Management
MANAGEMENT
FCSC DIPLOMA PROFESSIONAL PROFILE 2:
Synopses
DATA AND FIELD MANAGEMENT
FCSC Diploma Module 2.1
FCSC DIPLOMA
Data collection design and operation
• Introduction to data collection design and operation
• Target populations, sampling frames, and coverage error - censuses versus surveys, populations and frames, coverage properties of sampling frames, alternative frames for the target population
• Sources of error in statistical operations - sampling and non-sampling errors, non-response, coverage, measurement, and processing errors
• Sampling surveys - an overview of sample designs, longitudinal surveys versus cross-sectional surveys
• Modes of data collection - personal interviews, postal surveys, phone surveys, web surveys
• Issues related to data collection methods - self-completion questionnaires, degrees of interviewer involvement, degrees of privacy
• Mixed mode surveys
• Choosing the most appropriate method of data collection
• Survey interviewing - types of interview, increasing response rate and data quality, and tips and techniques
• Managing fieldwork - organisation of data collection, public relations, preparation of data collection procedures, listing, conducting interviews and monitoring quality
• Formulation and classification of questions
• Evaluating survey questions
• Making questionnaires suitable for data processing and analysis
• Post-collection processing of survey data - introduction, coding, entering numerical data into files, editing
FCSC Diploma Module 2.2
Data quality management
• Definition of quality in statistics
• European statistics code of practice (ESCoP)
• Main concepts of quality dimensions
• Product quality and quality reporting
• Tools for measuring product quality
• Process quality
• Tools for measuring process quality components - brainstorming, current best methods, technical tools, auditing, and benchmarking
• Introduction to quality management and quality frameworks
• Quality assessment framework (QAF)
• Common assessment framework (CAF)
• Total quality management (TQM)
• European foundation for quality management (EFQM)
• Balanced scorecard management tool (BSC)
• International standards organisation (ISO9001)
• Tools for measuring perceptions of various actors - self-assessments, auditing, customer satisfaction, public opinion, and staff opinion
• Strategic management and policy
FCSC Diploma Module 2.3
Statistical survey planning and questionnaire design
• Introduction to statistical surveys
• Data collection with surveys - planning the steps of a statistical survey, overview of sampling designs, and sources of non-sampling error in statistical surveys
• The cognitive model in answering questions - objectives, the general model of comprehension-retrieval-judgment-reporting
• The conceptional frame in questionnaire design - objectives-concepts-definitions, stratification and methods for conceptualisation and operationalisation, questionnaire schemes, designing the variables and having an analysis plan, and the impact of data collection modes on the questionnaire
• Writing the questions in questionnaire design - principles for writing questions, types of question, question formats, measurement scales, response categories, question phrasing, and designing questionnaire flow
• Visual design in questionnaire design - visual design elements, emotional level of visual design, and functional level of visual design
• Methods for testing the questionnaire - pre-field testing methods, field testing methods, and post-field testing methods
• Specificities of electronic surveys - web survey methodology, electronic questionnaire design and implementation, transition to electronic questionnaires, electronic questionnaire structure, layout, and functionality and usability testing
FCSC Diploma Module 2.4
Data storage and retrieval
• Relational database management systems (RDBMS)
• Data normalisation
• Database design
• Create, read, update, delete (CRUD) operations
• Creation of views
• Online transaction processing (OLTP) and online analytical programming (OLAP) databases
• The role of data warehouses as a support for analytics
• Multidimensional models and the architecture of data warehouses
• Implementation of the extract, transform, load (ETL) pipeline to retrieve data from the OLTP layers to OLAP layers
• Complex OLAP operations to support the analytics process over the data cube abstraction
• The main challenges of storing big data
• The impact of big data solutions in different technological applications
Data Management
DATA MANAGEMENT
PROFILE 2:
Synopses
DATA AND FIELD MANAGEMENT
FCSC Diploma Module 2.1
Data collection design and operation
• Introduction to data collection design and operation
• Target populations, sampling frames, and coverage error - censuses versus surveys, populations and frames, coverage properties of sampling frames, alternative frames for the target population
• Sources of error in statistical operations - sampling and non-sampling errors, non-response, coverage, measurement, and processing errors
• Sampling surveys - an overview of sample designs, longitudinal surveys versus cross-sectional surveys
• Modes of data collection - personal interviews, postal surveys, phone surveys, web surveys
• Issues related to data collection methods - self-completion questionnaires, degrees of interviewer involvement, degrees of privacy
• Mixed mode surveys
• Choosing the most appropriate method of data collection
• Survey interviewing - types of interview, increasing response rate and data quality, and tips and techniques
• Managing fieldwork - organisation of data collection, public relations, preparation of data collection procedures, listing, conducting interviews and monitoring quality
• Formulation and classification of questions
• Evaluating survey questions
• Making questionnaires suitable for data processing and analysis
• Post-collection processing of survey data - introduction, coding, entering numerical data into files, editing
FCSC Diploma Module 2.2
Data quality management
• Definition of quality in statistics
• European statistics code of practice (ESCoP)
• Main concepts of quality dimensions
• Product quality and quality reporting
• Tools for measuring product quality
• Process quality
• Tools for measuring process quality components - brainstorming, current best methods, technical tools, auditing, and benchmarking
• Introduction to quality management and quality frameworks
• Quality assessment framework (QAF)
• Common assessment framework (CAF)
• Total quality management (TQM)
• European foundation for quality management (EFQM)
• Balanced scorecard management tool (BSC)
• International standards organisation (ISO9001)
• Tools for measuring perceptions of various actors - self-assessments, auditing, customer satisfaction, public opinion, and staff opinion
• Strategic management and policy
FCSC Diploma Module 2.3
Statistical survey planning and questionnaire design
• Introduction to statistical surveys
• Data collection with surveys - planning the steps of a statistical survey, overview of sampling designs, and sources of non-sampling error in statistical surveys
• The cognitive model in answering questions - objectives, the general model of comprehension-retrieval-judgment-reporting
• The conceptional frame in questionnaire design - objectives-concepts-definitions, stratification and methods for conceptualisation and operationalisation, questionnaire schemes, designing the variables and having an analysis plan, and the impact of data collection modes on the questionnaire
• Writing the questions in questionnaire design - principles for writing questions, types of question, question formats, measurement scales, response categories, question phrasing, and designing questionnaire flow
• Visual design in questionnaire design - visual design elements, emotional level of visual design, and functional level of visual design
• Methods for testing the questionnaire - pre-field testing methods, field testing methods, and post-field testing methods
• Specificities of electronic surveys - web survey methodology, electronic questionnaire design and implementation, transition to electronic questionnaires, electronic questionnaire structure, layout, and functionality and usability testing
FCSC Diploma Module 2.4
Data storage and retrieval
• Relational database management systems (RDBMS)
• Data normalisation
• Database design
• Create, read, update, delete (CRUD) operations
• Creation of views
• Online transaction processing (OLTP) and online analytical programming (OLAP) databases
• The role of data warehouses as a support for analytics
• Multidimensional models and the architecture of data warehouses
• Implementation of the extract, transform, load (ETL) pipeline to retrieve data from the OLTP layers to OLAP layers
• Complex OLAP operations to support the analytics process over the data cube abstraction
• The main challenges of storing big data
• The impact of big data solutions in different technological applications
