Final Exam Flashcards
Quantitative Data Analysis
The process by which substantive findings are drawn from numerical data.
Statistics
The primary means by which societies collect and process information about themselves.
Univariate Analysis
Analysis of a single variable
Bivariate Analysis
Analysis of the relationship between two variables
Distribution
The set of different values of a variable that have been observed and how common each value is.
Frequency Distribution
A presentatation of the possible values of a variable and the number of observations for each value that was observed.
Frequency
The number of observations with a particular value of a variable.
Relative Frequency
The percentage of observations with a particular value of a variable.
Relative Distribution
A presentation of the possible values of a variable and the percentage of observations for each value that was observed.
Categorical Variable
A variable with a finite set of values that are distinct from one another and have unknown differences between them.
Continuous Variable
A variable with an infinite set of possible values.
Histogram
Type of graph that can be used to visualize the frequency distribution of a continuous variable.
Summary Statistic
A single value that summarizes some feature of a distribution.
Measures of Central Tendency
Summary statistics that indicate the middle of a distribution
Mean
The sum of all of a variable’s values divided by the number of observations.
Median
The middle value observed when observations are ranked from the lowest to the highest.
Skewed Distribution
An uneven distribution
Outliers
Extreme values
Ratio Variables
Variables with a continuum of values with meaningful distances/intervals between them and true zero.
3 Types of Categorical Variables
- Dichotomous variable
- Ordinal variable
- Nominal variable
Dichotomous Variable
A variable with two categories
Ordinal Variable
A variable with values that can be ordered in some way, but have no known differences between them.
Nominal Variable
A variable with values that are parallel to one another and cannot be ordered/ranked.
Mode
The most common value of a variable (that is the closest measure to the “average” of a nominal variable).
Variation
The amount by which each observation in a distribution varies/differs from the others.
Range
The difference between the maximum value and minimum value of a distribution.
Standard Deviation
The average distance between the value of each observation and the overall mean.
Percentile
An indication of values at or below which a certain percentage of observations fall.
Margin of Error
The amount of uncertainty in an estimate (that is equal to the difference between the estimate and the boundary of the confidence interval).
Confidence Interval
A range of possible values for a variable that researchers can have a particular degree of confidence in.
Cross Tabulation
A presentation of distributions between two or more variables as a table.
The table presents the categories of one variable as rows and the categories of the other variable as columns.
Marginal Frequencies
Overall frequency distributions of the focal measure that do not take into account differences amongst subgroups.
Conditional Mean
A mean statistic calculated for observations that meet a particular condition, rather than being calculated for every occasion.
Bivariate Regression Analysis
Used to describe how the conditional mean of the dependent variable changes as the independent variable changes.
Regression Coefficient
A value that indicates the expected change in the outcome associated with a one-unit increase in the explanatory/independent variable.
Population Trends
Analyses that show how populations change or remain stable over time.
Cohort Replacement
A situation in which younger individuals (of a population) have systematically different attitudes than older individuals who exit a population (by death).
Age Effect
How an individuals’ opinions or other characteristics change as they get older.
Period Effect
A broad pattern in which all ages in a population exhibit a tendency toward change over the same historical period.
Materials
Preexisting information used as the basis for materials-based reasearch
Examples of Materials
- Expert Analyses
- Reports
- Records
- News Media
- Written Accounts of Events
- Maps
- Preexisting Data Sets
- Physical Objects
Materials-Based Methods
Social research methods that involve analyzing existing materials to the study the social world, rather than interviewing, surveying, or observing people.
Unobtrusive Methods
Social research methods that do not involve directly interactive with research subjects.
Macro-Level Phenomena
Social patterns or trends that are larger than any individual (such as societal composition, social structures, and political processes).
Societal Blind Spots
A tendency of individuals to romanticize the past or to presume that certain things are true even when the facts contradict them.
Expert Analyses
Published books and articles on the topic of interest of a particular researcher.
Reports
Syntheses of information that are typically compiled by governments or organizations as part of a review process.
Records
Documents that memorialize events or characteristics at a particular moment in time.
EX: Censuses and Statistics
News Media
Media that can be used by researchers to obtain the facts about important events and daily living.
News Media
Media that can be used by researchers to obtain the facts about important events and daily living.
Cultural Artifact
A material related to popular culture (including paintings, novels, songs, television shows, movies, magazines, and comic books).
First-Person Account
Primary evidence of how an event was experiencedor what people think about an event, gleaned from interviews, diaries, letters, journals, video blogs, or social media posts.
Physical Materials
Data other than written accounts that allow researchers to study life in a particular time and place.
Maps
A representation of a space/area that is used to study information of societal traces, spatial differences in phenomena, and the concentration of phenomena over an area.
Geographic Information Systems (GIS)
Systems of statistical software that take many pieces of quantitative data and associate them with locations on maps to understand how social phenomena are unfolding.
Data Set
A material that has been converted into quantitative data and preserved in files for analysis with statistical software.
Big Data
Data sets with billions of pieces of information that are typically created through individuals’ interactions with technology.
Primary Information
First-hand evidence in its original and unaltered form (including researchers’ direct observations and original first-person accounts).
Secondary Information
Indirect evidence of something that the researcher learns of through at least one other person.
Archive
A physical or web location where materials are brought together, organized by theme, preserved, and made available for inspection by scholars.
Aggregate Data
Summary statistics (e.g. the group mean) that describe people or organizations of a particular type or in a particular location.
Micro-Level Data
Individual-level data
Historical Research Methods
Methods that examines change over time to answer questions about how and why social processes unfold in particular ways.
Comparative Research Methods
Methods that use materials to examine change across locations to answer questions about how and why social processes unfold in particular ways.
Purposive Sampling
A sampling strategy in which cases/individuals are deliberately selected on the basis of features that distinguish them from other cases/individuals.
Counterfactuals
A thought exercise of imagining what might have happened but did not, which can help in determining the significance of a case.
Saturation
The point at which new materials fail to yield new insights and simply reinforce what the researcher already knows.
Content Analysis
A materials-based method that focuses specifically on the texts and images found in materials.
Quantitative Content Analysis
Testing hypotheses through the systematic review of materials that have been converted into a quantitative data set.
Critical Content Analysis
An interpretive analysis of media designed to uncover societal blind sports.
Coding
The process of translating written or visual material into standardized categories to operationalize key concepts into variables.
Coding Scheme
A document that lists all of the possible categories and outlines specific rules for how to apply those categories to the material in order to standardize the measurement of concepts.
Decision Rule
A rule that clearly distinguishes mutually exclusive categories of a variable in quantitative data analysis.
Codebook
A system of organizing information about a data set (including the variables of the set, the possible values for the variables, the coding schemes, and the decision rules).
Natural Language Processing
A method of using computer software and machine learning techniques to identify patterns and associations in big data sets of text.
Deconstruction
A critical interpretive approach to research that involves dissecting the content of some type of media to uncover hidden or alternate meanings.
Secondary Data
Pre-existing data sets
Quantitative Data Analysis
The process by which substantive findings are drawn from numerical data.
Sampling Weights
A sampling technique for secondary data sets in which values are assigned to each case so that researchers can construct an overall representative sample.
Ecological Fallacy
The assumption that everyone within a group possesses the average characteristics of that group.
Triangulation
The comparison of findings of studies on the same topic that were conducted using different methods to see if the differing methods produce consistent results.
In-Depth Interviewing
A qualitative method in which the researcher asks open-ended questions to elicit as much detail as possible about the interviewee’s experiences, understandings, thoughts, feelings, and beliefs.
Focus Group
A group interview on a specific topic that is led by a moderator, which allows the researcher to observe/record the interactions among people and how their opinions/beliefs are constructed through opinions.
Structured Inteview
A survey
Semi-Structured Interview
A type of in-depth interview in which the researcher has prepared a list of questions and follow-up prompts, but is free to ask questions out of order, ask follow-up questions, and allow the conversation to unfold naturally.
Interview Schedule
A prepared list of questions and follow-up prompts that the researchers asks the respondent.
Unstructured Interview
A highly flexible type of in-depth interview in which the researcher has a general list of topics to cover, but has control over all of the questions and the flow of the interview.
Informal Interview
An informal conversation with people who have background knowledge relevant to a study.
Oral History
An unstructured or semi-structured interview in which people are asked to recall their experiences in a specific historical era or during a paricular historical event.
Life History Interview
An in-depth interview used to understand how lives unfold over time, the timing and sequencing of important life events, and other turning points in individuals’ lives.
Life Course Perpective
The study of human development over the life span while taking into how individual lives are socially patterned and affected by historical change.
Cognitive Interview
An interview with survey respondents to understand how the respondents interpret particular questions and terms, which involves them thinking aloud about their answers to questions.