Glossary D

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Glossary D

Data accessibility and quality

The ease with which data can be accessed and the degree to which it is reliable, relevant, and useful.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Data accuracy

    The degree to which data is free from errors, bias, or inconsistencies.

  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Data analysis

    The process of examining and interpreting data to draw conclusions or make decisions.

  • Custom vs Standard Evaluation Forms (Choosing Tools)
  • Qualitative vs Quantitative Objectives (Setting Outcomes)
  • Baseline vs Follow-up Evaluation (Measurement Timing)
  • Formative vs Summative Evaluation (Distinguishing Training Outcomes)
  • Learning Outcomes: Expected vs Achieved (Comparing Results)
  • Performance Metrics vs Learning Metrics (Measurement in Training)
  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)

    • Data analysis skills

    The ability to collect, interpret, and draw conclusions from data using various analytical techniques.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Data analysis techniques

    Methods for analyzing and interpreting data, such as regression analysis or factor analysis.

  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)
  • Training Effectiveness vs Efficiency (Understanding Impact)
  • Performance Metrics vs Learning Metrics (Measurement in Training)

    • Data analysis tools

    Software or techniques used to analyze and interpret data.

  • Benchmarks vs Targets in Training (Setting Standards)

    • Data analysis tools and software

    Programs or applications that help to analyze and interpret data, such as statistical software or data mining tools.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Data analytics

    The process of analyzing and interpreting data to extract insights and inform decision making.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Data analytics and reporting

    The process of collecting, analyzing, and presenting data to inform decision making.

  • Benchmarks vs Targets in Training (Setting Standards)

    • Data collection

    The process of gathering information or data from various sources using different methods and tools.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Data collection methods

    Techniques for gathering data, such as surveys, interviews, or observations.

  • Baseline vs Follow-up Evaluation (Measurement Timing)
  • Custom vs Standard Evaluation Forms (Choosing Tools)
  • Formal vs Informal Training Evaluation (Choosing Approach)
  • Performance Metrics vs Learning Metrics (Measurement in Training)
  • Qualitative vs Quantitative Objectives (Setting Outcomes)
  • Reaction vs Learning Evaluation (Levels of Assessment)
  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)

    • Data-driven decision-making

    The use of data and analytics to inform and guide decision making.

  • Qualitative vs Quantitative Objectives (Setting Outcomes)

    • Data privacy and security considerations

    Factors that must be taken into account when handling and storing sensitive or confidential data.

  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Data privacy and security protocols

    Procedures and measures put in place to protect sensitive or confidential information from unauthorized access or disclosure.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Data reliability

    The consistency and stability of data over time and across different contexts.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Data validity

    The extent to which data accurately measures what it is intended to measure.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Data visualization techniques

    Methods for presenting data in a visual format to aid in understanding and interpretation.

  • Custom vs Standard Evaluation Forms (Choosing Tools)
  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Data visualization tools

    Software or applications that help to represent data in a visual format, such as charts, graphs, or maps.

  • Baseline vs Follow-up Evaluation (Measurement Timing)

    • Decision Making

    The act of choosing between different options or courses of action based on available information and personal values.

  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  • Custom vs Standard Evaluation Forms (Choosing Tools)

    • Decision-making processes

    The methods and strategies used to make informed and effective decisions.

  • Custom vs Standard Evaluation Forms (Choosing Tools)
  • Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

    • Deliberate practice

    A focused and intentional approach to skill development through repeated and targeted practice.

  • Long-term vs Short-term Training Goals (Setting Objectives)

    • Dependent variable

    The outcome or response variable in a study that is being measured or predicted.

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

    • Descriptive statistics

    Statistical methods used to summarize and describe data.

  • Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)

    • Differentiation of levels of performance

    The process of identifying and distinguishing between varying levels of proficiency or achievement in a particular skill or task.

  • Criterion-referenced vs Norm-referenced Evaluation (Assessment Types)

    • Difficulty in justifying the value of training programs to upper management

    The challenge of convincing organizational leaders of the worth and impact of training initiatives.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Difficulty in measuring ROI

    The challenge of accurately assessing the return on investment for a program or activity.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Direct costs

    The expenses directly associated with a program or activity.

  • Formal vs Informal Training Evaluation (Choosing Approach)

    • Direction

    A clear and specific goal or objective that guides professional development efforts.

  • Realistic vs Stretch Objectives (Setting Goals)

    • Disclosure

    The act of revealing information about an evaluation, including its purpose, methods, and findings.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Diversity and inclusion initiatives

    Efforts to promote diversity and inclusion in an organization or program.

  • Training Needs: Current vs Future (Strategic Evaluation)

    • Documentation of all aspects of the evaluation process

    The recording of all stages and components of the evaluation process.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Documentation of all evaluation processes and outcomes

    The recording of all aspects of the evaluation process and its outcomes.

  • In-house vs External Evaluation (Choosing Evaluators)

    • Documentation procedures

    The process of recording and storing evaluation data and information.

  • Training Needs: Current vs Future (Strategic Evaluation)

    • Double-blind design

    A research design in which neither the participants nor the researchers know which group is receiving the intervention or placebo.

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

    • Double-blind study

    A research design in which neither the participants nor the researchers know which group is receiving the intervention or placebo.

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