Relevant bibliographies by topics / Likert

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Likert'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Likert"

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Pye, Hayley, Saurabh Singh, Joseph M. Norris, Lina M. Carmona Echeverria, Vasilis Stavrinides, Alistair Grey, Eoin Dinneen, et al. "Evaluation of PSA and PSA Density in a Multiparametric Magnetic Resonance Imaging-Directed Diagnostic Pathway for Suspected Prostate Cancer: The INNOVATE Trial." Cancers 13, no. 8 (April 20, 2021): 1985. http://dx.doi.org/10.3390/cancers13081985.

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Objectives: To assess the clinical outcomes of mpMRI before biopsy and evaluate the space remaining for novel biomarkers. Methods: The INNOVATE study was set up to evaluate the validity of novel fluidic biomarkers in men with suspected prostate cancer who undergo pre-biopsy mpMRI. We report the characteristics of this clinical cohort, the distribution of clinical serum biomarkers, PSA and PSA density (PSAD), and compare the mpMRI Likert scoring system to the Prostate Imaging–Reporting and Data System v2.1 (PI-RADS) in men undergoing biopsy. Results: 340 men underwent mpMRI to evaluate suspected prostate cancer. 193/340 (57%) men had subsequent MRI-targeted prostate biopsy. Clinically significant prostate cancer (csigPCa), i.e., overall Gleason ≥ 3 + 4 of any length OR maximum cancer core length (MCCL) ≥4 mm of any grade including any 3 + 3, was found in 96/195 (49%) of biopsied patients. Median PSA (and PSAD) was 4.7 (0.20), 8.0 (0.17), and 9.7 (0.31) ng/mL (ng/mL/mL) in mpMRI scored Likert 3,4,5 respectively for men with csigPCa on biopsy. The space for novel biomarkers was shown to be within the group of men with mpMRI scored Likert3 (178/340) and 4 (70/350), in whom an additional of 40% (70/178) men with mpMRI-scored Likert3, and 37% (26/70) Likert4 could have been spared biopsy. PSAD is already considered clinically in this cohort to risk stratify patients for biopsy, despite this 67% (55/82) of men with mpMRI-scored Likert3, and 55% (36/65) Likert4, who underwent prostate biopsy had a PSAD below a clinical threshold of 0.15 (or 0.12 for men aged <50 years). Different thresholds of PSA and PSAD were assessed in mpMRI-scored Likert4 to predict csigPCa on biopsy, to achieve false negative levels of ≤5% the proportion of patients whom who test as above the threshold were unsuitably high at 86 and 92% of patients for PSAD and PSA respectively. When PSA was re tested in a sub cohort of men repeated PSAD showed its poor reproducibility with 43% (41/95) of patients being reclassified. After PI-RADS rescoring of the biopsied lesions, 66% (54/82) of the Likert3 lesions received a different PI-RADS score. Conclusions: The addition of simple biochemical and radiological markers (Likert and PSAD) facilitate the streamlining of the mpMRI-diagnostic pathway for suspected prostate cancer but there remains scope for improvement, in the introduction of novel biomarkers for risk assessment in Likert3 and 4 patients, future application of novel biomarkers tested in a Likert cohort would also require re-optimization around Likert3/PI-RADS2, as well as reproducibility testing.
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Kim, Kwangmin. "Likert Scale." Korean Journal of Family Medicine 32, no. 1 (2011): 1. http://dx.doi.org/10.4082/kjfm.2011.32.1.1.

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Stratton, Samuel J. "Likert Data." Prehospital and Disaster Medicine 33, no. 2 (March 28, 2018): 117–18. http://dx.doi.org/10.1017/s1049023x18000237.

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Emerson, Robert Wall. "Likert Scales." Journal of Visual Impairment & Blindness 111, no. 5 (September 2017): 488. http://dx.doi.org/10.1177/0145482x1711100511.

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Albaum, Gerald. "The Likert Scale Revisited." Market Research Society. Journal. 39, no. 2 (March 1997): 1–21. http://dx.doi.org/10.1177/147078539703900202.

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This study examined the effect of alternative scale formats on reporting of intensity of attitudes on Likert scales of agreement. A standard one-stage format and an alternate two-stage format were tested in three separate studies on samples of university students in three countries. In general the two-stage format generated the greatest percentage of extreme-position (i.e. most intense) responses across scales. A test of predictive ability showed that the two-stage format was a better predictor of product preferences. Underlying data structures did not differ much between the two.
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Duncan, Otis Dudley, and Magnus Stenbeck. "Are Likert scales unidimensional?" Social Science Research 16, no. 3 (September 1987): 245–59. http://dx.doi.org/10.1016/0049-089x(87)90003-2.

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Valencia Pomareda, Pedro Herbert. "ESTILOS GERENCIALES Y SATISFACCIÓN LABORAL." Gestión en el Tercer Milenio 17, no. 34 (December 29, 2014): 61–71. http://dx.doi.org/10.15381/gtm.v17i34.11695.

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Desde los experimentos de Howthorne, la administración continuó buscando la mejor manera de superar las relaciones que se tienen con los colaboradores. Es así que siendo el Liderazgo un elemento importante en la gestión estratégica, escogimos entre los muchos estilos de liderazgo el de Rensis Likert, por ser el más técnico y apropiado para logran con mayor efectividad el empowerment, estableciendo el grado de satisfacción que los estilos de Liderazgo de Liker buscan en nuestros colaboradores. Es por ello que buscamos conocer el nivel de satisfacción laboral que los estilos de liderazgo de Likert, logran a través de la teoría de Herzberg.
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Shiina, Kenpei. "Cursor movement in Likert ratings." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 3EV—046–3EV—046. http://dx.doi.org/10.4992/pacjpa.82.0_3ev-046.

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Joshi, Ankur, Saket Kale, Satish Chandel, and D. Pal. "Likert Scale: Explored and Explained." British Journal of Applied Science & Technology 7, no. 4 (January 10, 2015): 396–403. http://dx.doi.org/10.9734/bjast/2015/14975.

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Gritsch, Simone. "Die Likert-Skala – Meinungen abbilden." ergopraxis 5, no. 01 (January 2012): 16–17. http://dx.doi.org/10.1055/s-0031-1300814.

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Dissertations / Theses on the topic "Likert"

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Javaras, Kristin Nicole. "Statistical analysis of Likert data on attitudes." Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:50754d97-86c2-433d-96b0-319787ece3e5.

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Researchers interested in measuring people's underlying attitudes towards an object (e.g., abortion) often collect Likert data by administering a survey. Likert data consist of surveyees' responses to statements about the object, where responses fall into ordered categories running from `Strongly agree' to `Strongly disagree' or into a `Don't Know / Can't Choose' category. Two examples of Likert data are used for illustrative purposes. The first dataset was collected by the author from American and British graduate students at Oxford University and contains items measuring underlying abortion attitudes. The second dataset was taken from British and American responses to the 1995 National Identity Survey (NIS) and contains items measuring underlying national pride and immigration attitudes. A model for Likert data and underlying attitudes is introduced. This model is more principled than existing models. It treats people's underlying attitudes as latent variables, and it specifies a relationship between underlying attitudes and responses that is consistent with attitudinal research. Further, the formal probability model for responses allows people's interpretation of the response categories to differ. The model is fitted by maximising an appropriate likelihood. Variants of the model are used to analyse Likert data in three contexts; in each, the method using our model compares favourably to existing methods. First, the model is used to visualise the structure underlying the abortion attitude data. This method of visualization produces more sensible plots than analogous multivariate data visualization methods. Second, the model is used to select the statements whose responses (in the abortion attitude data) best reflect underlying abortion attitudes. Our method of statement selection more closely adheres to attitude researchers' stated aims than popular methods based on sample correlations. Third, the model is used to investigate how underlying national pride varies with nationality in the NIS data and also how underlying abortion attitude varies with gender, religious status, and nationality in the abortion attitude data. Unlike methods currently used by social scientists to model the relationship between attitudes and covariates, our method controls for the effects of differing response category interpretation. As a result, inferences about group differences in underlying attitudes are more robust to group differences in response category interpretation.
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Bank, Volker, and Sam F. Schaal. "Zum Einsatz von Likert-Skalen im betrieblichen Bildungscontrolling." Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-60888.

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Der Bereich des Controllings betrieblicher Qualifikation und Bildung stellt die Controller vor erhebliche, z.T. unlösbare Probleme: Fast alles, was die Steuerung betrieblichen Lernens anbetrifft, bezieht sich auf nur schwer meßbare latente Größen. In diesem Beitrag soll die methodologische Problematik in einem zentralen Bereich der Steuerung von Maßnahmen betrieblichen Lernens angegangen werden: die Bedarfsanalyse. Zur rationalen Steuerung betrieblicher (Weiter-)Bildung ist die Ermittlung des tatsächlich vorhandenen Bildungsbedarfs unerläßlich. Nur so kann das Kriterium der Wirtschaftlichkeit von (Weiter-)Bildungsmaßnahmen erfüllt werden. Es wird dafür die Nutzung des Verfahrens der summierten Einschätzungen nach Rensis Likert (sogenannte Likert-Skalen) zur Lösung des zugrundeliegenden Meßproblems untersucht. Der Artikel liefert einen methodischen Beitrag zur Operationalisierung und Messung des Weiterbildungsbedarfs und skizziert Ansatzpunkte für weitere Forschung, um eine Anwendung in der betrieblichen Praxis zu ermöglichen.
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Lu, Lee-Hsing. "The readiness and willingness in China for OD change a mixed method study of Chinese management /." online access from Digital Dissertation Consortium access full-text, 2005. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3180740.

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Saho, Muhammed. "A Visualization Technique for Course Evaluations and Other Likert Scale Data." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28729.

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Course evaluation is one of the primary ways of collecting feedback from students at NDSU. Since almost every student in every course submits one at the end of the semester, it generates a lot of data. The data is summarized into text based reports with emphasis on average rating of each question. At one page per course, analyzing these reports can be overwhelming. Furthermore, it is very difficult to identify patterns in the text reports. We combine heat maps and small multiples to introduce a visualization of the data that allows for easier comparison between courses, departments, etc. We defined a data format for storing and transmitting the data. We built an interactive web application that consumes the aforementioned data format and generates the visualizations. We simulated reference data to facilitate interpretation of the visualizations. Finally, we discussed how our research can be applied more generally to Likert scale data.
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Montes, Antônio da Conceição. "Modelo alternativo para diagnóstico do clima organizacional em instituições de ensino." Universidade Federal do Amazonas, 2015. http://tede.ufam.edu.br/handle/tede/5151.

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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Although belonging to the same social system, governmental and commercial organizations, among others, possess different internal environments and behaviors. Teaching institution, for example, It differs from other organizations, not only in architecture but also in the internal climate and culture. This study aims, verify and discuss an appropriate questionnaire model to evaluate the organizational climate in higher education institutions. The assessment of this instrument is focused on ease of understanding of the items by the respondents, proposed based on the synthesis of some of the instruments already used to evaluate the organizational climate to measure the organizational climate to effectively assess such a climate in secondary education institutions, allowing for swifter analysis, interpretations and diagnostics of data obtained through this method without compromising quality, effectiveness or relevance of results. Based on the literature review, different models measuring organizational climate were observed, each analyzing the dimensions associated with determined properties of the specific organization to be studied. The presented instrument is based on the characteristics of the work context for which it was created and responds to the lack of tools that allow for simple evaluation of the specific climate of teaching institutions. In conclusion, the climate was acknowledged as a construct of considerable interest within the research field of Organizational Behavior, predominantly as a result of its demonstrable influence over organizational effectiveness. Key
Embora pertençam a um mesmo sistema social, as organizações governamentais e comerciais, entre outras, possuem comportamentos e ambientes internos diferentes. As instituições de ensino, por exemplo, diferem das outras organizações, não só na arquitetura, mas também no clima interno e na cultura. O presente trabalho tem como objetivo, verificar e discutir um modelo de questionário adequado para avaliação do clima organizacional em instituições de Ensino Superior. A avaliação deste instrumento é focada na facilidade de compreensão dos itens por parte dos entrevistados, proposto com base na síntese de alguns dos instrumentos já utilizados para avaliação do clima organizacional para aferir o clima organizacional em uma instituição de ensino superior de maneira eficiente, proporcionando maior rapidez na interpretação, análise e diagnóstico dos dados obtidos por meio deste instrumento sem comprometer a qualidade, eficácia e relevância dos resultados. Com base na revisão da literatura, foram observados diferentes modelos para medir o clima organizacional e cada um analisa as dimensões associadas com determinadas propriedades da organização específica a ser estudada. O instrumento apresentado baseia-se nas características do contexto de trabalho para o qual foi criado e responde à falta de instrumentos que permitam avaliar de forma simples o clima especifico de instituições de ensino. Em resumo, o clima foi estabelecido como uma construção de considerável interesse dentro do campo da pesquisa de comportamento organizacional, predominantemente como resultado de sua influência demonstrável sobre a eficácia organizacional.
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Ramalho, Jose Amauri. "Uma tentativa de utilizar o perfil organizacional de Likert (LOP) como instrumento de avaliação dos departamentos da universidade brasileira." reponame:Repositório Institucional do FGV, 1988. http://hdl.handle.net/10438/9497.

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The objective of this dissertation was to use Likert's mode1 (measuring the causal, intervening and resu1t variab1es) in all the departments of Universidade Federal do Espírito Santo. This initiative arose from the purpose of obtaining the manegerial outline of the departments as well as their performance (measuring the result variables). Having the measuring of the three groups of variables (causal, intervening and of result), it was possib1e to compare the fifty departments chosen for the research. In a general way, the purpose of the dissertation was primari1y to give emphasis to the study, including its objectives and importance and finally, to its organization (chapter 1). Later, it was decided to have a wide view of the organizationa1 theory, trying to emphasize the four great trends. Following this, it was introduced Likert's with a11 its specifications (chapter 2). model As for the third step, it was decided organization of the dissertation would start description and sample of the population, data that the with the estimate, field work and data analysis. Finally, it was given emphasis to the countless limitations of the research (chapter 3). Before the beginning of the presentation and ana1ysis of the results, there was a need to have a historical retrospective of the structure of the Universidade Federal do Espírito Santo whose purpose was to search its origins and facilitate the understanding of the analysis (chapter 4). As a last step, it was attempted to give an account of all the conclusive facts originated use of Likert's model in all the departments of from the Universidade Federal do Espírito Santo. At this point, it became evident the necessity of the University to maximize all its resources (chapter 5).
Este trabalho teve o prof5sito de utilizar o Modelo de Likert (mensuração das variáveis causais, intervenientes e de resultado) nos Departamentos da Universidade Federal do Espirito Santo. Esta iniciativa decorreu da intenção de obter o perfil administrativo dos Departamentos, bem como de seu respectivo desempenho (mensuração das variáveis de resultado). De posse das mensurações dos três grupos de variáveis (causais, intervenientes e de resultado), pôde-se efetuar comparações dos 50 Departamentos objeto de pesquisa. preliminarmente, procurou-se de maneira bastante abrangente enfatizar o estudo, seus objetivos, importância e, finalmente, a organização do trabalho (Capitulo 1). Na segunda etapa, proporcionou-se uma ampla visão da teoria organizacional, procurando salientar as quatro grandes correntes. A seguir, apresentou-se o Modelo de Likert com todas as suas especificidades (Capitulo 2). Com relação a terceira etapa, foi estabelecida toda a operacionalização do trabalho, iniciando com a definição da população e amostra, passando pela coleta de da- \ dos, trabalho de campo, análise dos dados e, finalmente, enfatizando as inúmeras limitações da pesquisa (Capitulo 3). No tocante a quarta etapa, antes de iniciar a apresentação e análise dos resultados, fez-se uma retrospectiva histórica da estrutura da Universidade Federal do Espirito Santo, com o intuito de buscar suas origens e facilitar o entendimento da análise (Capítulo 4). Finalmente, na quinta etapa, procurou-se registrar todos os pontos conclusivos decorrentes da utilização do Modelo de Likert junto aos Departamentos da Universidade Federal do Espírito Santo. Neste capitulo, ficou evidenciada, sobretudo, a necessidade de a Universidade procurar otimizar seus recursos (Capítulo 5).
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Valencia, Pomareda Pedro Herbert Jaime. "Estilos gerenciales y satisfacción laboral." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2008. https://hdl.handle.net/20.500.12672/414.

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La gestión de personas se ha convertido hoy en día en un tema estratégico para la competitividad de los negocios. La función de personal que antes se abocaba únicamente a aspectos de control administrativo adquiere actualmente nuevas dimensiones y desafíos muy vinculados a la búsqueda de nuevas oportunidades para el éxito en la gestión del negocio y a la obtención de resultados. Gestionar personas se constituye hoy en día en uno de los aspectos clave de la función gerencial. Si los gerentes modernos cuentan con equipos humanos de alta eficiencia que posean además adecuados niveles de motivación y compromiso con su institución, existirán mayores posibilidades de efectuar delegación de funciones a personal competente y motivado a desarrollar un trabajo y brindar un servicio de calidad. Esto conduce además a que los gerentes liberen tiempo para diseñar y ejecutar nuevos planes y estrategias de desarrollo institucional. Uno de los aspectos clave en la gestión de personas en las instituciones modernas es el manejo de un estilo adecuado de liderazgo. Este tema muchas veces ha permanecido ignorado o soslayado debido a que los propios gerentes no conocían su existencia y mucho menos que era un manejo importante para facilitar y optimizar su gestión. Los estilos gerenciales han sido estudiados por varios autores, destacando entre ellos Rensis Likert quien establece la existencia de cuatro sistemas de liderazgo, cada uno con sus respectivos indicadores y resultados de efectividad.
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Almeida, Clícia Rejane de. "Aplicação do pacote computacional SPSS em pequisa de opinião utilizando escala de Likert." Universidade de Taubaté, 2016. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=864.

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A pesquisa de opinião tem um papel importante dentro da Engenharia de Produção, para o auxilio da confiabilidade da pesquisa é necessário ferramentas que sejam capazes de medir e trazer resultados de confiança. No presente estudo buscou-se apresentar a melhor forma da criação de um questionário com a utilização de uma escala confiável e conseqüentemente usar o pacote estatístico computacional SPSS para avaliar o caso. A Escala de Likert, utilizada para o questionário, é uma abordagem de resposta que mede a extensão de satisfação com um conjunto de instruções e perguntas realizadas através do questionário, este tipo de categoria de resposta faz com que seja fácil de quantificar, simplificando a análise de dados. Com a utilização do softwares o SPSS pode demonstrar que mesmo as pessoas pouco familiarizadas com softwares o SPSS pode auxiliar para tabulação e análise dos dados, pois sua plataforma é auto interativa e com resultados confiáveis.
The opinion survey has an important role within Production Engineeringor the help of the search reliability is necessary tools to be able to measure and bring reliable results. In the present study we sought to present the best way of creating a questionnaire using a reliable scale and therefore use the computer SPSS to evaluate the case. The Likert scale used for the questionnaire is a response approach to measuring the extent of satisfaction with a set of instructions and questions asked in the questionnaire, this type of response category makes it easy to quantify, simplifying the analysis data. Using the software SPSS can demonstrate that even people unfamiliar with SPSS software can help for tabulation and analysis of data because its platform is self interactive and reliable results.
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Valencia, Pomareda Pedro Herbert Jaime, and Pomareda Pedro Herbert Jaime Valencia. "Estilos gerenciales y satisfacción laboral." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2008. http://cybertesis.unmsm.edu.pe/handle/cybertesis/414.

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La gestión de personas se ha convertido hoy en día en un tema estratégico para la competitividad de los negocios. La función de personal que antes se abocaba únicamente a aspectos de control administrativo adquiere actualmente nuevas dimensiones y desafíos muy vinculados a la búsqueda de nuevas oportunidades para el éxito en la gestión del negocio y a la obtención de resultados. Gestionar personas se constituye hoy en día en uno de los aspectos clave de la función gerencial. Si los gerentes modernos cuentan con equipos humanos de alta eficiencia que posean además adecuados niveles de motivación y compromiso con su institución, existirán mayores posibilidades de efectuar delegación de funciones a personal competente y motivado a desarrollar un trabajo y brindar un servicio de calidad. Esto conduce además a que los gerentes liberen tiempo para diseñar y ejecutar nuevos planes y estrategias de desarrollo institucional. Uno de los aspectos clave en la gestión de personas en las instituciones modernas es el manejo de un estilo adecuado de liderazgo. Este tema muchas veces ha permanecido ignorado o soslayado debido a que los propios gerentes no conocían su existencia y mucho menos que era un manejo importante para facilitar y optimizar su gestión. Los estilos gerenciales han sido estudiados por varios autores, destacando entre ellos Rensis Likert quien establece la existencia de cuatro sistemas de liderazgo, cada uno con sus respectivos indicadores y resultados de efectividad.
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Shulruf, Boaz. "The influence of individualist and collectivist attributes on responses to Likert-type scales." Thesis, University of Auckland, 2005. http://wwwlib.umi.com/dissertations/fullcit/3175087.

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Collectivism and individualism are culturally-related psychological structures which have been used to distinguish people within and across various societies. From a review of the literature, it is argued that the most salient feature of individualism is valuing personal independence, which includes self-knowledge, uniqueness, privacy, clear communication, and competitiveness. Collectivism is associated with a strong sense of duty to group, relatedness to others, seeking others' advice, harmony, and working with the group. The purpose of the thesis is to explore how collectivist and individualist attributes affect the way people respond to Likert-type questionnaires. In the first study, a new measurement tool for individualism and collectivism was developed to address critical methodological issues in this field of cross-cultural psychology. This new measure the “Auckland Individualism and Collectivism Scale” defined three dimensions of individualism: (a) Responsibility (acknowledging one's responsibility for one's actions), (b) Uniqueness (distinction of the self from the other) and (c) Compete (striving for personal goals is one's prime interest); and two dimensions of collectivism: (d) Advice (seeking advice from people close to one, before taking decisions), and (e) Harmony (seeking to avoid conflict). The AICS avoids the need for measuring horizontal and vertical dimensions of collectivism and individualism, and the confounding effect of familialism on the collectivism-individualism constructs. The second study investigated the relationship between collectivism and individualism and various response sets that have been reported relating to the way in which individuals respond to Likert-type scales. Using structural equation modelling, the Collectivism-Individualism Model of Response Bias was developed. This model suggests two types of response sets: (a) the Impression-Response Bias which includes response sets such as social desirability and context, that affect the first four stages of responding to questions, namely receiving and retrieving data and making decisions; and (b) the Expression-Response Bias which includes response sets such as the extreme response set and the neutral response set that relate to the application of the responses, namely the actual answer chosen by the respondent. Collectivism is negatively correlated with context and with self deception enhancement whereas individualism is positively correlated with context and self deception enhancement and impression management. Context is positively correlated with extreme response set and negatively correlated with neutral response set. The Collectivism-Individualism Model of Response Bias suggests that collectivist and individualist attributes directly affect the Impression-Response Bias response sets and indirectly affect the Expression-Response Bias response sets. It was concluded that attributes of collectivism and individualism affect the decision made by the respondents and therefore lead to different responses to Likert-type questionnaires. Nevertheless, the effect of collectivism and individualism on the magnitude of the responses would be limited as it is mediated by the Impression-Response Bias response set.
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Books on the topic "Likert"

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Attitüden und "Pseudoattitüden": Konsistenztheoretische Analysen des Attitüdenkonzepts und ein empirischer Beitrag zur Konstruktion eines individuellen Konsistenzkoeffizienten für Likert-Skalen mit einer Anwendung auf die Hypothese der Elaboration von Attitüden aus Anlass ihrer Messung. Frankfurt am Main: P. Lang, 1986.

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Gasperoni, Giancarlo, and Marradi Alberto. Costruire il dato. Milano: F. Angeli, 2002.

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Ḥasan, ʻAbd al-Munʻim Aḥmad. Iʻdād miqyās ʻalá ṭarīqat Līkirt li-ittijāh muʻallimī al-ʻulūm al-bayūlūjīyah qabla al-khidmah naḥwa tadrīs al-taṭawwur al-ʻuḍwī. [Tanta, Egypt]: Kullīyat al-Tarbiyah, Jāmiʻat Ṭanṭā, 1985.

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Schulz, E. Matthew. Controlling for rater effects when comparing survey items with incomplete Likert data. Iowa City, Iowa: ACT, Inc., 2001.

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Singh, Jagdip. Adaptive designs for Likert-type data: An approach for implementing marketing surveys. Cambridge, Mass: Marketing Science Institute, 1990.

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Singh, Jagdip. Adaptive designs for Likert-like data: An approach for implementing marketing surveys. Cambridge (Mass.): Marketing Science Institute, 1990.

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Singh, Jagdip. Field experiments with uni- and multi-inventory adaptive survey designs for Likert-type data. Cambridge, Mass: Marketing Science Institute, 1998.

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Singh, Jagdip. Field experiments with uni- and multi-inventory adaptive survey designs for Likert-type data. Cambridge, Mass: Marketing Science Institute, 1998.

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Davies, Bethan. THE ATTITUDES OF ADOLESCENT GIRLS AS MEASURED BY THE LIKERT SCALE TOWARDS PHYSICAL EDUCATION IN A BI-LINGUAL COMPREHENSIVE SCHOOL. Cardiff: S.G.I.H.E., 1986.

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Xanthoulis, Giannis. To Pethameno Liker. Athens: Kastaniotis, 1998.

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Book chapters on the topic "Likert"

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Rothman, Alexander J. "Likert scale." In Encyclopedia of psychology, Vol. 5., 57–58. Washington: American Psychological Association, 2000. http://dx.doi.org/10.1037/10520-022.

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Robinson, John. "Likert Scale." In Encyclopedia of Quality of Life and Well-Being Research, 3620–21. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1654.

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Yamashita, Takashi, and Roberto J. Millar. "Likert Scale." In Encyclopedia of Gerontology and Population Aging, 1–3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_559-1.

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Nahler, Gerhard. "Likert scale." In Dictionary of Pharmaceutical Medicine, 106. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_787.

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Bond, Trevor G., Zi Yan, and Moritz Heene. "Measurement Using Likert Scales." In Applying the Rasch Model, 96–123. Fourth edition. | New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429030499-6.

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Phakiti, Aek. "Likert-Type Scale Construction." In The Routledge Handbook of Second Language Acquisition and Language Testing, 102–14. New York: Routledge, 2020. | Series: The Routledge handbooks in second language acquisition: Routledge, 2020. http://dx.doi.org/10.4324/9781351034784-12.

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Vogel, Carl, Maria Koutsombogera, and Rachel Costello. "Analyzing Likert Scale Inter-annotator Disagreement." In Neural Approaches to Dynamics of Signal Exchanges, 383–93. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8950-4_34.

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Gil, María Ángeles, and Gil González-Rodríguez. "Fuzzy vs. Likert Scale in Statistics." In Combining Experimentation and Theory, 407–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24666-1_27.

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Chow, Joseph. "Comparing Students’ Citizenship Concepts with Likert-Scale." In Pacific Rim Objective Measurement Symposium (PROMS) 2012 Conference Proceeding, 241–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37592-7_17.

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Kriksciuniene, Dalia, Virgilijus Sakalauskas, and Roman Lewandowski. "Evaluating the Interdependent Effect for Likert Scale Items." In Business Information Systems Workshops, 26–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36691-9_3.

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Conference papers on the topic "Likert"

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Kaptein, Maurits Clemens, Clifford Nass, and Panos Markopoulos. "Powerful and consistent analysis of likert-type ratingscales." In the 28th international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1753326.1753686.

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Hornbeck, Haysn, and Usman Alim. "UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Likert Scales." In 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2019. http://dx.doi.org/10.1109/vast47406.2019.8986935.

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Reeves, Brent N. "Zing'Em: a Web-based Likert-scale Student-Team Peer Evaluation Tool." In Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icalt.2007.287.

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Liu, Zun-xiong, and Hao Chen. "Power analysis for testing two independent groups of likert-type data." In 2015 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iccsae-15.2016.8.

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Cai, M. Y., Y. Lin, and W. J. Zhang. "Study of the optimal number of rating bars in the likert scale." In iiWAS '16: 18th International Conference on Information Integration and Web-based Applications and Services. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3011141.3011213.

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Hsu, C. F., B. Chang, and H. F. Hung. "Applying SVM to build supplier evaluation model - comparing likert scale and fuzzy scale." In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2007. http://dx.doi.org/10.1109/ieem.2007.4419140.

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Kallas, Zein. "BUTCHERS' PREFERENCES FOR RABBIT MEAT; AHP PAIRWISE COMPARISONS VERSUS A LIKERT SCALE VALUATION." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2011. http://dx.doi.org/10.13033/isahp.y2011.025.

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Stewart, Brent K., Stephen J. Carter, Steven G. Langer, and Rex K. Andrew. "Compressed ultrasound video image-quality evaluation using a Likert scale and Kappa statistical analysis." In Medical Imaging '98, edited by Yongmin Kim and Seong K. Mun. SPIE, 1998. http://dx.doi.org/10.1117/12.312513.

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Liang, Weixin, James Zou, and Zhou Yu. "Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.126.

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MONALIZA CABRAL COUTO, NAIRA, JOAO ROBERTO RATIS TENORIO DA SILVA, and José Euzebio Simões Neto. "Utilização de uma Escala Likert para Mapeamento de Zonas do Perfil Conceitual de Substância." In 20º Encontro Nacional de Ensino de Química. Recife, Pernambuco: Even3, 2021. http://dx.doi.org/10.29327/eneqpe2020.247844.

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Reports on the topic "Likert"

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Sanz, E., P. Alonso, B. Haidar, H. Ghaemi, and L. García. Key performance indicators (KPIs). Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.002.

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The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository.
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Bridges, Katherine. 50+ Likely Voters in Arizona. Washington, DC: AARP Research, September 2020. http://dx.doi.org/10.26419/res.00401.001.

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Bridges, Katherine. 50+ Likely Voters in Florida. Washington, DC: AARP Research, September 2020. http://dx.doi.org/10.26419/res.00401.003.

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Bridges, Katherine. 50+ Likely Voters in Michigan. Washington, DC: AARP Research, September 2020. http://dx.doi.org/10.26419/res.00401.005.

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Lampkin, Cheryl. 2019 Prescription Drug Survey: Likely Voters. AARP Research, March 2019. http://dx.doi.org/10.26419/res.00295.001.

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Bridges, Katherine. 50+ Likely Voters in North Carolina. Washington, DC: AARP Research, September 2020. http://dx.doi.org/10.26419/res.00401.007.

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Bridges, Katherine. 50+ Likely Voters in Pennsylvania: September. Washington, DC: AARP Research, October 2020. http://dx.doi.org/10.26419/res.00401.009.

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Bridges, Katherine. 50+ Likely Voters in Wisconsin: September. Washington, DC: AARP Research, October 2020. http://dx.doi.org/10.26419/res.00401.011.

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Bridges, Katherine. 50+ Likely Voters in Pennsylvania: October. Washington, DC: AARP Research, October 2020. http://dx.doi.org/10.26419/res.00401.025.

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Bridges, Katherine. 50+ Likely Voters in Wisconsin: October. Washington, DC: AARP Research, October 2020. http://dx.doi.org/10.26419/res.00401.027.

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