Psychometric Properties and Measurement Invariance of Short-Form Life Attitude Inventory for Hospital Staff

Abstract

Background: The life attitude of health care workers can deeply influence the quality of care. Examining the performance of the Short-Form Life Attitude Inventory (SF-LAI), this study analyzes the factorial structure, reliability, and invariance of the revised SF-LAI across genders and professions among the staff of a teaching medical center.

Methods: The SF-LAI was developed for university students in Taiwan. From January to February 2019, we administered a cross-sectional survey of life attitudes by distributing the SF-LAI to all staff members of a medical center in Taiwan. The construct validity was evaluated using a confirmatory factor analysis (CFA). Model fit was assessed in terms of the comparative fit index (CFI), Tucker–Lewis index (TFI), standardized root mean square residual (SRMR), and root mean square of error of approximation (RMSEA). Internal consistency was calculated using Cronbach’s alpha. We also performed the CFA invariance analysis for the SF-LAI-R across genders and professions (physician, nurse and other hospital staff).

Results: Of 884 (24.62%) responses, 835 were valid. The participants had a mean age of 47.8 years, and 20.12% were male. In a comparison of multiple CFAs, a second-order model with six factors outperformed other models. The goodness of fit indices revealed the CFI was 0.955, TFI was 0.952, RMSEA was 0.071, and SRMR was 0.038. The Cronbach’s alphas for composite reliability and internal consistency were all greater than 0.8. The first and second-order model had metric and scalar invariance across genders and professions.

Conclusions: As health care demands evolve, humanities are becoming more important in medical education. Life attitude of hospital care worker is a crucial indicator of whether one embodies the ideals of a humanistic education. The revised SF-LAI has acceptable structural validity, internal consistency, and invariance across genders and professions among staff members of a teaching medical center.

Background

According to the data released by the United Nations Population Division, the percentage of the global population aged ≥65 will almost double over the next 30 years, increasing from 9.1–15.9% of the global population [1]. This implies that the average patient will have more comorbidities in the future. In addition to having more than one systemic disease, the patient may also experience psychological, spiritual, and social difficulties.

The provision of so-called whole person care (WPC) is crucial to meet the needs of these patients because it attends to the patient’s full spectrum of needs, including medical, behavioral, and socioeconomic [2-4]. WPC yields improved clinical outcomes, increased care quality, reduced cost of care, and greater consumer satisfaction [5-7].

WPC has been an objective of healthcare reform and medical education in the recent 20 years [8-10], but it is difficult to put into practice despite having theoretical principles that are easy to understand [11]. Transformative education was proposed to propagate WPC [12]. Because every decision is based on a person’s beliefs, attitudes, and values, whether held consciously or unconsciously [13], convincing healthcare workers (HCWs) to adopt WPC is crucial to encouraging them to reflect on the meaning of life to shape a positive attitude and empathy for life [14,15]. Several studies have demonstrated that the attitudes, beliefs, values, and norms of HCWs play an essential role in the health care experiences and treatment outcomes of patients [16, 17]. In addition to affecting their interaction with patients, the attitudes and beliefs of HCWs can also influence their motivation to alter their own practices and behaviors at work [18-25]. HCWs in teaching hospitals often observe birth, senility, sickness, and death and accompany people through momentous life events. The effect of these experiences on HCW attitudes has not been explored, and no reliable instrument exists to measure it.

Measuring Attitude Toward Life: Short-form Life Attitude Inventory

Life attitude refers to a person’s perceptions of the purpose of one’s life, control over one’s life, presence of an existential vacuum, acceptance of death, will to find meaning in life, and the pursuit of one’s goals [26]. The more positive one's life attitude is, the more one can accept frustrations and experience being loved and cared for [27]. In 1981, Reker and Peacock developed the self-reported Life Attitude Profile (LAP) to assess meaning in life (MiL) from logotherapeutic assumptions [26]. Originally, it contained 7 factors and 56 items. In 1992, Reker proposed the revised version, Life Attitude Profile-Revised, LAP-R [28], which contains 48 items for assessing 6 dimensions of MiL: purpose (having life goals and a sense of direction from the past, in the present, and toward the future), coherence (having a sense of order, a reason for existence, and a clear sense of personal identity), choice or responsibility (perception of freedom to make all life choices for oneself and take responsibility), acceptance of death (fearlessness of death and acceptance as a natural aspect of life), existential vacuum (lack of sense and orientation in life), and goal seeking (desire to search for new and diverse experiences). Several studies have analyzed the psychometric properties of the LAP-R when applied to individuals from various countries and populations, including adolescents, college students, and patients with cancer [29-32]. These studies have reported varying results, and the proposed factorial structures have ranged from three to six. Some LAP-R scales have exhibited satisfactory internal consistency, and others did not. The results have suggested that implementing LAP necessitates a consideration of cross-cultural elements and the particularities of a given population. Some life attitude scales have been formulated for the Taiwanese population [33-36]; however, most are person-centered and focus on psychotherapy. In 2010, Hsieh and Pan developed a Life Attitude Inventory (LAI) in traditional Chinese to assess university students’ attitude toward life; the LAI is based on the concepts of life formulated by Jean-Paul Sartre, Viktor Frankl, Rollo May, and Carl Rogers [37]. The LAI comprises 70 items in 6 dimensions: ideals of life (having meaningful life goals and worthy of effort to fulfill), autonomy (perception of freedom to make life choices for oneself and take responsibility), love and care (perception of others’ existence and being altruistic), feeling of existence (being sure of the meaning and value of their existence), attitude toward death (expectations, attitudes, and behaviors toward death), and life experience (attitude and reactions toward life’s setbacks and sufferings). The six dimensions can be categorized into three relationships: with oneself, with others, and with their situation. The ideals of life, autonomy, and feeling of existence were included in the relationships with self and love and care in the relationships with others, attitude toward death, and life experience in one’s relationship with their situation. Because the work of HCWs is almost entirely about others and their life situations, the LAI is more suited to measuring HCWs’ attitudes toward life than other scales are. In 2015, Hsieh and Pan proposed the simplified version, the Short-Form LAI (SF-LAI) [38]. For each dimension, they selected four items with improved reliability. The SF-LAI had a Cronbach’s alpha of 0.93 in a psychometric analysis. The reliability estimates for all factors ranged from 0.68–0.80. A confirmatory factor analysis (CFA) indicated that the six-factor model had a good fit, at χ² (237) = 1078.58, χ²/df = 4.55, GFI = 0.93, CFI = 0.93, and RMSEA = 0.053 [38]. Although this Taiwanese version of LAI had cross-cultural validity and suited the requirements for measuring the life attitudes of HCWs, the structural validity and internal consistency among HCWs has yet to be determined.

We conducted this study to (1) analyze the applicability of the SF-LAI to the HCWs of a teaching medical center, (2) explore the validity and internal reliability of the revised version of the SF-LAI, and (3) examine the extent of measurement invariance across genders and professions.

Methods

Instrument

The SF-LAI, a 24-question instrument that evaluates 6 dimensions of life attitude using a 7-point Likert scale (1: strongly disagree; 7: strongly agree), was used in the present study.

Data Quality And Descriptive Statistics

To assess item variability, we calculated the mean, standard deviations (SDs), central tendency, and skewness for each item. A skewness and kurtosis within a range of ±2 indicated normality [39]. The criteria for the good–poor analysis (differences between the highest and lowest scoring groups of items) was P < 0.05, and the item–total analysis (the correlation coefficient between the item and the total score) was ≥0.5 [40].

Construct Validity Of The Assessment Tool

A CFA with maximum likelihood estimation was conducted to verify the construct validity of the SF-LAI. In addition to relative (normed) chi square statistics (χ²/df) as a measure of fit, values <5 indicated an acceptable fit and values <3 indicated a good model fit [41]. Four conventional indices of goodness of fit were calculated: the comparative fit index (CFI) and the Tucker–Lewis index (TLI), with values ≥ 0.90 indicating acceptable fit and values ≥ 0.95 indicating good model fit [42]; the root mean square error of approximation (RMSEA), and the standardized root mean square residual (SRMR), with values ≤ 0.08 indicating acceptable and values ≤ 0.05 indicating good model fit [43.44].

The original six-factor structure model was tested using a CFA. If modifications were used, they were minimized and based on statistical and theoretical concerns; problematic items were eliminated, according to Anderson and Gerbing’s recommendation [45]. A second-order factor analysis was conducted to examine any latent variables in the first stage and more general concepts in the second stage [46]. The target coefficient (T), which was the ratio of the chi square of the first-order model to the chis-square of the higher order (more restrictive) model, was used to evaluate whether the first- or second-order model is preferable [47], where T = 1 and T ≥ 0.75 indicated perfect and reasonable fit, respectively [48]. We assessed internal consistency and convergent validity in terms of Cronbach’s alpha, the standard factor loading, the average variance extracted (AVE), and composite reliability (CR). The threshold of statistical measure in convergent analysis is standard factor loading≥ 0.50, AVE ≥0.50 and CR ≥0.60 as recommended by Hair et al [49]. Discriminant validity was assessed using bootstrapping approaches with 1000 samples to test the standard error of correlation coefficients between the six latent variables. A 95% confidence interval (CI) was calculated for the upper and lower bounds of the correlation coefficients. If the 95% CI does not contain 1.0, the pair of latent variables is considered discriminative [50]. To assess validity and applicability across various subpopulations, we conducted multigroup CFA by dividing the sample by gender and medical profession (physician, nurse, and other hospital staff) and performing separate subgroup CFAs. We compared five models [51]: model 1, configural invariance, included no cross-groups constraints, model 2 was used to test for metric invariance of the first-order factors, model 3 was used to test for metric invariance of the second-order factors, and models 4 and 5 were used to test for full scalar invariance of the first- and second-order factors in the model. The model was considered to be invariant across the groups if the difference in CFI and TLI between the unconstrained model and the weight-constrained model was less than 0.01 and 0.05, respectively [52,53].

All analyses were performed with IBM SPSS ver. 27.0 and Amos 27.0 (IBM Corp. Armonk, NY, USA).

Results

Internal Structure

Table 2 displays the means, SDs, skewness, kurtosis, and the item–total correlation of items. The absolute values of skewness and kurtosis were less than 1. The results of the good–poor and item–total analyses all met the criteria. Therefore, no item was removed.

Construct Validity And Reliability

We conducted CFA to examine the suitability of the hypothetical six-factor structure of the SF-LAI. Table 3 presents the goodness of fit values of the testing models. Overall, the six-factor model of the SF-LAI was confirmed. According to modification indices, item 5 was eliminated to improve model fit. Following the first-order CFA, the high correlation between feel existence and death acceptance implied that a single factor would be associated with the items of feel existence and death acceptance constructs. Therefore, we attempted to combine these two factors into one factor. However, the model fit indices of the five-factor model yielded no improvement in accuracy. Thus, a second-order factor analysis was performed to examine whether all factors were contributed by the common factor of the SF-LAI. Although the second-order fit indices were slightly lower than the first-order fit indices, they were within an acceptable range. The value of T = 0.90 implied the second-order model fit the data as well as the first-order model did. Because the second-order factor structure reduced correlations between the measurement errors of the first-order model and was more parsimonious and closely aligned with our present theoretical concepts of life attitude, we retained the second-order model for the remaining analyses (Fig. 1). For the final model, Table 4 illustrates that CR indices indicate satisfactory reliability for all factors (all >0.70). Additionally, the values of all 6 factor AVE were ≥0.50 and less than those of the CR represented an acceptable convergent validity. More notably, the CI (± two standard errors) for the correlation estimates between the pair factors did not include 1.0 and thus indicated satisfactory discriminant validity.

The results of the measurement invariance across genders and professions are displayed in Table 5. Based on the results of the configural model, we can conclude that no significant differences exist in the conceptualized factors between gender and profession. The metric invariance indicates that male and female respondents and physicians, nurses, and other hospital staff answered the items in a similar manner. The scalar invariance implies that we can compare means of factors across groups meaningfully [51].

Discussion

Training socially responsive medical professionals is a broad aim of medical education. Professionalism, humanism, and compassion are essential traits that HCWs should possess to meet the needs of the patients, especially in our aging society. However, these features are difficult to describe and assess. Inui and Swick proposed that the roots of professionalism are to be found in basic human values [54, 55], where the concept of “value” defined in terms of an individual’s attitude to their life and the world around them [56]. A positive attitude is necessary to motivation, engagement, a respect for human individuality, and a commitment to the betterment of humanity as a whole [57]. In this study, we revised and examined the factorial validity, construct validity, and internal reliability of the revised SF-LAI (SFLAI-R) to measure the attitude toward life among hospital staff of a teaching medical center in Taiwan. The psychometric results indicated that the SFLAI-R is a reliable and valid instrument to evaluate the life attitude of HCWs.

Our study reports that the six dimensions of the SF-LAI appropriately represent the underlying factor structure of HCWs’ life attitudes. Desirable validity and model fit indices were obtained after we omitted LA1, which states “I will take responsibility for the decisions I make.”. Although when the 24 items from the SF-LAI were included in a CFA, the goodness of fit indices for the model were acceptable, the fit indices would be significantly improved by removing LA1 according to the modification index and not influence the factor structure.

The instrument also measures the construct among men and women (i.e., with respect to gender) and among physicians, nurses, and other hospital staff (i.e., with respect to profession) in a similar manner. The absence of significant deterioration in the model when factor loads and intercepts are restricted suggests that first, each item contributes to the latent construct to a similar degree across groups and second, that for the same score on the latent variable, people in the various groups do not have inconsistent means for the observed variables. That means that the differences observed in the results of the items are explained by differences in latent variables but not from the differences in the interpretation or meaning of the items. The results make it possible to compare the means between men and women and between physicians, nurses, and other hospital staff at the level of latent variables [58].

This study has several strengths. First, to our best knowledge, this is the first time the SFLAI-R has been distributed to HCWs in a teaching medical center. HCWs communicate the most with hospital patients who are often faced with choices that implicate their values and beliefs. Therefore, HCWs’ attitudes toward life are essential in their support of patients. The ability to reliably measure HCWs’ attitudes toward life is necessary to provide a framework for understanding and conceiving strategies to effectively inspire compassion at the bedside in the clinic and throughout the hospital.

Second, this study provides robust evidence that the SFLAI-R as a measurement of HCWs’ attitudes toward life is generalizable across genders and professions and has excellent internal consistency.

Finally, this study can allow researchers and educators to measure, compare, and identify the specific factors that would influence life attitude and help them develop empirical interventions to promote a positive attitude toward life.

This study also has several limitations. First, the response rate was less than 30%. We do not know how this instrument might function with non-responders. However, non-respondent might also be an expression of life attitude. It was proposed that survey respondents were more likely to be socially engaged [59]. In our study, male, physician and new staff showed significantly lower response rate. Although, there are many possibilities, indifference and negative life attitude might be one of them. The response rate may be used as an indicator of effectiveness of future humanistic education. Second, the study was conducted in a single teaching medical center in Taiwan. Future research may adopt a cross-hospital or cross-cultural research design. Third, we did not examine empirical validity because life attitude is a complex, multilevel concept; external data for use as a standard for comparison is lacking. Future studies might compare the outcomes of the SFLAI-R with patient satisfaction, quality of care, or hospital accreditation.

Conclusions

In conclusion, with the evolution in health care demands, HCWs’ should appreciate the intangible concept of human value. To create effective educational strategies and curricula, we require a valid instrument to explore the attitude toward life among HCWs. The SFLAI-R exhibits excellent construct validity and internal consistency to measure life attitude and could therefore be used to measure the differences and teaching effectiveness among HCWs exposed to an experimental curriculum in humanistic teaching practices in the future.

Abbreviations

SF-LAI: Short-Form Life Attitude Inventory; CFA: confirmatory factor analysis; CFI: comparative fit index; TFI: Tucker–Lewis index; SRMR: standardized root mean square residual; RMSEA: root mean square of error of approximation; WPC: whole person care; HCWs: healthcare workers; LAP: Life Attitude Profile; MiL: meaning in life; LAP-R: Life Attitude Profile-Revised; LAI: Life Attitude Inventory; AVE: average variance extracted; CR: composite reliability; CI: confidence interval; SFLAI-R: revised SF-LAI

Declarations

Ethics approval and consent to participate

Ethical approval was obtained and document informed consent was waived by the Institutional Review Board of Kaohsiung Veterans General Hospital (VGHKS18-CT8-30). All procedures in this study adhered to the World Medical Association (WMA) Declaration of Helsinki (2013) ethical guidelines.

Consent for publication

All authors participating in the study give their consent for its publication.

Availability of data and material

The data used and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Funding

This work was supported by grants from Kaohsiung Veterans General Hospital VGHKS108-D08-1 to Dr. Kang-Ju Chou.

Authors’ contributions

The study was primarily conceived, planned, carried out by KJC. HCF and YYC helped to interpret the results and provided critical feedback. HCF, FZW, PCL and CTT contributed to data preparation. KJC wrote the manuscript. All authors discussed the results and approved the final manuscript for publication and have agreed to be accountable for all aspects of the work.

Acknowledgements

The authors would like to express gratitude and appreciation to Professor Pan and Professor Hsieh for their generous permission to use SF-LAI. We also thank the hospital staff of Kaohsiung Veterans General Hospital for assisting this study.

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