Key Concept Quiz 5 Flashcards

1
Q

Anecdotal Observations

A

A method of data collection where we rely on what we have personally observed in our day-to-day lives.

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2
Q

Causality

A

When the change in one variable causes a change in another variable.

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3
Q

Central Tendencies

A

The mean, median, and mode of a social group or category. These represent the typical or common characteristics of a social group or category.

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4
Q

Confirmation Bias

A

The bias to accept uncritically anything that confirms our worldview and to be overly critical of anything that challenges or disproves our worldview. Simply put, we are all biased to favor information that confirms what we already believed.

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5
Q

Correlation

A

A shared relationship between two variables.

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6
Q

Cross-Sectional Data

A

Data collected at a single point in time. For example, a study that surveys students right after they graduate from college

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7
Q

Cross-tabulation

A

A table that displays two or more variables in a way that makes it easy for you to compare the relationship between two variables.

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8
Q

Data

A

The facts and information used in research.

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9
Q

Dependent Variable (DV)

A

The outcome or event that is influenced or caused by the independent variable. For example, if we think A causes B, then B is the dependent variable.

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10
Q

Disproportionality

A

When the size of one proportion is larger or smaller than we would expect based on other known proportions.

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11
Q

Empirical Data/Evidence

A

Information acquired from using the scientific method that can be verified (or falsified) by other researchers.

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12
Q

Ethnographers

A

Researchers who enter the everyday lives of those they study in hopes of understanding how they navigate and give meaning to their worlds.

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13
Q

Generalizations

A

Conclusions about a population in general that are drawn from specific observations of people from that population (i.e. the sample).

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14
Q

Hypotheses

A

A tentative prediction researchers have about what they are going to discover before research begins.

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15
Q

In-Depth Interviews

A

A method of collecting data based on asking a person a set of questions and having a conversation with him or her focused on gathering information related to the research.

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16
Q

Independent Variable

A

The factors which we think influence or cause a particular outcome or event. For example, if we think A causes B, then A is the independent variable.

17
Q

Longitudinal Data

A

Data collected at multiple points over a long period of time. For example, a study where students are surveyed after their first, second, third, and fourth year of college.

18
Q

Mean

A

The average of a data set.

19
Q

Median

A

The value in the middle of a data set.

20
Q

Operationalization

A

The process of taking abstract ideas and turning them into things that can be measured.

21
Q

Overrepresentation

A

-When a group experiencing something is disproportionately larger than we would expect based on their size in the population.

22
Q

Population

A

Every possible person in the group you want to research. For instance, in a study of U.S. college students’ social media habits the population would be all college students in the country.

23
Q

Probability/Odds

A

The chances that some event or outcome will under certain circumstances.

24
Q

Qualitative Research

A

Research that uses detailed interviews, direct observations, and/or historical records to examine how a particular group interprets and gives meaning to the world around them.

25
Q

Quantitative Research

A

Research that uses statistics to analyze numerical data (i.e. numbers). Examples include studies that use surveys like the U.S. Census or analyses of public records like a study of home property values or applications for marriage.

26
Q

Representativeness

A

The degree to which a sample is similar to the population it is supposed to represent.

27
Q

Research Questions

A

The question(s) a research seeks to answer with their study. Comprised of a independent variable that influences or causes the dependent variable to change.

28
Q

Sample

A

The group of people from the population who are asked to participate in a research study.

29
Q

Sampling Bias

A

When the way participants are recruited leads researchers to draw a sample that is unrepresentative of the population and thus the conclusions researchers draw from their unrepresentative data may be inaccurate.

30
Q

Spurious Relationships

A

Relationships between two variables that seem to be correlated, but really the correlation is caused by a third variable.

31
Q

Statistics

A

The use of mathematics to estimate facts about a population from data collected from a sample.

32
Q

Surveys

A

A method of data collection where respondents are given a questionnaire with a set of standardized questions.

33
Q

Systematic Observations

A

A method of data collection where observations are collected based on pre-defined rules and procedures.

34
Q

The Atomistic Fallacy

A

When we use individual level data to draw conclusions about groups of people.

35
Q

The Ecological Fallacy

A

When group level data is used to draw conclusions about individual members of that group.

36
Q

Thick Descriptions

A
  • Rich and detailed descriptions of the ways people in a specific social context make sense of their lives, written from the perspective of those people themselves.
37
Q

Underrepresentation

A

When a group experiencing something is disproportionately smaller than we would expect based on their size in the population.