analysis, presentation, and uses of data, part i

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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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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 Presentation

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Page 1: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

Analysis, Presentation, and Uses of Data, Part I

Page 2: Analysis, Presentation, and Uses of  Data,  Part I

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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Page 3: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

Analysis: The Link between Data and Understanding

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Page 4: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

What surveys give us:

Data

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Page 5: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 6: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

How do we go from data…

to assessment?

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Page 7: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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

Source: www.cartoonstock.com 7

Page 8: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 9: Analysis, Presentation, and Uses of  Data,  Part I

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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Page 10: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 11: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

Role of Analyst

Judgment

Experience

Understanding of situation

Technical ability

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Page 12: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 13: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 14: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

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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Page 15: Analysis, Presentation, and Uses of  Data,  Part I

Copyright 2010, The World Bank Group. All Rights Reserved.

Quantitative analysis

Measures of central tendency– Mean– Median– Mode

Measures of dispersion– Range– Standard deviation

Measures of association

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