Predictors Of Satisfaction Research Articles

Assessing the Effect of Transactional Leadership and Empowerment on Nursing Staff's Satisfaction: A Cross-Sectional Study.

The present study aimed to explore the impact of transactional leadership and psychological empowerment on Greek nurses' job satisfaction. Α cross-sectional study was conducted in five Greek public general hospitals between January 1 and March 30, 2022. Participants were 608 nurses. The study was conducted using a self-administered questionnaire that included: a) demographic and occupational characteristics, b) the Multifactor Leadership Questionnaire (MLQ), c) the Psychological Empowerment Instrument (PEI), and d) the Kuopio University Hospital Job Satisfaction Scale (KUHJSS). Mean scores indicated positive perceptions of transactional leadership (3.55 ± 0.72), high levels of empowerment (3.94 ± 0.49), and job satisfaction (leadership 3.92 ± 1.07, working environment 3.34 ± 0.78, motivating factors 4.11 ± 0.89, and team spirit 4.08 ± 0.37). Younger nurses with secondary education exhibited higher satisfaction. Multiple regression analyses identified nurses' level of education, transactional leadership, and psychological empowerment as main predictors of leadership satisfaction (F=4.343, p=.002, R2 =.28, adjusted R2 =.22). Younger nurses with higher empowerment levels and positive attitudes toward transactional leadership reported greater satisfaction from motivating factors (F=6.925, p=.000, R2 =.44, adjusted R2 =.38). The results of the study showed that nurses' satisfaction from work is mainly derived from leadership, despite the potent effect of psychological empowerment.

Impact of Service Quality, Pricing Strategies, User Trust, and Technological Innovation in Indonesia's Online Transportation Services Industry

This study investigates the impact of service quality, pricing strategies, user trust, and technological innovation on customer satisfaction in Indonesia's online transportation services industry. Using a sample of 400 respondents, the research employs regression analysis to identify the relationships between these variables. The findings reveal that service quality is the most significant predictor of customer satisfaction, followed by user trust, pricing strategies, and technological innovation. The results highlight the interrelated nature of these factors, suggesting that improvements in one area can positively influence the others. The study underscores the importance of maintaining high service standards, establishing user trust, implementing effective pricing strategies, and leveraging technological advancements to enhance customer satisfaction. These insights provide valuable implications for practitioners aiming to optimize user experiences and foster loyalty in a competitive market.

Client’s pre-operative expectations and outcome of cataract surgery at the Jos University Teaching Hospital, Jos, Plateau State, Nigeria

Objectives: A cataract is an opacity of the natural crystalline lens that causes vision loss. It is the most common cause of blindness worldwide, accounting for 39% of the 42 million blind people in the world. The optimum outcome from a cataract surgery can be achieved if post-operative subjective outcomes meet pre-operative expectations. It is expressed in different ways including patient satisfaction. This study evaluated clients’ pre-operative expectations and the outcome of cataract surgery at Jos University Teaching Hospital. Materials and Methods: A quasi-experimental, prospective hospital-based study that consecutively recruited 109 participants aged 18 years and above for 6 months. Data regarding the sociodemographic characteristics, pre-operative visual function, and expected post-operative outcome were collected preoperatively, and the subjective outcome and level of patient satisfaction were also assessed 6 weeks after surgery using a visual function index questionnaire. Data were analysed using the Statistical Package for the Social Sciences’ version 23. Frequencies and percentages were determined for categorical variables; mean and standard deviation, median, and interquartile range were calculated for continuous variables. Correlation was used to measure the relationship between overall satisfaction and expected or achieved visual function. A significant level was determined at P < 0.05. Results: A total of 109 participants were seen in this study, of which 60 (55%) were males. The mean age of participants in the study was 64.5 ± 11.1 years. The median (interquartile range) expected and actual post-operative outcome scores were 100 (80–100) and 98 (75–100), respectively. The majority of the participants, 86 (78.9%), were satisfied with the outcome of cataract surgery, and the predictors of satisfaction were insertion of posterior chamber intraocular lens, absence of complications, and absence of ocular comorbidities. We found a significant strong positive correlation between subjective outcome and satisfaction (r = 0.538, P ≤ 0.0001). Conclusion: The majority of the clients were satisfied with the outcome of their surgeries which meets the high expected outcomes from the clients pre-operative. Adequate counselling, training, and retraining of surgeons are key to improving and maintaining satisfaction with the outcome of cataract surgery.

Service Quality and Patient Satisfaction of Internet Hospitals in China: Cross-Sectional Evaluation With the Service Quality Questionnaire.

Internet hospitals, which refer to service platforms that integrate consultation, prescription, payment, and drug delivery based on hospital entities, have been developing at a rapid pace in China since 2014. However, assessments regarding their service quality and patient satisfaction have not been well developed. There is an urgent need to comprehensively evaluate and improve the service quality of internet hospitals. This study aims to investigate the current status of patients' use of internet hospitals, as well as familiarity and willingness to use internet hospitals, to evaluate patients' expected and perceived service qualities of internet hospitals using the Chinese version of the Service Quality Questionnaire (SERVQUAL-C) with a national representative sample, and to explore the association between service quality of internet hospitals and patients' overall satisfaction toward associated medical platforms. This cross-sectional survey was conducted through face-to-face or digital interviews from June to September 2022. A total of 1481 outpatient participants (635 men and 846 women; mean age 33.22, SD 13.22). Participants reported their use of internet hospitals, and then rated their expectations and perceptions of service quality toward internet hospitals via the SERVQUAL-C, along with their demographic information. Among the surveyed participants, 51.2% (n=758) of participants had used internet hospital service or services. Use varied across age, education level, and annual income. Although the majority of them (n=826, 55.8%) did not know internet hospital services well, 68.1% (n=1009) of participants expressed the willingness to adopt this service. Service quality evaluation revealed that the perceived service quality did not match with the expectation, especially the responsiveness dimension. Important-performance analysis results further alerted that reliable diagnosis, prompt response, clear feedback pathway, and active feedback handling were typically the services awaiting substantial improvement. More importantly, multiple linear regressions revealed that familiarity and willingness to use internet hospital services were significant predictors of satisfaction, above and over tangibles, reliability, and empathy service perspectives, and demographic characteristics such as gender, age, education level, and annual income. In the future, internet hospitals should focus more on how to narrow the gaps between the expected and perceived service quality. Promotion of internet hospitals should also be facilitated to increase patients' familiarity with and willingness to use these services.

Exploring Sexual Satisfaction in Lesbian and Bisexual Women from a Minority Stress Perspective

Sexual health among lesbian and bisexual (LB) women has largely been studied in the context of sexual health behaviors. Less is known about aspects of sexual health such as sexual satisfaction and minority stress processes as possible predictors of sexual satisfaction. This study explored sexual satisfaction and minority stress in LB women. Single and partnered cisgender LB women (N = 627) were compared on measures of sexual satisfaction and proximal minority stress (i.e., internalized homonegativity and outness/concealment). The proximal minority stress variables were tested as predictors of sexual satisfaction in a regression analysis. Multigroup analyses were also conducted to explore differences between lesbian and bisexual women in the regression analysis. Participants were recruited through LGBT+ websites and other social media platforms in Norway. Results showed that lesbian women were more open about their sexual orientation, reported greater identification with the LGBT+ community, and were more sexually satisfied than bisexual women. Those with a steady partner were also more sexually satisfied than those who were single. Being younger, partnered and experiencing less internalized homonegativity (IH) predicted greater satisfaction in LB women overall, and no differences in the predictors across sexual orientation were found in the multigroup analysis.

A machine learning approach for analyzing sexual satisfaction based on psychological features

AbstractThe emergence of machine learning techniques has revolutionized various fields, helping to shed light into the complexities of human sexuality and address sexuality-related problems. The present study aimed to classify sexual satisfaction in both women (n = 503) and men (n = 342), who completed a digital survey aimed at Colombian adults based on a snowball sampling. Collected data were analyzed using several supervised learning algorithms where inputs included marital status, sociosexuality, sexual drive, sexual functioning, and personality traits. The results showed that the XGBoost model provided best classification results for sexual satisfaction in women, while the Artificial Neural Networks (ANN) had the best performance in classifying sexual satisfaction in men. In both groups, sexual functioning and sexual drive were the most significant predictors of sexual satisfaction. Traits such as extraversion, narcissism, machiavellianism, and sociosexual behavior had a lesser importance. Lastly, psychopathy emerged as a significant predictor of men's sexual satisfaction, whereas conscientiousness emerged as a significant predictor of women's satisfaction. This study provides a technological tool to classify sexual satisfaction using Machine Learning models, in addition, provide, in terms of entropy, variables with the greatest influence based on the data and predictions.

Determinants of inpatient satisfaction and hospital recommendation: experiences from a cross-sectional study of a tertiary general hospital in China

ObjectivesThis study aims to investigate the satisfaction levels of inpatients and identify the determinants of inpatient satisfaction and hospital recommendations.DesignA cross-sectional study was conducted in 2022.SettingA tertiary general hospital in Sichuan Province, China.Participants271 inpatients were randomly selected and studied.Primary and secondary outcome measuresA tailored questionnaire was developed to measure inpatient satisfaction and hospital recommendation. T-test and analysis of variance were employed to compare the differences in inpatients’ demographic characteristics across five satisfaction domains. Multivariate binary logistic regression was performed to identify determinants associated with inpatient satisfaction and hospital recommendation.ResultsThe mean inpatient satisfaction score was 4.27 and the mean hospital recommendation score was 3.96. Inpatients showed the highest satisfaction with the physician care domain and the lowest satisfaction with the hospital environment domain. Statistically significant differences were observed in inpatient demographic characteristics among specific satisfaction domains. Older inpatients, those with Urban Employees and Residents Medical Insurance, from the internal medicine department, and inpatients from the hospital’s older region reported the highest levels of satisfaction. Multivariate binary logistic regression revealed that the nursing care domain was the strongest positive predictor of both inpatient overall satisfaction and hospital recommendation. Additionally, the medical procedure and hospital environment domains were strong positive predictors for hospital recommendation and inpatient overall satisfaction respectively. The hospital region domain was a strong negative predictor for inpatient overall satisfaction.ConclusionsHigher satisfaction levels do not necessarily correlate with an increased likelihood of hospital recommendation. Inpatient satisfaction levels vary significantly based on factors such as age, gender, insurance type, hospital clinical department and region. The domains of nursing care and medical procedure are the influencing factors associated with inpatient overall satisfaction. The domains of nursing care, hospital environment and hospital region are the influencing factors of inpatient hospital recommendation.

Analyzing the Impact of E-Service Quality and Information Quality on Student Satisfaction: A Case Study at Lemondial Business School

This study examines the influence of e-service quality and information quality on student satisfaction at Lemondial Business School, focusing on The Genius portal. Utilizing a quantitative approach, data were collected from 80 students through a structured questionnaire. Results indicate significant positive correlations between e-service quality (r = .732) and information quality (r = .785) with student satisfaction. Multiple regression analysis reveals both e-service quality and information quality as significant predictors of student satisfaction, with coefficients of 0.452 and 0.578, respectively. Qualitative insights highlight the importance of responsiveness and accurate information. Recommendations include enhancing staff training, implementing systematic content reviews, and establishing feedback mechanisms to improve digital learning environments. This research contributes to understanding these relationships in an Indonesian higher education context.

Hospital satisfaction among older adults by European Union health system clusters

Abstract Background Health systems are influenced by political, historical, cultural and socio-economic factors and differ across countries. Classification of EU health systems into 5 clusters has allowed for international comparison and policy recommendations. This study is based on the Andersen’s Behavior Model, that predicts that a sequence of predisposing, enabling and need factors influence satisfaction and utilization of healthcare services. Aim Examine the nature and relationship of predisposing, enabling and need factors associated with hospital satisfaction of older adults across EU nations by health system classification clusters. Methods Data from Wave 9, of the Survey of Health, Ageing and Retirement in Europe (SHARE) were examined using a sample of older adults from 10 EU countries. Analysis: Non-parametric one-way ANOVA (Kruskal- Wallis test) and Multinominal Logistics regression were performed to test the null hypothesis that (1) hospital satisfaction is equal across all clusters, and (2) predisposing, enabling, and need factors, are not predictors of hospital satisfaction. Findings There was a statistically significant difference in hospital satisfaction by cluster [Chi Square= 231.44, df = 21; p< .001]. Age, mental health, technology and chronic disease are predictors of healthcare facilities satisfaction. [Chi Square 50.94, df = 3, p< .001], Among those that reported to be highly unsatisfied with healthcare facilities, [chronic disease (Beta = -2.64) and mental health (Beta = -4.41) df = 1 p< .001] significantly predicted hospital satisfaction. Implications for Policy and Practice: Initiatives for the care of older adults should not only aim to increase access to care but also provide targeted services for sub populations such as older adults with mental health and chronic diseases. Further, significant investment is required in technology infrastructure within hospitals and technological assistance or training should be provided to older adults. Key messages • Older adults satisfaction with hospitals varies by health system clusters and is predicted by age, mental health, use of technology and chronic disease. • Chronic disease and mental health are strong predictors of hospital dissatisfaction among older adults.

Promoting and ImprovinPromoting and Improving the Tourism Industry in Malaysia through Tourist Satisfactiong the Tourism Industry in Malaysia through Tourist Satisfaction

Tourism is an important sector that contributes to the countries’ economies. Tourism has a direct relationship with other industries such as hotels, transportation, and retail as tourists who come to the country will spend their money on these categories. During the COVID-19 pandemic, the tourism industry was badly affected and so did the other related industries. Now, people are back visiting attractive places, staying in hotels during their visits, and spending money on food and other items. However, little is known about why people are attracted to visit some places or countries and not others. The study is meant to investigate the factors that lead to tourist satisfaction when they visit a country. A total of 150 respondents answered the survey that was distributed to students, and public and private sector employees in Malaysia through an online platform. The results indicated that accommodation, tourism products and host attitudes were significant in leading to tourist satisfaction. While price was not a significant predictor of tourist satisfaction. The practical and theoretical implications of the study are discussed at length in this paper.

Predictors of Happiness and Life Satisfaction among University Teacher-Trainees on Internship

The study investigated the factors that drive happiness and life satisfaction among university teacher trainees on school practice internship. It was a purely qualitative study that employed explorative methods and a phenomenological design because it dealt with the subjective experiences about happiness and life satisfaction during internship as a phenomenon. It was conducted on a population of 25 participants drawn from a total population of about 700 teacher trainees on internship placement. The respondents were selected using both purposive and convenient sampling technique. These methods were preferred because purposively, the respondents were teacher trainees on internship and conveniently, they were under the supervision of the corresponding author. Data was collected using in depth interviews and analysed using themes and narratives drawn from the transcribed data. Results’ presentation, analysis and discussions was done concurrently. The findings revealed that happiness and life satisfaction among teacher trainees on internship school practice placement is determined by economic and financial drivers, supervision processes, collegial social support and connections, student or learner attributes, logistical provisions and follow up factors. As a result of the findings, universities invested in teacher training and schools hosting internship teacher trainees are required to boost the university-based and school-based factors in order to promote happiness and life satisfaction among the trainees respectively through provision of teaching practice logistics, supervisor support and evaluation, student/learner discipline, as conditions aimed at enhancing happiness, for the end goals of academic achievement

Interest–Major Fit predicts study satisfaction and/or achievement? Comparing different ways of assessment

ABSTRACT Prospective students and higher educational institutions often share the matching goal to ensure an optimal fit between the demands of study programs and the student profile. A strong personal fit is meant to facilitate long-term study satisfaction and optimal performance. However, to truly understand the impact of such a fit, we must first reach a consensus on how to measure the construct. At this point, researchers and higher education practitioners are debating different avenues in this regard: In the past, the fit has often been measured by assessing vocational interests tied to potential occupations that are attainable through a study program (Interest–Vocation Fit). Here, we argue that more specific measures tailored to the respective major (Interest–Major Fit) have more predictive power. We compare the two operationalizations of fit as predictors of performance and study satisfaction in a sample of 455 German university students who participated in a longitudinal survey study. We found that the different measures of personal fit were associated with subsequent university GPA and study satisfaction. Moreover, we found that Interest–Major Fit was more closely associated with these outcome measures compared to Interest–Vocation Fit. We also found that only Interest–Major Fit has incremental predictive power for study satisfaction beyond high school GPA. These findings should be helpful to researchers interested in the intricacies of measuring fit and higher education practitioners aiming to develop diagnostic tools alike. Such tools may in turn assist prospective students in finding the major that caters best to their personal needs and interests.

Analyzing the impact of work meaningfulness on turnover intentions and job satisfaction: A self-determination theory perspective

Abstract While employees actively seek out workplaces that offer meaningful work experiences, the concept of meaningful work remains notably underexplored within the turnover literature. The present study addresses this gap by examining the role of work meaningfulness among knowledge workers and its direct and indirect effects on turnover intentions and job satisfaction through the lens of self-determination theory. Our findings show significant effects on turnover intentions and job satisfaction, with work meaningfulness emerging as a stronger predictor of job satisfaction, while still contributing to reducing turnover intentions. Most extant literature focuses on sources and ways to enhance work meaningfulness. We contribute to more recent research on its relationship with its outcomes especially the link with turnover intentions, offering insight into a relationship that has produced few, but conflicting,results.

Key Predictors of Patient Satisfaction and Loyalty in Saudi Healthcare Facilities: A Cross-Sectional Analysis.

Patient satisfaction and loyalty are essential indicators of healthcare quality, directly impacting patient outcomes and the long-term success of healthcare facilities. Despite the growing importance of patient-centered care in Saudi Arabia, there is limited research exploring the factors that influence patient satisfaction and loyalty, particularly in the Riyadh region. This study aims to identify the key factors influencing patient satisfaction and loyalty among Saudi patients attending public and private healthcare facilities in the Riyadh region. The study focuses on how healthcare service quality, communication, and demographic factors contribute to patient satisfaction and loyalty. A cross-sectional study was conducted with a sample of 350 Saudi patients from 10 healthcare facilities in Riyadh. Data were collected using the Patient Satisfaction Questionnaire (PSQ-18) and the Patient Loyalty Questionnaire (PLQ). Descriptive statistics, Pearson correlation, and multiple linear regression were employed to identify predictors of patient satisfaction and loyalty. Significant predictors of patient satisfaction included general satisfaction (β = 0.48, p < 0.001), communication (β = 0.35, p < 0.001), and the frequency of healthcare visits (β = 0.13, p = 0.011). Private healthcare facilities had higher satisfaction (p < 0.001) and loyalty scores (p < 0.001) compared to public facilities. Patient loyalty was strongly predicted by general satisfaction (β = 0.55, p < 0.001) and communication (β = 0.42, p < 0.001). Communication quality and patient satisfaction are key drivers of patient loyalty in Saudi healthcare facilities. Private facilities outperform public ones in patient satisfaction and loyalty. These findings emphasize the need for healthcare providers to enhance communication and service quality to foster patient loyalty. Tailored approaches to meet the diverse needs of patients, particularly in terms of education and visit frequency, are crucial for improving healthcare outcomes in Saudi Arabia.

How We Communicate Forgiveness to Our Partners Matters: Forgiveness-Granting Strategies, Forgiveness Tendency, Commitment, and Relationship Satisfaction in Dating and Married Couples

Abstract Individuals in dating and marital relationships experience various transgressions that require forgiveness (e.g., hurtful communication, mistrust, lies, or infidelity). This study examines forgiveness-granting strategies in the context of forgiveness tendency, relationship length, commitment, satisfaction, and relational consequences to better understand relationship dynamics. 649 individuals (532 dating, 117 married), aged 18–65 (M = 26.00, SD = 8.82) participated. The sample included 517 women (79.7 %) and 132 men (20.3 %). Participants described a forgiven transgression and completed questionnaires, including the Multidimensional Forgiveness-Granting Scale (MFGS), Transgression-Related Interpersonal Motivations Inventory (TRIM-18), Relationship Assessment Scale (RAS), and the commitment subscale from the Investment Model Scale. One open-ended question (types of forgiven transgressions) was analyzed consensually. Quantitative data were analyzed using correlational analysis, regression analysis, and t-tests. The most common transgression was infidelity. A linear regression analysis showed that the strongest positive predictor of relationship satisfaction was the tendency to forgive one’s partner. Nonverbal displays positively predicted relationship strengthening, while the discussion strategy predicted relationship deterioration negatively. These findings emphasize the importance of how forgiveness is communicated and may inform interventions to enhance romantic relationships.

Intimate Partner Violence and Mental Distress, Post-Traumatic Stress Symptoms and Life Satisfaction in Colombian Women.

Intimate partner violence (IPV) against women is a major global public health and human rights issue, with significant consequences for women's health and well-being. This study aimed to determine the relevance of IPV on women's mental distress, post-traumatic stress symptoms and life satisfaction, and to examine whether age, education, socioeconomic status, social support and self-esteem are associated with mental health and well-being. The sample consisted of 255 women aged 18 to 71 living in Colombia who were assessed using six self-reported questionnaires. Hierarchical multiple regression analyses showed that more IPV was associated with women's increased mental distress, post-traumatic stress symptoms and decreased life satisfaction. Although self-esteem and, to a lesser extent, social support were important predictors of women's mental distress and well-being, psychological IPV was the main predictor of women's post-traumatic stress symptoms, followed by lower self-esteem and younger age. The most important predictor of women's mental distress was lower self-esteem, followed by more psychological IPV and lower social support. The main predictor of women's life satisfaction was high self-esteem, followed by high social support, less psychological IPV and higher age and education. It is concluded that IPV, especially psychological IPV, is a serious threat to women's mental health and well-being, while high self-esteem and, to a lesser extent, high social support are associated with better mental health and well-being.

Sociodemographic aspects, beliefs about lifestyles, and religiosity as predictors of life satisfaction in Peruvian university students: a cross-sectional study.

Beliefs and practices related to healthy lifestyles and religiosity can play an important role in overall well-being. However, few studies have explored the association between these factors and life satisfaction in the university context. This study examined the association between sociodemographic aspects, lifestyle beliefs, and religiosity with life satisfaction in university students. A cross-sectional predictive study was conducted during the months of March and May 2024 at a private university located in the northern region of Peru. Validated instruments were distributed that included a lifestyle beliefs scale, the Santa Clara Strength of Religious Faith Questionnaire-Short Form (SCSRFQ-SF), the Satisfaction with Life Scale (SWLS) and a sociodemographic data section. A total of 1,258 students participated in the study. Multiple linear regression models were used for predictive analysis. Being a student of foreign origin, compared to being Peruvian, is negatively and significantly associated with life satisfaction (β = -0.066, p = 0.003). In contrast, a positive association is observed between belonging to the Faculty of Health Sciences (β = 0.119, p = 0.048) and life satisfaction, compared to students from other faculties. Furthermore, lifestyle beliefs (β = 0.579; p < 0.001) and religiosity (β = 0.182; p < 0.001) are positively and significantly associated with life satisfaction. These findings suggest that universities and health professionals should consider promoting healthy lifestyles and supporting religious practices as important strategies to improve student life satisfaction, considering relevant sociodemographic aspects.

The impact of digital banking service quality on customer loyalty: An interplay between customer experience and customer satisfaction

The purpose of this study is to examine the impact of service quality dimensions on customer experience, satisfaction and loyalty in the context of digital banking in Indian public sector banks. Data collection involved purposeful sampling, resulting in 524 valid survey responses. Psychometric characteristics were examined, and the hypotheses were tested using the Hayes process approach. Statistical analysis was conducted using SPSS 25 and AMOS 22 (structural equation modeling software). The study uses the Cognitive-Motivational-Relational (CMR) theory to examine the dynamics of service quality dimensions (RATER) in the context of digital banking, as well as their impact on customer experience and, ultimately, customer loyalty. The study’s findings reveal that service quality dimensions play a significant role in promoting customer experience. The study emphasizes the importance of customer experience as a predictor of customer satisfaction and loyalty. Customer satisfaction has been identified as a strong predictor of customer loyalty. It has also been identified as a mediating factor in the relationship between customer experience and loyalty. Banks and financial institutions can use these findings to optimize their digital banking services and enhance customer experience. Audits of the quality of digital banking services provided by Indian public sector banks will help them to strategize their operations in a highly competitive and digitized environment to meet the ever-increasing demands of today’s tech-savvy, digitally empowered customers who expect a seamless customer experience, thereby attracting new customers and strengthening the relationships with existing ones.

Validation of the Chinese Version of the Body Image Flexibility and Inflexibility Scale among Chinese College Students.

Body image flexibility is a specific type of psychological flexibility relevant to body image. The development of the Body Image Flexibility and Inflexibility Scale (BIFIS) expands the concept and structure of body image flexibility and provides more detailed measurement indicators for theoretical research and clinical practice. However, the tool's applicability to the Chinese population is still unclear. This study aims to test the reliability and validity of the BIFIS among Chinese college students. A total of 1446 Chinese college students were surveyed and completed a series of scales, including the Chinese version of the BIFIS (i.e., C-BIFIS). A total of 99 participants were retested one month later. Confirmatory factor analysis supported the second-order factor structure of the BIFIS. The C-BIFIS showed measurement invariance across genders. The scale also exhibited good internal consistency and test-retest reliability. The higher-order body image flexibility and inflexibility factors were significantly correlated with unidimensional body image flexibility, body satisfaction, body appreciation, intuitive eating, and life satisfaction. Incremental validity tests indicated that two higher-order factors remained unique predictors of intuitive eating and life satisfaction. In conclusion, the Chinese version of the BIFIS has good psychometric properties and could be used to study body image flexibility in Chinese college student populations.

Data-driven modeling of consumer product satisfaction using an orthogonal arrangement of sound attributes

Sound quality attributes have been proven to be important predictors of customer satisfaction with consumer appliances. The results of several studies indicate that level-based, tonal, and temporal aspects of sound influence the perceived quality of consumer products. The current state-of-the-art of inferring consumer satisfaction with sound attributes is based on the jury test methodology. However, listening-based jury studies fail to capture interaction effects nor study sound samples based on an orthogonal arrangement of sound quality attributes. Therefore, this study aims to develop data-driven models to mathematically relate sound attributes to consumer satisfaction. A baseline sound obtained from the operational noise generated by a fan-powered home appliance was used as a reference sound for researching the importance of sound quality attributes. An orthogonal-designed experiment was conducted to prepare sound samples based on selected sound attributes, including loudness, sharpness, roughness, and prominence ratio. Consumer studies were conducted to measure the product satisfaction of the various sound samples, which were used to train the data-driven model. The data-driven model was shown to accurately predict consumer satisfaction metrics based on sound quality attributes. Therefore, the proposed methods are valuable for evaluating new products within the model inference space without conducting further listening-based jury studies.