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| composite variable spss: Applied Statistics Andrew R. Timming, 2022-05-13 Written for the non-mathematician and free of unexplained technical jargon, Applied Statistics: Business and Management Research provides a user-friendly introduction to the field of applied statistics and data analysis. Featuring step-by-step explanations of how to carry out successful quantitative research, and supported by examples from IBM® SPSS® Statistics, this textbook is an essential resource for students and researchers of business and management. A range of online resources for both students and lecturers, including a teaching guide, PowerPoint slides and datasets, are available via the companion website. Andrew R. Timming is Professor of Human Resource Management and Deputy Dean Research & Innovation in the School of Management at RMIT University, Australia. |
| composite variable spss: Applied Structural Equation Modeling using AMOS Joel Collier, 2020-05-25 This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences. |
| composite variable spss: Applied Multivariate Research Lawrence S. Meyers, Glenn Gamst, A.J. Guarino, 2016-10-28 Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis. |
| composite variable spss: Essential First Steps to Data Analysis Carol S. Parke, 2012-12-13 Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the story of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis. |
| composite variable spss: Data Analysis and Related Applications 4 Yiannis Dimotikalis, Christos H. Skiadas, 2024-09-06 |
| composite variable spss: Applied Statistics II Rebecca M. Warner, 2020-01-14 Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based on chapters from the second half of the original book. The text begins with two new chapters: an introduction to the new statistics, and a chapter on handling outliers and missing values. All chapters on statistical control and multivariable or multivariate analyses from the previous edition are retained (with the moderation chapter heavily revised) and new chapters have been added on structural equation modeling, repeated measures, and on additional statistical techniques. Each chapter includes a complete example, and begins by considering the types of research questions that chapter’s technique can answer, progresses to data screening, and provides screen shots of SPSS menu selections and output, and concludes with sample results sections. By-hand computation is used, where possible, to show how elements of the output are related to each other, and to obtain confidence interval and effect size information when SPSS does not provide this. Datasets are available on the accompanying website. Bundle and Save Applied Statistics II + Applied Statistics I: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques + Applied Statistics II Bundle ISBN: 978-1-0718-3618-7 |
| composite variable spss: Quantitative and Statistical Research Methods William E. Martin, Krista D. Bridgmon, 2012-07-09 Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects. |
| composite variable spss: Applied Statistics: From Bivariate Through Multivariate Techniques Rebecca M. Warner, 2013 Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions. |
| composite variable spss: A Guide to Doing Statistics in Second Language Research Using SPSS Jenifer Larson-Hall, 2009-09-10 This valuable book shows second language researchers how to use the statistical program SPSS to conduct statistical tests frequently done in SLA research. Using data sets from real SLA studies, A Guide to Doing Statistics in Second Language Research Using SPSS shows newcomers to both statistics and SPSS how to generate descriptive statistics, how to choose a statistical test, and how to conduct and interpret a variety of basic statistical tests. It covers the statistical tests that are most commonly used in second language research, including chi-square, t-tests, correlation, multiple regression, ANOVA and non-parametric analogs to these tests. The text is abundantly illustrated with graphs and tables depicting actual data sets, and exercises throughout the book help readers understand concepts (such as the difference between independent and dependent variables) and work out statistical analyses. Answers to all exercises are provided on the book’s companion website, along with sample data sets and other supplementary material. |
| composite variable spss: Advanced and Multivariate Statistical Methods for Social Science Research Soleman H. Abu-Bader, 2010-06 Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses. Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussion of how to utilize SPSS to run each test, read its output, interpret, and write the results. Advanced & Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education. Electronic database files are available for student and instructor use.http: //lyceumbooks.com/StudentResources.htm |
| composite variable spss: Student Engagement and the Academic Library Loanne Snavely, 2012-07-19 Explore exciting programs and initiatives that can both engage undergraduate students with academic libraries and assist academic librarians in creating a vibrant library atmosphere. In spite of the doom and gloom predicted in the press for the future of libraries, these institutions aren't at the top of the endangered species list just yet. Librarians who are focusing significant attention and staffing resources on undergraduates—and are thinking creatively about what engages this specific group of students—are forging the future for academic libraries. Student Engagement and the Academic Library explores how initiatives that involve high impact educational practices and other creative programs can effectively engage undergraduate students with academic libraries. The methodologies described in this work serve to draw students in and make their learning meaningful, both through curricular initiatives as well as through co-curricular and self-initiated activities, disciplinary initiatives, and partnerships across the university. This book will benefit any librarian seeking to further engage their college-age student populations, and will be especially helpful to libraries that are struggling to establish their programs and initiatives with today's students. |
| composite variable spss: Analyzing Social Science Data D. A. De Vaus, 2002-09-17 David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. |
| composite variable spss: Multilevel Modeling Steven P. Reise, Naihua Duan, 2003-01-30 This book appeals to researchers who work with nested data structures or repeated measures data, including biomed & health researchers, clinical/intervention researchers and developmental & educational psychologists. Also some potential as a grad lvl tex |
| composite variable spss: First Follow-up , 1992 |
| composite variable spss: Condition or Process? Researching Race in Education Adrienne D. Dixon, Gloria J. Ladson-Billings, Cecilia E. Suarez, William T. Trent, James D. Anderson, 2021-01-18 The question of why we need to think about how we research race demands a conceptualization of race that captures both its social construction and its temporal evolution. We need both an understanding of race and clarity about how we talk about it in our design and conduct of research, and in how we interpret and apply it in our findings. As a field, we can use research on race and racism in education to help construct social change. Our purpose with this volume is to underscore the persistence of the discriminatory actions—processes—and the normalization of the use of race (and class)—conditions—to justify the existing and growing disparity between the quality of life and opportunity for middle-class and more affluent Whites and that for people of color and people of color who live in poverty. As editors of this volume, we wonder what more we could learn and understand about the process and condition of race if we dare to ask bold questions about race and racism and commit to methods and analyses that respect the experiences and knowledges of our research participants and partners. |
| composite variable spss: Designing and Conducting Your First Interview Project Bruce K. Friesen, 2010-04-20 Designing and Conducting Your First Interview Project Using a clear, easily followed approach, Designing and Conducting Your First Interview Project helps anyone new to the process develop the skills to conduct the most essential part of social research data collection: the interview. The book also shows how to organize, analyze, and interpret the data. This workbook provides a step-by-step template for a collaborative class experience in social science. Organized according to the steps of the deductive scientific method, it includes essential activities to take place during class after the appropriate chapter has been read. The book begins with the process of choosing a topic and proceeds through hypothesis development, interview data collection, data entry using SPSS, and elementary data analysis. The final chapter includes the formal assignment and instructions to students on how to write about their experiences in a way that will produce an excellent final paper. By selecting the hypothesis, gathering the data, and analyzing the results, students will gain an appreciation for the strengths and potential weaknesses of knowing things through doing quantitative social science. |
| composite variable spss: The Relationship between Expatriation and Career Success Hanna Sophie Simmons, 2017-03-27 Experts are progressively discovering the crucial role of globally mobile talent in today’s competitive business environment and have called the task of securing and retaining these employees the greatest international human resource challenge to date. While many employees willingly accept international work assignments believing in a positive impact on their careers, high-quality research on global mobility and career success is lacking, leaving thousands of ambitious individuals at risk of making shortsighted career decisions. Providing empirical research in this field to better inform employees, employers, human resource practitioners, fellow researchers and academics lies at the core of this work. |
| composite variable spss: Right-Wing Media’s Neurocognitive and Societal Effects Rodolfo Leyva, 2023-07-31 This book empirically tests, compares, and explains the effects of British and American legacy conservative press and far-right websites, on accordant political views and behavioural intentions. Correspondingly, the 2016 Brexit Referendum and American Presidential election results are often attributed to the spread of fake news through social media, Russian Bots, and alt-right news websites. This has raised concerns about the impact of digital disinformation on democracy, as well as the rise of nativist parties and movements worldwide. However, this book argues that these causal attributions are largely based on unproven assumptions and deflect attention from the more influential and harmful role of traditional conservative media. To support this argument, Leyva incorporates insights from various fields such as neurocognitive science, media-communication research, cross-cultural psychology, and sociology. Additionally, the book presents primary evidence from a series of experiments that examined the effects of candidate-related fake news and immigration coverage from both old and new media right-wing sources. These experiments focused on how such content influences anti-immigrant attitudes and voter preferences. By doing so, the book provides a nuanced and robustly tested theoretical account of how right-wing media affects political beliefs, sentiments, and practices at the neuronal level, and of how this can in turn negatively impact democratic multicultural societies. Given its interdisciplinary approach, this book will be of interest to scholars in the social, behavioural, and cognitive sciences who are studying media psychology, online misinformation, authoritarian populism, political sociology, new media, and journalism. |
| composite variable spss: Social Contexts of Tribal Education Vimal P. Shah, Tara Patel, 1985 Report of a survey conducted in selected villages in Gujarat. |
| composite variable spss: Moving the Needle on Children’s Physical Activity – How to Best Promote More Movement? Mirko Brandes , Jennifer Sacheck, 2024-07-24 Globally, physical inactivity is on the rise in most countries, and according to the WHO, it is considered one of the leading major public health risks. As children’s physical activity behaviors are conveyed into adulthood, many interventions focus on establishing healthy physical activity habits in children to prevent the potential negative health outcomes associated with low physical activity over the life course. The school environment provides an opportunity to reach the majority of children, however, physical activity promotion in schools can often be a challenge. Barriers to the success of physical activity interventions include the physical, social and economic environment, competencies, and workload of teachers, as well as the perception that physical activity may interfere with the primary task of schools, which is education. Moreover, the evaluation of physical activity interventions for children is challenging, raising a discussion on how to best evaluate these interventions. |
| composite variable spss: Making Sense of Factor Analysis Marjorie A. Pett, Nancy R. Lackey, John J. Sullivan, 2003-03-21 Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. |
| composite variable spss: Predictive HR Analytics Dr Martin R. Edwards, Kirsten Edwards, Daisung Jang, 2024-06-03 This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data. The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques. Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets. |
| composite variable spss: Fuzzy Expert Systems for Disease Diagnosis Kumar, A.V. Senthil, 2014-11-30 The development of fuzzy expert systems has provided new opportunities for problem solving amidst uncertainties. The medical field, in particular, has benefitted tremendously from advancing fuzzy system technologies. Fuzzy Expert Systems for Disease Diagnosis highlights the latest research and developments in fuzzy rule-based methods used in the detection of medical complications and illness. Offering emerging solutions and practical applications, this timely publication is designed for use by researchers, academicians, and students, as well as practitioners in the medical field. |
| composite variable spss: Essentials of Business Research Methods Joseph F. Hair, Jr, Mary Wolfinbarger, Arthur H Money, Phillip Samouel, Michael J Page, 2015-03-04 Managers increasingly must make decisions based on almost unlimited information. How can they navigate and organize this vast amount of data? Essentials of Business Research Methods provides research techniques for people who aren't data analysts. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make clear business decisions. They include such critical topics as the increasing role of online research, ethical issues, data mining, customer relationship management, and how to conduct information-gathering activities more effectively in a rapidly changing business environment. This is the only such book that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive and much easier to understand than in other works. The book features a realistic continuing case throughout the text that enables students to see how business research information is used in the real world. It includes applied research examples in all chapters, as well as Ethical Dilemma mini - cases, and interactive Internet applications and exercises. |
| composite variable spss: Understanding Psychological Bonds between Individuals and Organizations S. Fuchs, 2012-08-29 In Understanding Psychological Bonds between Individuals and Organizations the author integrates different theoretical perspectives on how individuals form deep, meaningful, and self-defining relationships with their employing organization and proposes a novel and comprehensive take on key triggers and processes associated with such relationships. |
| composite variable spss: Quantitative Research Methods in Communication Erica Scharrer, Srividya Ramasubramanian, 2021-05-13 This textbook is an advanced introduction to quantitative methods for students in communication and allied social science disciplines that focuses on why and how to conduct research that contributes to social justice. Today’s researchers are inspired by the potential for scholarship to make a difference for society, to push toward more just and equitable ends, and to engage in dialogue with members of the public so that they can make decisions about how to navigate the social, cultural, and political world equipped with accurate, fair, and up-to-date knowledge. This book illustrates the mechanics and the meaning behind quantitative research methods by illustrating each step in the research design process with research addressing questions of social justice. It provides practical guidance for researchers who wish to engage in the transformation of structures, practices, and understandings in society through community and civic engagement and policy formation. It contains step-by-step guidance in quantitative methods—from conceptualization through all the stages of execution of a study, including providing a detailed guide for statistical analysis—and demonstrates how researchers can engage with social justice issues in systematic, rigorous, ethical, and meaningful ways. This text serves as a core or supplementary textbook for graduate and advanced undergraduate courses in research methods for communication and social sciences and fills a gap for a methods text that is responsive to the desire of scholars to conduct socially impactful research. |
| composite variable spss: Crime and Justice at the Millennium Marvin Eugene Wolfgang, 2002 The major theme of this Festschrift will be state-of-the-art criminology at the millennium and its impact into the 21st century. The editors have solicited major figures in contemporary criminology to elucidate the current state and future prospects of criminology at the turn of the century. It is appropriate that such a volume be produced in honor of Marvin E. Wolfgang, the most influential criminologist in the English-speaking world. Those invited to contribute were students or colleagues of Professor Wolfgang and are themselves distinguished criminologists. They represent criminology both of the past and the future. The appeal of the current book is not that it honors Marvin Wolfgang, but rather that it provides an accounting of where the discipline of criminology currently stands and its future directions. Professor Marvin E. Wolfgang was unsurpassed as a criminologist, distinguished mentor, and gentleman. A book designed to contribute to the most contemporary debates in criminology is a most fitting tribute. |
| composite variable spss: Machine Learning in Medicine Ton J. Cleophas, Aeilko H. Zwinderman, 2013-02-12 Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods. |
| composite variable spss: Playback and Studies of Animal Communication Peter K. McGregor, 2013-11-11 Playback is the technique of rebroadcasting natural or synthetic signals to animals and observing their response. The ability to present a putative signal in isolation, without the potential confounding effects of other activities of the signaller, is the main reason for the depth and range of our knowledge of communication systems. To date, playback of sound signals has predominated, but playback of electric signals and even video playback of visual signals suggests that playback will become just as prevalent in studies of communication in other sensory modalities. This book is one of the outcomes of a workshop on playback held at Thombridge Hall in the Peak District National Park, England during August 1991. There were two reasons for organising the workshop. First, the considerable and lively debate in the literature about the design and analysis of playback experiments -the pseudoreplication debate -was in danger of generating more heat than light. A workshop forum seemed the obvious place to clarify and, if possible, resolve the debate. Second, with the number of new playback and analysis techniques increasing rapidly, it seemed an opportune moment to discuss these techniques and to review some rapidly developing areas of interest in sound communication. |
| composite variable spss: Handbook of Applied Multivariate Statistics and Mathematical Modeling Howard E.A. Tinsley, Steven D. Brown, 2000-05-22 Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities. |
| composite variable spss: National Education Longitudinal Study, 1988 : Second Follow-up (1992) , 1995 |
| composite variable spss: Statistics Applied to Clinical Studies Ton J. Cleophas, Aeilko H. Zwinderman, 2012-02-09 Thanks to the omnipresent computer, current statistics can include data files of many thousands of values, and can perform any exploratory analysis in less than seconds. This development, however fascinating, generally does not lead to simple results. We should not forget that clinical studies are, mostly, for confirming prior hypotheses based on sound arguments, and the simplest tests provide the best power and are adequate for such studies. In the past few years the authors of this 5th edition, as teachers and research supervisors in academic and top-clinical facilities, have been able to closely observe the latest developments in the field of clinical data analysis, and they have been able to assess their performance. In this 5th edition the 47 chapters of the previous edition have been maintained and upgraded according to the current state of the art, and 20 novel chapters have been added after strict selection of the most valuable and promising novel methods. The novel methods are explained using practical examples and step-by-step analyses readily accessible for non-mathematicians. All of the novel chapters have been internationally published by the authors in peer-reviewed journal, including the American Journal of Therapeutics, the European Journal of Clinical Investigation, The International journal of Clinical Pharmacology and therapeutics, and other journals, and permission is granted by all of them to use this material in the current book. We should add that the authors are well-qualified in their fields of knowledge. Professor Zwinderman is president-elect of the International Society of Biostatistics, and Professor Cleophas is past-president of the American College of Angiology. From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors, although from a different discipline, one clinician and one statistician, have been working and publishing together for over 10 years, and their research of statistical methodology can be characterized as a continued effort to demonstrate that statistics is not mathematics but rather a discipline at the interface of biology and mathematics. They firmly believe that any reader can benefit from this clinical approach to statistical data analysis. |
| composite variable spss: Essentials of Business Research Methods Joe Hair Jr., Michael Page, Niek Brunsveld, Adam Merkle, Natalie Cleton, 2023-07-31 Essentials of Business Research Methods provides an accessible and comprehensive introduction to research methods and analytical techniques for business students. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make relevant and timely business decisions. Covering both qualitative and quantitative analysis, the book explores critical topics, including ethics in business research, privacy matters, data analytics, customer relationship management, how to conduct information-gathering activities more effectively in a rapidly changing business environment, and more. This fifth edition has been fully updated throughout, covering emerging technologies such as machine learning and blockchain technology, as well as expanded coverage of secondary data, using examples from around the world. A realistic continuing case used throughout the book, applied research examples and ethical dilemma mini cases, enable upper-level undergraduate and postgraduate students to see how business research information is used in the real world. This comprehensive textbook is supported by a range of online resources, including an instructor’s manual, PowerPoint slides, and a test bank. |
| composite variable spss: Test of Implicit Associations in Relationship Attitudes (TIARA) Victor Karandashev, Nicholas D. Evans, 2017-11-29 This volume presents a manual for a new method of studying implicit attitudes, the Test of Implicit Associations in Relationship Attitudes (TIARA). The main goal of this volume is to demonstrate how to study the implicit attitudes that people have toward others in their close relationships: friend, romantic partner, family member, etc. Since the inception of the concept and measures of implicit cognition, researchers have developed a number of indirect measures to assess implicit attitudes. These similar yet different methods aim to account for different variables for reliable and valid operational definitions of implicit attitudes. Given the progress made in the field of implicit measures, there is great potential for further development and extension of these types of assessments. Many of these methods (especially the Implicit Attitude Test) are only limited to assessing attitudes within the comparison of two bipolar concepts. Therefore, TIARA was developed to be a manual for a new method of studying implicit attitudes in relationships. As described in this volume, TIARA shows that if a person strongly believes that certain feelings can be attributed to a target relationship figure, the reaction time is shorter since they are the most confident in their answer. Beginning with a grounded explanation of the theory behind TIARA, the volume then proceeds to explain its methods and procedures, and how to code, score, and interpret the results of TIARA. Next, the volume reports on six psychometric studies, which provide substantial evidence that TIARA is a valid and reliable measure to study implicit attitudes in relationship research. The volume concludes by exploring practical applications of TIARA as well as its future directions and current limitations. The detailed description of the TIARA method provides a practical and handy tutorial for using the method in research and practice for social and personality psychologists, as well as practitioners. |
| composite variable spss: Management Research Methodology K. N. Krishnaswamy, Appa Iyer Sivakumar, M. Mathirajan, 2009 The subject of management research methodology is enthralling and complex. A student or a practitioner of management research is beguiled by uncertainties in the search and identification of the research problem, intrigued by the ramifications of research design, and confounded by obstacles in obtaining accurate data and complexities of data analysis. Management Research Methodology: Integration of Principles, Methods and Techniques seeks a balanced treatment of all these aspects and blends problem-solving techniques, creativity aspects, mathematical modelling and qualitative approaches in order to present the subject of Management Research Methodology in a lucid and easily understandable way. |
| composite variable spss: Research Methods for Political Science David E. McNabb, 2020-12-31 The third edition of Research Methods for Political Science retains its effective approach to helping students learn what to research, why to research and how to research. The text integrates both quantitative and qualitative approaches to research in one volume and covers such important topics as research design, specifying research problems, designing questionnaires and writing questions, designing and carrying out qualitative research and analyzing both quantitative and qualitative research data. Heavily illustrated, classroom tested, exceptionally readable and engaging, the text presents statistical methods in a conversational tone to help students surmount math phobia. Updates to this new edition include: Research topics chapters have been upgraded and expanded. Two mixed methods design chapters have been added. A new chapter on hermeneutic analysis designs and research with large data sets. The chapter on multivariate statistics has been expanded, with an expanded discussion on logistic regression. Tools on how to prepare and present research findings are now featured in the appendix, allowing instructors more flexibility when teaching their courses. Research Methods for Political Science will give students the confidence and knowledge they need to understand the methods and basics skills for data collection, presentation and analysis. |
| composite variable spss: Positive Psychology in Everyday Life Margarida Pocinho, Soraia Garcês, Daniela Popa, 2022-06-28 |
| composite variable spss: Contemporary Approaches in Equality, Diversity and Inclusion Berk Kucukaltan, 2023-11-10 Encouraging individuals to adapt and businesses to reshape their resources, capabilities and everyday practices, this book grounds the contemporary workplace in an EDI mindset that looks beyond temporary pressures and trends to a strong, inclusive future. |
| composite variable spss: Cerebrovascular imaging — from micro- to macroscopic scales Chengcheng Zhu, Danny J. J. Wang, Mickael Tanter, Zhaoyang Fan, Song Hu, Umar Sadat, 2022-12-22 |
| composite variable spss: High School and Beyond , 1983 |
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The meaning of COMPOSITE is made up of distinct parts or elements. How to use composite in a sentence.
Composite material - Wikipedia
A composite or composite material (also composition material) is a material which is produced from two or more constituent materials. [1] These constituent materials have notably …
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Composite definition: made up of disparate or separate parts or elements; compound.. See examples …
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COMPOSITE definition: 1. something that is made of various different parts: 2. a material made up of more than …
What Are Composites? - Composites 101 | Composites…
A composite is a material made from two or more different materials that, when combined, are stronger than those individual materials by themselves. Simply put, composites …
