Course Details

Course Information Package

Course Unit Title	DESCRIPTIVE STATISTICS - QUANTITATIVE ANALYSIS
Course Unit Code	DIS302
Course Unit Details
Number of ECTS credits allocated	4
Learning Outcomes of the course unit	By the end of the course, the students should be able to: List the basic methods for collecting data from quantitative research. Calculate mean, median, mode, standard deviation, range, etc.. Analyze data by using SPSS and explain the table of the outputs. Present the results of statistical analysis and construct the necessary tables, diagrams and graphs for the presentation of the results. Access the use of each statistical method and calculate the mean difference, the correlation, the standard error, the comparison of means (t-test, anova, manova etc). Propose a schedule for the development of a quantitative research (title, purpose, research questions, variables, data collection, statistical analysis, presentation and interpretation of the results).
Mode of Delivery	Face-to-face
Prerequisites	NONE	Co-requisites	NONE
Recommended optional program components	NONE
Course Contents	-  The basic characteristics of quantitative research. The validity and the reliability of a questionnaire. The sample of a study. -  Calculate: mean, median, mode, frequency, standard deviation -  Use the excel to construct graphs and diagrams. Use the SPSS to calculate indicators for descriptive statistics, construct graphs etc. -  Analyse the results from statistical analysis (from SPSS). Construct the necessary tables, diagrams and graphs for the presentation of the results. The use of normal distribution of data. -  Calculate correlation, standard error etc. Use t-test, anova, manova etc for means comparison. -  Exploratory factor analysis.
Recommended and/or required reading:
Textbooks	Παπαδημητρίου, Γ. (2001). Περιγραφική στατιστική. Θεσσαλονίκη: Παρατηρητής.
References	Heiman, G. (1992). Basic statistics for the behavioral sciences. Boston: Houghton Mifflin.
Planned learning activities and teaching methods	The taught part of course is delivered to the students by means of lectures, conducted with the help of computer presentations. Lecture notes and presentations are available through the web for students to use in combination with the textbooks.
Assessment methods and criteria	Assignments 10% Tests 40% Final Exam 50%
Language of instruction	Greek
Work placement(s)	NO