Sebanyak 1149 item atau buku ditemukan

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

Reliable and student-friendly, Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time.

This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time.

Introduction to R in IBM SPSS Modeler

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls.

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high ...

Quantitative Analysis and IBM® SPSS® Statistics

A Guide for Business and Finance

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance.

IBM SPSS Statistics 23 Step by Step

A Simple Guide and Reference

IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250

Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250

An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and 'clean' secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects.

Marketing Research with IBM® SPSS Statistics

A Practical Guide

Marketing researchers, companies and business schools need to be able to use statistical procedures correctly and accurately interpret the outputs, yet generally these people are scared off by the statistics behind the different analyses procedures, thus they often rely on external sources to come up with profound answers to the proposed research questions. In an accessible and step by step approach, the authors show readers which procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics. IBM® is one of the largest statistical software providers world-wide and their IBM® SPSS Statistics software offers a very user-friendly environment. The program uses a simple drag-and-drop menu interface, which is also suitable for non-experienced programmers. It is widely employed in companies and many business schools also use this software package. This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are taught; all researchers analyzing survey-based data in a wide range of frontier domains like psychology, finance, accountancy, negotiation, communication, sociology, criminology, management, information systems, etc. IBM®'s next-generation business analytic solutions help organizations of all sizes make sense of information in the context of their business. You can uncover insights more quickly and easily from all types of data-even big data-and on multiple platforms and devices. And, with self-service and built-in expertise and intelligence, you have the freedom and confidence to make smarter decisions that better address your business imperatives.

This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are ...

E-Learning and the Academic Library

Essays on Innovative Initiatives

Focusing on academic libraries and librarians who are extending the boundaries of e-learning, this collection of essays presents new ways of using information and communication technologies to create learning experiences for a variety of user communities. Essays feature e-learning projects involving MOOCs (massive open online courses), augmented reality, chatbots and other innovative applications. Contributors describe the process of project development, from determination of need, to exploration of tools, project design and user assessment.

Longitudinal assessment of “user-driven” library commons spaces. Evidence
Based Library and Information Practice, 8(2), 85–95. Frand, J. L. (2000). The
information-age mindset: Changes in students and implications for higher
education.

E-Discovery Tools and Applications in Modern Libraries

Technology has revolutionized the ways in which libraries store, share, and access information. As digital resources and tools continue to advance, so too do the opportunities for libraries to become more efficient and house more information. E-Discovery Tools and Applications in Modern Libraries presents critical research on the digitization of data and how this shift has impacted knowledge discovery, storage, and retrieval. This publication explores several emerging trends and concepts essential to electronic discovery, such as library portals, responsive websites, and federated search technology. The timely research presented within this publication is designed for use by librarians, graduate-level students, technology developers, and researchers in the field of library and information science.

first adopters and first to design website for libraries. Since libraries in the
developed world have taken the lead in integrating web technology into library
services, the use of web technology in libraries has become the topic of interest
amongst ...

Enjoy Menyusun Skripsi

Kumpulan tip dan saran gaul yang kece untuk mahasiswa tingkat akhir. Disadur dari pengalaman pribadi penulis dan cerita-cerita seputar pengalaman mahasiswa yang lagi nyusun skripsi. Dari halaman pertama hingga terakhir, kamu diajak menyelami dunia kognitif dan pikologis yang mewarnai tahap-tahap penyusunan skripsi. Cara-cara yang efektif dan efisien dalam setiap tahap diceritakan dengan bahasa yang ringan dan akrab dengan kita, ditambah ilustrasi yang dijamin bakal bikin kamu betah dan ketagihan baca buku ini. Intinya, semua yang kamu perlukan untuk menggapai sidang akhir dan podium wisuda ada di sini! Udah… #gakpakelama… Langsung aja buka halaman pertama, Sob!

Kumpulan tip dan saran gaul yang kece untuk mahasiswa tingkat akhir.

Pedoman Penulisan Skripsi Hubungan Internasional

SKRIPSI (scriptie)1 adalah salah bentuk karya ilmiah yang dibuat atau ditulis oleh seseorang untuk memenuhi sebagian persyaratan mendapatkan gelar kesarjanaan (S-1). Sebagai sebuah karya ilmiah atau karya akademik dan sekaligus merupakan laporan hasil penelitian, skripsi berbeda dengan novel atau karya fiksi lainnya yang disusun sesuai kehendak penulisnya. Lazimnya sebuah karya ilmiah (scientific paper), skripsi harus ditulis atau disusun berdasarkan kaidah-kaidah ilmiah (scientific principles) yang sudah menjadi tradisi, paradigma, atau kesepakatan umum yang berkembang di kalangan masyarakat ilmiah. Sama halnya dengan tesis (S-2) dan disertasi (S-3), skripsi pada dasarnya merupakan sebuah laporan (report), yakni laporan kegiatan penelitian yang ditulis secara sistematis dan mengikuti ketentuan-ketentuan yang telah menjadi kesepakatan di dunia akademik. Sebelum menyusun skripsi, seorang mahasiswa wajib melakukan kegiatan penelitian terlebih dahulu. Kegiatan penelitian ini juga harus berpedoman pada kaidah-kaidah yang telah menjadi kesepakatan para ahli, yaitu apa yang dikenal dengan metodologi penelitian (research methodology).

SKRIPSI (scriptie)1 adalah salah bentuk karya ilmiah yang dibuat atau ditulis oleh seseorang untuk memenuhi sebagian persyaratan mendapatkan gelar kesarjanaan (S-1).