• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/53

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

53 Cards in this Set

  • Front
  • Back
Epistemology
a branch of philosophy that deals with the origins, limits and methods of knowing. It is concerned with two major questions: How is knowledge acquired? How can we distinguish true or adequate knowledge from false or inadequate knowledge?
Sources of Knowledge
i) beliefs; ii) authority; iii) tradition; iv) intuition
Empiricism
our topic of investigation must be verifiable by observation and experience.
Social Regularities
Social science research attempts to identify the “patterns” of the social world. They are regularities because they repeat themselves; we are likely to observe the same thing again and again. Usually we cannot talk about a regularity always happening, but about patterns that tend to happen.
Generalities
With social regularities, we are looking for patterns that are repeated. With generalities, we want these patterns to be as general as possible while still being accurate.
Objectivity
Today, most social scientists recognize that doing science doesn’t mean that we have to let go of our personal motivations or the positions and perspectives we all have. What needs to be objective is the methods not the researchers themselves.
Skepticism
Science works under the principle assumption that every piece of knowledge must be constantly challenged and put to the test.
Post-modernism
Is a philosophical approach that developed during the second half of the 20th century, in response to the failures and problems in modernism and science.
Theory
A systematic explanation for the observations that relate to a particular aspect of life. The purpose of social theory is to explain or answer why the social world has certain patterns, operations or events.
Two important principles that scientific theory must adhere to
i. Testability - A theory has to be testable. This means that it has to produce: hypotheses, or predictions, that can be observed (are empirical). ii. Falsifiability - the logical principle that an assertion could be shown false by a particular observation. It is important to keep in mind that saying a theory is “falsifiable” does not mean that it is false; rather, it means that if the statement were false, then its falsehood could be demonstrated.
Precision
A good match (good fit) between the predictions of the theory and the actual findings.
Consistency
We would like to see that there is consistency inside the theory (for example, no contradictive predictions or logic).
Scope
We would want our theory to explain as much as possible. We are interested in explanations that are as wide as possible, and that can account for different people in different situations at different times.
Parsimony
The theory should be as simple as possible, with a minimal number of assumptions and conditions.
Fertility
The best theories are those that lead to new findings, new research and applications, and the development of other new theories.
Overgeneralization
making hasty generalizations on the basis of little evidence.
Selective Observation
occurs when we take special notice of some people or events, and tend to seek out evidence that confirms what we already believe.
Barnum’s effect
refers to the tendency for people to accept very general or vague characterizations as accurate depictions of themselves, downplaying those parts that don’t describe them so well.
Gambler’s fallacy
is the erroneous reasoning that a streak of one kind of luck foreshadows that of the opposite.
Selective memory
we tend to think something is more likely to happen in the future because we remember it more than other events.
Inductive reasoning
1. Observe, examine evidence
2. Develop concepts to create empirical generalizations

e.g. 6 in 10 children who are allowed to drink at home with their parents become alcoholics later in life (observation.) Therefore, attitudes towards drinking are formed by others near to us (empirical generalization)
Deductive reasoning
1. We begin with theory or an abstract relationship between concepts.
2. We then move toward concrete empirical evidence
e.g. Ideological theory says that racism, among other political and social beliefs, affects how people think about immigration (theory). People who are racially prejudiced will oppose migration by people of a specific race or ethnicity irrespective of economic benefits (empirical evidence).
Conceptualization
means specifying what we mean by a term.
Operationalization
means how we measure our concepts
Hypothesis
a testable statement about a relationship between a dependent and an independent variable
Null Hypothesis
predicts no relationship between variables
Variable
A concept that takes at least two values. A logical set of attributes.
Attribute
Categories/values of a variable.
Dependent variable
The variable that our study explains. It is the object of our study.
Independent variable
It is the variable that influences/affects the dependent variable.
Level of Measurement
tells us about the nature of the relationship between the attributes of a variable.
Nominal level of measurement
The attributes are only distinguished by name. You cannot tell if one is more/better/stronger/larger etc than the other. e.g - gender (male, female); race (African-American; white; Hispanic; other); whether the respondent is a student or not (yes/no).
Ordinal level of measurement
The attributes can be rank-ordered, but we cannot calculate the difference between them. e.g. income level (low income, middle income, high income)
Interval/ratio level of measurement
The attribute can be rank-ordered AND the difference between them can be calculated. e.g. age in years, income in dollar amount, weight in pounds etc.
Unit of analysis
the level of social life on which our research is based. It is the entity we gather data on.
Ecological fallacy
You commit ecological fallacy when you collect macro-level data (data on group level or country level for instance), but draw conclusions at the individual level.
Reductionism
occurs when you explain macro-level events using evidence only about specific individuals.
Reliability
refers to the consistency of our results.
Two ways to determine reliability
1) Test-retest - Here we repeat our test or measure over and over again to see if we’re arriving at consistent results.
2) Inter-rater reliability - Inter-rater reliability refers to the extent to which two or more raters (or individuals) agree. In other words, they observe the same thing and come to the same, or similar, conclusions.
Validity
The degree to which our study measures what it is supposed to measure.
External Validity
It is the ability to generalize our findings from a specific setting or small group of people to larger settings and groups of people.
Content Validity
refers to the extent to which our measure reflects our theoretical concepts.
Face Validity
This is about whether our measures make sense/seems reasonable at face value.
Idiographic
In this type of explanation the scope of our explanation is limited to one single case or a limited number of cases. Our goal is to explain one case or a limited set of cases fully. e.g. an in-depth historical study of the political, social and economic reasons behind WWII
Nomothetic
explanations are more general. They cover a wide range of experiences or observation. They indicate relationships between variables. Nomothetic explanations seek to explain a set of situations or events rather than a single particular one. e.g. an explanation of the overall political conditions that push countries to war.
Correlation/Statistical relationship
is one in which two variables tend to change together in a consistent, or proportional, way.
Positive linear correlation
Variables move in the same direction. e.g. The more educated a person is, the more prestigious his job is. The less income you have, the less satisfied you are with your life
Negative linear correlation
Variables move in opposite directions. e.g. More politically conservative people tend to be less tolerant toward immigration.
Non-linear correlation
There is a relationship between the two variables, but the rate of change is not constant. e.g. The relationship between age and physical strength. At first, as age increases, physical strength increases, but eventually as you get very old, your strength declines.
Time order
the independent variable has to precede the dependent variable. e.g. parent’s level of education → children’s level of education
Spurious relationship
one in which there is no connection, or statistical relationship, between the independent and dependent variables once a causally prior control variable is taken into account.In other words, we think that there is a relationship between two variables but this relationship is false because another variable in fact affects them both.
Necessary cause
a condition that MUST be present for the effect to happen.
Sufficient cause
a condition that, if present, guarantees that the effect will happen.Taking classes in the university is a necessary condition (necessary cause) for getting a degree. But it is not a sufficient cause. You also need to pass these classes.