3.3 Data Analysis

• Discourse analysis examines language use in its social context.


  True
• What key themes might thematic analysis reveal in interview transcripts about employees' perspectives?

  Job satisfaction, work-life balance, career aspirations
• Data analysis in language investigation allows researchers to move beyond subjective observations.


  True
• Corpus data includes audio recordings of conversations.

  False
• Analyzing social media posts can provide objective evidence of trends in online language use.


  True
• Qualitative data analysis involves examining non-numerical data to uncover patterns
• Data analysis in language investigation aims to identify linguistic features and reveal underlying structures
• Steps in data collection and organization for language investigation:

  1️⃣ Surveys

  2️⃣ Interviews

  3️⃣ Observations

  4️⃣ Spreadsheets

  5️⃣ Databases
• What is textual data used for in language investigations?

  Analyzing written language
• What are the four main methods for analyzing qualitative data in language investigations?

  Thematic, Discourse, Narrative, Content
• What does narrative analysis explore in language investigations?

  Stories and personal experiences
• What are some common quantitative analysis techniques used in language investigations?

  Descriptive statistics, correlation analysis, regression analysis, hypothesis testing
• Correlation analysis examines relationships between variables in language investigations.


  True
• Hypothesis testing statistically evaluates linguistic hypotheses in language investigations.
• Match the chart type with its use case:

  Bar Chart ↔️ Comparing categories or groups

  Line Chart ↔️ Showing trends over time

  Pie Chart ↔️ Displaying proportions or percentages
• Data visualization supports more informed and evidence-based conclusions in language investigations.
• Match the data type with its description:

  Textual Data ↔️ Written or transcribed language samples

  Audio/Visual Data ↔️ Recordings of spoken language

  Corpus Data ↔️ Large collections of textual data
• Spreadsheets are often used to organize numerical data in language investigations.


  True
• Observing language use in a cafe to note non-verbal cues is an example of an interview.

  False
• Arrange the following steps in data organization from simplest to most complex:

  1️⃣ Spreadsheets

  2️⃣ Databases
• Qualitative data analysis involves examining non-numerical data to uncover patterns, themes, and insights
• Thematic analysis can reveal key themes in interview transcripts, such as job satisfaction and career aspirations.


  True
• Descriptive statistics summarize data using measures like mean, median, and standard deviation
• What is the purpose of data analysis in language investigation?

  Uncover patterns and insights
• Data analysis in language investigation helps researchers understand how language is used in different contexts
• Match the data collection technique with its purpose:

  Surveys ↔️ Collect structured data via questionnaires

  Interviews ↔️ Explore experiences through conversations

  Observations ↔️ Note language use in natural settings

  Spreadsheets ↔️ Organize numerical data
• Thematic analysis involves identifying recurring themes in the data.
• Content analysis quantifies textual or visual content in language investigations.
• Descriptive statistics summarizes and describes data in language investigations.
• What does regression analysis model in language investigations?

  Relationships between variables
• Quantitative analysis provides objective, evidence-based insights in language investigations.


  True
• Effective charts in language investigations should have clear titles and labels.

  True
• What is the purpose of data analysis in language investigations?

  To uncover patterns and trends
• Combining different data types ensures a comprehensive understanding of language in various settings.
• What are the two crucial steps in language investigation described in the study material?

  Data collection and organization
• What is a common method used to organize numerical data in language research?

  Spreadsheets
• What is the purpose of a database in organizing linguistic data?

  Storing complex datasets
• Match the qualitative data analysis method with its description:

  Thematic Analysis ↔️ Identifying recurring themes in data

  Discourse Analysis ↔️ Examining language use in social context

  Narrative Analysis ↔️ Exploring stories and personal experiences

  Content Analysis ↔️ Quantifying textual or visual content
• What is the purpose of quantitative analysis in language research?

  Uncovering patterns in numerical data
• What does correlation analysis examine in quantitative research?

  Relationships between variables