NTA NET Notes

NTA UGC NET MCJ Unit 10: Communication Research

NTA UGC NET Mass Communication and Journalism Paper II Unit 10 complete notes on communication research, media research, research design, variables, hypothesis, sampling, survey, content analysis, audience research, statistics, scaling, report writing and PYQ-mapped revision areas.

NTA UGC NET MCJ Unit 10: Communication Research

NTA UGC NET Mass Communication and Journalism – Paper II

Subject Code 63 | Unit 10: Communication Research

Unit 10 Complete Notes: Communication Research

Exam Focus: This complete Unit 10 page covers communication research, media research, research design, variables, hypothesis, sampling, survey, content analysis, case study, observation, interview, focus group discussion, questionnaire, schedules, scaling, statistics, audience research, readability, report writing and ethics in research.

1. Unit 10 at a Glance

Syllabus Area What to Prepare PYQ Importance
Communication research Meaning, nature, scope, scientific method, research problem, objectives and research questions. Asked through direct concepts and method questions.
Types of research Historical, descriptive, analytical, experimental, qualitative, quantitative, applied and evaluative research. Important for method identification questions.
Variables and hypothesis Independent, dependent, intervening/control variables, hypothesis, null hypothesis and causation. Repeated PYQ area.
Sampling Population, sample, sampling frame, probability and non-probability sampling techniques. Direct terms and application questions.
Research methods Survey, interview, focus group, observation, case study, content analysis and ethnography. Highly repeated PYQ area.
Data and statistics Mean, median, mode, standard deviation, standard error, confidence interval, correlation and scaling. Important for statistics and scaling PYQs.
Media and audience research Readership, listenership, viewership, ratings, public opinion surveys, pre-election surveys and exit polls. Asked through media-specific research examples.

2. Infographic Flow: Research Process

Problem→ Review→ Objectives→ Hypothesis→ Design→ Data→ Analysis→ Report
Memory clue: Communication research is a systematic way of asking questions about communication, collecting evidence and reaching valid conclusions.

3. Meaning of Communication Research

Communication research is the systematic and scientific study of communication processes, messages, media, audiences, effects, institutions and technologies. It helps understand how messages are produced, transmitted, received, interpreted and evaluated in society.

Research Area What It Studies
Message research Content, themes, frames, symbols, language and meaning.
Audience research Media habits, preferences, interpretation, uses and effects.
Media effects research Impact of media on knowledge, attitude, behaviour and society.
Media institution research Ownership, policy, newsroom routines, economics and management.
Technology research Digital media, social platforms, ICT, algorithms and online behaviour.

4. Scientific Method in Research

Scientific research follows systematic observation, logical reasoning, empirical evidence, verification and replicability. It attempts to reduce personal bias and arrive at reliable conclusions.

Scientific Step Meaning
Observation Identifying a problem or phenomenon.
Question Formulating what needs to be studied.
Hypothesis Making a testable statement or prediction.
Data collection Collecting evidence through appropriate methods.
Analysis Interpreting data using qualitative or quantitative procedures.
Conclusion Answering the research question based on evidence.

5. Types of Communication Research

Type Meaning Example
Historical research Studies past events, documents and developments. History of community radio in India.
Descriptive research Describes existing conditions or patterns. Media use habits among college students.
Analytical research Explains relationships, causes or meanings. Analysis of news framing in election coverage.
Experimental research Tests cause-effect relationship under controlled conditions. Effect of violent content on aggression scores.
Qualitative research Explores meanings, experiences, perceptions and context. Focus group on OTT viewing habits.
Quantitative research Uses numerical data and statistical analysis. Survey on newspaper readership.
Evaluation research Assesses effectiveness of a programme, campaign or message. Evaluation of a health communication campaign.

6. Research Problem, Objectives and Research Questions

A research problem identifies what needs to be studied. Objectives state what the researcher wants to achieve. Research questions guide the inquiry and help decide the method and tools.

Element Example
Research problem Low viewership of development-oriented television programmes.
Objective To examine why development programmes fail to attract local viewers.
Research question How does local specificity affect viewership of development programmes?
Hypothesis Development programmes with local specificity receive higher viewership.
PYQ Link: September 2013 Paper II asked the Audience Research Unit of Doordarshan study on development-oriented programmes and viewership. The answer area was lack of local specificity.

7. Variables in Research

A variable is any quality or characteristic that can vary. Communication research may study variables such as media exposure, age, gender, attitude, knowledge, recall, satisfaction, political affiliation or viewing time.

Variable Type Meaning Example
Independent variable Variable that is expected to influence another variable. Exposure to a campaign.
Dependent variable Variable that is affected or measured as outcome. Change in awareness or attitude.
Control variable Variable controlled to reduce unwanted influence. Age group, education level or prior exposure.
Intervening variable Variable that comes between cause and effect and influences the relationship. Motivation, interest or media literacy.
Discrete variable Variable with separate categories. Political affiliation, gender category, media ownership type.
Continuous variable Variable measured on a continuous scale. Age, time spent, income, rating score.
PYQ Links: September 2013 Paper II asked causation and intervening variable. January 2017 Paper III asked political affiliation as a variable type; revise it as a discrete / non-continuous variable area.

8. Hypothesis

A hypothesis is a tentative and testable statement about the relationship between variables. It helps guide data collection and analysis.

Hypothesis Type Meaning
Research hypothesis Predicts a relationship or difference.
Null hypothesis States that there is no significant relationship or difference.
Directional hypothesis Predicts the direction of relationship.
Non-directional hypothesis Predicts a relationship but not the direction.
Operational hypothesis Defines variables in measurable terms.

9. Causation

Causation means that one variable produces change in another variable. In research, causation generally requires association, time order and elimination of alternative explanations.

Condition Meaning
Co-variation Two variables change together.
Time order Cause must occur before effect.
Non-spuriousness Relationship should not be caused by a third variable.
PYQ Link: September 2013 Paper II asked one condition in causation. The answer area is co-variation.

10. Sampling: Meaning and Key Terms

Sampling is the process of selecting a smaller group from a larger population for research. It saves time, cost and effort while allowing the researcher to make conclusions about the larger group.

Sampling Term Meaning
Population The entire group about which the researcher wants to make conclusions.
Sample Selected subset of the population.
Sampling frame Source list from which a sample is drawn.
Sampling unit Individual element selected for study.
Sample size Number of cases included in the sample.
Sampling error Error caused by studying a sample instead of the whole population.
PYQ Link: September 2016 Paper III asked the source of a sample. The answer area is sampling frame.

11. Types of Sampling

Sampling Type Meaning Category
Simple random sampling Every unit has equal chance of selection. Probability
Systematic sampling Every kth unit is selected from a list. Probability
Stratified sampling Population divided into strata and sample drawn from each stratum. Probability
Cluster sampling Groups or clusters are selected instead of individuals first. Probability
Convenience sampling Sample selected based on easy availability. Non-probability
Purposive sampling Sample selected based on researcher’s judgement and study purpose. Non-probability
Quota sampling Sample selected to fill specific categories or quotas. Non-probability
Snowball sampling Existing participants help identify more participants. Non-probability

12. Survey Method

Survey is a common research method used to collect data from a large number of respondents through questionnaires, schedules, online forms, telephone interviews or face-to-face interviews.

Survey Type Use
Cross-sectional survey Collects data at one point in time.
Longitudinal survey Collects data over a period of time.
Panel study Studies the same sample at different points of time.
Trend study Studies change in a population over time.
Opinion poll Measures public opinion on an issue or candidate.
Exit poll Survey conducted after voters leave polling stations.
PYQ Link: January 2017 Paper III asked panel studies. The answer area is that panel studies measure the same sample of subjects at different points of time.

13. Questionnaire and Schedule

Questionnaire Schedule
Respondent usually fills it. Researcher/interviewer fills it after asking questions.
Useful for literate and self-administered surveys. Useful when interviewer guidance is needed.
Can be online, postal or printed. Often used in field surveys and structured interviews.
May have lower control over response quality. Allows clarification and better control over data collection.

14. Interview, Focus Group and Observation

Method Meaning Best Use
Structured interview Uses fixed questions in fixed order. Comparable data across respondents.
Semi-structured interview Uses guide questions with flexibility. In-depth media/audience experiences.
Unstructured interview Open and conversational. Exploratory qualitative research.
Focus group discussion Group discussion guided by moderator. Audience reaction, campaign testing, perceptions.
Observation Researcher watches and records behaviour/events. Newsroom study, media use in homes, online community behaviour.

15. Content Analysis

Content analysis is a systematic method of studying media content. It can be quantitative or qualitative. It may examine themes, frames, words, images, sources, representation, tone, frequency or ideology.

Content Analysis Step Meaning
Define universe Decide what content will be studied.
Select sample Select newspapers, programmes, posts, articles or videos.
Create categories Develop coding categories.
Coding Classify content according to categories.
Reliability check Ensure coders classify content consistently.
Analysis Interpret patterns and meanings.
PYQ Link: September 2016 Paper III asked the property that categories in content analysis should display. The answer area is exhaustivity.

16. Case Study and Ethnography

Method Meaning Media Example
Case study Detailed study of one case, organisation, event, campaign or community. Case study of a community radio station.
Ethnography In-depth study of people, culture and practices in natural settings. Ethnography of news production in a newsroom.
Netnography Ethnographic study of online communities. Study of fan communities on social media.
Participant observation Researcher participates while observing. Researcher joins a newsroom or online group for study.

17. Experimental Research

Experimental research tests cause-effect relationships by manipulating an independent variable and observing its effect on a dependent variable while controlling other variables.

Experimental Term Meaning
Experimental group Group exposed to the treatment or stimulus.
Control group Group not exposed to treatment, used for comparison.
Pre-test Measurement before exposure.
Post-test Measurement after exposure.
Random assignment Participants are randomly assigned to groups.
Demand characteristics Respondent reaction caused by awareness of experimental situation.
Double blind design Both participant and researcher are unaware of treatment conditions, reducing bias.
PYQ Links: November 2017 Paper III asked demand characteristics in experimental situations. December 2014 Paper III asked which design/theory eliminates communication bias in a research project; revise double blind theory/design.

18. Measurement Scales

Scale Meaning Example
Nominal scale Classifies into categories without order. Gender, newspaper name, political party.
Ordinal scale Ranks categories in order. High, medium, low; first, second, third.
Interval scale Equal intervals but no true zero. Temperature in Celsius.
Ratio scale Equal intervals with true zero. Age, income, time spent watching TV.
Likert scale Measures agreement or attitude through ordered options. Strongly agree to strongly disagree.
Semantic differential Uses bipolar adjectives to measure attitude/image. Good–Bad, Modern–Traditional, Trustworthy–Untrustworthy.
Thurstone scale Equal appearing intervals. Attitude measurement through weighted statements.
PYQ Links: November 2017 Paper III asked equal appearing intervals; the answer area is Thurstone scale. November 2017 Paper III also asked bipolar objectives; the answer area is semantic differential. September 2016 Paper III asked ordinal scale property area.

19. Reliability and Validity

Concept Meaning
Reliability Consistency of measurement.
Validity Accuracy of measurement; whether the tool measures what it claims to measure.
Internal validity Whether observed effect is truly caused by the independent variable.
External validity Whether results can be generalised beyond the study.
Inter-coder reliability Agreement among coders in content analysis.
PYQ Link: November 2017 Paper III asked how external validity can be achieved. The answer area is random samples.

20. Basic Statistics for Communication Research

Statistical Term Meaning PYQ Link
Mean Arithmetic average. Central tendency area.
Median Middle value in ordered data. Central tendency area.
Mode Most frequently occurring value. Central tendency area.
Central tendency Single value representing a typical score in a distribution. September 2013 Paper II.
Standard deviation Measures spread of scores around the mean. December 2014 Paper III.
Variance Square of standard deviation. December 2006 Paper II.
Standard error Standard deviation of the sampling distribution of means. June 2010 Paper II; September 2016 Paper III.
Confidence interval Range with known degree of confidence containing true value. September 2016 Paper III.
ANOVA Analysis of variance; associated with R. A. Fisher. December 2006 Paper II.

21. Audience and Media Research

Audience research studies who uses media, how often, why, in what context and with what effect. It helps media organisations, advertisers, broadcasters and policymakers understand media consumption.

Audience Research Type Meaning
Readership research Studies newspaper/magazine reading habits and audience profile.
Listenership research Studies radio listening habits and preferences.
Viewership research Studies television/video viewing habits.
Rating research Measures programme/channel popularity.
Recall study Measures whether audience remembers an ad/message/programme.
Callout research Commonly used in music/radio testing and audience response.
Forced exposure Used to test media/advertising material after controlled exposure.
PYQ Link: September 2016 Paper III asked a matching question on Callout, CPM, Recall Study and Forced Exposure. Revise audience testing, music testing, cost-per-thousand and advertisement testing together.

22. Public Opinion, Pre-election Studies and Exit Polls

Research Form Meaning
Public opinion survey Measures attitudes of people on public issues.
Pre-election survey Measures voter preference before election.
Exit poll Collects voting information after people vote.
Tracking poll Measures opinion repeatedly over time.
Margin of error Expected range of sampling error in survey results.

23. Readability Research

Readability research studies how easy or difficult a text is for readers. It may consider sentence length, word length, vocabulary, structure, layout and audience background.

Readability Factor Meaning
Sentence length Shorter sentences are usually easier to read.
Word difficulty Simple and familiar words improve readability.
Layout Headings, spacing and paragraph length affect reading ease.
Audience level Readability depends on education, language and familiarity.

24. Data Analysis and Interpretation

Analysis Type Meaning
Descriptive analysis Summarises data using frequency, percentage, mean and charts.
Inferential analysis Uses sample data to make conclusions about a population.
Correlation Measures relationship between variables.
Regression Predicts one variable from another variable or variables.
Thematic analysis Identifies themes in qualitative data.
Coding Classifying qualitative or content data into categories.

25. Research Report Writing

Report Section Content
Title Clear statement of research topic.
Abstract Brief summary of purpose, method, findings and conclusion.
Introduction Background, problem, objectives and research questions.
Review of literature Earlier studies and theoretical context.
Methodology Research design, sampling, tools and procedures.
Analysis and findings Presentation and interpretation of data.
Conclusion Major findings, implications and limitations.
References Sources cited in the study.

26. Ethics in Communication Research

Ethical Principle Meaning
Informed consent Participants should know the purpose and agree voluntarily.
Confidentiality Participant identity and data should be protected.
No harm Research should avoid physical, psychological or social harm.
Honesty Do not fabricate, falsify or manipulate data.
Transparency Report methods and limitations clearly.
Plagiarism avoidance Credit sources and previous work properly.

27. PYQ Mapping Table

PYQ Source Question Area What to Revise
September 2013 Paper II Causation Co-variation as one condition in causation.
September 2013 Paper II Variables Intervening variable and control-variable area.
September 2013 Paper II Audience research Doordarshan Audience Research Unit study: lack of local specificity affected development programme viewership.
September 2013 Paper II Central tendency A single value representing a typical score in a distribution.
June 2010 Paper II Standard error Standard deviation of sampling distribution of means.
September 2016 Paper III Sampling frame Source of a sample.
September 2016 Paper III Data point Data point as observation.
September 2016 Paper III Standard error Standard deviation of the sampling distribution of means.
September 2016 Paper III Content analysis Categories should display exhaustivity.
September 2016 Paper III Confidence interval Range with known confidence asserting true values.
November 2017 Paper III External validity External validity and random samples.
November 2017 Paper III Scaling Thurstone scale and equal appearing intervals.
November 2017 Paper III Experimental research Demand characteristics in experimental situations.
November 2017 Paper III Semantic differential Bipolar objectives / bipolar adjectives.
January 2017 Paper III Panel study Same sample measured at different points of time.
January 2017 Paper III Cohort analysis Largely used in advertising research.
December 2006 Paper II Variance and ANOVA Square of standard deviation; R. A. Fisher and ANOVA.
December 2014 Paper III Standard deviation and research bias Spread of variables in a sample; double blind design/theory for communication bias.
September 2016 Paper III Audience/ad research methods Callout, CPM, Recall Study and Forced Exposure matching area.

28. Frequently Repeated PYQ Areas

Area 1: Causation, variables, intervening/control variables and hypothesis.
Area 2: Sampling frame, sample, sampling error and probability/non-probability sampling.
Area 3: Survey, panel study, public opinion poll, pre-election survey and exit poll.
Area 4: Content analysis categories, exhaustivity and coding reliability.
Area 5: Experimental design, control group, demand characteristics and double blind design.
Area 6: Mean, median, mode, central tendency, standard deviation, standard error and confidence interval.
Area 7: Measurement scales: nominal, ordinal, interval, ratio, Likert, Thurstone and semantic differential.
Area 8: Audience research: readership, listenership, viewership, recall study and programme evaluation.

29. Quick Revision Sheet

Term One-line Revision
Communication research Systematic study of communication processes, media, audiences and effects.
Hypothesis Testable statement about relationship between variables.
Independent variable Cause/predictor variable.
Dependent variable Effect/outcome variable.
Sampling frame Source list from which sample is drawn.
Panel study Same sample studied at different points of time.
Content analysis Systematic study of media content.
Exhaustivity Content categories cover all possible cases.
Standard error Standard deviation of sampling distribution of means.
Confidence interval Range estimated to include true population value with known confidence.
Semantic differential Scale using bipolar adjectives.
External validity Generalisation of findings beyond the study sample/context.

30. Practice Questions with PYQ Angle

1. What is the source of a sample called?
Answer: Sampling frame.
PYQ Angle: September 2016 Paper III.
2. What is a single value representing a typical score in a distribution called?
Answer: Central tendency.
PYQ Angle: September 2013 Paper II.
3. What is the standard deviation of the sampling distribution of means called?
Answer: Standard error.
PYQ Angle: June 2010 Paper II and September 2016 Paper III.
4. What property should categories in content analysis display?
Answer: Exhaustivity.
PYQ Angle: September 2016 Paper III.
5. Equal appearing intervals are a characteristic of which scale?
Answer: Thurstone scale.
PYQ Angle: November 2017 Paper III.
6. Bipolar adjectives/objectives are used in which scale?
Answer: Semantic differential.
PYQ Angle: November 2017 Paper III.
7. Panel studies measure the same sample at different what?
Answer: Points of time.
PYQ Angle: January 2017 Paper III.
8. Cohort analysis is largely used in which research area?
Answer: Advertising research.
PYQ Angle: January 2017 Paper III.

31. Final Exam Tip

For Unit 10, revise through six tables: variables and hypothesis, sampling methods, research methods, measurement scales, basic statistics and PYQ mapping. This unit often asks direct definitions, method identification, statistical terms, sampling concepts and media-audience research examples.

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