JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
Faculty of Medicine - DEPT. of Public Health.
Use of Computer
(PH 701) - 2 Credit Hours
Instructor: Dr. Yousef Khader
Office: Department of Public Health
Course Objectives: This course is designed to provide you with an
introduction to the practice of statistics. By the end of the course, you
should be able to:
Use the statistical software package SPSS for analyzing statistical
data:
1. Catalog description:
The student will learn to execute three major steps in the data analysis
process: (a) identify the appropriate statistical technique for a given
research problem; (b) conduct analyses using the SPSS for Windows
computer software (one-sample, dependent-samples and independentsamples t tests, one-way ANOVA, two-way ANOVA, correlation, simple linear
regression, multiple linear regression, chi-square tests, logistic regression,
and factor analysis); and (c) interpret the statistical values generated by
these various analytical tools.
2. Course content:
In this course students will learn specific statistical techniques as applied
to various research problems found in a variety of fields of study. The
topics contained in the course include the following:
1. Introduction to the SPSS for Windows software
2. Hypothesis testing [one sample case]
1.
steps used to construct and test a set of hypotheses designed to
determine whether the population mean has changed
2. use of SPSS to conduct a one-sample t test and the interpretation
of the results
3. types of errors encountered in hypothesis testing
4. power analysis and sample size determination for a one-sample t test
5.
6.
practical significance versus statistical significance
calculation and classification of an effect size
3. Two types of t tests used to test the difference between two means
1.
use of SPSS to conduct a paired-samples t test and the
interpretation of the results
2. use of SPSS to conduct an independent t test and the interpretation
of the results
4. One-Way ANOVA
1.
use of SPSS to conduct a one-way ANOVA and the interpretation of
the ANOVA table
2. reason for conducting multiple comparisons tests
3. use of SPSS to conduct various types of multiple comparisons tests
and the interpretation of those tests
5. Two-way ANOVA and interaction effects
1.
use of SPSS to conduct a two-way ANOVA and the interpretation of
the ANOVA table
2. using SPSS to plot the interaction effect and identify whether it is
ordinal or disordinal
3. construction of an SPSS syntax file to conduct simple effects tests
6. Bivariate correlation analysis with SPSS including the scattergram
7. Construction of simple linear regression model, analysis of the models with
SPSS, and the interpretation of the results
8. Construction of multiple linear regression models, analysis of the models
with SPSS, and the interpretation of the results
1.
2.
3.
4.
the use of continuous independent variables
the use of dummy independent variables
the use of a series of dummy independent variables
the construction and analysis of models that contain two-way
interaction effects
9. Chi-Square test [two group case]
10. The use of SPSS to analyze logistic regression models [two group case]
and the interpretation of the results
1.
evaluating the statistical significance of the independent variable
coefficients
2. assessing the model's prediction accuracy
3. the calculation and interpretation of Delta-p values
11. The use of SPSS to conduct factor analysis and the identification of the
factors
3. Student learning objectives:
The student will learn to execute three major steps in the data analysis
process: (a) identify the appropriate statistical technique for a given
research problem; (b) conduct analyses using the SPSS for Windows
computer software (one-sample, dependent-samples and independentsamples t tests, one-way ANOVA, two-way ANOVA, correlation, simple linear
regression, multiple linear regression, chi-square tests, logistic regression,
and factor analysis); and (c) interpret the statistical values generated by
these various analytical tools.
4. Student assessment criteria:
The degree of student mastery of the material presented in this course will
be evaluated through two methods: (a) three tests, and (b) a paper that
addresses the statistical analyses presented in a research article selected
by the student.