Chapter 1 Flashcards

1
Q

3 Major Aspects of the Scientific Enterprise

A
  1. Theory: deals with the logical aspect
  2. Data Collection: observational aspect
  3. Data Analysis: Brings logical and observational together to find patterns
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2
Q

Empirical Data

A

Observed, rather than speculations or personal values

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3
Q

Social Regularites

A

probabilistic patterns, doesn’t need to be correct 100% of the time “women self disclose more than men” usually correct but not always

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4
Q

Aggregates

A

The whole behavior, not individual behaviors (empirical data and social regularities are aggregated behavior)

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5
Q

Communication Studies

A

Field of research on the production and uses of symbols, in concrete social and cultural contexts to enable the dynamics of systems, society, and culture. (key terms production, uses, and dynamics make it clear that communication is a process.

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6
Q

3 main interests of comm. researchers

A
  1. message production, transmission, and meaning making.
  2. systematically examine the content or form of communicative messages. ex. how/what a family talks about at the dinner table influences the kids political beliefs
  3. functions and effets of messages ex. persuasive effects on anti smoking posters on kids
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7
Q

Method vs. Methodology

A

Method: Tools of data collection
Methodology: Paradigms of knowing

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8
Q

Epistimology

A

Science of knowing

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9
Q

Ordinary Human Inquiry

A

Attempts to explore patterns and relationships to make sense of information and and to predict future experiences. A few types are traditional knowledge and authoritative knowledge.

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10
Q

What is a lit. review

A

A comprehensive survey of what other experts have done in your topic area. It furthers and uses sources to improve your argument,

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11
Q

Replication vs. triangulation

A

Replication: you do the same study again to make sure the results are consistent
Triangulation: The process of comparing data gathered one way to data gathered using another method, using another researcher or from different participants.

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12
Q

Reference vs. Bibliography

A

Bibliography is a broader list where you write everything you researched, where references are limited to what you cited in your paper

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13
Q

Components of a Research Report

A

Title, byline, abstract, introduction, method, results, discussion, references

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14
Q

Cross sectional vs. longitudinal

A

Cross sectional: studies a cross section of a phenomenon at one time and analyzes it. For example, a single public opinion poll is a study aimed at describing the U.S. population at a given time.
Longitudinal: designed to permit observations over an extended period. A researcher can observe the comm activity of a radical political group from its inception to its demise.

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15
Q

4 Main purposes of Comm research

A

Exploration: to provide a beginning familiarity with the topic, typical when a researcher examines a new interest or when the study is new. For example, you could disagree with the graduation requirements for comm. Studies and want to change them. You would need to explore and find the history of the requirements, other schools stance.
Description: the researcher observes and then describes what was observed. For example, a researcher who depicts the communication among management team members.
Casual/Functional: to explain things. For example, why some television shows have higher viewer ratings than others. Causal explanation addresses why questions, and functional explanation addresses how questions.
Understanding: “It is description to observe that people usually greet someone they know. It is understanding when the researcher knows the social group’s rules that produce this pattern of action and when the researcher can claim, say, that the greeting means the participants had a prior relationship of some sort and were signaling their recognition of their familiarity with another.

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16
Q

Variable

A

variable: Features or characteristics about individuals or phenomena. Attributes are characteristics or qualities that describe an object or phenomenon, and variables are logical groupings of attributes. Attributes are categories that can make up a variable.

17
Q

Casual Explination

A

An independent variable (x) produces an effect in a dependent variable (y). There are three conditions for making a casual claim: X occurs prior to Y; X and Y are correlated; alternative explanations of Y have been eliminated.

18
Q

Triangulation (data, researcher, theory)

A

The process of comparing data gathered one way to data gathered using another method, using another researcher or from different participants.
Data triangulation: triangulate observations gathered through participant observation against data gathered through qualitative interviewing, or data gathered through the qualitative study of social texts.
Researcher triangulation: peer debriefing: in which the researcher engages in a data-analysis session with a disinterested peer.
Theory triangulation: more than one theory can be brought to produce a richer more sophisticated understanding of the phenomenon.

19
Q

Conceptual definition of a variable

A

Basically, conceptual definition is broad and abstract, like love is commitment. “Conceptualization is the refinement and specification of abstract concepts”

20
Q

Operational definition of a variable

A

operationalization is the development of specific research procedures (operations) that will result in empirical observations representing those concepts in the real world. . The operational definition is specific, measurable, and empirical, precise, and clear. For example saying I love you to my partners 5x a day and then doing a survey of 1-5.

21
Q

Construct, constant, variable

A

Jealousy is a construct, the levels/degrees/types of jealousy is the variable
Eye contact is a construct, the levels/degrees/types of eye contact is the variable
Constant stays the same: significant other (that your are measuring the jealousy between significan others)
Construct=abstract, happiness
Variable (empirical)= level of happiness, type of happiness, degree of happiness
Constant= study in setting, things that don’t change

22
Q

IV DV

A

IV: predictor, manipulated
DV: outcome, measured

23
Q

Hypothesis test

A

A hypothesis is a statement in which a specific empirical outcome is predicted. The prediction is deduced logically from the researchers theory. In general, statistics operate with the baseline presumption that only random chance is operating in a se of data: this presumption is know as the null hypothesis, the implicit presumption that there is no difference between groups or no relationship between the variables being studies. Basically, it assumes that there is no relationship between the variables being studied.

24
Q

Useful Problem Statements

A
  • Must be within researchers capabilities (realistic)
  • Must be narrow (pinpoint IV/DV)
  • Must contain comm. Variables (behavior)
  • Must be testable (observable, measure) (no God)
  • Must not advance personal value/ judgments (gays not as happy)
  • Must be clear grammatical statements