Lecture 2 - Foundations & General Issues of Criminal Justice Research Flashcards
Problems of Social Science Research
- Norms and rules influence patterns and regularities
- There are always exceptions (inferences are just based on probabilities)
Ex. Young males are more likely to be deviant but that doesn’t mean all young males are deviant
Traditional Models of Science
Conceptualization: The process of defining abstract concepts so they can be studied systematically (as a term can be interpreted differently depending on the person)
Ex. To research police brutality, must define brutality
Operationalization: Concrete steps, or operations used to measure specific concepts
Ex. If trying to operationalize fear for personal safety, we might ask:
* How safe do you feel walking alone on campus?
Observation (Hypothesis testing): The actual process of collecting data through various methods:
* Surveys
* Interviews
* Experiments
Variables & Attributes
Attributes: Characteristics of qualities that describe some object, or person
Variables: Logical groupings of attributes
Ex. the attribute “police officer” logically group under the variable “Criminal Justice System”.
Traditional Model Process
- Idea/Theory - developing the idea and main question you want to answer
- Conceptualization - further developing the idea to specific components
- Method - specific research design to answer the question. What question are you trying to answer? What data do you need, what type of participants do you need?
- Operationalization - how are you going to measure variables?
- Population/Sampling - who we are studying, what are we studying?
- Observation - Act of collecting data. for example, surveys or interviews
- Data Analysis - synthesizing the data you are collecting and making inferences to find a conclusion
- Reporting - reporting the data collected and organized
Dependent Variable vs. Independent Variable
Independent Variable: The predictor variable (cause)
Dependent Variable: The outcome variable (effect)
Ex. Do body cameras reduce the use of force by police officers?
IV (cause): Body cameras
DV (effect): Use of force incidents
Inductive vs. Deductive Reasoning
Inductive: Starts with specific observations and moves toward a general conclusion
Ex. After observing that many students who eat a healthy breakfast perform better in school, a researcher concludes that breakfast improves academic performance.
- Observations (specific)
- Hypothesis
- Theory (General)
Deductive: Starts with a general theory or principle and tests it using specific data
Ex. Since studies show that regular exercise improves heart health, a doctor predicts that a patient who exercises daily will have a lower risk of heart disease.
- Theory (general)
- Hypothesis
- Observations (specific)
Hypotheses
- Testable statement regarding the relationship between variables
- Not provable, alternative explanations will always exist
Therefore,
* Hypothesis testing shows support (or lack of) for claims
Objective (Intersubjective Agreement)
Defined as “free of mind”
* Uninfluenced by personal feelings, opinions, or biases; based on facts and evidence.
Quantitative vs. Qualitative
Quantitative:
* Data - numerical, specific
* Goal = Generalize
* Deductive
* Analysis = Statistics
Qualitative:
* Data = Non-numerical, rich
* Goal = Understand behavior in context
* Inductive
* Analysis = Thematic analysis
Developing a Research Topic & Question
- Topic - Media, news, personal experience, textbook, etc
- Problem - What is the underlying social/policy issue? Social significance?
- Question - Narrow the topic down into an examinable question
Example: Developing a Research Topic & Question
Topic - Media portrayal/newsworthiness of IPC homicide
Problem:
* Media reports influence the public’s knowledge of crime
* Media reporting is based on what is “newsworthy”
* Biased reporting of IPV homicide can impact public opinion and policy
Question - Does the victim-offender relationship (IPV vs. Non-IPV) affect the newsworthiness of homicide reporting
Example: Developing a Research Topic & Question
Topic - Youth gang prevention campaigns
Problem:
- Youth are most vulnerable to gang recruitment
- prevention programs aim to prevent youth involvement
Question - Does the end gang life campaign reduce the likelihood of youth gang involvement?
Factors to avoid in Research Questions
- Value-based - Ex. Should abortion be illegal?
- Vagueness - Ex. Do Police Affect Crime? (What kind of crime, and by effect do you mean reduce crime?)
- Statements - Ex. Violent media and aggression (Make sure to form as a question)
Theory
Systemic explanation for observed facts that propose a relationship between constructs
Constructs (aka concepts)
Abstract ideas around which we do research
Hypotheses
Testable statement derived from theory
Variables
Concrete, ,measurable representations of constructs
Attributes
Categories that make up a variable
Units of Analysis
The thing you plan to analyze in your study
* Individuals Ex. Officer
* Groups Ex. Police department
* Organizations Ex. RCMP
* Social Artifacts Ex. Statue of Liberty
2 Key Fallacies
Ecological Fallacy
* Assertion about individuals based on examining groups
Exception (individualistic) Fallacy
* Conclusions about groups based on small numbers of individuals
Ex. stereotypes based on 1 black robber
Identifying Units of Analysis
Example:
* A researcher wants to know whether the commission of certain types of crime is related to income among adults. She surveys 10,000 university students about the types of crimes they have committed over the past 12 months. This inclusive list of crimes includes 50 types that range in seriousness. To get an accurate measure of income, respondents are asked to report their monthly and yearly take-home pay as well as their before-tax income.
Cross-sectional research
Data collected at a single time point
Pros:
* Good for exploratory or descriptive research, and some explanatory research
* Low cost
Cons:
* Can’t establish temporal order (causality)
Longitudinal Research
Data collected over an extended period of time
Pros:
* Can better determine cause-and-effect relationships (establishes temporal order)
Cons:
* Resources extensive
* Subject attrition
Types:
* Trend
* Cohort
* Panel
Correlation vs. Causation
Correlational Relationships:
* 2 variables performed in a synchronized way
Causal Relationships
* One variable causes another variable to change
Correlation does not equal Causation