Glossary Q

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Glossary Q

Qualification standards

The requirements for achieving a certain level of expertise or certification.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Qualitative analysis

    The process of analyzing non-numerical data to identify themes and patterns.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Qualitative data

    Data that is descriptive and subjective in nature.

  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)
  • Performance Metrics vs Learning Metrics (Measurement in Training)
  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Qualitative data analysis

    The process of analyzing data that is descriptive and subjective in nature.

  • Criterion-referenced vs Norm-referenced Evaluation (Assessment Types)
  • Performance Metrics vs Learning Metrics (Measurement in Training)

    • Qualitative feedback gathering

    The process of collecting feedback that is descriptive and subjective in nature.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Qualitative feedback mechanisms

    Methods used to gather feedback on non-numerical aspects of a product or service, such as customer opinions or user experience.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Qualitative metrics

    Measures used to evaluate non-numerical aspects of a product or service, such as customer satisfaction or brand perception.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Qualitative objectives

    Goals that cannot be measured using numerical data.

  • Qualitative vs Quantitative Objectives (Setting Outcomes)

    • Qualitative research methods

    Research methods that involve the collection and analysis of non-numerical data.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Quality assurance

    The process of ensuring that a product or service meets the required standards of quality.

  • Formative vs Summative Evaluation (Distinguishing Training Outcomes)
  • Learning Outcomes: Expected vs Achieved (Comparing Results)
  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  • Qualitative vs Quantitative Objectives (Setting Outcomes)

    • Quality assurance measures

    Actions taken to ensure that products or services meet established quality standards.

  • Benchmarks vs Targets in Training (Setting Standards)
  • In-house vs External Evaluation (Choosing Evaluators)
  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Quality assurance metrics

    Metrics used to ensure that a product or service meets established quality standards.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Quality assurance protocols

    A set of guidelines and procedures designed to ensure that products or services meet customer expectations.

  • Benchmarks vs Targets in Training (Setting Standards)

    • Quality control

    The process of ensuring that a product or service meets the desired level of quality.

  • Formal vs Informal Training Evaluation (Choosing Approach)
  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Quality control measures

    Procedures put in place to ensure that products or services meet established quality standards.

  • Benchmarks vs Targets in Training (Setting Standards)
  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Quality improvement

    The process of continuously improving processes and outcomes to achieve better results.

  • Baseline vs Follow-up Evaluation (Measurement Timing)
  • Qualitative vs Quantitative Objectives (Setting Outcomes)
  • Training ROI vs ROE (Financial vs Educational)

    • Quality metrics

    Measures used to evaluate the quality of a product or service.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Quantitative analysis

    The process of analyzing numerical data to identify patterns and relationships.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Quantitative analysis approaches

    Methods used to analyze numerical data and draw conclusions based on statistical analysis.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Quantitative analysis techniques

    Statistical methods used to analyze numerical data.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Quantitative data

    Numerical data that can be analyzed using statistical methods.

  • Custom vs Standard Evaluation Forms (Choosing Tools)
  • Performance Metrics vs Learning Metrics (Measurement in Training)
  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)

    • Quantitative data analysis

    The statistical analysis of numerical data.

  • Criterion-referenced vs Norm-referenced Evaluation (Assessment Types)
  • Performance Metrics vs Learning Metrics (Measurement in Training)

    • Quantitative data interpretation

    The analysis and interpretation of numerical data.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Quantitative objectives

    Goals that can be measured using numerical data.

  • Qualitative vs Quantitative Objectives (Setting Outcomes)

    • Quantitative research methods

    Research methods that involve the collection and analysis of numerical data.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Quasi-experimental design

    A research design that lacks random assignment of participants to groups.

  • Evaluation Design: Experimental vs Non-experimental (Research Methods)