analysis, presentation, and uses of data, part i
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Analysis, Presentation, and Uses of Data, Part I. Overview. Data analysis Importance of objective data analysis How to analyze labor statistics Visual presentation of data Users and uses of labor statistics Dissemination. Analysis : The Link between Data and Understanding. - PowerPoint PPT PresentationTRANSCRIPT
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Copyright 2010, The World Bank Group. All Rights Reserved.
Analysis, Presentation, and Uses of Data, Part I
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Copyright 2010, The World Bank Group. All Rights Reserved.
Overview
Data analysis
Importance of objective data analysis
How to analyze labor statistics
Visual presentation of data
Users and uses of labor statistics
Dissemination
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Copyright 2010, The World Bank Group. All Rights Reserved.
Analysis: The Link between Data and Understanding
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What surveys give us:
Data
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What we want: Answers to questions
Are people able to find work?
Are good jobs available?
Who is faring best in the labor market?
Who is struggling?
How does the current situation compare to the past?
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How do we go from data…
to assessment?
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Why do analysis?
Educate officials, policymakers, and others:
• Describe a situation• Classify the component parts of
a situation• Help assess why something
happened• Forecast/project what may
happen in the future
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Objective Analysis
Impartiality evident by values in action Unbiased in subject matter and presentation
– Is the glass half full or half empty?• It is a .5 liter glass with 250 ml of liquid
Scientific and transparent methodsEqual access to data for all users
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Copyright 2010, The World Bank Group. All Rights Reserved.
Data Analysis
Focus on data analysis at these times:
• When the survey is in the design phase,• When detailed plans are being made for data collection,• After the data are collected, and• As the report is being written and reviewed.
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Data Analysis
Know the limitations of the data:
– Sample size– Trends– Sampling error– Nonsampling error– Impacts of redesigns and other changes– Breaks in a series
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Role of Analyst
Judgment
Experience
Understanding of situation
Technical ability
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Levels of analysis
Descriptive– simplest; present facts; summarization
Causal– examine selected variables; more difficult to attribute
causation
Projection and forecasting– most complex
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Levels of analysis
Descriptive– simplest; present facts; summarization
Causal– examine selected variables; more difficult to attribute
causation
Projection and forecasting– most complex
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Levels of analysis
Descriptive– simplest; present facts; summarization
Causal– examine selected variables; more difficult to attribute
causation
Projection and forecasting– most complex
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Quantitative analysis
Measures of central tendency– Mean– Median– Mode
Measures of dispersion– Range– Standard deviation
Measures of association
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