Educ 190_Data Analysis and Collection Tools

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  • Saan ginagamait? Assessment= scores, research
  • Qualitative research explores attitudes, behaviour and experiences through such methods as interviews or focus groups. It attempts to get an in-depth opinion from participants. As it is attitudes, behaviour and experiences which are important, fewer people take part in the research, but the contact with these people tends to last a lot longer. Under the umbrella of qualitative research there are many different methodologies. Quantitative research generates statistics through the use of large-scale survey research, using methods such as questionnaires or structured interviews. If a market researcher has stopped you on the streets, or you have filled in a questionnaire which has arrived through the post, this falls under the umbrella of quantitative research. This type of research reaches many more people, but the contact with those people is much quicker than it is in qualitative research.
  • Surveys: gina Post fb Surveymonkey:sample
  • Manyeyes:Sona Gapminder:link
  • Google Trends: Presidentiables SIP
  • Graphs: Line graphs- show change over time, bar graphs for comparisons, pie charts- dristribution sa isang whole
  • Educ 190_Data Analysis and Collection Tools

    1. 1. Data Collection and Analysis Tools
    2. 2. Definition <ul><li>Data </li></ul><ul><ul><li>- refers to groups of information that represent the qualitative or quantitative attributes of a variable or set of variables </li></ul></ul>
    3. 3. Definition <ul><li>Data Collection and Analysis </li></ul><ul><li>- Data are collected, created, and kept for the purpose of analysis </li></ul><ul><li>- Without analysis, it’s just a bunch of bits </li></ul>
    4. 4. Qualitative Research <ul><li>explores attitudes, behaviour and experiences </li></ul><ul><li>Examples: </li></ul><ul><li>Case Studies </li></ul><ul><li>Interviews </li></ul><ul><li>Surveys </li></ul><ul><li>Content Analysis </li></ul><ul><li>FGDs </li></ul>
    5. 5. Quantitative Research <ul><li>Information that can be expressed in numerical terms, counted, or compared on a scale </li></ul><ul><li>can be analysed using statistical methods , and results can be displayed using tables, charts, histograms and graphs </li></ul><ul><li>Experiments </li></ul><ul><li>Questionnaires </li></ul><ul><li>Surveys </li></ul><ul><li>Content Analysis </li></ul>
    6. 6. DATA COLLECTION AND ANALYSIS TOOLS
    7. 7. Data Collection Tools <ul><li>Online Surveys/Questionnaire Tools </li></ul><ul><li>http://www.surveymonkey.com </li></ul><ul><li>http://www.surveygizmo.com </li></ul><ul><li>http://www.zoomerang.com </li></ul><ul><li>Google Docs </li></ul>
    8. 8. Data Collection Tools <ul><li>Swivel </li></ul><ul><li>Swivel is a website where people share reports of charts and numbers. </li></ul>http://www.swivel.com/ http://www.gapminder.org/for-teachers/ http://manyeyes.alphaworks.ibm.com/manyeyes
    9. 10. Data Collection Tools <ul><li>Google Trends </li></ul><ul><li>- shows how often a particular search-term is entered relative to the total search-volume across various regions of the world, and in various languages. </li></ul>
    10. 13. Data Collection and Analysis Tools <ul><li>Excel </li></ul><ul><li>Use graphs to demonstrate comparisons </li></ul><ul><li>Progress tracking charts are easy, visual and can be colorful and eye-catching </li></ul><ul><li>Descriptive, time-sequence, process, cause-effect, and other patterns can be seen using Excel features. </li></ul>
    11. 14. Tools <ul><li>Excel </li></ul>Descriptive Statistics - mean, median, mode, standard deviation, standard error, confidence interval Graphing data - scatter graphs, bar graphs, line graphs, pie charts
    12. 15. Excel <ul><li>Association statistics </li></ul><ul><li>- Pearson coefficient, Spearman coefficient linear regression </li></ul>Comparative statistics - paired and unpaired t-test, Mann-Whitney U-test, ANOVA Frequency statistics - χ2- test χ2- test of association
    13. 16. Tools <ul><li>Winstat </li></ul><ul><li>- WinSTAT is the statistics Add-In for Microsoft Excel </li></ul><ul><li>http://www.winstat.com/english/download/download.htm </li></ul><ul><li>http://statpages.org </li></ul><ul><li>http://www.mathtools.net/Excel/Statistics/index.html </li></ul><ul><li>http://www.xlstat.com/ </li></ul>
    14. 17. Tools <ul><li>Open Stat </li></ul><ul><li>- a free software package for performing statistical analyses. It is relatively simple to use and you can paste in data from Microsoft Excel. It supports a variety of simple to complex analysis procedures (Frequencies, T-Test, ANOVA, Multiple Regression, Factor Analysis, etc). </li></ul>
    15. 18. Tools <ul><li>http://www.chartle.net/ </li></ul><ul><li>http://www.lovelycharts.com/ </li></ul><ul><li>http://nces.ed.gov/nceskids/createagraph/default.aspx </li></ul>
    16. 19. Others <ul><li>www.scirus.com </li></ul><ul><li>Google Scholar – A search engine for scholarly (research) papers. </li></ul><ul><li>Research Methods Knowledge Base </li></ul><ul><li>– A web-based textbook that introduces the user to many aspects of social research methods: forming research questions, sampling, measurement, research design, data analysis, validity, reliability, ethics, etc. </li></ul><ul><li>http://www.statsoft.com/textbook/ </li></ul>
    17. 20. Data Collection Tools <ul><li>VistaMetrix </li></ul><ul><ul><li>VistaMetrix provides an easy way to extract useful numbers from graphical images, especially when the data used to produce an image is unavailable. </li></ul></ul><ul><ul><li>This includes graphs, maps, or other images that might be scanned, downloaded from the Internet, or captured as digital photographs or video files. </li></ul></ul>
    18. 21. Data Collection Tools <ul><li>What can you do with VistaMetrix? </li></ul><ul><ul><li>1) Extract values from continuous or discrete graphs. It handles multiple data sets and graphs that have been tilted due to scanning. </li></ul></ul><ul><ul><li>2) Measure distance and area on multiple, curved paths. Along these paths you can place annotated markers that show intermediate distances. </li></ul></ul><ul><ul><li>3) Measure angles and straight-line distances. </li></ul></ul><ul><ul><li>4) Record the color values at multiple points in the image. </li></ul></ul>
    19. 22. <ul><li>shdkahd </li></ul>
    20. 23. <ul><li>Dhh </li></ul>
    21. 24. Data Analysis Tools <ul><li>MATLAB </li></ul><ul><ul><li>Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, and Fortran. </li></ul></ul><ul><ul><li>MATLAB language </li></ul></ul>
    22. 27. Data Analysis Tools <ul><li>GNU Octave </li></ul><ul><ul><li>A high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments </li></ul></ul><ul><ul><li>Octave Language </li></ul></ul>
    23. 29. Data Collection Tool <ul><li>ROOT </li></ul><ul><li>PAW </li></ul><ul><li>StatSoft </li></ul><ul><li>Scilab </li></ul>
    24. 30. Data Collection Tool <ul><li>SPSS </li></ul><ul><ul><li>a computer program used for statistical analysis in social science. </li></ul></ul><ul><ul><li>It is used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations and others. </li></ul></ul>
    25. 31. Data Collection Tool <ul><li>SPSS </li></ul><ul><ul><li>Statistics included in the base software: </li></ul></ul><ul><ul><ul><li>Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics </li></ul></ul></ul><ul><ul><ul><li>Bivariate statistics: Means, t- test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests </li></ul></ul></ul><ul><ul><ul><li>Prediction for numerical outcomes: Linear regression </li></ul></ul></ul><ul><ul><ul><li>Prediction for identifying groups: Factor analysis, cluster analysis </li></ul></ul></ul>
    26. 33. Advantages <ul><li>Capability for understanding dynamic developments in a program as it evolves </li></ul><ul><li>Awareness of time and history </li></ul><ul><li>Availability of software for particular set of data </li></ul><ul><li>Programs can cope with both multiple codes and over-lapping codes which would be very difficult for the researcher to cope with without the aid of a computer. </li></ul>
    27. 34. Advantages <ul><li>Some software can conduct multiple searches in which more than one code is searched much more quickly and efficiently than by the researcher. </li></ul><ul><li>Programs can pick out instances of pre-defined categories which have been missed by the researcher during the initial analysis. </li></ul><ul><li>Computers can be used to help the researcher overcome ‘analysis block’. </li></ul>
    28. 35. Disadvantages <ul><li>Software can only support the intellectual processes of the researcher – they cannot be a substitute for these processes. </li></ul><ul><li>The software might be beyond an individual’s budget. </li></ul><ul><li>User-error can lead to undetected mistakes or misleading results. </li></ul><ul><li>Using computers can lead to an over-emphasis on mechanical procedures </li></ul><ul><li>Abundance of codes to memorize </li></ul>

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