Articles liés à The PSPP Guide: An Introduction to Statistical Analysis
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Synopsis
***Updated edition coming***The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the exercises, examples, and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test, ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables and practical exercises, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. This guide is not intended to be a course on statistics or the mathematics behind statistical analysis. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
***Updated edition coming***The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the exercises, examples, and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test, ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables and practical exercises, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. This guide is not intended to be a course on statistics or the mathematics behind statistical analysis. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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