LEARN DATA MANAGEMENT

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About Course

This course is basically a practical course and in all the topics you are expected to master every skill. Every topic is supposed to provide you with skill on how to handle research data in order to generate information to be consumed by researchers and the general public.

What Will You Learn?

  • By the end of the course you should be able to:
  • i. Demonstrate an understanding of computer applications
  • ii. Be able to prepare and make presentation of research works using appropriate computer applications
  • iii. Have basic concepts on database systems
  • iv. Be able to organize raw data for analysis
  • v. Prepare a code book and code data
  • vi. Create a SPSS data file and key in data
  • vii. Analyze data and interpret the results

Course Content

Topic 1: Introduction
Computers play a significant role in the lives of modern man. Because of their significance, it is important to have knowledge and understanding of computers, their software and uses. This topic will introduce you to computers. You will learn about basic computer terminologies, software and their applications. You will also learn how to prepare a document using MS Word. Learning outcomes Upon completion of the topic you should: i. Be conversant with basic computer terminologies ii. Have a general overview of software iii. Demonstrate an understanding of computer applications iv. Be able to create and save a document using Microsoft Word

  • Introduction
  • Basic Computer terminologies
  • Application Software
  • Microsoft Word
  • Summary

Topic 2: Presentation of Research Documents
This topic provides you with helpful guidelines on effective ways to present a research document. It will also help you acquire the skills of preparing and making a presentation using PowerPoint. It will also discuss the various types of presentation and the modes of presenting research documents.

Topic 3: Introduction to Database Systems
Business organizations, learning institutions and research bodies in today’s world, manage large volumes of data during the course of their work. Most of these organizations use databases to manage their data because of the many benefits associated with them. It is therefore important to have basic knowledge of databases to be an effective player in such information driven organizations. This topic will introduce you to database systems

Topic 4: Managing Data Files
In this topic, you will be exposed to a variety of procedures that are used to manipulate data files. The procedures include; insert/delete case, variable, sort cases, merger files, select cases and split files. Data files Data a, data b and Data 1 which you created in the topic 3 will be used to demonstrate these procedures

Topic 5: Transforming a Data File
Sometimes it is required that existing data is transformed into new variables to make it closer to our needs before analysis is done. For example, you may need to calculate the total scale scores of a variable before conducting a statistical a test on it. Two procedures; the compute and recode functions will be used to transform data in this topic. The procedures will be demonstrated using the Data 1file.

Topic 6: Normal distribution Test
Determining the frequency distribution of a variable is an important univariate procedure as it informs the selection of statistical tools that are used during data analysis. For example, before conducting a t-test one has to confirm that the parametric conditions are met. The nature of the distribution of continuous variables can be determined in using a histogram, Q-Q plots, P-P Plots and the one sample Kolmogorov-Smirnov tests. In this topic we will go through the steps that are followed when conducting these procedures in SPSS

Topic 7: Reliability Estimation
It is important to pilot research instruments as a way of ensuring their reliability. Some of the methods used to estimate the reliability coefficient of an instrument include the Cronbach alpha, Split-half, Kuder Richardson (KR) 21 and Kuder Richardson (KR) 20 formulae. These will demonstrate.

Topic 8: Hypothesis Testing with SPSS
Learning Outcomes By the end of the topic the learner should be able to: i. Describe the standard error of the difference ii. Apply one sample t test in hypothesis testing iii. Distinguish between independent sample t-test and paired sample t-test iv. Evaluate power and effect size for test of differences. v. Explain how to use SPSS to undertake test of significance

References
References Achen, C.H. (1982). Interpreting and using regression. Beverly Hills, CA: Sage. Agar, M. (1986). Speaking of ethnography. Beverly Hills, CA: Sage. Alford, R.R. (1998) The Craft of Inquiry: Theories, method, evidence. New York: Oxford University Press, Anderson, Sweeny & Williams (2003) Modern Business Statistics with Microsoft Excel. Thomson Learning, USA. Babbie, E. (1998). The practice of social research, 8th ed. Belmont, CA: Wadsworth. Bailey, K. (1987) Methods of social research, 3rd ed. New York: Free Press. Beauchamp, R.et al. (eds) (1982). Ethical issues in social science research. Baltimore: Johns Hopkins University Press. Berg, B. (2007). Qualitative research methods for the social sciences, 6th ed. Boston: Pearson. Blalock, H.M. (1979). Social statistics, 2nd ed. New York: McGraw-Hill. Burns, R. B. & Burns R. A. (2011). BusinessResearch Methods and Statistics using SPSS, London:SAGE Cohen, Louis; Manion, Lawrence; Morrison, Keith (2000) Research Methods in Education, 5th edition, London: Routledge Falmer Frankfort-Nachmias, C. and D. Nachmias (2000). Research Methods in the Social Sciences (6th edition). New York: Worth Publishers. Gupta C. B. (1980). Introduction to Statistical Methods. 9th Revised Edition, Vikas Publishing House, PV. 7 Ltd India Harvey, L. (1990). Critical social research. London: Unwin Hyman. Holt, R. and J. Turner. (eds). (1970). The methodology of comparative inquiry. New York: Free Press. Johnson J.B. and Rechard A.J. (1989).Political Science Research Methods. New Dahil. Prentice-Hall of India. Johnson, J.et.al. (2008). Political Science Research Methods, 6th ed. Washington, DC: CQ Press. King, G., R. Koehane, and Verba S. (1994). Designing social inquiry: Scientific inference in qualitative research. Princeton: Princeton University Press. Kothari C. R.(2012). Research Methodology: Methods and Techniques (2th ed.). New Age International Publishers. New Delhi. Kuhn, T. (1979). The structure of scientific revolutions, 2nd ed. Chicago: Chicago University Press. Lee Wayne, (1975). Experimental Design and Analysis. W. H. Freeman & Company, San Francisca, USA. Liebetraun, A.M. (1983).Measures of association. Beverly Hills, Sage Mcnabb,D. E. (2010). Research Methods for Political Science: Quantitative and Qualitative Approach. New Delhi. Prentice-Hall of India. Miller, D.C. (1991). Handbook of research design and social measurement, 5th ed. Newbury Park, CA: Sage. Moore, D., & McCabe, G. (2006). Introduction to the practice of statistics (4th ed.). New York: Freeman. Murray R. Spiegel and Larry J. Stephens (1998). Theory and Problems of Statistics. Third Edition. McGraw Hills. Nachmias C. F. &Nachmias D. (2008) Research Methods in Social Sciences (5thedition) St. Martin’s Press Inc. UK. Neil H Tim, (1975) Multivariate Analysis with Application in Education and Psychology. Brooks/Cole Publishing Company Monterey, California. Pages 359 - 397 Neuman, W.L. (2000). Social research methods: Qualitative and quantitative approaches, 4th ed. Boston: Allyn and Bacon. Norusis, M.J. (1986). The SPSS-X guide to data analysis. Chicago: SPSS, Inc. Posten, H. O. (1978). The robustness of the two-sample t-test over the Pearson system. Journal of Statistical Computation and Simulation, 6, 195–311. Ragin, C. and H. Becker. (eds). (1992). What is a case? Exploring the foundations of social inquiry. Cambridge: Cambridge University Press. Ramez, E. & Shamkant, B. N. (2011). Fundamentals of Database Systems 6th ed., Boston: Addison-Wesley Richard I. Levin David S. Rubin (2005) Statistics for Management (7th edition). Prentice Hall of India Private limited. New Delhi. Rubin, H.J. (1983). Applied social research. Columbus, OH: Charles E. Merrill. Smith C. and W. Konblum. (eds.) (1987). In the field. New York: Praeger, 1989. Strauss, A. Qualitative analysis for social scientists. New York: Cambridge University Press. Watkins, A., Scheaffer, R., & Cobb, G. (2004). Statistics in action: Understanding a world of data. Emeryville, CA: Key College Publishing.

Getting to know SPSS
There are a few key things to know about SPSS before you start. First, SPSS operates using a number of different screens, or ‘windows’, designed to do different things. Before you can access these windows, you need to either open an existing data file or create one of your own. So, in this chapter, we will cover how to open and close SPSS; how to open and close existing data files; and how to create a data file from scratch. We will then go on to look at the different windows SPSS uses.

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