This page will provide you with some tips and tricks to make your research a breeze! If you still can't find what you need, please don't hesitate to contact the library! You can find our contact information and more on the Get Help page.
To get you started, here are some general search strategies:
Keyword Strategies
Use these keywords in a general search in any one of our recommended databases or inside DragonQuest:
- Microsoft Office
- Database functions
- Database design/layout
- Microsoft Excel/Word/PowerPoint
- Search terms
- Basic/advanced search
- Crime analysis
Subject Strategies
Searching for results by subject heading, rather than by keywords, can help you focus your search in new directions. Consider these subject search options:
- Crime analysis
- Dataset analysis
- Computer applications
- Statistics/statistics analysis
- Data management systems
- Spreadsheets
- Data query
- Effective presentations
The following image shows you how to change your search to a subject search by using the dropdown menu inside DragonQuest:
Research Starters
Need some extra guidance? Try a Research Starter:
What is a Research Starter?
Research Starters are encyclopedia entries, so they are more of an "idea gathering" mechanism than a scholarly source to support your stance on an issue. They provide you with background information on a broad topic and highlight keywords you can use and/or links to source material to get you started on your research.
Narrowing DragonQuest Search Results
If you'd like to know how to narrow down your DragonQuest list to only full text, peer reviewed, or specific types of resources, we recommend the following tutorial:
DragonQuest Advanced SearchingAdvanced search tab of the DragonQuest tutorial which discusses methods for focusing a search to a more specific type of item.
Recommended Reading
Looking for an eBook on topics related to this course? We recommend the following:
Excel Data Analysis by Héctor GuerreroISBN: 9783642108358
Publication Date: 2010-03-10
Why does the World Need--Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can't tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.
Risk-Based Policing by Leslie W. Kennedy; Joel M. Caplan; Eric L. PizaISBN: 9780520295636
Publication Date: 2018-11-20
Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.