Preface |
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xvii | |
Acknowledgments |
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xxiii | |
About the Authors |
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xxv | |
Part 1: Getting Started |
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1 | (28) |
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Chapter 1 Why Study Research Methods? |
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2 | (27) |
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2 | (1) |
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2 | (1) |
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Why Are Research Methods Important? |
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3 | (7) |
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Knowledge and Ways of Knowing |
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3 | (6) |
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Information From Everyday Life |
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4 | (1) |
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College Student Victimization |
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4 | (2) |
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Violent Crime in the United States |
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6 | (3) |
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Other Sources of Knowledge |
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9 | (1) |
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Typical Stages of Research |
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10 | (11) |
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Developing a Research Question |
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10 | (1) |
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Research in Action: Postrelease Behavior: Does Supermax Confinement Work? |
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11 | (1) |
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Conducting a Literature Review |
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12 | (1) |
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13 | (1) |
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13 | (1) |
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Selecting an Analytic Approach |
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13 | (1) |
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Generating Findings, Conclusions, and Policy Implications |
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14 | (1) |
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Essential Role of Ethics in Research |
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14 | (1) |
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Unethical Research Examples |
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14 | (4) |
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Nazi Research on Concentration Camp Prisoners |
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14 | (1) |
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Tuskegee Syphilis Experiment |
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15 | (1) |
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Milgram's Obedience to Authority |
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15 | (2) |
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Stanford Prison Experiment |
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17 | (1) |
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Foundational Ethical Research Principles and Requirements |
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18 | (2) |
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Role of Institutional Review Boards (IRBs) |
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20 | (1) |
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Researcher Case Studies and a Road Map |
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21 | (4) |
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21 | (3) |
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21 | (1) |
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22 | (1) |
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22 | (1) |
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23 | (1) |
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24 | (1) |
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24 | (1) |
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24 | (1) |
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25 | (1) |
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26 | (1) |
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27 | (1) |
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27 | (1) |
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27 | (1) |
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Critical Thinking Questions |
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28 | (1) |
Part 2: Setting The Stage For Your Research |
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29 | (70) |
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Chapter 2 Identifying a Topic, a Purpose, and a Research Question |
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30 | (32) |
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30 | (1) |
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30 | (2) |
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30 | (2) |
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Why Identify a Topic, a Purpose, and a Research Question? |
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32 | (1) |
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How to Identify a Research Topic |
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32 | (8) |
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32 | (2) |
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34 | (1) |
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35 | (1) |
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Requests for Proposals (RFPs) |
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36 | (1) |
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36 | (3) |
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37 | (1) |
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Research in Action: Mental Illness and Revictimization: A Comparison of Black and White Men |
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38 | (1) |
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39 | (1) |
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39 | (1) |
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Working on Research Projects With Professors |
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39 | (1) |
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40 | (1) |
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How to Identify the Purpose/Goal of Research |
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40 | (3) |
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40 | (1) |
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41 | (1) |
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41 | (1) |
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41 | (2) |
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Gathering More Information and Refining the Topic |
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43 | (1) |
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How to Construct the Research Question |
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43 | (12) |
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Why Have a Research Question? |
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44 | (1) |
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Evaluating the Research Question to Avoid Common Pitfalls |
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44 | (2) |
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Research Questions From Our Case Studies |
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46 | (1) |
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Common Pitfalls When Developing Topics, Purposes, and Research Questions |
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47 | (1) |
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Ethical Considerations When Developing Your Topic, Purpose, and Research Question |
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48 | (1) |
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The Contemporary Role of IRB |
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49 | (1) |
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50 | (4) |
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Pregnant Women, Human Fetuses, and Neonates |
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51 | (1) |
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51 | (1) |
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52 | (1) |
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Potentially Vulnerable Populations |
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53 | (1) |
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Exempt, Expedited, or Full Panel Review at the IRB |
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54 | (1) |
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Training in Protecting Human Subjects |
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54 | (1) |
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IRB Expert-Sharon Devine, JD, PhD |
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55 | (1) |
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56 | (2) |
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58 | (1) |
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59 | (1) |
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59 | (1) |
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60 | (1) |
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Critical Thinking Questions |
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60 | (2) |
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Chapter 3 Conducting a Literature Review |
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62 | (37) |
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62 | (1) |
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62 | (1) |
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Why Conduct a Literature Review? |
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63 | (1) |
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A Road Map: How to Conduct a Literature Review |
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63 | (1) |
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64 | (6) |
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What Are the Best Sources? |
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64 | (3) |
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Empirical Peer-Reviewed Journal Articles |
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65 | (1) |
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Theoretical Journal Articles |
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66 | (1) |
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Literature Review Journal Articles |
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66 | (1) |
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Government Research and Reports and Policy Briefs |
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66 | (1) |
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Avoiding Predatory Publishers and Predatory Journals |
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67 | (1) |
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68 | (1) |
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Research in Action: Police Impersonation in the United States |
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69 | (1) |
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Finding Primary or Original Sources |
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70 | (8) |
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70 | (1) |
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Search Using Boolean Operators and Filters |
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71 | (2) |
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Identify Initial Primary Sources |
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73 | (1) |
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Read Abstracts to Narrow the List of Sources |
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74 | (4) |
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The Anatomy of an Empirical Research Article |
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74 | (4) |
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Writing the Literature Review |
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78 | (13) |
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Summarize Each Original Source |
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78 | (3) |
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Someone Has Already Focused on My Topic! |
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81 | (1) |
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81 | (2) |
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Preparing for the First Rough Draft |
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83 | (4) |
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Organizational Approaches |
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83 | (2) |
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85 | (2) |
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87 | (1) |
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87 | (1) |
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Common Pitfalls of Literature Reviews |
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87 | (1) |
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87 | (1) |
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Failing to Focus on Themes |
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88 | (1) |
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Lack of Organization and Structure |
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88 | (1) |
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88 | (1) |
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Miscellaneous Common Errors |
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88 | (1) |
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Failure to Justify the Need for the Proposed Research |
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89 | (1) |
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Ethics and the Literature Review |
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89 | (1) |
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89 | (1) |
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Accurate Portrayal of Existing Research |
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90 | (1) |
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Literature Review Expert-Sean McCandless, PhD |
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91 | (1) |
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92 | (3) |
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95 | (1) |
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95 | (1) |
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96 | (1) |
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96 | (1) |
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Critical Thinking Questions |
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97 | (2) |
Part 3: Designing Your Research |
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99 | (74) |
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Chapter 4 Concepts, Conceptualizations, Operationalizations, Measurements, Variables, and Data |
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100 | (36) |
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100 | (1) |
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100 | (2) |
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Two Primary Types of Data: Quantitative and Qualitative |
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100 | (2) |
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Why Focus on Concepts, Conceptualizations, Operationalizations, Measurements, Variables, and Data? |
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102 | (1) |
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103 | (2) |
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103 | (2) |
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What Is Conceptualization? |
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105 | (2) |
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Example: Conceptualizing College Student |
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106 | (1) |
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What Is Operationalization? |
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107 | (1) |
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Research in Action: Victim Impact Statements, Victim Worth, and Juror Decision Making |
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108 | (1) |
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109 | (6) |
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Revisiting Research Questions With a Focus on Variation |
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109 | (2) |
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Type of Variables: Dependent, Independent, and Control Variables |
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111 | (4) |
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111 | (1) |
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112 | (1) |
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113 | (2) |
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Memorizing IVs, DVs, or CVs-It Doesn't Work |
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115 | (1) |
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115 | (3) |
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Example: Measuring College Student |
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115 | (2) |
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117 | (1) |
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118 | (7) |
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118 | (5) |
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Mutual Exclusiveness and Exhaustiveness |
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120 | (1) |
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121 | (2) |
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Collect Data at the Highest Level of Measurement Possible |
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123 | (1) |
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Discrete and Continuous Variables |
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123 | (1) |
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123 | (1) |
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123 | (1) |
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124 | (1) |
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124 | (1) |
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124 | (1) |
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Reliability and Validity-Don't Necessarily Exist Together |
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125 | (1) |
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Overview of the Road From Concepts to Variables |
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125 | (1) |
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Common Pitfalls in Concepts, Conceptualizations, Operationalizations, Measurements, Variables, and Data in Research Design |
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126 | (1) |
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Ethics Associated With Concepts, Conceptualizations, Operationalizations, Measurements, Variables, and Data |
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127 | (1) |
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Concepts, Conceptualizations, Operationalizations, Measurements, Variables, and Data Expert-Brenidy Rice |
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128 | (2) |
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130 | (1) |
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131 | (2) |
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133 | (1) |
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133 | (1) |
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134 | (1) |
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Critical Thinking Questions |
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134 | (2) |
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136 | (37) |
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136 | (1) |
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136 | (1) |
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Why Is Sampling Important? |
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136 | (2) |
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138 | (1) |
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139 | (1) |
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139 | (4) |
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Census Advantages and Disadvantages |
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140 | (1) |
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Sample Advantages and Disadvantages |
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140 | (3) |
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141 | (1) |
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142 | (1) |
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143 | (3) |
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143 | (1) |
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Research in Action: Low Self-Control and Desire for Control: Motivations for Offending? |
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144 | (1) |
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145 | (1) |
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145 | (1) |
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Social Artifacts and Interactions |
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145 | (1) |
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Unit of Analysis Versus Unit of Observation |
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146 | (1) |
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146 | (1) |
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147 | (1) |
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Choosing a Sampling Approach |
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147 | (10) |
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148 | (6) |
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149 | (1) |
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150 | (1) |
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151 | (1) |
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151 | (2) |
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153 | (1) |
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154 | (3) |
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Convenience, Accidental, Availability, or Haphazard Sampling |
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154 | (1) |
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155 | (1) |
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Purposive or Judgmental Sampling |
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156 | (1) |
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157 | (1) |
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How Large Should My Sample Be? |
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157 | (8) |
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157 | (5) |
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162 | (1) |
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163 | (1) |
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163 | (1) |
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Common Pitfalls Related to Sampling |
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163 | (1) |
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Ecological and Individualist Fallacies |
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164 | (1) |
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Generalizing Findings That Are Not Generalizable |
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164 | (1) |
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Ethics Associated With Sampling |
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164 | (1) |
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Sampling Expert-Sam Gallaher, PhD |
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165 | (1) |
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166 | (1) |
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167 | (4) |
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171 | (1) |
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171 | (1) |
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171 | (1) |
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Critical Thinking Questions |
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172 | (1) |
Part 4: Collecting Your Data |
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173 | (204) |
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Chapter 6 Research Using Qualitative Data |
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174 | (34) |
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174 | (1) |
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174 | (1) |
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Why Conduct Research Using Qualitative Data? |
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175 | (3) |
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What Is Research Using Qualitative Data? |
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178 | (3) |
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Stages of Research Using Qualitative Data |
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179 | (1) |
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Benefits and Limitations of Research Using Qualitative Data |
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180 | (1) |
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Considerations: Research Using Qualitative Data |
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181 | (3) |
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182 | (1) |
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182 | (1) |
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183 | (1) |
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Approaches Used to Gather Qualitative Data |
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184 | (11) |
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187 | (3) |
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188 | (1) |
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189 | (1) |
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Observation and Fieldwork |
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190 | (1) |
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Research in Action: Public Health Problem or Moral Failing? That Might Depend on the Offender |
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191 | (1) |
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192 | (1) |
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192 | (1) |
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193 | (1) |
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193 | (1) |
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193 | (3) |
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194 | (1) |
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Recording Qualitative Data |
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195 | (1) |
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Organizing and Analyzing Qualitative Data |
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196 | (5) |
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Examples of Qualitatively Derived Themes: Brunson and Weitzer's (2009) Research |
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198 | (1) |
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Computer-Assisted Qualitative Data Analysis (CAQDAS) |
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199 | (1) |
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Advantages and Disadvantages of CAQDAS |
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199 | (1) |
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Common Pitfalls in Research Using Qualitative Data |
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200 | (1) |
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Loss of Objectivity-Going Native |
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200 | (1) |
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Ethics Associated With Research Using Qualitative Data |
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200 | (1) |
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Qualitative Data Research Expert-Carol Peeples |
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201 | (1) |
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202 | (2) |
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204 | (1) |
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205 | (1) |
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205 | (1) |
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206 | (1) |
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Critical Thinking Questions |
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207 | (1) |
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Chapter 7 Survey Research |
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208 | (35) |
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208 | (1) |
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208 | (1) |
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Why Conduct Survey Research? |
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209 | (1) |
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209 | (1) |
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General Steps in Survey Research |
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210 | (1) |
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Surveys Across Research Purposes |
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211 | (3) |
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Surveys and Exploratory Research |
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211 | (1) |
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Surveys and Descriptive Research |
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211 | (1) |
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Surveys and Explanatory Research |
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212 | (1) |
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Surveys and Evaluation Research |
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213 | (1) |
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How Are Surveys Distributed? |
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214 | (8) |
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Mail/Written Surveys (Postal Surveys) |
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214 | (2) |
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214 | (1) |
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215 | (1) |
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Online and Mobile Surveys |
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216 | (2) |
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217 | (1) |
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218 | (1) |
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218 | (3) |
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220 | (1) |
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220 | (1) |
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Face-to-Face (In-Person) Interviews |
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221 | (1) |
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221 | (1) |
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221 | (1) |
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Designing Your Own Survey |
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222 | (8) |
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222 | (5) |
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227 | (1) |
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Research in Action: Understanding Confidence in the Police |
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228 | (1) |
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Pretesting of Survey Instruments |
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229 | (1) |
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230 | (2) |
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230 | (1) |
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231 | (1) |
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Follow-Up to Nonresponders |
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231 | (1) |
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Survey Processing and Data Entry |
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231 | (1) |
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Easy-to-Use Survey Software |
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232 | (5) |
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233 | (1) |
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233 | (2) |
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235 | (1) |
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Common Pitfalls in Survey Research |
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236 | (1) |
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Ethical Considerations in Survey Research |
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236 | (1) |
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Surveying Expert-Bridget Kelly, MA |
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237 | (1) |
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238 | (2) |
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240 | (1) |
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240 | (1) |
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241 | (1) |
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241 | (1) |
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Critical Thinking Questions |
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242 | (1) |
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Chapter 8 Experimental Research |
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243 | (33) |
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243 | (1) |
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243 | (1) |
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Why Conduct Experimental Research? |
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244 | (4) |
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244 | (1) |
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Association Is Not Causation |
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245 | (3) |
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What Is Experimental Research? |
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248 | (1) |
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248 | (8) |
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Experimental and Control Group |
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249 | (1) |
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250 | (2) |
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Matching in True Experiments |
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250 | (2) |
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Researcher Manipulation of Treatment |
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252 | (1) |
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True Experimental Designs |
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252 | (4) |
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Two-Group Posttest-Only Design |
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253 | (1) |
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Two-Group Pretest-Treatment-Posttest Design |
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254 | (1) |
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Solomon Four Group Design |
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255 | (1) |
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256 | (6) |
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Internal Validity Threats |
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257 | (3) |
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257 | (1) |
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257 | (1) |
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258 | (1) |
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258 | (1) |
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259 | (1) |
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259 | (1) |
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259 | (1) |
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External Validity Threats |
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260 | (3) |
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Interaction of Selection Biases and Experimental Variables |
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260 | (1) |
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Interaction of Experimental Arrangements and Experimental Variables |
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260 | (1) |
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Research in Action: Acupuncture and Drug Treatment: An Experiment of Effectiveness |
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261 | (1) |
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Interaction of Testing and Experimental Variables |
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262 | (1) |
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262 | (1) |
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262 | (1) |
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263 | (1) |
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Pre-Experimental Research |
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263 | (2) |
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264 | (1) |
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One-Group Pretest-Posttest Design |
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264 | (1) |
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265 | (1) |
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Quasi-Experimental Research |
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265 | (1) |
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Nonequivalent Groups Design |
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265 | (1) |
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266 | (1) |
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266 | (1) |
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Common Pitfalls in Experimental Research |
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267 | (1) |
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Ethics and Experimental Research |
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268 | (1) |
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Experimental Research Expert-Chris Keating, PhD |
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269 | (1) |
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270 | (2) |
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272 | (1) |
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273 | (1) |
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274 | (1) |
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274 | (1) |
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Critical Thinking Questions |
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274 | (2) |
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Chapter 9 Research Using Secondary Data |
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276 | (36) |
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276 | (1) |
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276 | (1) |
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Why Conduct Research Using Secondary Data? |
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277 | (1) |
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278 | (2) |
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Frequently Used Secondary Data |
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280 | (16) |
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280 | (3) |
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Federal Statistical System (FedStats) |
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283 | (1) |
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U.S. Department of Justice |
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284 | (6) |
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Federal Bureau of Investigation (FBI) |
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284 | (1) |
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Research in Action: Do Offenders "Forage" for Targets to Victimize? |
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287 | (1) |
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Bureau of Justice Statistics (BJS) |
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288 | (2) |
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U.S. Department of Commerce |
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290 | (1) |
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290 | (1) |
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291 | (2) |
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Center for Disease Control and Prevention |
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293 | (1) |
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State Statistical Agencies |
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294 | (1) |
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Local Statistical Agencies |
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295 | (1) |
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Disadvantages of Using Secondary Data |
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296 | (2) |
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Reporting Findings From Secondary Data Analysis |
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298 | (2) |
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Common Pitfalls in Secondary Data Analysis |
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300 | (1) |
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Ethics Associated With Secondary Data Analysis |
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301 | (1) |
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Secondary Data Expert-Jenna Truman, PhD |
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302 | (3) |
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305 | (3) |
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308 | (1) |
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309 | (1) |
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309 | (1) |
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310 | (1) |
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Critical Thinking Questions |
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310 | (2) |
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Chapter 10 GIS and Crime Mapping |
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312 | (33) |
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312 | (1) |
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312 | (1) |
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Why Conduct Research Using GIS and Crime Mapping Techniques? |
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313 | (1) |
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314 | (6) |
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315 | (2) |
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317 | (2) |
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319 | (1) |
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319 | (1) |
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What Is Crime Mapping and Analysis? |
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320 | (3) |
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Administrative Crime Analysis |
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320 | (1) |
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321 | (1) |
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322 | (1) |
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Crime Analysis in Academic Research |
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323 | (12) |
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324 | (1) |
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325 | (2) |
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327 | (2) |
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329 | (3) |
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Repeat Victimization and Near Repeats |
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332 | (2) |
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Research in Action: Using Risk Terrain Modeling to Predict Child Maltreatment |
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334 | (1) |
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335 | (1) |
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Reporting Findings From GIS and Crime Mapping Studies |
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335 | (1) |
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Common Pitfalls in GIS and Crime Mapping Analysis |
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336 | (1) |
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337 | (1) |
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Modifiable Areal Unit Problem (MAUP) |
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337 | (1) |
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Ethical Considerations in GIS and Crime Mapping Research |
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338 | (1) |
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GIS and Crime Mapping Expert-Henri Buccine-Schraeder, MA |
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339 | (1) |
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340 | (1) |
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341 | (1) |
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342 | (1) |
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342 | (1) |
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343 | (1) |
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Critical Thinking Questions |
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343 | (2) |
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Chapter 11 Evaluation Research |
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345 | (32) |
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345 | (1) |
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345 | (1) |
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Why Use Evaluation Research? |
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346 | (1) |
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What Is Evaluation Research? |
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347 | (4) |
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Guiding Principles of Evaluation Research |
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348 | (1) |
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Seven Steps of Evaluation Research |
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348 | (2) |
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The Policy Process and Evaluation Research |
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350 | (1) |
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Types of Evaluation Research |
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351 | (5) |
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351 | (4) |
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352 | (1) |
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353 | (2) |
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355 | (1) |
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355 | (1) |
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356 | (1) |
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Distinctive Purposes of Evaluation and Basic Research |
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356 | (4) |
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Knowledge for Decision Making |
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356 | (2) |
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Origination of Research Questions |
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358 | (1) |
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Comparative and Judgmental Nature |
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359 | (1) |
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Working With Stakeholders |
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359 | (1) |
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359 | (1) |
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Findings and Dissemination |
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360 | (1) |
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Characteristics of Effective Evaluations |
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360 | (8) |
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361 | (1) |
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361 | (1) |
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362 | (1) |
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362 | (1) |
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Research in Action: Evaluating Faculty Teaching |
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363 | (1) |
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Common Pitfalls in Evaluation Research |
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364 | (1) |
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Evaluations as an Afterthought |
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365 | (1) |
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365 | (1) |
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366 | (1) |
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Overselling Your Skills as an Evaluator |
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366 | (1) |
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Ethics Associated With Evaluation Research |
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366 | (1) |
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367 | (1) |
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367 | (1) |
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368 | (1) |
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Losing Objectivity and Failure to Pull the Plug |
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368 | (1) |
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Evaluation Research Expert-Michael Shively, PhD |
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368 | (2) |
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370 | (2) |
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372 | (1) |
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372 | (1) |
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373 | (1) |
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374 | (1) |
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Critical Thinking Questions |
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374 | (3) |
Part 5: Analysis, Findings, And Where To Go From There |
|
377 | |
|
Chapter 12 Analysis and Findings |
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378 | (42) |
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378 | (1) |
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378 | (1) |
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379 | (1) |
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How Should Data Be Analyzed? |
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379 | (1) |
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Analysis of Quantitative Data |
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380 | (10) |
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380 | (1) |
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381 | (1) |
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Measures of Central Tendency |
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381 | (3) |
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381 | (1) |
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382 | (1) |
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383 | (1) |
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384 | (3) |
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384 | (1) |
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384 | (1) |
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385 | (1) |
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385 | (2) |
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387 | (5) |
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387 | (3) |
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390 | (1) |
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Qualitative Data Analysis |
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390 | (2) |
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392 | (8) |
|
Software Applications Used in Quantitative Research |
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392 | (3) |
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392 | (1) |
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393 | (2) |
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Other Commercial Packages |
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395 | (1) |
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Software Applications Used in Qualitative Research |
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395 | (5) |
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396 | (1) |
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Research in Action: Reducing Bullying in Schools |
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397 | (1) |
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398 | (1) |
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398 | (1) |
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399 | (1) |
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Alternative Analytic Approaches |
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400 | (6) |
|
Conjunctive Analysis of Case Configurations (CACC) |
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400 | (3) |
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401 | (1) |
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402 | (1) |
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402 | (1) |
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402 | (1) |
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Geostatistical Approaches |
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403 | (1) |
|
Introduction to Spatial Statistics |
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403 | (1) |
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403 | (3) |
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403 | (1) |
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404 | (1) |
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404 | (1) |
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Spatial Dependency and Autocorrelation |
|
|
404 | (1) |
|
Spatial Interpolation and Regression |
|
|
405 | (1) |
|
Reporting Findings From Your Research |
|
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406 | (6) |
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407 | (1) |
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408 | (1) |
|
Common Pitfalls in Data Analysis and Developing Findings |
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|
409 | (2) |
|
Ethics Associated With Analyzing Your Data and Developing Your Findings |
|
|
411 | (1) |
|
Analysis and Findings Expert-Sue Burton |
|
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412 | (1) |
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413 | (3) |
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416 | (1) |
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416 | (1) |
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417 | (1) |
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417 | (1) |
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Critical Thinking Questions |
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|
418 | (2) |
|
Chapter 13 Making Your Research Relevant |
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420 | (29) |
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420 | (1) |
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420 | (1) |
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Why Conduct Policy-Relevant Research? |
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|
421 | (1) |
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What Is Policy-Relevant Research? |
|
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422 | (1) |
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422 | (2) |
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424 | (1) |
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425 | (3) |
|
Problem Identification/Agenda Setting |
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426 | (1) |
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427 | (1) |
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427 | (1) |
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428 | (1) |
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428 | (1) |
|
Challenges of Getting Research to Policy Makers |
|
|
428 | (7) |
|
Relationship and Communication Barriers |
|
|
429 | (1) |
|
Nonaccessible Presentation of Research |
|
|
430 | (1) |
|
Competing Sources of Influence |
|
|
431 | (4) |
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431 | (1) |
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431 | (1) |
|
Advocacy and Interest Groups |
|
|
432 | (1) |
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433 | (1) |
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433 | (1) |
|
Research in Action: Type of Attorney and Bail Decisions |
|
|
434 | (1) |
|
Maximizing Chances of Producing Policy-Relevant Research |
|
|
435 | (4) |
|
Plan to Be Policy Relevant From the Start |
|
|
435 | (1) |
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|
435 | (1) |
|
Translating Your Research |
|
|
436 | (1) |
|
Common Pitfalls in Producing Policy-Relevant Research |
|
|
436 | (1) |
|
Producing Research That Is Not Policy Relevant |
|
|
436 | (1) |
|
Failing to Recognize How Your Research Is Relevant |
|
|
437 | (1) |
|
Failure to Know Relevant Policy Makers |
|
|
437 | (1) |
|
Going Beyond Your Data and Findings |
|
|
438 | (1) |
|
Ethics and Conducting Policy Relevant Research |
|
|
438 | (1) |
|
Policy Expert-Katie TePas |
|
|
439 | (1) |
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440 | (1) |
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441 | (5) |
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446 | (1) |
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446 | (1) |
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447 | (1) |
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|
447 | (1) |
|
Critical Thinking Questions |
|
|
448 | (1) |
|
Chapter 14 Research Methods as a Career |
|
|
449 | |
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|
449 | (1) |
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|
449 | (1) |
|
Why Research Methods as a Career? |
|
|
449 | (1) |
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|
450 | (2) |
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|
452 | (9) |
|
|
452 | (1) |
|
What Makes a Great Resume? |
|
|
453 | (1) |
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|
454 | (3) |
|
Research in Action: Unexpected Career Choices for Criminal Justice Graduates |
|
|
457 | (1) |
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|
458 | (1) |
|
Letters of Recommendation |
|
|
458 | (3) |
|
Public-Versus Private-Sector Jobs |
|
|
461 | (5) |
|
Working in the Public Sector |
|
|
461 | (1) |
|
|
461 | (2) |
|
Applying to State and Local Positions |
|
|
463 | (1) |
|
Working in the Private Sector |
|
|
464 | (2) |
|
Where to Look for a Career |
|
|
466 | (5) |
|
|
467 | (1) |
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468 | (1) |
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|
468 | (1) |
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|
469 | (1) |
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|
470 | (1) |
|
Top Twitter Job Search Hashtags |
|
|
471 | (1) |
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|
471 | (1) |
|
Tips on Turning an Internship Into a Full-time Job |
|
|
471 | (1) |
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|
471 | (5) |
|
|
471 | (1) |
|
Preparing Questions by (and for) the Interviewer |
|
|
472 | (1) |
|
|
472 | (1) |
|
Asking the Right Questions |
|
|
473 | (1) |
|
Your Professional Portfolio |
|
|
473 | (1) |
|
|
474 | (1) |
|
Professional Interviewing Tips |
|
|
474 | (1) |
|
Pitfalls and Career Searches |
|
|
475 | (1) |
|
Ethics and Career Searches |
|
|
475 | (1) |
|
Research Methods as a Career Expert-Nora Scanlon, MA |
|
|
476 | (3) |
|
|
479 | (1) |
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|
480 | (1) |
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|
480 | (1) |
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|
481 | (1) |
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|
481 | (1) |
|
Critical Thinking Questions |
|
|
481 | |
Appendix |
|
A-1 | |
Glossary |
|
G-1 | |
References |
|
R-1 | |
Index |
|
I-1 | |