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Analyzing data: Rank. Review. What is synthesis methodology?, why do we need that? What is synthesis for grading? Quantitative Qualitative How to merge all the conclusions to get the final grade?. Synthesizing for „ranking“. What are „ranking“ evaluations? Examples? - PowerPoint PPT Presentation
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Analyzing data: Rank
What is synthesis methodology?, why do we need that?
What is synthesis for grading? Quantitative Qualitative How to merge all the conclusions to get
the final grade?
Review
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What are „ranking“ evaluations? Examples? Difference comparing with „grading“
evaluation?
Synthesizing for „ranking“
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Qualitative Qualitative weight and sum (QWS)
Quantitative Numerical weight and sum (NWS)
Qualitative and quantitative
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It is a quantitative synthesis method for summing evaluand performance across multiple criteria.
It includes Assign numerical importance weight and a
numerical performance score to each criteria (dimension)
Multiply weights by performance scores Sum these products The summing result represents the overall
merit of the evaluand
Numerical Weight and Sum (NWS)
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It fits for There are only a small number of criteria There is some other mechanism for taking bars
into account (why) There is defensible needs-based strategy for
ascribing weights.
Numerical Weight and Sum (NWS)
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A comparative evaluation on three different interventions for training managers
A mountain retreat featuring interactive sessions with multiple world-class management gurus
An in-house training and mentoring program run by human resources,
A set of videos and latest book on management from management guru Peter Drucker
Training program evaluation
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Needs assessment for this evaluation Bear in mind that this is a comparison evaluation How do you want to compare these programs, what are
the key features of the programs Identify the dimension of merit (Process,
Outcomes and Cost) Decide the importance of the merit (giving
weights to merits, based on needs?)
See Table 9.8
Training program evaluation
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Next steps Data collection (what are your experiences for
your project data collection?) Data analysis
Rate their performance based on pre-defined ratings: excellent, very good, good, fair, or poor) (see Table 9.9 for this example)
Convert weights into numbers (see Table 9.10) Convert ratings into numbers (see Table 9.10)
Synthesis step (how? See Table 9.11)
How to interpret Table 9.11
Training program evaluation
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Do it by your own hand: Converting Table9.9 to Table9.10 (defining your own
numeric value for importance and grading scales) and try to find out which program is the best comparing with others.
If suddenly, the cost criteria become extremely important, will this change the final result? Work on your own Form the pair and discussion
Pros and cons for NWS?
Exercise
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It is non-numerical synthesis methodology for summing the performances of an evaluand on multiple criteria to determine overall merit.
It is a ranking method for determining the relative merit of two or more evaluands
It is not suitable for grading It fits for
Personnel selection, products/service/proposal selection
Qualitative Weight and Sum (QWS)
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Step1: Determine importance in terms of maximum possible value How (see Chapter 7, six strategies) Table 9.12 (compare with Table 9.8)
Step2: Set bars Bar is the cut point between acceptable
and unacceptable criteria. Such as: Too expensive to afford Too long away from their work
QWS
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Step3: Create value determination rubrics Rubrics are level-based (see Chapter 8)
Description on each level, how to deal with bar? Unacceptableno noticeable valuemarginally
valuablevaluableextremely valuable Such as what performance would look like at each level
Each dimension can have its own rubrics or each group of dimensions can have their own rubrics
Each group of questions can have their own rubrics Synthesis step can have its own rubrics
Example: Rubric for rating finanical cost of training (see table 9.14)
QWS
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Step4: Check equivalence of value levels across dimensions The validity of the QWS method is highly
dependent on ensuring the rough equivalence on the value levels defined for each dimension
For example, whether table 9.14 and table 9.15 have the roughly equivalent value levels
How to do that? Put them into a matrix. See table 9.16
QWS
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Step5: rate value of actual performance on each dimension Rating table 9.9 according to rubric
(table9.16) See Table 9.17
Step6: tally the number of ratings at each level and look for a clear winner For each program, how many symbols
they got? Throw out programs with unacceptable
ratings, see whether there is a clear winner?
QWS
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Step7: refocus Delete the rows with similar score (see
table9.18) Count how many symbols each of them
got Can we find the clear winner?
Yes or no? Why? How should we go further?
QWS
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