cj 526 statistical analysis research methods and statistics
Post on 19-Dec-2015
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CJ 526 Statistical Analysis
Research methods and statistics
Assumptions
1. there is order in nature
2. every event has an explanation
3. we will never know everything
Terminology
Variable: any trait or characteristic which can take on a range of values
Hypothesis: Question or statement about the relationship between two or more variables i.e., is there a relationship between number of police on the streets and the crime rate?
Terms
Independent variable (IV): a variable thought to have an effect
Dependent variable (DV): affected variable
Terms
Units of analysis: units observed and described to create summary descriptions of all units and to explain differences among themIndividualsGroups (i.e., families, gangs)Organizations (police departments)Social artifacts (traffic accidents, court cases, prison riots)
Terms
Theory: an explanation that systematically organizes observations and hypotheses
Basic vs. Applied Research
Basic--why questions; Applied--solve problems
Cross-sectional vs. Longitudinal Research
Experimental vs. Ex Post Facto Research
Types of research methods
Experiments (manipulation and control)
Surveys (written and interviews)
Field or observational research
Record or archival research (content analysis, secondary analysis)
Case study
Evaluation research
Choosing a research problem
Reviewing the literature: abstracts and journals, books, collected readings, computer searches (NCJRS), CD ROMS, and the internet
Conceptualization of variables, hypotheses, questions
Steps in research
Selecting how to measure variables (operationalization)
Selecting subjects for the study: population and sample
Method: making observations and measurements
Data processing and analysis
Steps in research (continued)
Interpreting the results and their applications