The purpose of this research is to build city competitiveness evaluating models through structural equation model(SEM) by using data of 5 cities and 14 counties of Taiwan. According to literature review, the research choses three dimensions for city competitiveness: economic, living environment and education. Belongs to three dimensions, there are 18 indexes to evaluate city competitiveness. By using five steps Confirmatory factor analysis(CFA), the explained variance of three dimensions are more than 50%, which economic model is 58%, living environment model is 61% and education model is 62%. Although fitness indexes of two order confirmatory factor analysis are under 0.9, but composite reliability(CR) 0.9486 is more than 0.7, and average variance extracted(AVE) 0.6307 is more than 0.5, these mean the model of research is representative to some extent. Finally, the research offered some suggestions for future researchers.

With fast technical change and rapid information deliver, forcing electric products of life cycle has been reduced dramatically. Driven by market trend, causes the product development process bears squeeze. Therefore, electric component distributor is no longer engaged in the trading business, but also provides multiple services as share product features, marketing information, design application and create product add-on value. This helps customers to have products ready in the market as soon as possible. Most of electrical component manufacturers seek for more than one distributor in order to expand their own business, increase market share and decrease potential risk. At the mean time, there are many distributors investing on technical support and even preparing material without solid order for the customers demand, but the orders are still lost by slight cents difference. Thus, how to raise up the customer loyalty and repeat orders have become the important task of electric components distributor. According to nowadays industry of electric component distributor, the study of analysis of key factors affecting customer loyalty is to enhance the relationship and satisfaction as customer loyalty increase proposal and cost reduce plan for future development strategy. According to the result of research, the affecting of S company customers' loyalty is in terms of the degree of product substitutability, price, satisfaction, and the product brand.

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This doctoral thesis ‘Real Estate Development: a Customer Perspective’, mainly concerns questions that are related to why consumers make a choice and what they are looking for. The first part of this thesis is the result of the research project ‘Models for the Construction Sector’ (MoPo) and the second part is the result of a collaborative project between KTH Royal Institute of Technology, the Construction Sector Innovation Centre (BIC), five private companies[1] and four municipalities in Stockholm County. Since the Latham report (Latham, 1994), there has been considerable debate about the need for an increased focus on the end customer in the construction process. The housing sector in Sweden has a strong tradition in focusing on construction and project management issues and less on customer satisfaction. Similar findings have been reported in ‘Skärpning gubbar’ (Swedish Government Official Report, 2002) and recently, ‘Sega gubbar’ (Byggkommisionen, 2009), which show that attitudes and processes in the housing sector in Sweden have not really changed since the initial report in 2002. From the perspective of consumer-oriented research in residential development, this issue concerns the ability to understand why customers buy (cognition), what they want (the product) and how the message, relating the product to the consumer, should be formulated (marketing). Investment decisions could be improved if developers ask what kind of values have proved to be important for residents and buyers for a specific type of residential development, what the functional and psychological consequences they are looking for are, and then ask what kind of product attributes can be provided, given economic constraints. Paper one shows the main activities in how to provide needed facilities and their relationship to the end users’ core business. Paper two shows how the laddering technique can be used to elicit buyers’ beliefs about the built environment, according to the means-end chain theory. The means-end chain theory postulates that buyers purchase a product because it satisfies personal values and desired consequences, which from their perspective are more important than product attributes. Paper three shows the development of a multi-item attitude scale. This scale identifies five key dimensions that are important for the customer when deciding to purchase an apartment in a residential development. The dimensions are: urban environment, architecture, safety, relaxation and liveliness. Paper four shows structural modelling evidence supporting the theoretical assumption that personal values have an impact upon expectations and perceived performance. The structural sub-models show that if perceived performance is increased, customers’ satisfaction will be positively affected. During our research, we have not found any current knowledge in the construction industry in Sweden on how to investigate and measure customers’ values and their beliefs, or how to model customers’ evaluation of product performance using structural equations. [1] Besqab, JM, NCC, Stockholm municipality, Solna municipality, Sollentuna municipality, Swedbank, Upplands-Väsby municipality, Veidekkke. / <p>QC 20100729</p> / Formas 244-2004-183

<div>Recovering combinatorial structures from noisy observations is a recurrent problem in many application domains, including, but not limited to, natural language processing, computer vision, genetics, health care, and automation. For instance, dependency parsing in natural language processing entails recovering parse trees from sentences which are inherently ambiguous. From a computational standpoint, such problems are typically intractable and call for designing efficient approximation or randomized algorithms with provable guarantees. From a statistical standpoint, algorithms that recover the desired structure using an optimal number of samples are of paramount importance.</div><div><br></div><div>We tackle several such problems in this thesis and obtain computationally and statistically efficient procedures. We demonstrate optimality of our methods by proving fundamental lower bounds on the number of samples needed by any method for recovering the desired structures. Specifically, the thesis makes the following contributions:</div><div><br></div><div>(i) We develop polynomial-time algorithms for learning linear structural equation models --- which are a widely used class of models for performing causal inference --- that recover the correct directed acyclic graph structure under identifiability conditions that are weaker than existing conditions. We also show that the sample complexity of our method is information-theoretically optimal.</div><div><br></div><div>(ii) We develop polynomial-time algorithms for learning the underlying graphical game from observations of the behavior of self-interested agents. The key combinatorial problem here is to recover the Nash equilibria set of the true game from behavioral data. We obtain fundamental lower bounds on the number of samples required for learning games and show that our method is statistically optimal.</div><div><br></div><div>(iii) Lastly, departing from the generative model framework, we consider the problem of structured prediction where the goal is to learn predictors from data that predict complex structured objects directly from a given input. We develop efficient learning algorithms that learn structured predictors by approximating the partition function and obtain generalization guarantees for our method. We demonstrate that randomization can not only improve efficiency but also generalization to unseen data.</div><div><br></div>

School districts face unique challenges as they implement social and emotional learning (SEL) initiatives, particularly when choosing or developing a high-quality scale to measure non-academic competencies. Like collaborations with the CORE school districts described by West, Buckley, et al. (2018) and the Washoe County School District described by Davidson et al. (2018), Alpine School District (ASD) partnered with Brigham Young University (BYU) to develop a scale (80 items) that reflected their Vision for Learning framework. In this pilot study, I describe the collaborative and iterative process used to develop a shortened version of the ASD Social and Emotional Well-Being Scale Beta Form A (23 items), which was administered to 461 secondary level students in the Spring of 2021. I implemented a relatively novel approach of comparing the results from exploratory structural equation modeling (ESEM) with target rotation with the results obtained from the more traditional confirmatory factor analysis (CFA) as a part of the iterative process. The scores of the resulting shortened version achieved acceptable fit (CFI = .97, TLI = .96, SRMR = .03, RMSEA = .06), high factor loadings (M = .80, SD = .09), high reliability indices by sub-scale (M = .94, SD = .03), and measurement invariance across gender and school level. I discuss insights that resulted from this novel approach in the development process, and make recommendations for its use, specifically in the field of SEL measurement. I end by encouraging the collaborative efforts between practitioners and researchers as a way of increasing capacities within districts, facilitating larger scale research, and ensuring the usefulness of findings.

Successful educational systems are established, maintained, and cultivated on a foundation of trust. Effective communication among colleagues is widely accepted as a characteristic of groups who establish and maintain high levels of trust. Despite the importance of the relationships between interpersonal communication skills and levels of organizational trust in postsecondary educational settings, there is very little published on this topic. Further, no published research was located that examined relationships between measures of mindfulness in communication with levels of organizational trust in postsecondary educational settings. This study examined relationships between measures of competent and mindful communication with levels of organizational trust among coworkers, with supervisors, and with the organization in a postsecondary academic library. Study participants included 116 out of 150 non-student library employees of a postsecondary academic library on a large suburban private university campus. The research survey was comprised of four different instruments: the SocioCommunicative Orientation Scale (SCO; Richmond & McCroskey, 1990); the Cognitive Flexibility Scale (CFS; Martin & Rubin, 1995); the Mindfulness in Communication Scale (MCS; Arendt et al., 2019); and the Workplace Trust Survey (WTS; Ferres & Travaglione, 2003). The functioning of each instrument was examined by confirmatory factor analysis. Satisfactory model fit for each instrument was obtained. Structural equation modeling revealed that self-reported levels of communication responsiveness predicted levels of trust in coworkers (p = .02). Perceived levels of mindfulness in communication of coworkers predicted levels of trust in coworkers (p < .001), and perceived levels of mindfulness in communication of supervisors (p < .001) predicted levels of trust in supervisors. This research suggests that perceptions of mindfulness in communication among coworkers and with supervisors are associated with levels of organizational trust within postsecondary academic settings in important ways. Further research is necessary to increase understanding of the relationships between mindfulness in communication and organizational trust in educational environments.

Satisfaction is one of the most common dependent variables in the research of adult intimate relationships. Research has demonstrated that length of time married and sex of participants influence the characteristics of marriage, yet little research has been done to determine the characteristic changes in relationship satisfaction over time and across sexes. A review of theory and research suggests both the manners and specific items of satisfaction that vary between groups. RELATE data was used to uncover significant differences in the importance of specific items of marital satisfactions between groups based on relationship length, and between husbands and wives.

The Outcome Questionnaire-45 (OQ-45) is a 45-item instrument designed to be used by psychotherapists to track their clients' distress over time. The OQ-45 is composed of three factors: symptomatic distress, interpersonal relations, and social role performance. Numerous researchers have attempted to replicate this intended three-factor structure in their own data, only to find poor fit. Attempts to find a factor structure that does show adequate fit have been met with mixed, but generally poor, results. Additionally, very little work has been done to establish that the OQ-45 exhibits sufficient longitudinal measurement invariance to allow comparison of OQ-45 scores over time. Notwithstanding these known issues regarding the fit of the OQ-45, it has been adopted widely in many countries and translated into several dozen languages. This study sought to identify a factor structure of the OQ-45 that did exhibit longitudinal measurement invariance. Using a sample of 7,751 clients who made 56,353 visits to Brigham Young University's Counseling and Psychological Services between 1996 and 2017, three factor structures were analyzed using Mplus 8.2 through confirmatory factor analysis: (a) single-factor, (b) intended three-factor, and (c) bifactor models. The bifactor model fit the data best, as determined by standard fit statistics (CFI, TLI, RMSEA, SRMR). However, this bifactor model still had inadequate fit. At this point, exploratory structural equation modeling (ESEM) using target rotation was applied to the bifactor model. This ESEM bifactor model had a dominant general factor and did have good fit to the data. Having selected the ESEM bifactor model, it was then tested to see if it showed longitudinal measurement invariance over five time points (the initial OQ-45 score at the intake appointment, followed by four subsequent appointments). The OQ-45 items were treated as categorical and analyzed using the WLSMV estimator. Four time sequences were examined for configural, metric, and scalar longitudinal invariance: Time 1 to Time 2, Time 1 to Time 3 (inclusive of Time 2), Time 1 to Time 4 (inclusive of Times 2 and 3), and Time 1 to Time 5 (inclusive of Times 2, 3, and 4). The OQ-45, when modeled as an ESEM bifactor model, does exhibit scalar longitudinal measurement invariance. Using a new method developed by Clark (2020), ΔSRMR between adjacent models (configural to metric, metric to scalar) were all below his recommended guideline of .01. This is the first study to find a good fitting model of the OQ- 45 that can be used to assess changes in clients' psychological functioning over time. Total OQ- 45 scores can continue to be used by therapists to monitor their patients with confidence in its longitudinal psychometric properties.

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