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25 Cards in this Set

  • Front
  • Back
Content Analysis
-Analyzing symbols and messages contained in the mass media

-Systematic

-Objective

-Quantitative
Systematic
-Content is selected according to explicit and consistently applied rules.

-Sample selection must follow proper procedures and each item must have an equal chance of being included in the analysis.
Objective
-Researcher’s personal experiences/biases should not enter into the findings.

-If replicated by another researcher, the analysis should yield the same results.

-Operational definitions/rules should be explicitly described for other researchers.

-Sampling method, categorization technique and specification of the unit of analysis should be fully explained.
Quantitative
-Researchers can accurately represent a body of messages by using numbers.

-Quantifications allows them to summarize results and report them succinctly.

-Apply sampling techniques to assure that conclusions were based on representative sample.

-Insists on explicit rules for measurement to achieve objectivity and facilitation communication.

-Use quantification and statistical techniques to describe the results and find relationships.
Uses of Content Analysis
-Describing Communication Content

-Cataloging characteristics of media content at one or more points in time

-Testing Hypotheses of Message Characteristics

-Attempts to relate certain characterstics of the source of a media message content to the characteristics of the messages that are produced.

Comparing Media Content to the “Real World”

-Reality check in which the portrayal of a certain group, phenomenon, trait, or characteristic is assessed against a standard taken from real life.

-Assessing the Image of Particular Groups in Society

-Assess changes in media policy towards groups, to make inferences about the media’s responsiveness to demands for better coverage, or to document social trends.
Limitations of Content Analysis
-Cannot serve as sole basis for making statements about the effects of content on an audience

-Findings limited to particular study’s framework

-May lack enough “content” to analyze
Steps of Content Analysis
Formulate the research question or hypothesis

Define the population in question

Select an appropriate sample from the population

Select and define a unit of analysis

Construct the categories of content to be analyzed

Establish a quantification system

Train coders and conduct a pilot study

Code the content according to established definitions

Analyze the collected data

Draw conclusions and search for indications
Research Questions/ Methods
-Content analyses should be guided by well-formulated research questions or hypotheses.

-A basic review of the literature is a required step

-The source for hypotheses are the same as for other areas of media research

-Possible to generate a research question based on existing theory, prior research, or practical problems, or as a response to changing social conditions.
Defining the Population
-Specify the boundaries of the body of content (media) to be considered
-Requires an appropriate operational definition of the relevant population

Example: if researcher’s are interested in analyzing the content of popular songs, they must define what is meant by a “popular song.”

-Have to Specify time period
Sampling
-Assembling a representative sample of adequate size to allow for statistically sound conclusions

-Census – can sample all data in the defined population

-If too much – use a form of multi-stage sampling

(E.g., regions – newspapers within regions – publication dates within newspapers)
What to watch for when Sampling
Differences in the level of availability of media content

(e.g., newspaper vs. broadcast news; The New York Times vs. local newspapers)

Periodicity: Time-bound cycles in media content (e.g., newspapers on different days of the week – Sunday vs. Monday)

Monday skinniest newspaper
Sunday is biggest– Confounding variable
Time Periods
If goal of sampling news coverage of the 2008 election, then time period is set

Sampling period defined by story

If goal is to look at changes in media image of Pres. Bush during the 2004 election, then can look at a sample of the media coverage prior to,
during, and following this story

Have to determine what editions of publications and newspapers to look at, as well as which TV programs to select for analysis

Use sampling techniques
Stratification of Time Period
Stratify sample by week of month and by day of the week

No more than 2 days from one week can be chosen to ensure a balanced distribution across the month

Composite week

E.g., a study might use a sample of one Monday (drawn at random from the 4 or 5 possible Mondays in the month), one Tuesday etc., until all weekdays have been included

The number of dates needed is a function of the incidence of the phenomenon in question: the lower the incidence, the more dates must be sampled.
Selecting a unit of analysis
Sampling unit and unit of analysis usually not the same

E.g., television programs (sampling unit), TV character (unit of analysis)

A unit of analysis is the thing that possesses the variables that you are interested in or investigating

TV characters possess such variables as gender, occupation, status and aggressiveness

Operational definitions of units of analysis need to be specific and clear

E.g., if looking at ads – will you be looking at full page, color ads, or, at least half page ads or bigger?
Constructing Content Categories
Explicit operational definitions of key variables
Coding of Nominal Variables
Exhaustive

Mutually exclusive

Reliability
Exhaustive
all units of measure must go into some category
Mutually exclusive
all units must go in only one category
Reliability
different coders should agree in a great majority of instances about the proper category for each unit of analysis
Measurement
Counts: Often coding amounts to counting instances within units of analysis.

Depends on careful definitions of things to be counted

Counts yield data at the ratio level of measurement.
Ratings
Rating units along a scale to indicate such things as level of violence or amount of violence.

Rules for doing this must be explicit as those for categories,

Resulting data can be at the interval or ratio level of measurement.
Coding the Content
Coding sheets used to facilitate coding

Coder will complete a sheet for each unit of analysis

Has place for coder to mark answer
Analyzing Data
Descriptive statistics good for content analysis

Percentages, means, modes & medians

Use inferential statistics for testing hypotheses
Nominal data

Use Chi-sqaure tests
Ratio or interval data

Use t-tests, ANOVA, or Pearson’s r
Interpreting Data
Interpreting

Hypotheses will either be supported or not by inferential tests

May need benchmark for nominal data.

Have to determine what the data means
Reliability
Reliability Check

To ensure data are meaningful and objective

Essential to demonstrate that different coders usually make the same decisions

Intercoder reliability

Percentage of agreement between coders

Not every content analysis will have more than 1 coder

If more than one coder, should conduct reality check
Holsti
Scott