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"Social sciences Computer programs."
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Deviance in social media and social cyber forensics : uncovering hidden relations using open source information (OSINF)
This book describes the methodologies and tools used to conduct social cyber forensic analysis. By applying these methodologies and tools on various events observed in the case studies contained within, their effectiveness is highlighted. They blend computational social network analysis and cyber forensic concepts and tools in order to identify and study information competitors. Through cyber forensic analysis, metadata associated with propaganda-riddled websites are extracted. This metadata assists in extracting social network information such as friends and followers along with communication network information such as networks depicting flows of information among the actors such as tweets, replies, retweets, mentions, and hyperlinks. Through computational social network analysis, the authors identify influential actors and powerful groups coordinating the disinformation campaign. A blended social cyber forensic approach allows them to study cross-media affiliations of the information competitors. For instance, narratives are framed on blogs and YouTube videos, and then Twitter and Reddit, for instance, will be used to disseminate the message. Social cyber forensic methodologies enable researchers to study the role of modern information and communication technologies (ICTs) in the evolution of information campaign and coordination. In addition to the concepts and methodologies pertaining to social cyber forensics, this book also offers a collection of resources for readers including several datasets that were collected during case studies, up-to-date reference and literature surveys in the domain, and a suite of tools that students, researchers, and practitioners alike can utilize. Most importantly, the book demands a dialogue between information science researchers, public affairs officers, and policy makers to prepare our society to deal with the lawless \"wild west\" of modern social information systems triggering debates and studies on cyber diplomacy.
Computer programs for qualitative data analysis : a software sourcebook
1995
Written by qualitative researchers for qualitative researchers, and not presuming extensive computer experience, this user-friendly guide takes a critical look at the wide range of software currently available.
SPSS Statistics for data analysis and visualization
by
McCormick, Keith (Consultant), author
,
Salcedo, Jesus, author
,
Peck, John, author
in
SPSS (Computer file)
,
Social sciences Statistical methods Computer programs.
2017
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualisation. This book goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example.
SPSS statistics for data analysis and visualization
by
Verlen, Jason
,
McCormick, Keith, consultant
in
Social sciences
,
Social sciences -- Statistical methods -- Computer programs
,
SPSS (Computer file)
2017
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualizationSPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code.IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.Conduct a more efficient and accurate analysisDisplay complex relationships and create better visualizationsModel complex interactions and master predictive analyticsIntegrate R and Python with SPSS Statistics for more efficient, more powerful codeThese \"hidden tools\" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
SPSS 16 made simple
by
Kinnear, Paul R author
,
Gray, Colin D. author
in
SPSS (Computer file)
,
Social sciences Statistical methods Computer programs
2009
\"SPSS 16 Made Simple is the latest edition of one of the most widely read textbooks in its field. This new edition maintains the book's friendly, practical and informal style, while at the same time keeping the reader abreast of the latest improvements in SPSS. Each statistical technique is presented in a realistic research context and is fully illustrated with screen shots of SPSS dialog boxes and output. The book also provides guidance on the choice of statistical techniques and advice on how to report the results of statistical analysis.\"--Jacket.
SPSS statistics for dummies
by
Salcedo, Jesus
,
Poh, Aaron
,
McCormick, Keith
in
Computer programs
,
Social sciences
,
Social sciences -- Statistical methods -- Computer programs
2015
The ultimate beginner's guide to SPSS and statistical analysis SPSS Statistics For Dummies is the fun and friendly guide to mastering SPSS. This book contains everything you need to know to get up and running quickly with this industry-leading software, with clear, helpful guidance on working with both the software and your data. Every chapter of this new edition has been updated with screenshots and steps that align with SPSS 23.0. You'll learn how to set up the software and organize your workflow, then delve deep into analysis to discover the power of SPSS capabilities. You'll discover the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and maximize your data, even if it's been awhile since your last statistics class. SPSS is the leading statistical software for social sciences, marketing, health care, demography, government, education, data mining, and more. This powerful package gives you the tools you need to get more out of your data, and this book is your beginner-friendly guide to getting the most out of the software. Install and configure SPSS and learn the basics of how it works Master the process of getting data into SPSS and manipulating it to produce results See how to display data in dozens of different graphic formats to fit specific needs Make SPSS manufacture the numbers you want and take advantage of the many analysis options Discover ways to customize the SPSS interface and the look of your results, edit graphics and pivot tables, and program SPSS with Command Syntax Statistical analysis is crucial to so many industries, and accuracy and efficiency are crucial. SPSS offers you the capability to deliver, but you still must know how to take utmost advantage of the tools at your fingertips. SPSS Statistics For Dummies shows you how to handle data like a pro, with step-by-step instruction and expert advice.
A conceptual guide to statistics using SPSS
by
Reise, Steven Paul
,
Berkman, Elliot T.
in
Computer programs
,
Quantitative Techniques for Business & Management Research
,
Social Research
2012,2011
Walking the reader through the steps of statistical tests and providing data sets and screen shots from SPSS, this student-friendly book helps students to successfully use statistical tests in SPSS, interpret the results and also to understand statistical concepts.
L'analyse des données de sondage avec SPSS
2018,2019
Dans le domaine de la recherche, les sondages occupent une place prépondérante dans la quête de compréhension des phénomènes. Le traitement efficace et efficient des données qui résultent des sondages nécessite l’utilisation d’un logiciel facilitant la saisie et la production de statistiques, et ce, de façon flexible et conviviale. Les auteurs de L’analyse des données de sondage avec SPSS sont d’avis que le logiciel de statistiques SPSS convient parfaitement à l’accomplissement de cette tâche. Comme pour tout logiciel, l’utilisation de SPSS nécessite un certain apprentissage et, pour apprivoiser ses fonctionnalités, rien ne vaut un bon accompagnement. Le présent ouvrage, conçu comme un outil d’autoformation, guide l’utilisateur en démystifiant SPSS. Il ne vise pas à remplacer le manuel de référence du logiciel, mais cherche plutôt à accompagner le lecteur dans sa première exploration de ce dernier et à l’aider à franchir le seuil, soit l’apprivoisement des manipulations de base. Ce manuel s’adresse aux analystes de marché, aux économistes, aux professionnels du domaine social, aux étudiants et aux néophytes ayant besoin de notions méthodologiques. Ceux-ci trouveront des explications détaillées pour entrer des données et produire des statistiques descriptives usuelles, notamment des distributions de fréquences et des tableaux croisés. Ils verront également comment illustrer les distributions par des graphiques. Grâce à ce livre, quelques heures suffiront pour se familiariser avec SPSS.