This study was designed to empirically test a conceptual model and measurement of financial well-being as a function of (a) personal characteristics; (b) objective attributes, quantitative indicators of the financial domain and financial management behaviors of respondents; (c) perceived attributes, subjectively assessed life conditions and perceptions of financial situation; and (d) evaluations of financial situation using various reference points as standards of comparison. Two sub-problems were investigated in the study: (a) Which group of attributes, personal characteristics, objective attributes, perceived attributes, or evaluated attributes, significantly explains variance in perceived financial well-being?; and (b) Which individual attributes significantly explain variance in perceived financial well-being? A mail survey was conducted from October of 1989 through January of 1990 with a randomly selected sample of Virginia citizens (N = 1,500). After an initial mailing and two follow-up mailings, 529 questionnaires were returned of the 1,450 that were received by respondents, providing a 36.5% total return rate (529/1,450). Twenty-three questionnaires were blank or unusable, yielding a useable return rate of 34.9% (506/1,450). Demographic characteristics of the sample were similar to those of the population of Virginia citizens. Financial well-being, as measured by an adaptation of Cantril's (1965) 11-point self-anchoring striving scale, was the dependent variable. All of the independent variables regressed on the dependent variable produced an R 2 of .71, which was statistically significant (p < .01). Removing each group of attributes individually from the regression equation resulted in a significant (p < .01) decrease in the resulting adjusted R2s as computed by F ratios. All attribute groups were determined to be essential to the measurement of financial wellbeing. Individual variables with a significant t ratio (p < .05) were the Perceived Attribute Index, Index of Well-Being, and full-time employment status. The results of the study supported the conceptual model. Results clearly verified the measurement of financial well-being as a function of personal characteristics, objective attributes, perceived attributes, and evaluated attributes. / Ph. D.

Increased integration of the handicapped in regular classrooms, popularly called mainstreaming, has drawn attention to how nonhandicapped students are affected. Numerous authors have contended that integration has the potential to positively affect nonhandicapped individuals' socio-moral development. Empirical data to support this contention have not accumulated as an instrument has not been available to measure value reflective conative attitudes toward the handicapped. This study addressed the problem of development of an instrument to measure action choices toward the handicapped which would reflect the attitude holder's underlying general socio-moral reasoning. Item responses relating to integration issues were constructed to represent characteristic moral judgment at various levels. The developed "Action Choices Toward Handicapped" (A.C.T.H.) instrument was field tested with two samples of 138 subjects each, including high school students, graduate students, and teachers. Research questions focused on instrument validity, internal consistency and reliability, and variables affecting scores. Validity was supported by a panel of judges critique, and a significant positive correlation between scores on the A.C.T.H. and the Defining Issues Test (D.l.T.) of general moral reasoning. Nonsignificant effects of: order of tests; directions to try to obtain a high score; knowledge of handicapped law; and sex supported the discriminant validity of the A.C.T.H. The reliability was determined to be .71. Variables tested for their effect on scores included reported: family member who is handicapped: close handicapped friend; and integrated education experience. Mean A.C.T.H. and D.l.T. scores were significantly higher for subjects reporting having had integrated educational experience. Forty-six of the subjects also completed a commonly used test of general attitudes toward disabled persons, the A.T.D.P. Subjects' A.T.D.P. scores had a nonsignificant correlation with the both the A.C.T.H. and D.l.T. scores, indicating that the developed instrument was a better indicator of attitude holder's underlying socio-moral reasoning in this study. Additional research is recommended before making generalizations about use and interpretation of the developed A.C.T.H. instrument. / Ed. D.

Essay #1: Reconstructing Online Behavior through Effort Minimization Data from online interactions increasingly informs our understanding of fundamental patterns of human behavior as well as commercial and social enterprises. However, this data is often limited to traces of users' interactions with digital objects (e.g. votes, likes, shares) and does not include potentially relevant data on what people actually observe online. Estimating what users see could therefore enhance understanding and prediction in a variety of problems. We propose a method to reconstruct online behavior based on data available in many practical settings. The method infers a user's most likely browsing trajectory assuming that people minimize effort exertion in online browsing. We apply this method to data from a social news website to distinguish between items not observed by a user and those observed but not liked. This distinction allows us to obtain significant improvements in prediction and inference in comparison with multiple alternatives across a collaborative filtering and a regression validation problem. Essay #2: Measuring Individual differences: A Big Data Approach The amount of behavioral and attitudinal data we generate every day has grown significantly. This era of Big Data has enormous potential to help psychologists and social scientists understand human behavior. Online interactions may not always signify a deep illustration of individuals' beliefs, yet large-scale data on individuals interacting with a variety of contents on specific topics can approximate individuals' attitudes toward those topics. We propose a novel automated method to measure individuals' attitudes empirically and implicitly using their digital footprints on social media platforms. The method evaluates content orientation and individuals' attitudes on dimensions (i.e. subjects) to explain individual-content ratings in social media, optimizing a pre-defined cost function. By applying this method to data from a social news website, we observed a significant test-retest correlation and substantial agreement in inter-rater reliability testing. Essay #3: Social Media and User Activity: An Opinion-Based Study An increasing fraction of social communications is conducted online, where physical constraints no longer structure interactions. This has significantly widened the circle of people with whom one can interact and has increased exposure to diverse opinions. Yet individuals may act and respond differently when faced with opinions far removed from their own, and in an online community such actions could activate important mechanisms in the system that form the future of the outlet. Studying such mechanisms can help us understand the social behaviors of communities in general and individuals in particular. It can also assist social media outlets with their platform design. We propose models that capture the changes in individuals' activities in social media caused by interacting with a variety of opinions. Estimating the parameters of the models using data available from a social news website (Balatarin) as a case study, we extracted mechanisms affecting the communities on this platform. We studied the effect of these mechanisms on the future formation and the lifecycle of the platform using an agent-based simulation model. Having examined the effect of biased communities on the social media, the results imply that individuals increase their online activity as a result of interacting with contents closely aligned to their own opinion. / Ph. D.

Little attention has been paid in the literature to participant perception of, and attitudes toward, program and service quality in the congregate meals program. Based upon the scarcity of knowledge in this area, managers and participants in the Title III C meals program in Montgomery County, Maryland were surveyed to explore how differences in perception of program and service quality affect participant acceptance and evaluation of the program. A nutrition monitoring instrument was designed for managers at 14 meal sites to assess major components of the food service operation. A survey addressing participant perception of meal quality, meal acceptance, program administration and management, and food service personnel was designed and administered to 264 participants. The two surveys contained 17 identical or similar questions to identify any perceptual differences. Several social variables such as age, educational level, sex, marital status, living arrangement and acquisition of information about the program were found to significantly influence participant response to certain questions. Significant differences in perception between managers and participants were found in response to questions regarding availability of nutrition education lessons, need for therapeutic diets, adequacy of program transportation, temperatures at which food was served, and the degree to which substitutions were made for posted menu items. The results of this research will be used to make suggestions for program planning and evaluation, as well as to aid in continuous quality assurance. / Master of Science

Cette étude examine, auprès d'un groupe d'étudiants de niveau collégial, les connaissances concernant le SIDA et compare les attitudes vis-à-vis le SIDA et l'homosexualité. L'échantillon de 298 sujets fut invité à répondre à trois questionnaires. L'un d'eux mesure les attitudes envers le SIDA, un deuxième les attitudes à l'égard de l'homosexualité et un troisième évalue les connaissances sur le SIDA.Les deux hypothèses principales prévoyaient que les étudiants ayant une attitude défavorable envers l'homosexualité feraient preuve de plus d'intolérance envers le SIDA et qu'une connaissance élevée du SIDA favoriserait des attitudes positives. Les résultats démontrent l'existence d'un lien entre les attitudes négatives que les jeunes entretiennent face à l'homosexualité et au SIDA. Quant à la seconde hypothèse, elle s'avère non significative. Le niveau de connaissance du SIDA n'affecte pas l'attitude des gens envers cette maladie.

A survey of the Virginia Agribusiness Council members was conducted to identify the basic and technical skills that are important for high school graduates to develop prior to seeking entry-level employment in the agricultural industry. Available entry-level positions were categorized and the mean years of experience at each position identified. Skills were ranked in order of decreasing importance based on mean scores of the survey respondents. Overall, basic skills ranked higher than technical skills. The top five skills in order of importance were: a positive work attitude, self-motivation, the ability to follow directions, safe equipment operation, and working without supervision. Data were analyzed by firm category as utilized by the Virginia Agribusiness Council. Contrary to the skill ranking of the other firm categories, the producer category ranked the ability to follow directions as the most important skill. The entry-level positions identified could be classified into the following categories: management, laborer, skilled operator, sales, and clerk/office employee. The most frequent entry-level jobs identified were in the laborer and management training classifications. The mean years of work experience for all positions, across all categories, was seven years. Basic and technical skills are both essential elements for high school graduates seeking entry-level employment in agriculture. Neither area should be emphasized over the other in preparation for work at the high school level. A firm foundation of basic and technical skills needed in the agricultural industry is recommended for students’ successful transition from school to work. / Master of Science

Product defects concern various groups of people, such as customers, manufacturers, government officials, etc. Thus, defect-related knowledge and information are essential. In keeping with the growth of social media, online forums, and Internet commerce, people post a vast amount of feedback on products, which forms a good source for the automatic acquisition of knowledge about defects. However, considering the vast volume of online reviews, how to automatically identify critical product defects and summarize the related information from the huge number of user reviews is challenging, even when we target only the negative reviews. As a kind of opinion mining research, existing defect discovery methods mainly focus on how to classify the type of product issues, which is not enough for users. People expect to see defect information in multiple facets, such as product model, component, and symptom, which are necessary to understand the defects and quantify their influence. In addition, people are eager to seek problem resolutions once they spot defects. These challenges cannot be solved by existing aspect-oriented opinion mining models, which seldom consider the defect entities mentioned above. Furthermore, users also want to better capture the semantics of review text, and to summarize product defects more accurately in the form of natural language sentences. However, existing text summarization models including neural networks can hardly generalize to user review summarization due to the lack of labeled data. In this research, we explore topic models and neural network models for product defect discovery and summarization from user reviews. Firstly, a generative Probabilistic Defect Model (PDM) is proposed, which models the generation process of user reviews from key defect entities including product Model, Component, Symptom, and Incident Date. Using the joint topics in these aspects, which are produced by PDM, people can discover defects which are represented by those entities. Secondly, we devise a Product Defect Latent Dirichlet Allocation (PDLDA) model, which describes how negative reviews are generated from defect elements like Component, Symptom, and Resolution. The interdependency between these entities is modeled by PDLDA as well. PDLDA answers not only what the defects look like, but also how to address them using the crowd wisdom hidden in user reviews. Finally, the problem of how to summarize user reviews more accurately, and better capture the semantics in them, is studied using deep neural networks, especially Hierarchical Encoder-Decoder Models. For each of the research topics, comprehensive evaluations are conducted to justify the effectiveness and accuracy of the proposed models, on heterogeneous datasets. Further, on the theoretical side, this research contributes to the research stream on product defect discovery, opinion mining, probabilistic graphical models, and deep neural network models. Regarding impact, these techniques will benefit related users such as customers, manufacturers, and government officials. / Ph. D. / Product defects concern various groups of people, such as customers, manufacturers, and government officials. Thus, defect-related knowledge and information are essential. In keeping with the growth of social media, online forums, and Internet commerce, people post a vast amount of feedback on products, which forms a good source for the automatic acquisition of knowledge about defects. However, considering the vast volume of online reviews, how to automatically identify critical product defects and summarize the related information from the huge number of user reviews is challenging, even when we target only the negative reviews. People expect to see defect information in multiple facets, such as product model, component, and symptom, which are necessary to understand the defects and quantify their influence. In addition, people are eager to seek problem resolutions once they spot defects. Furthermore, users also want to better summarize product defects more accurately in the form of natural language sentences. These requirements cannot be satisfied by existing methods, which seldom consider the defect entities mentioned above, or hardly generalize to user review summarization. In this research, we develop novel Machine Learning (ML) algorithms for product defect discovery and summarization. Firstly, we study how to identify product defects and their related attributes, such as Product Model, Component, Symptom, and Incident Date. Secondly, we devise a novel algorithm, which can discover product defects and the related Component, Symptom, and Resolution, from online user reviews. This method tells not only what the defects look like, but also how to address them using the crowd wisdom hidden in user reviews. Finally, we address the problem of how to summarize user reviews in the form of natural language sentences using a paraphrase-style method. On the theoretical side, this research contributes to multiple research areas in Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning. Regarding impact, these techniques will benefit related users such as customers, manufacturers, and government officials.

This thesis approaches the theoretical concepts of public opinion, its history and origins of public opinion research in the Czechoslovak Republic and abroad. It describes the circumstances of the creation, operation and termination of the Czechoslovak Institute for Public Opinion Research, which was established under the leadership of Josef Kopta and came under the I. Department of the Ministry of Information. More particularly provides a detailed view of The Veřejné mínění Journal, which was published between 1946 and 1948 and the publisher was the institute. Among the personalities associated with the institute and the magazine belonged Čeněk Adamec, Bohuš Pospíšil and Milan A. Tesař. The journal represented a Europe-wide unique. No other institution published a similar format of the journal, which conceived as the major topic of public opinion. It was a professional and popularization journal, which was addressed to experts and the general public. Individual subsections describe the specific content of the journal, which, inter alia, consist of professional articles of various kinds, reports on domestic and foreign researches, comments from readers and other sections. Special attention is given to information related to the field of media.

精神病康復者認同和內化公眾對他們的污名思維會經驗自我污名的想法。然而，自我污名思維本身並不一定會導致慢性心理困擾。只有當自我污名經常和自動地出現，成為心理習慣，才會產生恆定的精神困擾。自我污名的心理過程應該區別於心理內容，獨立評估，和不被假定相同於所有康復者。本論文基於心理習慣範式概念化自我污名的過程。 / 研究一開發一項名為自我污名的自動化和重複程度的測量工具，並於95位康復者建立這工具與其短版的效度。共有百分之四十二點一的參加者報告自我污名習慣。較負面的自我污名內容、較強的負面經驗避免和較低的靜觀跟自我污名習慣有關。這習慣和較差的自尊、主觀生活質量和復元亦有關。 / 研究二測量自我污名相關概念的自動聯想模式。具有較強（人數 = 46）和較弱（人數 = 45）自我污名習慣的康復者接受一系列簡短內隱聯想測驗，評估內隱自我污名的三個部分：康復者身份對自我的內隱中心性，對精神病的內隱態度和內隱自尊。較強的身份中心性與自我污名習慣有關。內隱身份中心性也會通過自我污名習慣降低自尊和主觀生活質量。 / 研究三測量對自我污名相關概念的自動注意力。具有較強（人數 = 46）和較弱（人數 = 45）自我污名習慣的康復者接受一項情緒斯特魯普任務，評估他們為自我污名、自信與非情感的刺激命名顏色的反應潛伏期。強組對自我污名刺激的反應較快，反映他們對那些信息的情感含義有較少的自動注意力，因此對顏色命名任務有較少的干擾。 / 自我污名習慣的概念為自我污名的理論、評估和干預提供了新的觀點。由於自我污名對心理健康的影響是雙重由於負面內容和其慣性的出現，如只基於傳統、以內容為本的工具測量自我污名，其對康復者的影響有可能被低估。現有的干預計劃亦應加強針對與自我污名習慣有關的不良應對機制（負面經驗避免和缺乏靜觀）和偏頗信息處理（自動聯想和注意力偏見）。以靜觀和接納為本的心理治療提升康復者對目前時刻的意識與對自我污名思維的不加批判驗收，可減輕自我污名習慣。 / People with mental illness (PMI) may endorse and internalize public stigma directed against them and at times experience self-stigmatizing thinking. However, having self-stigmatizing thoughts per se does not necessarily lead to chronic psychological distress. Only when such thinking occurs frequently and automatically as a mental habit, this creates constant mental negotiation within the individuals, which may have deleterious effects on their mental health and recovery. Of note, the mental process should be distinguished from the mental content of self-stigmatizing thinking, assessed independently, and not be assumed to be homogeneous across all PMI. In a series of three studies, I conceptualized process aspects of self-stigmatizing thinking based on the mental habit paradigm. / Study 1 applied the construct of self-stigmatizing thinking habit in developing a new assessment tool, the Self-stigmatizing Thinking’s Automaticity and Repetition (STAR), and validated the STAR and its short form in a community sample of 95 PMI. Almost half (42.1%) of the participants reported habitual self-stigmatizing thinking. More negative cognitive content of self-stigmatizing thinking, greater experiential avoidance, and lower mindfulness contributed to stronger self-stigmatizing thinking habit. The adverse effects of the mental habit included lower self-esteem, decreased subjective quality of life, and poorer recovery. / Study 2 investigated the possibility of a pattern of more automatic self-stigma-relevant associations among habitual self-stigmatizing thinkers. A set of Brief Implicit Association Tests was administered to PMI with strong (n=44) and weak (n=50) self-stigmatizing thinking habit to assess the three components of implicit self-stigma: implicit centrality of the mental illness identity to the self, implicit attitudes toward mental illness, and implicit self-esteem. Greater implicit identity centrality, but not negative implicit attitudes toward mental illness and low implicit self-esteem, was predictive of stronger self-stigmatizing thinking habit. Implicit identity centrality also contributed to lower self-esteem and decreased subjective quality of life through self-stigmatizing thinking habit. / Study 3 examined the potential automatic attentional biases for self-stigmatizing information among habitual self-stigmatizing thinkers. An Emotional Stroop Task was administered to PMI with strong (n=46) and weak (n=45) self-stigmatizing thinking habit to assess response latencies in color-naming self-stigmatizing versus self-assurance versus non-affective words. The strong habit group was characterized by faster responses to the self-stigmatizing stimuli, reflecting their automatic attentional bias away from the emotional meaning of self-stigmatizing information and hence less interference effects on the color-naming task. / The construct of self-stigmatizing thinking habit offers new perspectives on self-stigma’s theory, assessment, and intervention. As the deleterious effects of self-stigma on mental health are due doubly to the negative content and habitual manifestation of self-stigmatizing thoughts, the impact of self-stigma on PMI may be underestimated if it is based solely on traditional content-oriented measures. Existing self-stigma intervention programmes, which are cognitive content-oriented, should be improved by additionally targeting the dysfunctional coping mechanisms (i.e., experiential avoidance and the lack of mindfulness) and information-processing biases (i.e., automatic evaluation and attentional biases) involved in the mental habit. In mitigating self-stigmatizing thinking habit, practitioners may apply psychotherapies based on mindfulness and acceptance in order to enhance present-moment awareness and nonjudgmental acceptance of self-stigmatizing thoughts. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Chan, Ka Shing Kevin. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 119-149). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese; appendixes in Chinese. / Abstract --- p.i / Acknowledgements --- p.iv / Table of Contents --- p.vii / List of Tables --- p.xi / List of Figures --- p.xii / Abbreviations --- p.xiii / Chapter Chapter 1. --- Self-Stigmatizing Thinking as Mental Habit --- p.1 / Chapter 1.1. --- Theoretical Conceptualizations of Habit --- p.1 / Chapter 1.2. --- Theoretical Conceptualizations of Mental Habit --- p.3 / Chapter Chapter 2. --- Self-Stigma in People with Mental Illness --- p.4 / Chapter 2.1. --- The Consequences of Self-Stigma for Mental Health of People with Mental Illness --- p.5 / Chapter 2.2. --- The Roots of Self-Stigma in People with Mental Illness --- p.5 / Chapter 2.3. --- Self-Stigma Interventions for People with Mental Illness --- p.7 / Chapter 2.3.1. --- Cognitive Content-Oriented Interventions for Self-Stigma --- p.7 / Chapter 2.3.2. --- Cognitive Process-Oriented Interventions for Self-Stigma --- p.10 / Chapter 2.4. --- Gaps in Research on Self-Stigma in People with Mental Illness --- p.12 / Chapter Chapter 3. --- Theoretical Conceptualizations of Self-Stigmatizing Thinking Habit --- p.15 / Chapter 3.1. --- The Mental Content of Self-Stigmatizing Thinking --- p.15 / Chapter 3.2. --- The Mental Process of Self-Stigmatizing Thinking --- p.16 / Chapter 3.2.1. --- The Frequency of Self-Stigmatizing Thinking --- p.16 / Chapter 3.2.2. --- The Automaticity of Self-Stigmatizing Thinking --- p.18 / Chapter 3.3. --- The Consequences of Self-Stigmatizing Thinking Habit for Mental Health of People with Mental Illness --- p.19 / Chapter 3.4. --- Interventions for Self-Stigmatizing Thinking Habit in People with Mental Illness --- p.20 / Chapter Chapter 4. --- Empirical Assessment of Self-Stigmatizing Thinking Habit --- p.24 / Chapter 4.1. --- The Self-stigmatizing Thinking‘s Automaticity and Repetition (STAR) Scale --- p.24 / Chapter 4.2. --- Implicit Association Test --- p.27 / Chapter 4.3. --- Emotional Stroop Task --- p.29 / Chapter Chapter 5. --- Overview of the Studies --- p.34 / Chapter 5.1. --- Objectives --- p.34 / Chapter 5.2. --- Long-Term Impact --- p.35 / Chapter Chapter 6. --- Study 1 Assessing Self-stigmatizing Thinking Habit Using a Self-Reported Questionnaire: A Validation Study of the Self-stigmatizing Thinking’s Automaticity and Repetition (STAR) Scale in People with Mental Illness --- p.38 / Chapter 6.1. --- Introduction --- p.38 / Chapter 6.2. --- Method --- p.39 / Chapter 6.2.1. --- Participants --- p.39 / Chapter 6.2.2. --- Procedure --- p.39 / Chapter 6.2.3. --- Measures --- p.40 / Chapter 6.2.3.1. --- Sociodemographic, clinical, and social contact characteristics --- p.40 / Chapter 6.2.3.2. --- Self-stigmatizing thinking habit --- p.40 / Chapter 6.2.3.3. --- Self-stigmatizing cognitive content --- p.40 / Chapter 6.2.3.4. --- Self-esteem --- p.41 / Chapter 6.2.3.5. --- Self-identity --- p.41 / Chapter 6.2.3.6. --- Experiential avoidance --- p.41 / Chapter 6.2.3.7. --- Mindfulness --- p.42 / Chapter 6.2.3.8. --- Subjective quality of life --- p.42 / Chapter 6.2.3.9. --- Recovery --- p.42 / Chapter 6.2.4. --- Data Analyses --- p.43 / Chapter 6.3. --- Power Calculation --- p.44 / Chapter 6.4. --- Results --- p.45 / Chapter 6.4.1. --- Participant characteristics --- p.45 / Chapter 6.4.2. --- Score distribution on the STAR --- p.46 / Chapter 6.4.3. --- Factor analyses on the STAR and STAR-S --- p.46 / Chapter 6.4.4. --- STAR-S reliability and validity --- p.48 / Chapter 6.4.5. --- Prevalence of self-stigmatizing thinking habit --- p.51 / Chapter 6.4.6. --- Predictors of self-stigmatizing thinking habit --- p.51 / Chapter 6.4.7. --- Impact of self-stigmatizing thinking habit on self-esteem when self-stigmatizing cognitive content was taken into consideration --- p.52 / Chapter 6.4.8. --- Impact of self-stigmatizing thinking habit on subjective quality of life when selfstigmatizing cognitive content was taken into consideration --- p.53 / Chapter 6.4.9. --- Impact of self-stigmatizing thinking habit on recovery when self-stigmatizing cognitive content was taken into consideration --- p.54 / Chapter 6.5. --- Discussion --- p.54 / Chapter 6.6. --- Implications for the Next Study --- p.58 / Chapter Chapter 7. --- Study 2 Automatic Self-Stigma-Relevant Associations in Self-Stigmatizing Thinking Habit: Evidence from the Brief Implicit Association Tests --- p.59 / Chapter 7.1. --- Introduction --- p.59 / Chapter 7.2. --- Method --- p.61 / Chapter 7.2.1. --- Participants --- p.61 / Chapter 7.2.2. --- Procedure --- p.61 / Chapter 7.2.3. --- Measures --- p.61 / Chapter 7.2.3.1. --- Self-stigmatizing thinking habit --- p.61 / Chapter 7.2.3.2. --- Explicit self-stigma --- p.62 / Chapter 7.2.3.3. --- Implicit attitudes toward mental illness --- p.62 / Chapter 7.2.3.4. --- Implicit identity centrality --- p.64 / Chapter 7.2.3.5. --- Implicit self-esteem --- p.64 / Chapter 7.2.3.6. --- Explicit self-esteem --- p.65 / Chapter 7.2.3.7. --- Subjective quality of life --- p.65 / Chapter 7.2.4. --- Data Analyses --- p.66 / Chapter 7.3. --- Power Calculation --- p.68 / Chapter 7.4. --- Results --- p.69 / Chapter 7.4.1. --- Participant characteristics --- p.69 / Chapter 7.4.2. --- Confirmation of the interrelated two-factor structure --- p.71 / Chapter 7.4.3. --- Confirmation of the second-order hierarchical structure --- p.71 / Chapter 7.4.4. --- Characteristics of participants in the strong and weak habit groups --- p.72 / Chapter 7.4.5. --- BIAT performance by participants in the strong and weak habit groups --- p.73 / Chapter 7.4.6. --- Predictors of self-stigmatizing thinking habit --- p.74 / Chapter 7.4.7. --- The mediating role of self-stigmatizing thinking habit on explicit self-esteem --- p.75 / Chapter 7.4.8. --- The mediating role of self-stigmatizing thinking habit on subjective quality of life . --- p.76 / Chapter 7.5. --- Discussion --- p.77 / Chapter 7.6. --- Implications for the Next Study --- p.81 / Chapter Chapter 8. --- Study 3 Attentional Bias for Self-Stigmatizing Stimuli in Self-Stigmatizing Thinking Habit: Evidence from the Emotional Stroop Task --- p.82 / Chapter 8.1. --- Introduction --- p.82 / Chapter 8.2. --- Method --- p.83 / Chapter 8.2.1. --- Participants --- p.83 / Chapter 8.2.2. --- Procedure --- p.83 / Chapter 8.2.3. --- Measures --- p.83 / Chapter 8.2.3.1. --- Self-stigmatizing thinking habit --- p.83 / Chapter 8.2.3.2. --- Self-stigmatizing cognitive content --- p.84 / Chapter 8.2.3.3. --- Experiential avoidance --- p.84 / Chapter 8.2.3.4. --- Self-esteem --- p.84 / Chapter 8.2.3.5. --- Subjective quality of life --- p.84 / Chapter 8.2.3.6. --- Depression --- p.84 / Chapter 8.2.3.7. --- Emotional Stroop effects --- p.85 / Chapter 8.2.3.8. --- Cognitive Stroop effects --- p.87 / Chapter 8.2.4. --- Data analyses --- p.87 / Chapter 8.3. --- Power Calculation --- p.89 / Chapter 8.4. --- Results --- p.90 / Chapter 8.4.1. --- Participant characteristics --- p.90 / Chapter 8.4.2. --- Characteristics of participants in the strong and weak habit groups --- p.91 / Chapter 8.4.3. --- Emotional Stroop effects --- p.93 / Chapter 8.4.3.1. --- Response errors on the Emotional Stroop trials --- p.93 / Chapter 8.4.3.2. --- Response latencies on the Emotional Stroop trials --- p.93 / Chapter 8.4.4. --- Cognitive Stroop effects --- p.95 / Chapter 8.4.4.1. --- Response errors on the Cognitive Stroop trials --- p.95 / Chapter 8.4.4.2. --- Response latencies on the Cognitive Stroop trials --- p.95 / Chapter 8.4.5. --- Predictors of self-stigmatizing thinking habit --- p.96 / Chapter 8.4.6. --- The Mediating role of self-stigmatizing thinking habit on self-esteem and subjective quality of life --- p.97 / Chapter 8.5. --- Discussion --- p.97 / Chapter Chapter 9. --- General Discussion --- p.102 / Chapter 9.1. --- Theoretical Implications --- p.102 / Chapter 9.2. --- Clinical Implications --- p.104 / Chapter 9.3. --- Limitations and Call for Future Research --- p.106 / Chapter Chapter 10. --- Concluding Remarks --- p.109 / Appendix 1 --- p.110 / Appendix 2 --- p.111 / Appendix 3 --- p.118 / References --- p.119

In the light of a more punitive stance in Corrections and public discontent with the criminal justice system, a number of studies have been conducted since 1970 testing public punitiveness, probably in an attempt to determine whether sentences laid down by courts are in line with public perceptions on just deserts. This study combines two scales: The first a Likert scale measuring punitiveness as such and the second a "Just Deserts" scale testing public reactions in terms of imprisonment for crime descriptions. By using Pearson's correlation, no positive correlation could be established between these two scales. Profiles of the top and bottom 15% scorers on both scales showed that the scales were, if anything, negatively related. This information is informative in the sense that opinion polls showing public discontentment with sentencing cannot be seen as a true reflection of their reactions to more descriptive cases. / Penology / M.A. (Penology)