What type of validity is most concerned with whether there is a causal relationship quizlet?

1. Content: Refers to whether a test or measure adequately samples or captures relevant material.

2. Criterion: the degree to which a test correlates with some concrete criteria in the real world

3. Construct: refers to the extent an instrument or test measures what it is supposed to measure (most relevant)

4. Internal: rule out other possible explanations for correlation between X and Y; Internal validity is concerned with the logic of the relationship between the IV and DV
5. External: External validity refers to the extent that a causal relationship holds across variations in persons, settings, treatments, and outcomes (generalizability).
It concerns whether the relationship between X and Y can be replicated across a wide range of groups and situation

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Terms in this set (26)

Causation

Question of cause and effect, explain why things are the way they are, some things are caused by other things, foundation of explanatory research, why is something occurring

Criteria for Causality

1. There is a causal relationship between two variables when the cause precedes the effect in time
2. There is a causal relationship when the two variables are empirically correlated with each other, they occur together
3. There is a causal relationship when the observed empirical correlation between the two variables can't be explained by any other influences or third variable

Necessary Cause

Condition that must be present for the effect to follow

EX: It is necessary to be charged with a crime if you are to be convicted

Sufficient Cause

Condition that more or less guarantees an effect

EX: Pleading guilty to a crime is sufficient cause for being convicted. You could also be convicted by going to trial, but pleading guilty is also a sufficient cause for being convicted

Most causal relationships are probabilistic and partial, able to partly explain cause and effect in some percentage of cases we observe

Validity Threats

Reasons we might be incorrect in stating some cause produced some effect
1. Statistical conclusion validity
2. Internal validity
3. Construct validity
4. External validity

Statistical Conclusion Validity

Our ability to determine whether a change in the suspected cause is statistically associated with a change in the suspected effects, basing conclusions on a small sample size is a common threat to statistical conclusion validity, statistically significant

Construct Validity

Concerned with how well an observed relationship between variables represents the underlying causal process, generalizing from what we observe and measure to the real world things in which we are interested

EX: Is what you are observing and measuring really what is critical to the process you are studying, police supervision, is it just a matter of keeping officers in view or are there other ways of supervising that have not been observed or measured that will affect the outcome of study

External Validity

Concerned with whether research findings from one study can be reproduced in another study, are separate findings similar, often under different conditions, in federally funded research projects or evaluation projects this is a great concern, programs that can be replicated with equal success are considered best practices and have exceptional external validity

Internal Validity

Challenge causal statements that are based on some observed relationship, an observed association between two variables has internal validity if the relationship is causal and not due to the effects of one or more other variables, 3rd requirement for causality, occurs when some other variable is responsible for observed effect

Units of Analysis

Who or what is studied, appropriate unit of analysis for a given project is not always clear, often up for debate, lack of clarity about units of analysis in CJ results in part from difficulties in directly measuring the concepts we want to study, importance of specific and clear goals and objectives

1. Individuals
2. Groups
3. Organizations
4. Social Artifacts

Individuals

Social science suggests that scientific findings are most valuable when they apply to all kinds of people, CJ research focuses on specific people because of characteristics or memberships that they have (gang members*, victims, police officers), descriptive studies that have individuals as their units of analysis typically aim to describe the population that comprises those individuals

EX: Probationers, burglars

Groups

Social groups (juvenile gangs, police beats, cities, households), if we want to know why teenagers join gangs the teenager (individual) is the unit of analysis, if we want to compare gangs who deal drugs to gangs that steal cars the gang (group) is the unit of analysis

EX: Study police beats to determine if those containing schools report more drug incidents, cities

Organizations

Social or political organizations (correctional facilities, police departments, probation departments, victim service agencies)

EX: Studying federal prisons vs. state prisons to determine types of crime in each, comparing victim service agencies to determine which agency has better service provision to sexual assault victims, states

Social Artifacts

Product of social beings and their behavior, critical to action research, require information about individuals but there recorded social interaction between people is the unit of analysis

EX: Newspaper articles, police reports, criminal histories, meeting minutes, court cases, files, fatal crash incident reports

Combining Units of Analysis

Community policing evaluation:
- How do citizens feel about their community police officers? (individual)
- Did arrests increase in police beats with CP officers? (group)
- Do police departments that implement community policing have larger budgets than those that don't? (organization)

Concerns about Units of Analysis

Ecological fallacy, individualistic fallacy, reductionism

Ecological Fallacy

Danger of making assertions about individuals as the unit of analysis based on the examination of groups or other aggregations

EX: Can't study robberies by police precinct and then use results to draw conclusions about individual residents or people who were in the precinct at the time of the robbery

Individualistic Fallacy

Opposite of ^, making assertions about the whole based on findings about an individual

EX: Media reports tourist attacked in NY does not mean that all tourists are in danger in NY, media messages may distort how people initially approach research problems in CJ

Reductionism

Overly strict limitation on the kinds of concepts and variables to be considered as causes in explaining the broad range of human behavior represented by crime and CJ policy, suggests particular units of analysis are more relevant than others, can lead to choosing inappropriate units of analysis

EX: Economists will consider only economic variables, sociologists will consider only sociological variables, economic reductionism, psychological reductionism

The Time Dimension

Time order is a requirement for causal inferences so the time dimension of a design requires careful planning

1. Cross-Sectional Studies
2. Longitudinal Studies
3. Retrospective Studies
4. Prospective Studies

Cross-Sectional Studies

Examining a cross section at one time, exploratory and descriptive studies are often cross-sectional, aim is to understand causal processes that occur over time, but their conclusions are based on observations made at only one time, don't know what happened before or after

EX: US Census or a community survey

Longitudinal Studies

Observations over a long period of time, three types:
1. Trend- Looks at changes within some general population over time (UCR data)
2. Cohort- Examines more specific populations (cohorts) as they change over time (age group or groups of people that start or end something at the same time)
3. Panel- Observations are made on the same set of people on two or more occasions

EX: NCVS, once chosen for the sample the household stays in the sample set for three years and is questioned every six months

Problems: Costly, long time to complete, difficult to implement and maintain, panel attrition

Retrospective Studies

Asks about the past, another way of approximating observations over time

EX: Analyzing offenders' criminal histories, what percentage of abuse victims have parents who were abused?

Problems: Surveys- people forget or lie, data- records may be unavailable, incomplete, or inaccurate

Prospective Studies

Requires an examination or approximation of the future

EX: What percentage of abuse victims later abuse their children?

Retrospective vs. Prospective

Commonly done in applied research, specifically evaluation studies, goal is to analyze/measure what occurred prior to a program/policy change and then analyze/measure the same thing again after the program/policy implementation in order to show change

Research Design

Defining your problem (conceptualization), identifying units of analysis, identifying time dimensions, choosing a research method (surveys, interviews, observation, data analysis)

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What type of validity is most concerned with whether there is a causal relationship?

Internal validity addresses whether or not it is reasonable to make a causal inference from the observed covariation between two variables, a presumed cause and its effect.

What type of validity is most concerned with whether the results can be generalized to other persons places and times?

External validity is the extent to which you can generalize the findings of a study to other situations, people, settings and measures. In other words, can you apply the findings of your study to a broader context? The aim of scientific research is to produce generalizable knowledge about the real world.

Which type of validity represents the extent to which the results of a study can be generalized?

External validity examines whether the findings of a study can be generalized to other contexts. [4] Studies are conducted on samples, and if sampling was random, the sample is representative of the population, and so the results of a study can validly be generalized to the population from which the sample was drawn.

Which term describes the degree to which the researcher measures what it should be measuring?

Validity -- the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. A method can be reliable, consistently measuring the same thing, but not valid.