Statistical Guides: The Role of a Database Package for Research Projects
Langues disponibles :
Langues disponibles :
Daté : novembre 2000
Auteur : Statistical Services Centre
A booklet providing guidance on the strengths and weaknesses of spreadsheet and database software as tools for use in research projects. It aims to help the reader understand whether they require the use of database software to manage their project data.
From the introduction:
"This guide is to help researchers and research managers to decide whether they need to make use of a database package to manage their data. We use Microsoft Access as an example, but the concepts are general and apply equally to any relational database package.
There are many textbooks on Access, but they concentrate primarily on HOW to use the software. This guide concentrates on WHETHER the software is needed and if so, what skills do different members of the project team need."
Part of a series of statistical guides by The University of Reading Statistical Services Centre, which were originally written as part of a contract with DFID to give guidance to research and support staff working on DFID Natural Resources projects. They provide guidelines for staff involved in the development and presentation of research projects. The guidelines are intended to help researchers to identify their biometric or statistical needs.
Les éléments individuels de la collection sont listés ci-dessous. Cliquez sur l’un d’eux pour télécharger le fichier ou accéder à l’URL externe. Vous pouvez télécharger l’ensemble complet ci-dessous sous forme de fichier .zip.
RoleOfDatabasePackageForResearchProjects.pdf
472 KB
Guide
Statistical Guides: Approaches to the Analysis of Survey Data
A booklet giving guidance on how to approach the analysis of survey data. "This guide is concerned with some f...
Guide
Statistical Guides: Concepts Underlying the Design of Experiments
A booklet giving guidance on the key concepts of experimental design. "This guide describes the main concepts...
Guide
Statistical Guides: Data Management Guidelines for Experimental Projects
A booklet giving guidance on managing data for research projects. Planning the data management aspects of a pr...
Guide
Statistical Guides: Guidelines for Planning Effective Surveys
A booklet on planning surveys for research. The guide covers planning, when a survey is appr...
Guide
Statistical Guides: Confidence and Significance - Key Concepts of Inferential Statistics
A booklet giving an overview of inferential statistics. This includes concepts such as estimation, hypothesis...
Guide
Statistical Guides: Mixed Models and Multilevel Data Structures in Agriculture
A booklet aiming to help the reader understand what heirarchical data structures are and how they may be analy...
Guide
Statistical Guides: Modern Approaches to the Analysis of Experimental Data
A booklet giving guidance on analysis of data. It discusses the three main parts of the process: relating the...
Guide
Statistical Guides: Modern Methods of Analysis
A booklet which follows on from the guides 'Approaches to the Analysis of Survey Data' and 'Modern Approaches...
