stereotypes, eliminating role ambiguity, and stimulating the professional cohesiveness of the evolving nurse leaders.

Acknowledgements

We thank all participants and interviewers involved in our study.

Declarations

This study was performed in line with the principles of the Declaration of Helsinki and its later amendments or comparable ethical standards. All participants provided their informed consent before taking the survey in the study. Approval was granted by the Ethics Committee of Rajamangala University of Technology Tawan-ok Institutional Review.
Not applicable.

Competing interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Yt H, Jansen G, Roodbol P. The nursing profession: Public image, self-concept and professional identity A discussion paper. J Adv Nurs. 2014;70(2):295–309.CrossRef Yt H, Jansen G, Roodbol P. The nursing profession: Public image, self-concept and professional identity A discussion paper. J Adv Nurs. 2014;70(2):295–309.CrossRef
2.
Zurück zum Zitat Zhang Z, Fu W, Tian C, Zhang F, Zhao B, Mao J, Saligan LN. Professional identity of Chinese nursing students during the COVID-19 pandemic outbreak: A nation-wide cross-sectional study. Nurse Educ Pract. 2021;52:103040.PubMedCrossRef Zhang Z, Fu W, Tian C, Zhang F, Zhao B, Mao J, Saligan LN. Professional identity of Chinese nursing students during the COVID-19 pandemic outbreak: A nation-wide cross-sectional study. Nurse Educ Pract. 2021;52:103040.PubMedCrossRef
3.
Zurück zum Zitat Rezaei-Adaryani M, Salsali M, Mohammadi E. Nursing image: An evolutionary concept analysis. Contemp Nurse. 2012;43(1):81–9.PubMedCrossRef Rezaei-Adaryani M, Salsali M, Mohammadi E. Nursing image: An evolutionary concept analysis. Contemp Nurse. 2012;43(1):81–9.PubMedCrossRef
4.
Zurück zum Zitat Turale S, Nantsupawat A. Clinician mental health, nursing shortages and the COVID-19 pandemic: Crises within crises. Int Nurs Rev. 2021;68(1):12–4.PubMedPubMedCentralCrossRef Turale S, Nantsupawat A. Clinician mental health, nursing shortages and the COVID-19 pandemic: Crises within crises. Int Nurs Rev. 2021;68(1):12–4.PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Li Z, Zuo Q, Cheng J, Zhou Y, Li Y, Zhu L, Jiang X. Coronavirus disease 2019 pandemic promotes the sense of professional identity among nurses. NURS OUTLOOK. 2021;69(3):389–98.PubMedCrossRef Li Z, Zuo Q, Cheng J, Zhou Y, Li Y, Zhu L, Jiang X. Coronavirus disease 2019 pandemic promotes the sense of professional identity among nurses. NURS OUTLOOK. 2021;69(3):389–98.PubMedCrossRef
6.
10.
Zurück zum Zitat Hossler D, Bontrager B. Handbook of strategic enrollment management. Wiley; 2014. Hossler D, Bontrager B. Handbook of strategic enrollment management. Wiley; 2014.
12.
Zurück zum Zitat Porter RT, Porter MJ. Career development: Our professional responsibility. J Prof Nurs. 1991;7(4):208–12.PubMedCrossRef Porter RT, Porter MJ. Career development: Our professional responsibility. J Prof Nurs. 1991;7(4):208–12.PubMedCrossRef
13.
Zurück zum Zitat Tzeng H-M. Testing a conceptual model of the image of nursing in Taiwan. Int J Nurs Stud. 2006;43(6):755–65.PubMedCrossRef Tzeng H-M. Testing a conceptual model of the image of nursing in Taiwan. Int J Nurs Stud. 2006;43(6):755–65.PubMedCrossRef
14.
Zurück zum Zitat Toth JC, Dobratz MA, Boni MS. Attitude toward nursing of students earning a second degree and traditional baccalaureate students: are they different? Nurs Outlook. 1998;46(6):273–8.PubMedCrossRef Toth JC, Dobratz MA, Boni MS. Attitude toward nursing of students earning a second degree and traditional baccalaureate students: are they different? Nurs Outlook. 1998;46(6):273–8.PubMedCrossRef
15.
Zurück zum Zitat Siebens K, De Casterlé BD, Abraham I, Dierckx K, Braes T, Darras E, Dubois Y, Milisen K. The professional self-image of nurses in Belgian hospitals: A cross-sectional questionnaire survey. Int J Nurs Stud. 2006;43(1):71–82.PubMedCrossRef Siebens K, De Casterlé BD, Abraham I, Dierckx K, Braes T, Darras E, Dubois Y, Milisen K. The professional self-image of nurses in Belgian hospitals: A cross-sectional questionnaire survey. Int J Nurs Stud. 2006;43(1):71–82.PubMedCrossRef
16.
Zurück zum Zitat Arthur D. Measurement of the professional self-concept of nurses: developing a measurement instrument. Nurse Educ Today. 1995;15(5):328–35.PubMedCrossRef Arthur D. Measurement of the professional self-concept of nurses: developing a measurement instrument. Nurse Educ Today. 1995;15(5):328–35.PubMedCrossRef
17.
Zurück zum Zitat Angel E, Craven R, Denson N. The Nurses Self-Concept Instrument (NSCI): Assessment of psychometric properties for Australian domestic and international student nurses. Int J Nurs Stud. 2012;49(7):880–6.PubMedCrossRef Angel E, Craven R, Denson N. The Nurses Self-Concept Instrument (NSCI): Assessment of psychometric properties for Australian domestic and international student nurses. Int J Nurs Stud. 2012;49(7):880–6.PubMedCrossRef
19.
Zurück zum Zitat Dagenais F, Meleis AI. Professionalism, work ethic, and empathy in nursing: the nurse self-description form. West J Nurs Res. 1982;4(4):407–22.PubMedCrossRef Dagenais F, Meleis AI. Professionalism, work ethic, and empathy in nursing: the nurse self-description form. West J Nurs Res. 1982;4(4):407–22.PubMedCrossRef
22.
Zurück zum Zitat Kyriazos TA. Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology. 2018;9(08):2207.CrossRef Kyriazos TA. Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology. 2018;9(08):2207.CrossRef
23.
Zurück zum Zitat Faul F, Erdfelder E. GPOWER: A priori, post-hoc, and compromise power analyses for MS-DOS [Computer program]. Bonn, FRG: Bonn University, Department of Psychology; 1992. Faul F, Erdfelder E. GPOWER: A priori, post-hoc, and compromise power analyses for MS-DOS [Computer program]. Bonn, FRG: Bonn University, Department of Psychology; 1992.
24.
Zurück zum Zitat Erdfelder E, Faul F, Buchner A. GPOWER: A general power analysis program. Behav Res Methods Instrum Comput. 1996;28(1):1–11.CrossRef Erdfelder E, Faul F, Buchner A. GPOWER: A general power analysis program. Behav Res Methods Instrum Comput. 1996;28(1):1–11.CrossRef
25.
Zurück zum Zitat Mokkink LB, De Vet HC, Prinsen CA, Patrick DL, Alonso J, Bouter LM, Terwee CB. COSMIN risk of bias checklist for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1171–9.PubMedCrossRef Mokkink LB, De Vet HC, Prinsen CA, Patrick DL, Alonso J, Bouter LM, Terwee CB. COSMIN risk of bias checklist for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1171–9.PubMedCrossRef
26.
Zurück zum Zitat Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007;30(4):459–67.PubMedCrossRef Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007;30(4):459–67.PubMedCrossRef
27.
Zurück zum Zitat Terwee CB, Mokkink LB, Knol DL, Ostelo RW, Bouter LM, de Vet HC. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist. Qual Life Res. 2012;21(4):651–7.PubMedCrossRef Terwee CB, Mokkink LB, Knol DL, Ostelo RW, Bouter LM, de Vet HC. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist. Qual Life Res. 2012;21(4):651–7.PubMedCrossRef
28.
Zurück zum Zitat Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, Bouter LM, de Vet HC. COSMIN checklist manual. Amsterdam: University Medical Center; 2012. Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, Bouter LM, de Vet HC. COSMIN checklist manual. Amsterdam: University Medical Center; 2012.
29.
Zurück zum Zitat Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford publications; 2017. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford publications; 2017.
33.
Zurück zum Zitat Hair JF. Multivariate data analysis. 2009. Hair JF. Multivariate data analysis. 2009.
34.
Zurück zum Zitat Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50.CrossRef Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50.CrossRef
35.
Zurück zum Zitat Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, Bouter LM, De Vet HC. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res. 2010;19(4):539–49.PubMedPubMedCentralCrossRef Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, Bouter LM, De Vet HC. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res. 2010;19(4):539–49.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Rosenberg JM, Beymer PN, Anderson DJ, Van Lissa C, Schmidt JA. tidyLPA: An R package to easily carry out Latent Profile Analysis (LPA) using open-source or commercial software. J Open Source Softw. 2019;3(30):978.CrossRef Rosenberg JM, Beymer PN, Anderson DJ, Van Lissa C, Schmidt JA. tidyLPA: An R package to easily carry out Latent Profile Analysis (LPA) using open-source or commercial software. J Open Source Softw. 2019;3(30):978.CrossRef
37.
Zurück zum Zitat Sauer PL, Dick A. Using Moderator Variables in Structural Equation Models. In: McAlister L, Rothschild ML, editors. NA - Advances in Consumer Research Volume 20. Provo: Association for Consumer Research; 1993. p. 636–40. Sauer PL, Dick A. Using Moderator Variables in Structural Equation Models. In: McAlister L, Rothschild ML, editors. NA - Advances in Consumer Research Volume 20. Provo: Association for Consumer Research; 1993. p. 636–40.
38.
Zurück zum Zitat Gignac GE, Reynolds MR, Kovacs K. Digit Span subscale scores may be insufficiently reliable for clinical interpretation: distinguishing between stratified coefficient alpha and omega hierarchical. Assessment. 2019;26(8):1554–63.PubMedCrossRef Gignac GE, Reynolds MR, Kovacs K. Digit Span subscale scores may be insufficiently reliable for clinical interpretation: distinguishing between stratified coefficient alpha and omega hierarchical. Assessment. 2019;26(8):1554–63.PubMedCrossRef
39.
Zurück zum Zitat Hai-ping Y, Wei-ying Z, You-qing P, Yun-ying H, Chi C, Yang-yang L. li-li H: Emergency medical staff’s perceptions on cultural value difference-based teamwork issues: A phenomenological study in China. J Nurs Manag. 2020;28(1):24–34.PubMedCrossRef Hai-ping Y, Wei-ying Z, You-qing P, Yun-ying H, Chi C, Yang-yang L. li-li H: Emergency medical staff’s perceptions on cultural value difference-based teamwork issues: A phenomenological study in China. J Nurs Manag. 2020;28(1):24–34.PubMedCrossRef
40.
Zurück zum Zitat Hu J, Gifford W, Ruan H, Harrison D, Li Q, Ehrhart MG, Aarons GA. Translation and linguistic validation of the implementation leadership scale in Chinese nursing context. J Nurs Manag. 2019;27(5):1030–8.PubMedCrossRef Hu J, Gifford W, Ruan H, Harrison D, Li Q, Ehrhart MG, Aarons GA. Translation and linguistic validation of the implementation leadership scale in Chinese nursing context. J Nurs Manag. 2019;27(5):1030–8.PubMedCrossRef
41.
Zurück zum Zitat Melnyk BM, Davidson S. Creating a culture of innovation in nursing education through shared vision, leadership, interdisciplinary partnerships, and positive deviance. Nurs Adm Q. 2009;33(4):288–95.PubMedCrossRef Melnyk BM, Davidson S. Creating a culture of innovation in nursing education through shared vision, leadership, interdisciplinary partnerships, and positive deviance. Nurs Adm Q. 2009;33(4):288–95.PubMedCrossRef
42.
Zurück zum Zitat Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods (EJBRM). 2008;6(1):53-60. Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electronic journal of business research methods (EJBRM). 2008;6(1):53-60.
43.
Zurück zum Zitat Kaya S, Sain GG, Teleş M, Korku C, Aydan S, Kar A,... Yıldız A. Validity and reliability of the Turkish version of the readiness for hospital discharge scale/short form. J Nurs Manag. 2018;26(3):295-301. Kaya S, Sain GG, Teleş M, Korku C, Aydan S, Kar A,... Yıldız A. Validity and reliability of the Turkish version of the readiness for hospital discharge scale/short form. J Nurs Manag. 2018;26(3):295-301.
44.
Zurück zum Zitat Bryant-Lukosius D, DiCenso A. A framework for the introduction and evaluation of advanced practice nursing roles. J Adv Nurs. 2004;48(5):530–40.PubMedCrossRef Bryant-Lukosius D, DiCenso A. A framework for the introduction and evaluation of advanced practice nursing roles. J Adv Nurs. 2004;48(5):530–40.PubMedCrossRef
45.
Zurück zum Zitat Parker JM, Hill MN. A review of advanced practice nursing in the united states, canada, australia and hong kong special administrative region (SAR), china. Int J Nurs Sci. 2017;4(2):196–204.PubMedPubMedCentral Parker JM, Hill MN. A review of advanced practice nursing in the united states, canada, australia and hong kong special administrative region (SAR), china. Int J Nurs Sci. 2017;4(2):196–204.PubMedPubMedCentral
47.
Zurück zum Zitat Cao XY, Liu XH, Tian L, Guo YQ. The reliability and validity of the Chinese version of nurses’ self-concept questionnaire. J Nurs Manag. 2013;21(4):657–67.PubMedCrossRef Cao XY, Liu XH, Tian L, Guo YQ. The reliability and validity of the Chinese version of nurses’ self-concept questionnaire. J Nurs Manag. 2013;21(4):657–67.PubMedCrossRef
48.
Zurück zum Zitat Silverthorne C. Leadership effectiveness and personality: A cross cultural evaluation. Pers Individ Differ. 2001;30(2):303–9.CrossRef Silverthorne C. Leadership effectiveness and personality: A cross cultural evaluation. Pers Individ Differ. 2001;30(2):303–9.CrossRef
50.
Zurück zum Zitat Daly J, Jackson D, Anders R, Davidson PM. Who speaks for nursing? COVID-19 highlighting gaps in leadership. J Clin Nurs. 2020;29(15–16):2751–2.PubMedPubMedCentralCrossRef Daly J, Jackson D, Anders R, Davidson PM. Who speaks for nursing? COVID-19 highlighting gaps in leadership. J Clin Nurs. 2020;29(15–16):2751–2.PubMedPubMedCentralCrossRef
51.
Zurück zum Zitat Lamb A, Martin-Misener R, Bryant-Lukosius D, Latimer M. Describing the leadership capabilities of advanced practice nurses using a qualitative descriptive study. Nurs Open. 2018;5(3):400–13.PubMedPubMedCentralCrossRef Lamb A, Martin-Misener R, Bryant-Lukosius D, Latimer M. Describing the leadership capabilities of advanced practice nurses using a qualitative descriptive study. Nurs Open. 2018;5(3):400–13.PubMedPubMedCentralCrossRef
52.
Zurück zum Zitat Li C-H. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016;48(3):936–49.PubMedCrossRef Li C-H. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016;48(3):936–49.PubMedCrossRef
53.
Zurück zum Zitat Godsey JA, Houghton DM, Hayes T. Registered nurse perceptions of factors contributing to the inconsistent brand image of the nursing profession. Nurs Outlook. 2020;68(6):808–21.PubMedPubMedCentralCrossRef Godsey JA, Houghton DM, Hayes T. Registered nurse perceptions of factors contributing to the inconsistent brand image of the nursing profession. Nurs Outlook. 2020;68(6):808–21.PubMedPubMedCentralCrossRef
54.
Zurück zum Zitat Godsey J, Perrott B, Hayes T. Can brand theory help re-position the brand image of nursing? J Nurs Manag. 2020;28(4):968–75.PubMedCrossRef Godsey J, Perrott B, Hayes T. Can brand theory help re-position the brand image of nursing? J Nurs Manag. 2020;28(4):968–75.PubMedCrossRef
Metadaten
Titel
Psychometric properties and latent profile analysis of the Nursing Brand Image Scale: a methodological study in the Chinese context
verfasst von
Lu Zhou
Zhao Ni
Judi Allyn Godsey
Khunanan Sukpasjaroen
YuMing Wu
Gao Liu
Thitinan Chankoson
Robert Kallmeyer
EnLi Cai
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2022
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-022-00975-2