6.1 OVERVIEW -- MANAGING DATA ANALYSIS

In order to bring order to all the steps that have come before this one, to be able to say what was found in the course of the programme/evaluation, and to properly use the results, the data must be analysed properly. In this module, we will discuss not only the importance of data analysis, but how to do it properly, what to do exactly, and what tools to use. This information will help you to foresee and plan for limitations, avoid pitfalls, and better understand the manager's role.


OBJECTIVES

  • Provide an overview of data analysis processes, highlighting key issues for manager's attention
  • Understand key steps in quantitative and qualitative data collection and identify points for manager's attention


SESSIONS

6.1.1 OVERVIEW -- MANAGING DATA ANALYSIS

See text above, under "Outline".

FN
  • Data analysis - managing the process

    After using several core content sheets to introduce the material, we move to a group exercise and discussion on managing the data analysis process. Then we engage in an information fair on quantitative, and qualitative, data analysis in order to understand key steps. Finally, in plenary, participants revisit the data analysis process to help reinforce understanding.

    • CCS
  • Data analysis - managing the process
  • Steps in qualitative data analysis
  • Procedures for recording qualitative data
  • Organising qualitative data analysis
  • Presenting qualitative data
  • Steps in quantitative data analysis
  • Data modification procedures for quantitative analysis
  • Descriptive statistics
  • Levels of measurement
  • Bivariate analysis
  • Multivariate analysis
    • OH
  • -

    • LINKS TO OTHER SESSIONS
    SESSION 5.x - SAMPLING
    When discussing quantitative data analysis, participants must be familiar with the concept of sampling in order to discuss: 1) what analysis techniques can be applied to a given sample and 2) what problems could be caused by an inadequate sample.


    REFERENCE MATERIALS

    Source: http://www.ehr.nsf.gov/EHR/REC/pubs/NSF97-153/CHAP_4.HTM9

    Manson, Jennifer (1996). Qualitative researching. Sage, London

    Statistics without tears?Miles and Huberman

    From old module on quantitative analysis Fisher, A. et al., 1991. Handbook for Family Planning Operations Research Design, Second Edition, The Population Council: New York, pp. 64-65.

    Newcomer, K., 1994. "Using Statistics Appropriately," Handbook of Practical Program Evaluation, edited by Joseph S. Wholey et al, Jossey-Bass Publishers: San Francisco, pp. 389-406.

    Patton, M.Q., (1982). Practical Evaluations. “Chapter 10 Fundamental Principles of Data Analysis” Sage Publications. Pg.240-269 (29 pg.)
    Written from evaluation perspective. Focus is more on quantitative. Excellent demystification on what can go wrong. See recap of principles on p. 268.

    Sharon L. Caudle “Using Qualitative Approaches” in Joseph S. Wholey, et al. (ed.) Handbook of Practical Program Evaluation, Jossey-Bass Publishers: San Francisco. 1994 69-95