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	Thesis Writing
	Service Quality
	Lean / Six Sigma
	Total Quality Management
	Healthcare Management
	APQP / PPAP
	Workshops / Seminars

Quality Yield Productivity (ML) Quality Yield Productivity (SL) Training Needs Analysis Staff Performance Evaluation Statistical Process Control Total Productive Maintenance Audit Management Document Control ISO Implementation Toolkit Attendance Monitoring Inventory Monitoring for Stock Inventory Monitoring for Finished Goods Utilities

Seven Quality Control Tools New Quality Control Tools Project Selection Tools Advanced Quality Techniques Voice Of Customer Quality Function Deployment Failure Mode Effects Analysis Statistical Process Control Advanced Statistical Techniques Measurement Systems Analysis Hypothesis Testing Distributions Design of Experiments Control Plan Methodology Dynamic Control Plan Production Part Approval Process Service Quality Tools Healthcare Clinical Research Design Business Thesis Writting Reliability and Validity Classical Design Robust Design Multivariate Analysis Monte Carlo Simulation

5S Housekeeping Seven Quality Control Tools Design of Experiments Failure Mode Effects Analysis Just In Time Mistake Proofing Measurement System Analysis Process Flow Chart Quality Function Deployment Statistical Process Control Hypothesis Production Part Approval Process Voice of Customer Process Work Instruction Standard Operating Procedure Process Capability Control Plan Methodology Dynamic Control Plan Service Quality Total Productive Maintenance Productivity Tracking Healthcare Six Sigma Training Needs Analysis Staff Performance Evaluation Market Research Visual Management Business Thesis Writting

Thesis Awareness Thesis Outline Thesis Mindset Thesis Proposal Thesis Writing

Basic Practitioner Classical Intermediate Advance Dynamic Characteristics Problem Solving

QFD (2 days) QFD (3 days)

Basic Practitioner Intermediate Advance Online Quality Control

Service Quality Customer Complaints Customer Satisfaction Survey Managing Customer Service Delivering Customer Service Internal Customer Satisfaction Customer Loyalty Calming Upset Customers Telephone Techniques Counter Service Assertive Behavior

7 QC Tools (1 day) 7 QC Tools (2 days)

Prototype Control Plan Pre-Launch Control Plan Production Control Plan

Basic Advance

Root Cause Analysis Incident Reporting HFMEA Cycle Time Reduction Clinical Research

Six Sigma Champion Six Sigma Yellow Belt Six Sigma Green Belt Six Sigma Black Belt

Balanced Scorecard Net Promoter Score Benchmarking

Reliabilty & Validity

This software module consists of the following templatized tools and techniques:

Internal Consistency This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses. The data is then used to calculate the Inter-Item
Inter Item This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses. The data is then used to calculate the correlation among the items from which the overall Inter-Item Reliability is calculated.
Item Total This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses. The data is then used to calculate the correlation among the items and item-totals from which the overall Item-Total Reliability is calculated.
Cronbach This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses. The data is then used to calculate the Cronbach Alpha Reliability.
Equivalence The Equivalence Reliability applet tests if two questionnaires are equivalent. The applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Equivalence Reliability.
Stability The Stability Reliability applet tests if two questionnaire response are stable over a period of time. The applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Stability Reliability.
Convergent The Convergent Validity applet tests if two measures (e.g. respondents answer and observers answer) both converge on the measured phenomenon (e.g. sleep). This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Convergent Reliability.
Concurrent The Concurrent Validity applet tests if two measurement methods concur. This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Concurrent Reliability.
Predictive The Predictive Validity applet tests if a measurement method can adequately predict the performance at a later time. This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Predictive Reliability.
Divergent The Divergent Validity applet tests if two phenomena (e.g. anger and depression) can be distinguished by two measures (e.g. questionnaire for anger and questionnaire for depression). This applet allows you to create a set of questionnaire items using short and long description. It also allows you to add respondents and their responses for two item sets (Data A and Data B). The data is then used to calculate the Divergent Reliability.
Cohen Kappa Cohens kappa coefficient is a statistic which measures inter-rater agreement for qualitative (categorical) items. It is a more robust measure than simple percent agreement calculation
Fleiss Kappa Fleiss kappa is a statistical measures the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. The measure calculates the degree of agreement in classification over that which would be expected by chance.
Content Validity Ratio Content Validity Ratio refers to the extent to which a measure represents all facets of a given construct. It is essentially a method for gauging agreement among raters or judges regarding how essential a particular item is.
Content Validity Index Content validity refers to how accurately an assessment or measurement tool taps into the various aspects of the specific construct in question. In other words
Rasch Analysis Rasch Analysis is a method of evaluating a questionnaire so that a person responding to a set of items is assessed independent of the assessor i.e. invariance of comparisons.