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Statistical analyzes in SPSS

General data

Course ID:	WF-PS-N-SPSS
Erasmus code / ISCED:	14.4 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0313) Psychology The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Statistical analyzes in SPSS
Name in Polish:	Analizy statystyczne w SPSS
Organizational unit:	Institute of Psychology
Course groups:
ECTS credit allocation (and other scores):	4.00 (differs over time) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Subject level:	elementary
Learning outcome code/codes:	PS_W06 PS_U06
Short description:	The aim of the course is to prepare students to perform statistical analyzes in the SPSS package, interpret the results of the analyzes and create a report. The knowledge gained is to help students in the development and preparation of analyzes and reports on the obtained results for empirical, master's theses.
Full description:	1. SPSS package environment. SPSS package interface. Data coding, creating new variables, recoding variables. 2-4. Statistical description: measures of central tendency, dispersion, skewness. Determining the normality of the distribution. Create a report on the characteristics of the distribution of a variable. 5-6. Difference tests for two independent populations - test selection algorithm, effect size tests, report creation. 7. Tests of differences for two dependent populations - test selection algorithm, creating a report. 8. Tests of differences for more than two independent populations - test selection algorithm, creating a report. 9. Difference tests for more than two dependent populations - test selection algorithm, creating a report. 10. Variables dependency measures - test selection algorithm, creating a report. 11-12. Simple and multiple regression - creating a report. 13. Testing the reliability of the psychological scale - creating a report. 14-15. Extracting factors on a scale - creating a report
Bibliography:	Kinnear, P. R., & Gray C. D. (2008). SPSS 15 made simple. Hove and New York: Psychology Press Taylor & Francis Group.
Efekty kształcenia i opis ECTS:	KNOWLEDGE: The student selects the methods of statistical analysis for the analyzed issue according to the algorithm presented in the class SKILLS: The student carries out a statistical analysis, interprets the results, and makes a decision as to the hypothesis COMPETENCES: The student prepares a report on the basis of statistical analyzes performed by him/herself DESCRIPTION OF ECTS CREDITS: Participation in classes: 30h Preparation for classes: 10h Preparation of reports for the course completion: 20h Total hours: 60 ECTS number: 60h / 30 = 2
Assessment methods and assessment criteria:	To complete the course, the student prepares two final reports on the selected issue given by the lecturer. The report verifies the knowledge, skills and competences of the student regarding the performance of independent analyzes and reports. The lecturer provides a database for statistical analyzes. For a failing grade: the student is unable to select a method and perform the analysis, misinterprets the results and makes incorrect conclusions regarding the hypothesis For a satisfactory grade: the student correctly selects the method and performs the analysis, but misinterprets the results and makes wrong conclusions regarding the hypothesis With a good mark: the student correctly selects the method and performs the analysis, correctly interprets the results and makes the right conclusions regarding the hypothesis, but makes mistakes when creating the report, incorrectly uses statistical terminology For a very good grade: the student correctly selects the method and performs the analysis, correctly interprets the results and makes appropriate conclusions regarding the hypothesis, correctly presents the results and conclusions in the report, demonstrating knowledge of statistical terminology The basis for the course evaluation are: - active participation in classes - submission of final reports

Classes in period "Winter semester 2021/22" (past)

Time span:	2021-10-01 - 2022-01-31	Selected timetable range: weekly course term Navigate to timetable MO CW CW TU CW CW CW CW W TH FR
Type of class:	Classes, 30 hours, 14 places more information
Coordinators:	Agnieszka Szymańska
Group instructors:	Agnieszka Szymańska
Students list:	(inaccessible to you)
Examination:	graded credit
(in Polish) E-Learning:	(in Polish) E-Learning (pełny kurs) z podziałem na grupy
Type of subject:	obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:	(in Polish) nie dotyczy
Short description:	The aim of the course is to prepare students to perform statistical analyzes in the SPSS package, interpret the results of the analyzes and create a report. The knowledge gained is to help students in the development and preparation of analyzes and reports on the obtained results for empirical, master's theses.
Full description:	1. SPSS package environment. SPSS package interface. Data coding, creating new variables, recoding variables. 2-4. Statistical description: measures of central tendency, dispersion, skewness. Determining the normality of the distribution. Create a report on the characteristics of the distribution of a variable. 5-6. Difference tests for two independent populations - test selection algorithm, effect size tests, report creation. 7. Tests of differences for two dependent populations - test selection algorithm, creating a report. 8. Tests of differences for more than two independent populations - test selection algorithm, creating a report. 9. Difference tests for more than two dependent populations - test selection algorithm, creating a report. 10. Variables dependency measures - test selection algorithm, creating a report. 11-12. Simple and multiple regression - creating a report. 13. Testing the reliability of the psychological scale - creating a report. 14-15. Extracting factors on a scale - creating a report
Bibliography:	Kinnear, P. R., & Gray C. D. (2008). SPSS 15 made simple. Hove and New York: Psychology Press Taylor & Francis Group.
Wymagania wstępne:	Basic knowledge of statistics from the first year of studies.

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