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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.

  1. In-house vs External Evaluation (Choosing Evaluators)

Data accuracy

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

  1. Custom vs Standard Evaluation Forms (Choosing Tools)

Data analysis

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

  1. Formative vs Summative Evaluation (Distinguishing Training Outcomes)
  2. Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)
  3. Training Evaluation: Pre-test vs Post-test (Assessment Methods)
  4. Qualitative vs Quantitative Objectives (Setting Outcomes)
  5. Custom vs Standard Evaluation Forms (Choosing Tools)
  6. Learning Outcomes: Expected vs Achieved (Comparing Results)
  7. Top-down vs Bottom-up Evaluation (Organizational Approach)
  8. Evaluation Design: Experimental vs Non-experimental (Research Methods)
  9. Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  10. Baseline vs Follow-up Evaluation (Measurement Timing)
  11. Benchmarks vs Targets in Training (Setting Standards)
  12. Competencies vs Skills in Evaluation (Defining Outcomes)
  13. Content vs Delivery Evaluation (Training Components)
  14. Criterion-referenced vs Norm-referenced Evaluation (Assessment Types)
  15. Performance Metrics vs Learning Metrics (Measurement in Training)

Data analysis skills

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

  1. In-house vs External Evaluation (Choosing Evaluators)

Data analysis techniques

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

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

Data analysis tools

Software or techniques used to analyze and interpret data.

  1. Benchmarks vs Targets in Training (Setting Standards)

Data analytics

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

  1. Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)

Data analytics and reporting

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

  1. Benchmarks vs Targets in Training (Setting Standards)

Data collection

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

  1. Baseline vs Follow-up Evaluation (Measurement Timing)
  2. Performance Metrics vs Learning Metrics (Measurement in Training)
  3. Custom vs Standard Evaluation Forms (Choosing Tools)
  4. Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  5. Competency-based vs Task-based Objectives (Training Focus)
  6. Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)
  7. Formal vs Informal Training Evaluation (Choosing Approach)
  8. Formative vs Summative Evaluation (Distinguishing Training Outcomes)
  9. In-house vs External Evaluation (Choosing Evaluators)
  10. Learning Outcomes: Expected vs Achieved (Comparing Results)
  11. Objective vs Subjective Evaluation (Bias in Training)
  12. Reaction vs Learning Evaluation (Levels of Assessment)
  13. Top-down vs Bottom-up Evaluation (Organizational Approach)

Data collection methods

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

  1. Reaction vs Learning Evaluation (Levels of Assessment)
  2. Formal vs Informal Training Evaluation (Choosing Approach)
  3. Custom vs Standard Evaluation Forms (Choosing Tools)
  4. Qualitative vs Quantitative Objectives (Setting Outcomes)
  5. Baseline vs Follow-up Evaluation (Measurement Timing)
  6. Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)
  7. What is an effective evaluation design for training programs? (6 Common Questions Answered)
  8. In-house vs External Evaluation (Choosing Evaluators)
  9. Performance Metrics vs Learning Metrics (Measurement in Training)
  10. Top-down vs Bottom-up Evaluation (Organizational Approach)

Data-driven analysis

  1. Objective vs Subjective Evaluation (Bias in Training)

Data-driven decision making

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

  1. Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  2. Top-down vs Bottom-up Evaluation (Organizational Approach)
  3. Performance Metrics vs Learning Metrics (Measurement in Training)
  4. Qualitative vs Quantitative Objectives (Setting Outcomes)
  5. How does the charismatic theory of leadership influence career advancement strategies? (5 Main Questions Answered)
  6. Reaction vs Learning Evaluation (Levels of Assessment)

Data privacy and security considerations

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

  1. 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.

  1. In-house vs External Evaluation (Choosing Evaluators)

Data visualization

  1. Direct vs Indirect Evaluation Methods (Choosing Tools)
  2. How can I pursue paid research to further my professional development goals? (6 Common Questions Answered)

Data visualization techniques

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

  1. Formal vs Informal Training Evaluation (Choosing Approach)
  2. Custom vs Standard Evaluation Forms (Choosing Tools)

Data visualization tools

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

  1. 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.

  1. What is the contingency theory of leadership? (6 Common Questions Answered)

Decision-making processes

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

  1. Custom vs Standard Evaluation Forms (Choosing Tools)
  2. What role does cognitive resource theory play in setting and achieving professional goals? (5 Main Questions Answered)
  3. Top-down vs Bottom-up Evaluation (Organizational Approach)
  4. What is the contingency theory of leadership? (6 Common Questions Answered)
  5. How does Fiedler’s Cognitive Resource Theory relate to professional development goals? (5 Main Questions Answered)
  6. Intrinsic vs Extrinsic Evaluation Metrics (Capturing Value)
  7. What methods should I use for self-evaluation of work performance? (6 Common Questions Answered)

Delayed feedback

  1. Continuous vs End-point Evaluation (Feedback Timing)

Delayed monitoring

  1. Continuous vs End-point Evaluation (Feedback Timing)

Delayed Outcomes

  1. Training Impact: Immediate vs Delayed (Timing Effects)

Delayed training effects

  1. Training Impact: Immediate vs Delayed (Timing Effects)

Deliberate practice

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

  1. Long-term vs Short-term Training Goals (Setting Objectives)

Delivery evaluation

  1. Content vs Delivery Evaluation (Training Components)

Delivery methods

  1. Training Effectiveness vs Efficiency (Understanding Impact)
  2. Content vs Delivery Evaluation (Training Components)
  3. Competency-based vs Task-based Objectives (Training Focus)
  4. Training Needs: Current vs Future (Strategic Evaluation)
  5. How do criteria deficiency, relevance, and contamination affect professional development goals? (5 Main Questions Answered)
  6. Formal vs Informal Training Evaluation (Choosing Approach)
  7. How do I create a comprehensive training and development syllabus that meets my needs? (6 Common Questions Answered)
  8. How do you evaluate training programs and courses? (6 Common Questions Answered)

Demographic questions

  1. Direct vs Indirect Evaluation Methods (Choosing Tools)

Dependent variable

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

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

Descriptive statistics

Statistical methods used to summarize and describe data.

  1. Training Evaluation: Quantitative vs Qualitative Data (Choosing Methods)

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.

  1. 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.

  1. Formal vs Informal Training Evaluation (Choosing Approach)

Direct costs

The expenses directly associated with a program or activity.

  1. Reaction vs Learning Evaluation (Levels of Assessment)

Direct evaluation methods

  1. Direct vs Indirect Evaluation Methods (Choosing Tools)

Direction

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

  1. Realistic vs Stretch Objectives (Setting Goals)
  2. Long-term vs Short-term Training Goals (Setting Objectives)
  3. Behavioral vs Cognitive Objectives (Training Focus)
  4. Knowledge vs Skill Training Objectives (Setting Goals)
  5. Learning Outcomes: Expected vs Achieved (Comparing Results)
  6. Competency-based vs Task-based Objectives (Training Focus)
  7. Content vs Delivery Evaluation (Training Components)
  8. Formative vs Summative Evaluation (Distinguishing Training Outcomes)
  9. Why is it important to set training objectives when striving for success professionally? (5 Main Questions Answered)
  10. Individual vs Group Evaluation (Assessing Performance)
  11. Qualitative vs Quantitative Objectives (Setting Outcomes)
  12. Top-down vs Bottom-up Evaluation (Organizational Approach)
  13. Training Transfer vs Training Retention (Achieving Outcomes)

Disclosure

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

  1. In-house vs External Evaluation (Choosing Evaluators)

Discrimination

  1. Objective vs Subjective Evaluation (Bias in Training)
  2. Training Needs: Current vs Future (Strategic Evaluation)

Diversity and inclusion initiatives

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

  1. Training Needs: Current vs Future (Strategic Evaluation)

Diversity and inclusion training

  1. Objective vs Subjective Evaluation (Bias in Training)

Documentation of all aspects of the evaluation process

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

  1. In-house vs External Evaluation (Choosing Evaluators)

Documentation procedures

The process of recording and storing evaluation data and information.

  1. 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.

  1. 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.

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

Dynamic evaluation

  1. Continuous vs End-point Evaluation (Feedback Timing)