Statistics for Criminology and Criminal Justice

Ronet D. Bachman, Raymond Paternoster

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SAGE Publications img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Naturwissenschaften allgemein

Beschreibung

<p><span>Packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available, students not only learn how to perform and understand statistical analyses, but also recognize the connection between statistical analyses use in everyday life and its importance to criminology and criminal justice.<br /><em><br /></em>The authors continue<span class="e;apple-converted-space"e;> </span></span>to facilitate learning by presenting statistical formulas with step-by-step instructions for calculation. This<span class="e;apple-converted-space"e;> </span><span>“how to calculate and interpret statistics “approach avoids complicated proofs and discussions of statistical theory, without sacrificing statistical rigor. The<span class="e;apple-converted-space"e;> </span><strong><span>Fourth Edition</span></strong> is replete with new examples exploring key issues in today’s world, motivating students to investigate research questions related to criminal justice and criminology with statistics<span class="e;apple-converted-space"e;> and conduct research of their own along the way</span>.</span></p>This edition will also be accompanied by a SAGE Edge site. <br /><p style="e;margin-bottom: 0.0001pt;"e;><span>New to this edition:</span></p><ul style="e;margin-top: 0cm; list-style-type: disc;"e;><li style="e;margin-bottom: 0.0001pt;"e;><span>Includes current crime data and new research examples </span></li><li style="e;margin-bottom: 0.0001pt;"e;><span>New learning objectives </span><span>guide students through each chapter, reinforcing the most important concepts for students to understand before proceeding to the next chapter.</span></li><li style="e;margin-bottom: 0.0001pt;"e;><span>New SPSS exercises that correspond to relevant chapter material </span><span>give students hand-on experience using real data </span></li></ul>

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