Screen LibraryPolitical analysis : a guide to data & statistics /
"From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can...
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| Main Authors: | |
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| Published: |
SAGE Publications Ltd,
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| Publisher Address: | London : |
| Publication Dates: | [2023] |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| Summary: |
"From news reporting on elections or unfolding political crises to everyday advertising, you are confronted with statistics. Rather than being swayed by bad arguments and questionable correlations, this book introduces you to the most common and contemporary statistical methods so that you can better understand the world. It's not about mindless number crunching or flashy techniques but about knowing when to use statistics as the best means to analyse a problem". -- Publisher. |
| Carrier Form: | vi, 492 pages : illustrations ; 25 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781529774832 1529774837 |
| Index Number: | JA71 |
| CLC: | D0-32 |
| Call Number: | D0-32/L898 |
| Contents: | The Scientific Method And Statistics -- Theory And Hypotheses -- Data And Variables -- Research Design -- Statistics And The Scientific Study Of Politics -- Descriptive Statistics -- Univariate Descriptive Statistics -- Measures Of Association I: Nominal- And Ordinal-Level Variables -- Measures Of Association II: Means Comparison And Correlation -- Measures Of Association III: (Bivariate) Regression -- Inferential Statistics -- An Introduction To Inference -- Inference For Nominal- & Ordinal-level Variables -- The Central Limit Theorem -- Inference For Interval-Level Variables -- Multiple Regression -- Extensions To Multiple Regression -- Issues With Multiple Regression -- Binary Logistic Regression -- Categorical And Limited Dependent Variables -- Current Debates -- Big Alternatives -- The Ethics Of Data Analysis. |