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2014/02/24

Bibliography

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Bibliography 

General
Bollen, K.A. (1989). Structural Equations with Latent Variables. Wiley, New York. 
Brown, T.A. (2006). Confirmatory Factor Analysis for Applied Research. The Guilford Press, New York. 
Kelley, T.L. (1928). Crossroads in the Mind of Man. Stanford University Press, Stanford, California. 
OECD (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. "http://goo.gl/xzxWn" cannot access, http://www.oecd.org/std/42495745.pdf. 
SEI, SCAMPI Upgrade Team (2006).Standard CMMI. Appraisal Method for Process Improvement (SCAMPISM) A, Version 1.2: Method Definition Document (CMU/SEI-2006-HB-002). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University. http://goo.gl/ZotHb. 
Trochim, W.M.K., and Donnelly, J.P. (2001). Research Methods Knowledge Base. Atomic Dog Pub., Online. 

Develop construct 
Bollen, K.A. (1989). Structural Equations with Latent Variables. Wiley, New York. 
Hattie, J. (1985). Methodology review: assessing unidimensionality of tests and ltenls. Applied Psychological Measurement 9(2) 139-164. 
Johnson, R., Rosen, C., and Chang, C.-H. (2011). To aggregate or not to aggregate: Steps for developing and validating higher-order multidimensional constructs. Journal of Business and Psychology 26(3) 1-8. 
Law, K.S., Wong, C.-S., and Mobley, W.H. (1998). Toward a taxonomy of multidimensional constructs. The Academy of Management Review 23(4) 741-755. 
Maxwell, J.A. (2005). Qualitative Research Design: An interactive Approach (2nd Ed.). Sage Publications, Thousand Oaks, CA. 
Miles, M.B., and Huberman, A.M. (1994). Qualitative Data Analysis. Sage Publications, Thousand Oaks, CA. 
Gerbing, D.W., and Anderson, J.C. (1988). An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment. Journal of Marketing Research 25(2) 186-192. 

Operationalization and measurement models 
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, XX(1) 37-46. 
Lawshe, C.H. (1975). A quantitative approach to content validity. Personnel Psychology 28(4) 563-575. 
Diamantopoulos, A. (2011). Incorporating formative measures into covariance-based structural equation  models. MIS Quarterly 35(2) 335-358. 
Diamantopoulos, A., and Winklhofer, H.M. (2001). Index construction with formative indicators: An alternative  to scale development. Journal of Marketing Research 38(2). 269-277. 
Edwards, J., and Bagozzi, R. (2000). On the nature and direction of relationships between constructs and measures. Psychological Methods 5(2). 155-174. 
Edwards, J.R. (2011). The Fallacy of Formative Measurement. Organizational Research Methods 14(2). 370 388. 
Jarvis, C.B., MacKenzie, S.B., and Podsakoff, P.M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research 30(2). 199-218. 
Petter, S., Straub, D., and Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly 31(4). 623-656. 

Aggregation 
Brannick, M.T., and Brannick, J.P. (1989). Nonlinear and noncompensatory processes in performance evaluation. Organizational Behavior and Human Decision Processes 44(1) 97-122. 
Jung, H.W. (2012). Process attribute rating and sensitivity analysis in process assessment. Journal of 
Software: Evolution and Proess 24(4) 401-419. 
Munda, G., and Nardo, M. (2006). Weighting and Aggregation for Composite Indicators. European Conference on Quality in Survey Statistics (Q2006), Cardiff, UK. 
Munda, G., and Nardo, M. (2009). Noncompensatory/nonlinear composite indicators for ranking countries: a  defensible setting. Applied Economics 41(12) 1513-1523 
Rijsdijk, S.A., Hultink, E.J., and Diamantopoulos, A. (2007). Product intelligence: its conceptualization,  measurement and impact on consumer satisfaction. Journal of the Academy of Marketing Science 35(3) 340 356. 
Saaty, T.L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research 48(1) 9-26. 
Saltelli, A. (2004). Sensitivity Analysis in practice: A Guide to Assessing Scientific Models. John Wiley & Sons Ltd, West Sussex, UK. 
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. John Wiley & Sons, West Sussex, UK. 
Yoon, K.P., and Hwang, C.-L. (1995). Multiple Attribute Decision Making: An Introduction. Sage University  Paper Series on Quantitative Applications in Social Sciences, Thousand Oaks, CA. 
Zhou, P., Ang, B.W., and Zhou, D.Q. (2010a). Weighting and aggregation in composite indicator construction: a multiplicative optimization approach. Soc Indic Res 96(1) 169.181. 
Zhou, P., Fan, L.-W., and Zhou, D.-Q. (2010b). Data aggregation in constructing composite indicators: A perspective of information loss. Expert Systems with Applications 37(1) 360-365. 

Validity tests 
Bentler, P.M., and Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88(3) 588-606. 
Bollen, K.A., Lennox, R.D., and Dahly, D.L. (2009). Practical application of the vanishing tetrad test for causal indicator measurement models: An example from health-related quality of life. Statistics in Medicine 28(10) 1524-1536. 
Bollen, K.A., and Ting, K.-F. (2000). A tetrad test for causal indicators. Psychological Methods 5(1) 3-22. 
Campbell, D.T., and Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin 56(2) 81-105. 
Carmines, E., and Zeller, R. (1979). Reliability and Validity Assessment. Sage University Paper Series on Quantitative Applications in Social Sciences, Thousand Oaks, CA. 
El Emam, K., and Birk, A. (2000). Validating the ISO/IEC 15504 measure of software requirements analysis process capability. IEEE Transcations on Software Engineering 26(6) 541-566. 
Fornell, C., and Larcker, D.F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research 18(1) 39-50. 
Hipp, J.R., Bauer, D.J., and Bollen, K.A. (2005). Conducting tetrad tests of model fit and contrasts of tetrad nested models: A new SAS macro. Structural Equation Modeling: A Multidisciplinary Journal 12(1) 76 -93. 
Jung, H.-W. (2003). Evaluating interrater agreement in SPICE-based assessments. Computer Standards & Interfaces 25(5) 477-499. 
Nunnally, J.C., and Bernstein, H.H. (2004). Psychometric Theory. 3 ed. McGraw-Hill, New York. 
SPICE Trials (1999). SPICE Phase 2 Trials Final Report. ISO/IEC JTC1/SC7/WG10. http://goo.gl/0pMK6 
Ting, K.-F. (1995). Confirmatory tetrad analysis in SAS. Structural Equation Modeling 2(2) 163-171. 
Werts, C., Linn, R., and Joreskog, K. (1974). Interclass Reliability Estimates: Testing Structural Assumptions. Educational and Psychological Measurement 34 25-33. 


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2013/07/25

One Year Goal from 2013/7/24 to 2014/7/24

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One Year Goal from 2013/7/24 to 2014/7/24

1 Contribute open source community.
I joined and/or used open source project such as MINIX, 
 GCC(Gnu), Linux and  Toppers last 30 years.

1.1 invite engineers to TOPPERS project
TOPPERS(Toyohashi/Takada OPen Platform for Embedded Real-time Systems) Project is based on the Operating System such as ITRON, ISO OSEK or other domain specific specifications. 

1.2 contribute quality activities such as HCD-NET.


2 Contribute safety system 

2.1  HAZOP


2.2 MISRA-C


3  promote Professional Engineers



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2013/07/11

ISO/IEC 15504 and ISO/IEC 33001 series

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On Process assessment and Process Improvement, there are ISO/IEC 15504 information technology - process assessment series were published from 2003 and so on.
ISO/IEC TR 15504 series were published at 1998.
After trials of TR(technical report) there were few reports about the trials.
Some good experiences about training, assessment and improvement on IPA, JISA, and JSA(Japan Standard association)

Now ISO/IEC 33001 series will be published as new standards about process assessment and improevment.

There are some technical issues.

1 Alternative practices and tailoring somethings.
There are no mechanisms on alternative practices and tailoring process, practice and other assessment indicators.

2 Mapping mechanisms and 

3 Skills and Training assessors
There may be some skill definitions, but  for procurement and self improvement assessor should be different approach/method and or skills are needed.

3.1 Skills on Assessor
1) Software Engineering
including programming language, Operating systems, Network protocols and other domain specific area such as database, timing, or others.
2) Management engineering
including Operations Research, Accounting, Industrial Engineering and others.
3) Social research
including Participant observation, Content analysis(not only document review), Questionnaire( including interview) and others.
4) Instrumentation engineer/Measurement engineering

3.2 Skills on Assessor trainer
1) Education and coaching
2) skills on assessor


4. INTACS scheme
4.1 provisional assessor
4.2 competent assessor
4.3 principal assessor
4.4 trainor
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2011/08/12

Practice, Tailoring, Trials, Report and Conformance on Process Assessment and Improvement.

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This Journal was prepared for information exchange about practice, tailoring, trials, report and conformance on process assessment and improvement.

The related document are not limited below.
ISO/IEC 15504
ISO/IEC 12207
ISO/IEC 15288
ISO/IEC 29110
ISO/IEC 20000
ISO 9000
IEC 61508
ISO FDIS 26262
ISO/IEC 17000
ISO/IEC 17020
ISO/IEC 17024
ISO/IEC 17050-1, -2
ISO/IEC Directives part1, part2
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