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Content analysis - PowerPoint Presentation

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Content analysis - PPT Presentation

Quantitative evaluation of texts Questions about content When we talk about cop shows or news or sports we think about certain kinds of content Usually we perceive certain regularities in the content and notice when a single text or artifact deviates from those ex ID: 585924

content coding analysis categories coding content categories analysis recording units text texts scheme sampling unit single data variables rules

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Slide1

Content analysis

Quantitative evaluation of textsSlide2

Questions about content

When we talk about “cop shows” or “news” or “sports” we think about certain kinds of content. Usually, we perceive certain regularities in the content and notice when a single ‘text’ or ‘artifact’ deviates from those expectations.

Sometimes we think certain regularities exist, while others dispute our beliefs.Slide3

The need for careful analysis

Because our own hunches and expectations can be in error, and much of our understanding of the effects, values, and role of telecommunications is dependent upon the nature of the content of television, radio, film, videogames, etc. it is often necessary to more carefully analyzed that content.Slide4

Text analyses

Many ways of evaluating content/texts are available. We call the entire group of methods “text analysis.”

The most heavily quantitative form of text analysis is “content analysis.”Slide5

Definition

Content analysis: A research technique for making inferences by systematically and objectively measuring specified characteristics of a text.Slide6

Content analysis in telecommunications research

Content analysis is probably the most common form of research found in scholarly study of telecommunications

It demands the least money and resources

The downside is that many consider it “an easy publication” and produce very low-quality workSlide7

Goals of text analysis

To explain the nature of communication.

Describe the content, structure, and functions of the messages contained in texts.

What does the text mean? How does it achieve that meaning?

To describe how communication is related to other variables.

Input variables – Outcome variables

For example: How

does a corporate takeover affect television news coverage?

To evaluate texts by using a set of standards or criteria.

Must establish a set of standards against which the communication can be compared.

Example: Is

the text too hard to read for 12-year-olds?Slide8

Types of texts

Most any fixed symbolic whole—a story, a textbook, a church, a transcribed conversation, a website, and on and on can be considered a ‘text’. Sometimes a whole series of stories (Star Trek, season 2) may be considered a ‘text’. Slide9

Acquiring texts

Listen to conversations in naturalistic settings

Conversations produced in a lab

Visit rooms of teenage girls

Literary or historical sources (novels or films)

Record shows off the air

Visit or mirror websites Slide10

Procedures

Select

the text(s) to be analyzed

Determine

the recording

units

Develop content categories

Train observers to code

units into categories

Carry out the coding while monitoring for quality

Analyze the dataSlide11

Sampling in content analysis

Population: totality of texts we want to say something about

This is often more difficult than it seems

All issues of the Herald Leader over a period of a

year?

All coverage of terrorism in the elite

press?

We can analyze a census or we can sample

The same sorts of sampling techniques used for surveys can be applied here

Random v. non-random sampling

Many non-random samples chosen for theoretical as well as convenience reasonsSlide12

Sampling

Commonly

multiple stages

in sampling documents

Selecting communication sources

Newsweek

Prime Time television

Sampling documents

Pick an issue, particular shows

Sampling within documents

Front page v. all pages, etc.Slide13

Units of observation

Chosen

first

according

to

theory

,

then by convenience

Articles

Broadcasts

Books

Pictures

Movies

Letters

ConversationsSlide14

Recording units

Recording units are the actual ‘pieces’ of the observational units that are scored according to your category scheme

For example, if I were observing a single episode of NCIS, I might score every 5 minutes of the show for the presence or absence of humor. The 5-minute segment would be my recording unit.Slide15

Recording units

Single word or symbol

May be too small—large number of data points generated

Theme

Single assertion about some subject

May have overlapping themes

Character

Person or animal categorized rather than words or themes

Sentence or paragraph

May have ambiguous or conflicted evidence of one or more categories of content

Item

Whole book, film, radio program

Difficulty coding into single categories

Physical size measure

Column inches

Number of secondsSlide16

Coding categories

The category scheme is the set of dimensions you use to evaluate your recording units and the available options you have for scoring one recording unit on each dimension

For example:

Recording unit: Scene

Dimension: Emotionality of a scene

Scoring options: High/Medium/LowSlide17

Coding categories

The coding categories must be carefully developed in order to see that when the actual data are generated, they answer your theoretic questions of the text

I can’t tell you how many times I’ve had to reject manuscripts because the coding scheme was not adequate to answer the theoretical questions posed in the literature reviewSlide18

Coding scheme

Conceptualization

coding categories

The

code book

provides the rules for assigning a coding unit to one or another

category

It is an actual set of rules for assigning the proper codes (scoring) to each coding unitSlide19

Coding rules

What are the

rules

for determining which category a given recording unit should be placed in?

How do we know whether a given paragraph is pro-Lunsford, neutral, or anti-Lunsford?

This is a crucial part of the coding scheme. A

naïve coder

who simply applies the rules should get the

outcome the theorist/ researcher intended.Slide20

Good coding categories

Categories should be:

Exhaustive

Mutually exclusive

Derived from a single classification principle

Independent

Adequate to answer the questions asked of the dataSlide21

Practice coding

In order to see that coders use the instrument as the researcher intended, the researcher holds practice sessions

Related content,

usually

not from the actual sample, is coded and the results discussed Slide22

Coding sheet example

Coding units

Coding categories

Length of song (

secs

)

# different words

Main topical focus

# instruments played

Vocal enhancement

Oops I did it again

We are the world

Stairway to heaven

Unchained melodySlide23

Coding reliability

To ensure that the coding scheme is reliable we have to test it

Coders score identical

content

The more often different coders produce the same scores for the identical content, the more reliable the coding scheme is

Results are compared using statistical tests for reliability

Cronbach’s

alpha;

Krippendorff’s

alpha

A rule of thumb is that the coding scheme is reliable if alpha is at least .70Slide24

Reliability v. Validity v. Precision

The highest levels of reliability are usually found with very simple, extreme codes (true v. false; happy v. sad) but these simple codes often don’t provide the precision we want (clearly true, seemingly true, ambiguous, seemingly false, clearly false) and therefore reduce the value of the results—validity may suffer.

The researcher has to consider the tradeoff Slide25

Data analyses

D

escriptive

statistics are

often used

Percentages

Mean

Standard deviation

May compare across texts

To test hypotheses, etc.

Compare findings to some prediction

Relative percentages among categories, between sources on same categories

Correlations among categories, with predictor variables, with outcome variables

E.g., goriness of violence with measures of audience enjoyment