Nomothetic Cause

Change in one variable leads to change in another variable, ceteris paribus
With all other factors or things remaining the same.
Causal effect

Experimental Approach

Researcher randomly assigns individuals to two or more groups.
characteristics equal except for exposure to the independent variable

Counterfactual

The outcome that would have occurred if the subjects who were exposed to treatment actually were not exposed, but otherwise had identical experiences.

Criteria of Nomothetic

Association between the variables
Proper time order
Nonspuriousness of the association
authenticity

Association

Empirical association between independent and dependent variables
Variation in one variable is related to variation in another variable
The more you study for Research, the better your Research grade will be!

Time Order

Variation in the dependent variable occurred after the variation in the independent variable.
Increased studying occurs before your grade raises.

Nonspuriousness

Relationship between two variables that is not due to variation in a third variable.
TAAS scores and high schools
due to teaching and administration
due to socioeconomics of neighborhood

Correlation does not prove causation!!

Randomization

Random assignment of cases.
To reduce the risk of spuriousness and to make the groups as similar as possible.
To look at teaching on the TAAS test you would have to randomly assign students to schools.

Additional Causal Criteria

Causal Mechanism
Context

Experimental Design

Maximizing Causal Validity

Causal Mechanism

Process that creates a causal connection between two variables.
Bobo experiment
the children that viewed the violent cartoon were more aggressive in playing with the doll
was modeling the causal mechanism?

Context

A focus of idiographic causal explanation.
A particular outcome is understood as part of a larger set of interrelated circumstances.

True Experiments

Two comparison groups (experimental and control)
Proper time order of variation in independent and dependent variables
Random assignment to the two (or more) comparison groups
Identification of the causal mechanism
Control over context

Nonexperimental Design and Controls

Use statistical controls to reduce the risk of spuriousness.
Studying naturally occurring variation in the dependent and independent variables.
without any intervention by researchers

Cross-Sectional Design

A study in which data are collected at only one point in time.
Identifying time order difficult.

Broken Windows Theory

Visible disorder causes crime.
Extraneous variable creates the spurious relationship
Both visible disorder and crime were consequences of low levels of informal social control (collective efficacy)

Statistical Control

A method in which one variable is held constant so that the relationship between two (or more) other variables can be assessed without the influence of variation in the control variable.
When informal social control was "controlled" for, the relationship between visible disorder and crime disappears.

Intervening Variable

Variables that are influenced by an independent variable and in turn influence variation in a dependent variable.
Causal mechanisms in nonexperimental research.
Helps to explain the relationship between the independent and dependent variables.

Glueck’s Juvenile Delinquency

Poverty and delinquency
Intervening variables
informal social control
low parent-child attachment
low maternal supervision
more erratic or harsh discipline

Spurious Relationships

Relationship between two variables that is due to variation in a third variable.

Extraneous Variable

Variable that influences both the independent and dependent variables so as to create a spurious association between them that disappears when the extraneous variable is controlled.
Creates a spurious relationship.

Intervening and Extraneous Variables

Intervening explains the relationship between the independent and dependent variable.
Extraneous creates a spurious relationships
Independent and dependent are merely correlated.

Longitudinal Design

Data are collected that can be ordered in time.
Measuring the value of cases on an independent and a dependent variable at different times.

Repeated Cross-sectional Design

Data are collected at two or more points in time from different samples in the population.
Trend studies
Racial prejudice over the past 50 years

Fixed-sample Panel Design

Data are collected from the same individuals at two or more points in time.
Better for testing causal hypothesis
Subject fatigue
Expense

Event-based Design

Data are collected at two or more points in time from individuals in a cohort.
Comparing the TAAS scores for eighth graders going into two high schools and then three years later.
Did the schools make a difference?

Age Cohorts

Baby boomers
Generation X
Adults Possess a Radically Different View of Teenagers Than Teens Have of Themselves
Freshmen in College

Units of Analysis and Errors in Causal Reasoning

Level of Social Life

To understand variables you must understand units of analysis.
Groups may be the units of analysis even though you get the information from individuals (units of observation).

Ecological Fallacy

Researcher draws conclusions about individual-level processes from group-level data.
These may not be wrong, we just don't know from this information.

Texas Education Agency

Accountability Rating System
An exemplary high school has fewer discipline problems.
An acceptable high school has fewer discipline problems.
This doesn’t mean that students with low TAAS scores commit are more likely to break the rules (ecological fallacy).

Reductionist Fallacy

Researcher draws conclusions about group-level processes from individual-level processes.

Idiographic Causal Explanation

An initial set of conditions followed by a series of events that lead in a progressive manner to a particular outcome.
Sequence of events leads to a particular outcome.