Syllabus - COMPUTERS IN SOCIAL RESEARCH (SPSS+EXCEL) (51108)

Syllabus COMPUTERS IN SOCIAL RESEARCH (SPSS+EXCEL) - 51108
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Last update 26-09-2016
HU Credits: 2 Degree/Cycle: 1st degree (Bachelor) Responsible Department: psychology Semester: 1st Semester Teaching Languages: Hebrew Campus: Mt. Scopus Course/Module Coordinator: Dr. Benjamin Czaczkes Coordinator Email: msbc@mscc.huji.ac.il Coordinator Office Hours: See Moodle Teaching Staff: Dr. Roie Knaanie Mr. Adi Rivlin Course/Module description: Excel Creating and working with Workbooks, using the ribbon, formatting, Excel functions, statistical data analysis using excel, Graphical information display, moving data to SPSS. SPSS Data definition and data file manipulation, missing values, t-test, pairwise t-test, one way analysis of variance, planed contrasts, post hoc analysis, ANOVA, regression analysis, selecting partial data for analysis, creating new variables and changing old variables. Course/Module aims: Using excel and SPSS to organize and analyze data Learning outcomes - On successful completion of this module, students should be able to: Analyse data using SPSS and Excel Summarize data using SPSS and Excel Compute descriptive statistics on numerical data Classify populations of data Apply the statistical argument to the outcome of a quantitative investigation Carry out commonly used bivariate tests of difference Use the basic form of the general linear model in SPSS and Excel Use SPSS to conduct T-test, and Analysis of Variance Attendance requirements(%): 100 Teaching arrangement and method of instruction: Lectures, Lab work Course/Module Content: Excel Creating and working with Workbooks. using the ribbon. formatting. Excel functions. Statistical data analysis. Graphical information display. Moving data to SPSS. SPSS Data definition. Data file manipulation. Missing values. t-test, pairwise t-test, One Way Analysis of Variance. Contrasts. Post hoc analysis. ANOVA. Regression Analysis. Selecting partial data for analysis. Creating new variables and changing old variables. Required Reading: None Additional Reading Material: None Course/Module evaluation: End of year written/oral examination 100 % Presentation 0 % Participation in Tutorials 0 % Project work 0 % Assignments 0 % Reports 0 % Research project 0 % Quizzes 0 % Other 0 % Additional information:

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