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Pemrograman Database dengan Visual Basic.Net 2008 untuk Orang Awam

Systematic Data Collection

Data collection in the field, whether by interviewing or other methods, can be carried out in a structured, systematic and scientific way. This volume compels field researchers to take very seriously not only what they hear, but what they ask. Ethnographers have often discovered too late that the value of their interview information is discounted as a consequence of poor sampling (of both questions and informants) and poor elicitation techniques. The authors focus on the importance of establishing the right questions to ask through the use of free listing techniques; then they describe in practical terms the administration of an impressive array of alternative kinds of informant task. They conclude with a discussion of reliability and validity of various methods which can be used to generate more systematic, culturally meaningful data.

Osgood and colleagues used rating scales to study the dimensions of meaning in
words. ... saturation, and brightness, Osgood and colleagues described the
dimensions of affective meaning as evaluative (good-bad), active (active-passive
), ...

Data Collection

Key Debates and Methods in Social Research

This innovative book provides students and researchers alike with an indispensible introduction to the key theoretical issues and practical methods needed for data collection. It uses clear definitions, relevant interdisciplinary examples from around the world and up-to-date suggestions for further reading to demonstrate how to usefully gather and use qualitative, quantitative, and mixed data sets. The book is divided into seven critical parts: • Data Collection: An Introduction to Research Practices • Collecting Qualitative Data • Observation and Informed Methods • Experimental and Systematic Data Collection • Survey Methods for Data Collection • The Case Study Method of Data Collection • Concluding Suggestions for Data Collection Groups A stimulating, practical guide which can be read as individual concepts or as a whole this will be an important resource for students and research professionals. Wendy Olsen is Senior Lecturer at Manchester University, Institute for Development Policy & Management and Cathie Marsh Centre for Census & Survey Research

The study of meaning is also called 'hermeneutics'. Hermeneutics recognises that
the meaning intended byatext'sauthor maynot betheonetaken byaparticular
audience.Exegesis ofthe Bibleor Koranwouldbekey examples.Tracing the ...

Reliability Data Banks

... distributions, 4 estimation methods used, 22 Pooled reliability data, 219, 276
Population at risk, meaning of term, 12 Power Reactor & Nuclear Fuel
Development Corporation (PNC, Japan) nuclear fuel fabrication reliability data
base.

Statistics and Data Interpretation for Social Work

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank

qualitative methods and statistics, 4, 352–353 qualitative variables definition, 5
variability, 40–41, 40t quantitative research methods, 4 quantitative variable, 5
quasi-experiments, 138 questions, answers to, 425–452 quotient, 409 R R2, 368
r ...

Elements of Spatial Data Quality

Elements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the metadata that accompanies the transfer of a digital spatial data file or is available in a separate metadata catalog. Members of the International Cartographic Association's Commission on Spatial Data Quality have identified seven elements of data quality: positional accuracy, attribute accuracy, completeness, logical consistency, lineage, semantic accuracy and temporal information. In the book the authors describe: components of each data quality element, possible metrics that can be used to measure the quality of each criteria, possible testing and rating schemes, and how these parameters might differ from a producer or user point of view. Finally no volume of this nature would be complete without a chapter devoted to necessary future research in this subject area. The chapter points out areas in need of further investigation and speculates about the use and transfer of digital spatial data in tomorrow's electronic world and at developments in presenting specified data quality information in a visualization. This book will be of interest to all of those individuals involved in geographical information systems and spatial data handling.

CHAPTER SEVEN Semantic accuracy François Salgé Meaning of Semantic
Accuracy Semantic accuracy is one of the elements of the quality of a digital
spatial dataset. For the perspective of this paper only spatial datasets are
considered, i.e. ...

The Internet of Things

More objects and devices are connected to digital networks than ever before. Things - from your phone to your car, from the heating to the lights in your house - have gathered the ability to sense their environments and create information about what is happening. Things have become media, able to both generate and communicate information. This has become known as 'the internet of things'. In this accessible introduction, Graham Meikle and Mercedes Bunz observe its promises of convenience and the breaking of new frontiers in communication. They also raise urgent questions regarding ubiquitous surveillance and information security, as well as the transformation of intimate personal information into commercial data. Discussing the internet of things from a media and communication perspective, this book is an important resource for courses analysing the internet and society, and essential reading for anyone who wants to better understand the rapidly changing roles of our networked lives.

Discussing the internet of things from a media and communication perspective, this book is an important resource for courses analysing the internet and society, and essential reading for anyone who wants to better understand the rapidly ...

Empowering the Customer

The Citizen in Public Sector Reform

This publication explores some of these recent strategies based on Commonwealth best practice. It presents, among other things, guidelines on developing clients' charters, setting appropriate standards for public services, and meeting the expectations of the socially deprived.

This publication explores some of these recent strategies based on Commonwealth best practice.