Types of Data

• What are the two main types of data?

  Quantitative and qualitative data
• What is the difference between qualitative and quantitative data collection techniques?

  Qualitative uses words; quantitative uses numbers
• What is primary data?

  Data collected first-hand for a study
• What is secondary data?

  Data collected for a different purpose
• What is meta-analysis?

  A method combining results of multiple studies
• What are the strengths and weaknesses of qualitative data?

  Strengths:

  • Rich, detailed data
  • Greater external validity

  
  

  Weaknesses:

  • Difficult to analyze
  • Relies on subjective interpretations
• What are the strengths and weaknesses of quantitative data?

  Strengths:

  • Easy to analyze
  • Objective data

  
  

  Weaknesses:

  • Can oversimplify constructs
  • Limited options for responses
• How might qualitative data be collected?

  Through interviews and open questionnaires
• How might quantitative data be collected?

  Using closed questions and structured observations
• How can you differentiate between primary and secondary data in research?

  Primary is first-hand; secondary is previously collected
• What is a systematic review?

  A structured summary of research on a topic
• What is the purpose of a systematic review?

  To evaluate and synthesize relevant studies
• What is the effect size in meta-analysis?

  An assessment of the overall effect of the IV
• What is a limitation of meta-analysis?

  Publication bias may overrepresent trends
• What is one way to collect primary data?

  Through experiments or observations
• What is one way to collect secondary data?

  From journal articles or government statistics
• How can qualitative data enhance research validity?

  By allowing detailed participant expressions
• Why might quantitative data be easier to analyze?

  It is numerical and structured
• What type of data is collected through closed questions?

  Quantitative data
• What type of data is collected through open questions?

  Qualitative data
• How does qualitative data differ from quantitative data in terms of analysis?

  Qualitative data is subjective; quantitative is objective
• What is the significance of effect size in research?

  It indicates the strength of a relationship
• Why might a researcher choose to use secondary data?

  It is often less expensive to access
• How does a systematic review differ from a meta-analysis?

  A systematic review summarizes studies; meta-analysis analyzes data
• What might be a reason for using a meta-analysis in research?

  To identify overall trends from multiple studies
• Why is external validity important in research?

  It determines how findings apply to real-world settings
• What is the purpose of collecting primary data?

  To address specific aims of the study
• What is a potential limitation of primary data collection?

  It can be time-consuming and costly
• What is one method of collecting secondary data?

  Reviewing past research articles
• How does qualitative data contribute to research insights?

  It provides in-depth understanding of experiences
• How can the strengths of qualitative data enhance research findings?

  By providing rich, detailed participant insights
• What is the role of effect size in meta-analysis?

  It quantifies the strength of relationships
• What is one characteristic of quantitative data?

  It is numerical and measurable
• Why is it important to differentiate between primary and secondary data?

  To understand the source and purpose of data
• How does the collection method affect the type of data gathered?

  Different methods yield qualitative or quantitative data
• What is the significance of external validity in research findings?

  It indicates applicability to broader contexts
• What is the main focus of qualitative research?

  Understanding thoughts and feelings in depth
• How does quantitative data facilitate statistical analysis?

  It provides numerical values for calculations
• What is the relationship between qualitative and quantitative data in research?

  They provide complementary insights into phenomena
• Why might researchers prefer secondary data?

  It is often more cost-effective and accessible