Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SPSS PRACTICES in COMMUNICATION STUDIES | - | Fall Semester | 1+2 | 2 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ayşen AKYÜZ |
| Name of Lecturer(s) | Assoc.Prof. İhsan EKEN |
| Assistant(s) | |
| Aim | This course introduces how to present, analyze and interpret data using the statistical analysis software package SPSS. |
| Course Content | This course contains; 1. Week: Introduction, processing of the course and explanation of its contents 2. Week: Scientific Research Process 3. Week: Hypothesis and variable 4. Week: Research Process: Defining the problem and knowledge 5. Week: Research Process: Universe and sampling methods 6. Week: Research Process: Survey design and application methods 7. Week: Introduction to SPSS, coding, data entry and sample applications 1 8. Week: Introduction to SPSS, coding, data entry and sample applications 2 9. Week: Parametric Tests: t, z and ANOVA tests and SPSS Applications 10. Week: Nonparametric tests: Chi-square, Man Whitney U, Sign etc. Tests and SPSS Applications 11. Week: Reliability and validity analysis and SPSS applications 12. Week: Factor analysis and SPSS applications 13. Week: Research Report: Writing a report and writing a research project 14. Week: Homework applications and presentations . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| At the end of this course students will be able to; 1. To be able to prepare a questionnaire 2. To be able to outline the basic concepts of research methods 3. To be able to define the data structures and scales 4. To determine the purpose of research and to create a hypothesis 5. To be able to design research 6. To determine appropriate statistical methods for research 7. To be able to interpret statistical data, tables | 6, 9 | A |
| Teaching Methods: | 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 0 | 1. Week: Introduction, processing of the course and explanation of its contents 2. Week: Scientific Research Process 3. Week: Hypothesis and variable 4. Week: Research Process: Defining the problem and knowledge 5. Week: Research Process: Universe and sampling methods 6. Week: Research Process: Survey design and application methods 7. Week: Introduction to SPSS, coding, data entry and sample applications 1 8. Week: Introduction to SPSS, coding, data entry and sample applications 2 9. Week: Parametric Tests: t, z and ANOVA tests and SPSS Applications 10. Week: Nonparametric tests: Chi-square, Man Whitney U, Sign etc. Tests and SPSS Applications 11. Week: Reliability and validity analysis and SPSS applications 12. Week: Factor analysis and SPSS applications 13. Week: Research Report: Writing a report and writing a research project 14. Week: Homework applications and presentations |
| Resources |
| Julie Pallant, SPSS Kullanma Kılavuzu Spss İle Adım Adım Veri Analizi, Anı Yayıncılık, 2. Baskı Fatma Lorcu, Örneklerle Veri Analizi SPSS Uygulamalı, Detay Yayıncılık Eyyub Yaraş ve Mahir Nakip, SPSS Uygulamalı - Pazarlama Araştırmalarına Giriş, Seçkin Yayıncılık, 5. Baskı Sait Gürbüz ve Faruk Şahin, Sosyal Bilimlerde Araştırma Yöntemleri, Seçkin Yayıncılık, 3. Baskı |
| Nassim Nicholas Taleb, Siyah Kuğu, Varlık Yayınları, 8. Baskı Şener Büyüköztürk, Sosyal Bilimler İçin Veri Analizi El Kitabı, Pegem Yayıncılık Ercan Gegez, Pazarlama Araştırmaları, Beta Yayınları, 5. Baskı Alvin C. Burns ve Ronald F. Bush, Pazarlama Araştırması, Nobel Akademik Yayıncılık Seher Er, Pazarlama ve Kamuoyu Araştırma Alanları, Nobel Akademik Yayıncılık Kürşat Çağıltay, İnsan Bilgisayar Etkileşimi ve Kullanılabilirlik Mühendisliği: Teoriden Pratiğe, Odtü Yayıncılık Ray Poynter, İnternet ve Sosyal Medya Araştırmaları El Kitabı: Pazar Araştırmaları İçin Araçlar ve Teknikler, Optimist Kazım Özdamar, Paket Programlar ile İstatistiksel Veri Analizi Cilt:I- II, Şubat 2013 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts of Public Relations and Advertising disciplines and the basic theories of these disciplines. | ||||||
| 2 | Determines facts related to Public Relations and Advertising and analyzes these facts from various dimensions. | ||||||
| 3 | Using expert knowledge, takes part in the decision-making mechanisms of businesses, identifies the problems encountered and offers solutions. | ||||||
| 4 | Carries out analyzes for institutions and prepares a communication plan in line with the needs of the institutions. | ||||||
| 5 | Solve problems that arise in projects related to the field by taking responsibility when necessary. | ||||||
| 6 | Takes part in a team established for projects related to the field, leads the project, plans and manages the events. | ||||||
| 7 | Investigates theoretical and factual problems related to the disciplines and sub-disciplines of Public Relations and Advertising with scientific methods, analyzes the findings and turns them into scientific publications. | ||||||
| 8 | Adopts the principle of lifelong learning. Regularly follows developments, innovations, ideas, methods and techniques in the field and uses them effectively in his/her own work. | ||||||
| 9 | Communicates verbally and in writing by using English at least at the European Language Portfolio B2 General Level. | ||||||
| 10 | Uses new communication technologies effectively in professional and scientific studies and constantly follows the developments in new communication technologies. | ||||||
| 11 | Plans social responsibility activities and takes part in the realization of these activities. | ||||||
| 12 | Acts in a way that adheres to ethical codes in professional and scientific work. | ||||||
| 13 | Carries out various public relations and advertising campaigns in public and private sector organizations, using methods and techniques of Public Relations and Advertising disciplines. | ||||||
| 14 | Carries out measurement and evaluation of the communication activities. | ||||||
| 15 | Knowledgeable about occupational health and safety and can use this information when necessary. . | ||||||
| 16 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 2 | 10 | 20 | |||
| Resolution of Homework Problems and Submission as a Report | 2 | 15 | 30 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 30 | 30 | |||
| General Exam | 1 | 30 | 30 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 152 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(152/30) | 5 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SPSS PRACTICES in COMMUNICATION STUDIES | - | Fall Semester | 1+2 | 2 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Ayşen AKYÜZ |
| Name of Lecturer(s) | Assoc.Prof. İhsan EKEN |
| Assistant(s) | |
| Aim | This course introduces how to present, analyze and interpret data using the statistical analysis software package SPSS. |
| Course Content | This course contains; 1. Week: Introduction, processing of the course and explanation of its contents 2. Week: Scientific Research Process 3. Week: Hypothesis and variable 4. Week: Research Process: Defining the problem and knowledge 5. Week: Research Process: Universe and sampling methods 6. Week: Research Process: Survey design and application methods 7. Week: Introduction to SPSS, coding, data entry and sample applications 1 8. Week: Introduction to SPSS, coding, data entry and sample applications 2 9. Week: Parametric Tests: t, z and ANOVA tests and SPSS Applications 10. Week: Nonparametric tests: Chi-square, Man Whitney U, Sign etc. Tests and SPSS Applications 11. Week: Reliability and validity analysis and SPSS applications 12. Week: Factor analysis and SPSS applications 13. Week: Research Report: Writing a report and writing a research project 14. Week: Homework applications and presentations . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| At the end of this course students will be able to; 1. To be able to prepare a questionnaire 2. To be able to outline the basic concepts of research methods 3. To be able to define the data structures and scales 4. To determine the purpose of research and to create a hypothesis 5. To be able to design research 6. To determine appropriate statistical methods for research 7. To be able to interpret statistical data, tables | 6, 9 | A |
| Teaching Methods: | 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 0 | 1. Week: Introduction, processing of the course and explanation of its contents 2. Week: Scientific Research Process 3. Week: Hypothesis and variable 4. Week: Research Process: Defining the problem and knowledge 5. Week: Research Process: Universe and sampling methods 6. Week: Research Process: Survey design and application methods 7. Week: Introduction to SPSS, coding, data entry and sample applications 1 8. Week: Introduction to SPSS, coding, data entry and sample applications 2 9. Week: Parametric Tests: t, z and ANOVA tests and SPSS Applications 10. Week: Nonparametric tests: Chi-square, Man Whitney U, Sign etc. Tests and SPSS Applications 11. Week: Reliability and validity analysis and SPSS applications 12. Week: Factor analysis and SPSS applications 13. Week: Research Report: Writing a report and writing a research project 14. Week: Homework applications and presentations |
| Resources |
| Julie Pallant, SPSS Kullanma Kılavuzu Spss İle Adım Adım Veri Analizi, Anı Yayıncılık, 2. Baskı Fatma Lorcu, Örneklerle Veri Analizi SPSS Uygulamalı, Detay Yayıncılık Eyyub Yaraş ve Mahir Nakip, SPSS Uygulamalı - Pazarlama Araştırmalarına Giriş, Seçkin Yayıncılık, 5. Baskı Sait Gürbüz ve Faruk Şahin, Sosyal Bilimlerde Araştırma Yöntemleri, Seçkin Yayıncılık, 3. Baskı |
| Nassim Nicholas Taleb, Siyah Kuğu, Varlık Yayınları, 8. Baskı Şener Büyüköztürk, Sosyal Bilimler İçin Veri Analizi El Kitabı, Pegem Yayıncılık Ercan Gegez, Pazarlama Araştırmaları, Beta Yayınları, 5. Baskı Alvin C. Burns ve Ronald F. Bush, Pazarlama Araştırması, Nobel Akademik Yayıncılık Seher Er, Pazarlama ve Kamuoyu Araştırma Alanları, Nobel Akademik Yayıncılık Kürşat Çağıltay, İnsan Bilgisayar Etkileşimi ve Kullanılabilirlik Mühendisliği: Teoriden Pratiğe, Odtü Yayıncılık Ray Poynter, İnternet ve Sosyal Medya Araştırmaları El Kitabı: Pazar Araştırmaları İçin Araçlar ve Teknikler, Optimist Kazım Özdamar, Paket Programlar ile İstatistiksel Veri Analizi Cilt:I- II, Şubat 2013 |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knows the basic concepts of Public Relations and Advertising disciplines and the basic theories of these disciplines. | ||||||
| 2 | Determines facts related to Public Relations and Advertising and analyzes these facts from various dimensions. | ||||||
| 3 | Using expert knowledge, takes part in the decision-making mechanisms of businesses, identifies the problems encountered and offers solutions. | ||||||
| 4 | Carries out analyzes for institutions and prepares a communication plan in line with the needs of the institutions. | ||||||
| 5 | Solve problems that arise in projects related to the field by taking responsibility when necessary. | ||||||
| 6 | Takes part in a team established for projects related to the field, leads the project, plans and manages the events. | ||||||
| 7 | Investigates theoretical and factual problems related to the disciplines and sub-disciplines of Public Relations and Advertising with scientific methods, analyzes the findings and turns them into scientific publications. | ||||||
| 8 | Adopts the principle of lifelong learning. Regularly follows developments, innovations, ideas, methods and techniques in the field and uses them effectively in his/her own work. | ||||||
| 9 | Communicates verbally and in writing by using English at least at the European Language Portfolio B2 General Level. | ||||||
| 10 | Uses new communication technologies effectively in professional and scientific studies and constantly follows the developments in new communication technologies. | ||||||
| 11 | Plans social responsibility activities and takes part in the realization of these activities. | ||||||
| 12 | Acts in a way that adheres to ethical codes in professional and scientific work. | ||||||
| 13 | Carries out various public relations and advertising campaigns in public and private sector organizations, using methods and techniques of Public Relations and Advertising disciplines. | ||||||
| 14 | Carries out measurement and evaluation of the communication activities. | ||||||
| 15 | Knowledgeable about occupational health and safety and can use this information when necessary. . | ||||||
| 16 | Sensitive to the environment, the universality of social rights and the protection of cultural values. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |