<p><span>In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses.<br><br>The third edition is extended by a deta
Social Science Data Analysis: An Introduction
β Scribed by Florian G. Hartmann, Johannes Kopp, Daniel Lois
- Publisher
- Springer
- Year
- 2023
- Tongue
- English
- Leaves
- 196
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses.
The third edition is extended by a detailed chapter on the logic of significance tests.
A replication syntax for the statistical program Stata is provided online as supplementary material.
https://link.springer.com/book/10.1007/978-3-658-41230-2
π SIMILAR VOLUMES
xxiii, 304 pages : 25 cm
<p>"<span>One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on β²real worldβ² examples which help students to understand why they are learning these methods." <br><strong>- Dr Roxanne Connelly, University o
<DIV><BR /><BR /> We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simp
<p><br><br> We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and
<div><BR><BR> We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple