factors for delay in public sector projects. data collection primary variables (reasons) for delay...
TRANSCRIPT
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FACTORS FOR DELAY IN PUBLIC SECTOR
PROJECTS
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DATA COLLECTION
• PRIMARY VARIABLES (REASONS) FOR DELAY IN PUBLIC SECTOR PROJECTS WERE RESEARCHED UNDER GUIDANCE OF DR. MUKESH KUMAR BARUA (ASSISTANT PROFESSOR AT IIT ROORKEE)
• VARIABLES WERE ASSIGNED AFTER CONCLUDING AN EXHAUSTIVE SESSION OF WHY - WHY ANALYSIS
• THESE CAUSES WERE USED AS PRIMARY VARIABLE ON WHICH FACTOR ANALYSIS WAS PERFORMED
• ALL VARIABLES ARE SHOWN IN THE NEXT SLIDE
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MARKET SURVEY• 11 VARIABLE REQUIRE A MINIMUM SAMPLE SIZE OF 55 FOR EFFICIENT FACTOR
ANALYSIS
• RESPONDENTS ACROSS IIT ROORKEE WERE ASKED TO FILL THE SURVEY (RESPONDENT SIZE: 67)
• RESPONDENTS INCLUDED STUDENTS FROM DIFFERENT SECTORS LIKE COMPUTER ENGINEERS, MBA STUDENTS, PHD SCHOLARS, FACULTIES AND ADMINISTRATION PERSONNELS
• LINK TO QUESTIONNAIRE: FACTOR ANALYSIS QUESIONNAIRE
• SURVEY RESPONSES WERE MEASURED ON A LIKERT SCALE BASED ON KNOWLEDGE OF STUDENTS ON THE GIVEN SUBJECT (RESPONSES ARE SHOWN
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CORRELATION MATRIX• NULL HYPOTHESIS: VARIABLE ARE UNCORRELATED IN THE POPULATION.
CORRELATION MATRIX IS AN IDENTITY MATRIX
• CORRELATION MATRIX: DIAGNOL MATRIX SHOWING ALL CORRELATIONS BETWEEN VARIABLES
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APPROPRIATENESS OF FACTOR ANALYSIS• BARTLETT’S TEST OF SPHERICITY: USED TO EXAMINE THE HYPOTHESIS BASED
ON CORRELATION MATRIX AND CHI-SQUARE VALUE.
LARGE CHI-SQUARE VALUE SIGNIFIES REJECTION OF NULL HYPOTHESIS SIG VALUE SHOULD BE LESS THAN ALPHA VALUE
• KMO TEST: HIGH VALUE OF KMO VALUE SIGNIFIES APPROPRIATENESS OF FACTOR ANALYSIS. IF VALUE OF KMO IS LESS THAN 0.5, FACTOR ANALYSIS IS NOT APPROPRIATE
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COMMUNALITIES
• REPRESENT COMMON VARIANCE IN DATA AFTER FACTOR EXTRACTION (VALUE < 0.5) => VARIABLE IS DISCARDED IN FACTOR ANALYSIS
• PRINCIPAL COMPONENT ANALYSIS CONSIDERS TOTAL VARIANCE TO FIND MINIMUM NUMBER OF FACTORS
• COMMON FACTOR ANALYSIS CONSIDERS FACTORS BASED ON COMMON VARIANCE
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NUMBER OF FACTORS
• EIGEN VALUES: COUNT OF VARIABLE HAVING EIGEN VALUES GREATER THAN 1 REPRESENT THE NUMBER OF FACTORS
• PRIORI DETERMINATION: NO. OF FACTORS ARE PREDETERMINED
• SCREE PLOT: COMPONENT POINT WHERE SCREE STARTS TO BEGIN IN THE SCREEN PLOT DIAGRAM
• PERCENTAGE OF VARIANCE: PERCENTAGE OF VARIANCE > 60%
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FACTOR EXTRACTION• VARIABLES AFTER COMPONENT
MATRIX EXTRACTION ARE LOADED ON MORE THAN ONE FACTORS
• EG: VAR0001 IS LOADED 0.610 ON FACTOR 2 AND LOADED 0.617 ON FACTOR 4
• COMPONENT MATRIX IS ROTATED TO AVOID LOADING OF VARIABLE ON MORE THAN 1 FACTORS
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VARIMAX ROTATION• ORTHOGONAL METHOD OF COMPONENT
MATRIX ROTATION THAT MINIMIZES NUMBER OF VARIABLES WITH HIGHLOADING ON FACTORS
• ROTATION OF COMPONENT MATRIX ENHANCES INTERPRETABILITY OF FACTOR ANALYSIS
( FACTORS RESPONSIBLE FOR DELAY IN PUBLIC SECTOR PROJECTS ARE GIVEN IN NEXT SLIDE)
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FACTORS FOR DELAY IN PUBLIC SECTOR PROJECTS
• INEFFICIENT HUMAN AND TECHNICAL RESOURCES
• OPERATIONAL INCAPABILITIES
• NEPOTISM
• GOVERNMENT REGULATIONS
• POOR POLICY FRAMEWORKS
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