A PERT chart is a project management tool that provides a graphical representation of a project's timeline. The Program Evaluation Review Technique (PERT) breaks down the individual tasks of a project for analysis.
PERT The Project Evaluation and Review Technique, or PERT, is a powerful tool for analyzing projects. Using PERT charts, project managers can track progress and percent completion of the project or of individual tasks. PERT uses software to track scheduled activities and identify critical ones.
The main types of evaluation are process, impact, outcome and summative evaluation. Before you are able to measure the effectiveness of your project, you need to determine if the project is being run as intended and if it is reaching the intended audience.
TOOLS AND TECHNIQUES OF EVALUATION QUALITIES OF EVALUATION
Evaluation methods are the criteria for evaluating the success of a program or project. Evaluation methods allow the donor a way to know if you've achieved your goals and objectives.
MEASURE Evaluation developed these evaluation tools with the goal of maximizing program results through the systematic collection and analysis of information and evidence about health program performance and impact.
The three models addressed are the CIPP [Context, Input, Process and Product] Evaluation Model, the Kirkpatrick Four-Step Evaluation Framework, and the Outcome-Base Evaluation Model. These models are capable of helping decision makers assess the effectiveness and efficiency of programs and projects.
Qualitative Methods '' Qualitative data are collected through direct or participant observation, interviews, focus groups, and case studies and from written documents. Analyses of qualitative data include examining, comparing and contrasting, and interpreting patterns.
Qualitative data collection tools collect data which is best characterized as descriptive – text based data expressed in participants' own words. This kind of data track changes in participants' attitudes and perceptions, identify why and how change is happening, and are analyzed by organizing emerging themes.
Quantitative research renders statistical and numerical data. This data is collected through surveys, experiments or numerical analysis of other sources. Sampling, bias and counterfactuals are all important in quantitative evaluation.
Quantitative evaluation is mainly focused on the orientation of positivism methodologies, and more use of the scientific research paradigm. Qualitative evaluation is the expression of humanistic orientation in the research methods, trying to understand and explain the natural situation of…show more content…
How to Write an Evaluation Essay
Framework for program evaluation
an evaluation method that yields numerical indices gathered primarily from formal (objective) methods of data collection, systematic and controlled observation, and a prescribed research design.
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Quantitative methods allow you to test a hypothesis by systematically collecting and analyzing data, while qualitative methods allow you to explore ideas and experiences in depth.
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
Quantitative decisions are mostly based on statistical analysis of collected data whereas qualitative decisions are based on many algorithms like type and quality of data, factors that influence collected data, risk assessments etc.
All decisions can be categorized into the following three basic models. (1) The Rational/Classical Model....Models of Decision Making: Rational, Administrative and Retrospective Decision Making Models
The quantitative approach is to make an optimal decision by using mathematical and statistical models in a situation when the probability of all outcomes is uncertain. In so many words, in decision-making it helps managers solve complex problems.
Qualitative decision-making is based not just on the numerical statistical data but other associated factors that may have influence on the collected data. It is an in-depth analysis of all possible factors that can affect the decision-making process.
Quantitative Techniques in Decision Making | Management
16 Different decision making techniques to improve business outcomes
Decision-Making: Technique # 1. In his book, 'Economics', Paul Samuelson defines marginal analysis as the extra output that will result by adding one extra unit of any input variable, other factors being held constant. Marginal analysis is particularly useful for evaluating alternatives in the decision-making process.
Four of the most commonly cited group decision-making techniques are brainstorming, the nominal group technique, the Delphi technique, and the stepladder technique. These techniques vary in the manner in which they structure group problem solving.
During the decision making process, there are four behavioral factors that influence the decisions we make. These behavioral factors are our values, our personality, the propensity for risk, and the potential for dissonance of the decision. I will focus on the potential for dissonance.
The four different decision-making models—rational, bounded rationality, intuitive, and creative—vary in terms of how experienced or motivated a decision maker is to make a choice.
Decision-Making Models