SPSS. (Statistical Package for the Social Sciences) The Choice of Advanced Statistical Research & Data Analysis

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Aubrie Greer
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1 SPSS (Statistical Package for the Social Sciences) The Choice of Advanced Statistical Research & Data Analysis OVERVIEW: Many persons are unaware of the applications of SPSS to data analysis and interpretation within the social science arena and more particularly to the area of research. This workshop will provide participants with a clear understanding of how to apply and use SPSS to their research work and the necessary tests need to be conducted. It will present the sequence that is required for participants to link their research hypothesis to the appropriate statistical technique using SPSS. 1

2 LEARNING OBJECTIVES: Upon completion of this workshop, participants should be able to understand the following applications using SPSS: Data entry 1: Column date Data entry 2: Table data Descriptive statistics 1: Measures of Central Tendency Descriptive statistics 2: Measures of Dispersions Tables and diagrams Generation of a random sample from a population Correlation Analysis Conduction t- test 1: From the same sample in relation to a common issue Conduction t- test 2: From two different sample groups on the same topic where the variances are equal Chi-square test McNema test Sign test and the Wilcoxon test for related data Mann-Whitney U test for unrelated data F-ratio test: Comparison between two variances Regression analysis Stepwise multiple regression TARGET AUDIENCE: This workshop would be beneficial to: Public officials who are involved in research work Research officers who are in the area of publication Marketing companies who need training in advanced data analysis Participants who are at their practicum state of their MBA 2

3 PROGRAMME OUTLINE: Topics to be covered during this workshop include: Data entry 1: Column date Access the SPSS program from the computer Navigate between the data view and the variable screens Understand the relationship between the data view and the variable view Label column data within the variable view Enter column data within the data view Save the labelled column data Data entry 2: Table data Identify a tabula data set Enter data codes for row component Enter data codes for column components Enter data codes for frequencies Enter date for rows, column and frequencies Perform the operation of weighting cases based on frequencies Obtain cress tabulation tables Descriptive statistics 1: Measures of central tendency Understand the mean as a measure of central tendency Understand the tri-mean as a measure of central tendency Understand the mode as a measure of central tendency Understand the median as a measure of central tendency Understand the shapes of distribution via histograms 3

4 Descriptive statistics 2: Measures of dispersions Understand the variance as a measure of dispersion Understand the standard deviation as a measure of dispersion Understand the range as a measure of dispersion Understand the percentile as a measure of dispersion Understand the shapes of distribution using the five point number summary Tables and diagrams Display tables for frequencies, percentages and cumulative percentages Obtain pie charts for column data Obtain bar graphs column data Obtain histograms from column data Obtain bar graphs and histograms from cross tabulations Generation a random sample from a population Understand the purpose of conducting a random sample Understand how to select a data set for random sample extraction Understand how to extract a percentage of the population for further analysis Understand how to apply the if then condition for case selection Correlation Analysis Understand when to use the correlation technique Data entry of two column variables Interpret whether a direct relationship exist Interpret whether an indirect relationship exist Interpret whether no relationship exist Interpret the statistical significance of correlation 4

5 Conduction t- test 1: From the same sample in relation to a common issue Understand when to use the t- test are the averages equal Data entry of two column variables Interpret whether a direct relationship exist Interpret whether an indirect relationship exist Interpret whether no relationship exist Interpret the statistical significance of t- test Conduction t- test 2: From two different sample groups on the same topic where the variances are equal Understand when to use the unrelated t- test are the averages equal Data entry of two column variables Interpret whether a direct relationship exist Interpret whether an indirect relationship exist Interpret whether no relationship exist Interpret the F statistic and the t- test Chi-square test Understand when to use the Chi-square test Data entry for the Sign test and the Chi-square test Running the Sign test and the Chi-square test using SPSS Interpretation of the results for Chi-square test McNema test Understand when to use the McNema test Data entry for the Sign test and the McNema test Running the Sign test and the McNema test using SPSS Interpretation of the results for McNema test 5

6 Sign test and the Wilcoxon test for related data Understand when to use the Sign test and the Wilcoxon test Data entry for the Sign test and the Wilcoxon test Running the Sign test and the Wilcoxon test using SPSS Interpretation of the results for Sign test and the Wilcoxon test Mann-Whitney U test for unrelated data Understand when to use the Mann-Whitney U test Data entry for the Mann-Whitney U test Running the Mann-Whitney U test using SPSS Interpretation of the results for Mann-Whitney U test F-ratio test: Comparison between two variances Understand when to use the F-ratio test Data entry for the F-test Running the F-test using SPSS Interpretation of the results for F test Regression analysis Understand when to use regression analysis Identify the dependent variable for a regression equation Identify independent variables for a regression analysis Run a linear regression analysis using regression analysis Interpret the relationship between each independent variable and the dependent variable Test the overall contribution of independent variable using the R 2 statistic Test the statistical significance of each independent variable using the t test Test the statistical significance of the overall equation using the F-test 6

7 Stepwise multiple regression Understand when to use Stepwise multiple regression Identify the dependent variable for a Stepwise multiple regression equation Identify independent variables for a Stepwise multiple regression analysis Run a linear regression analysis using Stepwise multiple regression analysis Interpret the relationship between each independent variable and the dependent variable Test the overall contribution of independent variable using the R 2 statistic Test the statistical significance of each independent variable using the t test Test the statistical significance of the overall equation using the F-test 7

8 FACILITATOR S BIO-SKETCH: Wayne Munro Wayne Anthony Munro is a self-motivated individual who loves to solve problems. This self-motivation stems from the environment in which Mr. Munro was raised (Morvant/Laventille) as well as the choice schools he attended (Belmont Junior Secondary and Malick Senior Comprehensive). The atmosphere created in this environment was ideal since Mr. Munro saw an opportunity to excel academically where others may label as being impossible. Mr. Munro served in a number of top positions in Trinidad and Tobago these include; Senator, Director and Lecturer. The problem solving drive in his personality causes him to accept even the most complex challenges along his academic and non-academic pathways. Since these challenges are a true test of his personality, in that it indicates his liking for avenues that arise out of these complex challenges. The overall environment in which he operates facilitate the application of a wealth of knowledge and being able to respond to questions promptly; thereby being prepared at all times to answer questions. Looking back at all the accomplishments, there is a sense of gratitude; the reason is that Mr. Munro loves to impart knowledge and information at the tertiary level. Putting the matter plainly, Mr. Munroe loves to teach. He has a B.Sc. in Economics and a M.Sc. in Economics both from the University of the West Indies, St. Augustine Campus. 8

9 DETAILS: Date: January 12 th, 14 th, 19 th, 21 st, 26 th & 28 th, 2016 Time: 5:30 p.m. 8:30 p.m. Cost: TTD$4, Inclusive of training materials and Certificate of Participation Venue: Arthur Lok Jack Graduate School of Business Max Richards Drive, Uriah Butler Highway North West, Mt. Hope Coordinators: Umesh Sookoo ext. 367 Shadeed Ali ext. 131 Tel: Fax: Website: Certification: Certificates will only be issued to participants who have attained a minimum attendance rate of 75% for the duration of the course. Course Cancellation/Reschedule Policy The Arthur Lok Jack Graduate School of Business (Lok Jack GSB) reserves the right to cancel training at any time. If Lok Jack GSB cancels the training due to unforeseen circumstances beyond the control of Lok Jack GSB, you are entitled to a full refund of the course fee, or your course fee can be credited toward a future training, based upon availability (providing payments have been made before original advertised date). Lok Jack GSB reserves the right to reschedule training at any time. If Lok Jack GSB reschedules training due to unforeseen circumstances beyond the control of Lok Jack GSB, the training will take place at the next available time. Participants will be informed via phone and/or s. 9

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