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This book is a comprehensive guide on multivariate analysis techniques, focusing on the application and discussion of results using various statistical methods. It particularly emphasizes the use of IBM's SPSS software for data analysis in social sciences and business administration. The book aims to serve as a resource for both beginners and advanced users, providing detailed explanations and practical examples to enhance understanding of complex relationships among variables. It includes chapters on factor analysis, cluster analysis, and other multivariate techniques, structured around objectives, design, assumptions, execution, and validation steps. The book is intended for students and professionals in quantitative methods and aims to bridge theoretical knowledge with practical application.

Multivariate analysis. --- Factor analysis. --- Multivariate analysis --- Factor analysis

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Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the 'unknowns' of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.

agile --- structural equation modelling --- information technology --- success --- models --- strategic alignment --- complexity --- waterfall --- project management --- quantitative --- Agile software development --- Change management --- Deliverable --- Exploratory factor analysis --- South Africa

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The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics, motivated by substantive problems in psychology. Central to its success was the publication of the first 'Handbook of Mathematical Psychology' in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the first title in this field to be published, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. This first volume focuses on select mathematical ideas, theories, and modeling approaches to form a foundational treatment of mathematical psychology.

Psychology --- Psychometrics. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Factor analysis --- Psychometrics --- Mathematical models. --- Measurement --- Scaling --- Methodology

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Project success is widely covered, and the discourse on project complexity is proliferating. The purpose of this book is to merge and investigate the two concepts within the context of information system (IS) projects and understand the symbiosis between success and complexity in these projects. In this original and innovative research, exploratory modelling is employed to identify the aspects that constitute the success and complexity of projects based on the perceptions of IS project participants. This scholarly book aims at deepening the academic discourse on the relationship between the success and complexity of projects and to guide IS project managers towards improved project performance through the complexity lens. The research methodology stems from the realisation that the complexity of IS projects and its relationship to project success are under-documented. A post positivistic approach is applied in order to accommodate the subjective interpretation of IS-project participants through a quantitative design. The researchers developed an online survey strategy regarding literature concerning the success and complexity of projects. The views of 617 participants are documented. In the book, descriptive statistics and exploratory factor analysis pave the way for identifying the key success and complexity constructs of IS projects. These constructs are used in structural-equation modelling to build various validated and predictive models. Knowledge concerning the success and complexity of projects is mostly generic with little exposure to the field of IS project management. The contribution to current knowledge includes how the success of IS projects should be considered as well as what the complexity constructs of IS projects are. The success of IS projects encompasses strategic success, deliverable success, process success and the 'unknowns' of project success. The complexity of IS projects embodies organisational complexity, environmental complexity, technical complexity, dynamics and uncertainty. These constructs of success and complexity are mapped according to their underlying latent relationships to each other. The intended audience of this book is fellow researchers and project and IS specialists, including information technology managers, executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. The work presented in this first edition of the book is original and has not been plagiarised or presented before. It is not a revised version of a thesis or research previously published. Comments resulted from the blind peer review process were carefully considered and incorporated accordingly.

Information technology: general issues --- agile --- structural equation modelling --- information technology --- success --- models --- strategic alignment --- complexity --- waterfall --- project management --- quantitative --- Agile software development --- Change management --- Deliverable --- Exploratory factor analysis --- South Africa

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"In the Fourth Edition of Scale Development, Robert F. DeVellis demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The text supports readers in comprehending newer approaches to measurement, comparing them to classical approaches, and grasping more clearly the relative merits of each. This edition addresses new topics pertinent to modern measurement approaches and includes additional exercises and topics for class discussion."--Publisher description.

Scaling (Social sciences). --- #SBIB:303H67 --- 303.224.75 --- 519.2 --- Scaling (Social sciences) --- Sociometric Techniques --- Statistics as Topic --- Factor Analysis, Statistical --- Social Change --- Weights and Measures --- Behavioral Research --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- 303.224.75 Schaaltechnieken. Semantische differentiaal --- Schaaltechnieken. Semantische differentiaal --- Scale analysis (Social sciences) --- Scales of measurement --- Social sciences --- Measures --- Scales --- Weights --- Measure --- Measures and Weights --- Schaaltechniek --- methods --- Methodology --- Modernization --- Social Development --- Social Impact --- Change, Social --- Changes, Social --- Development, Social --- Developments, Social --- Impact, Social --- Impacts, Social --- Social Changes --- Social Developments --- Social Impacts --- Group Processes --- Analysis, Factor --- Analysis, Statistical Factor --- Factor Analysis --- Statistical Factor Analysis --- Analyses, Factor --- Analyses, Statistical Factor --- Factor Analyses --- Factor Analyses, Statistical --- Statistical Factor Analyses --- Area Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Statistical --- Study, Statistical --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Sociometric Technics --- Sociometric Technic --- Sociometric Technique --- Technic, Sociometric --- Technics, Sociometric --- Technique, Sociometric --- Techniques, Sociometric