Information Package / Course Catalogue
| Guidance and Psychological Counseling | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Education | |||||
| Course Code | MATH 234 | |||||
| Course Title in English | Statistics II | |||||
| Course Title in Turkish | Statistics II | |||||
| Language of Instruction | EN | |||||
| Type of Course | Flipped Classroom,Lecture | |||||
| Level of Course | Introductory | |||||
| Semester | Spring | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 130 hours per semester | |||||
| Number of Credits | 5 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites | None | |||||
| Expected Prior Knowledge | None | |||||
| Co-requisites | None | |||||
| Registration Restrictions | Only Undergraduate Students | |||||
| Overall Educational Objective | To learn the basic concepts and procedures in descriptive and inferential statistics. | |||||
| Course Description | This course covers the basic concepts and procedures in descriptive and inferential statistics. As a follow up of MATH 233 Statistics I course, this course begins with the review of basic concepts such as standard deviation, standardized scores (i.e., z-scores), standard error, the distribution of sample means, and probability and normal distribution. The course will continue with the methods for hypothesis testing and describing relationships between two (or more) variables, t-statistic, the t-test for the two independent and related samples, estimation, analysis of variance test for differences among two or more population means (ANOVA), correlations, and nonparametric tests. | |||||
| Course Description in Turkish | Bu ders, tanımlayıcı ve çıkarımsal istatistikteki temel kavramları ve prosedürleri kapsar. MATG233 İstatistik I dersinin devamı niteliğinde olan bu ders, standart sapma, standartlaştırılmış puanlar (yani, z puanları), standart hata, örnek ortalamaların dağılımı ve olasılık ve normal dağılım gibi temel kavramların gözden geçirilmesiyle başlar. Ders, hipotez testi ve iki (veya daha fazla) değişken arasındaki ilişkileri tanımlama yöntemleri, t-istatistiği, iki bağımsız ve ilgili örnek için t-testi, tahmin, iki veya daha fazla popülasyon arasındaki farklar için varyans analizi (ANOVA), korelasyonlar ve parametrik olmayan testlerle devam edecektir.. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) appreciate the importance of statistics and data analysis 2) understand the basics of hypothesis testing; 3) understand and apply the non-directional and directional hypothesis testing techniques 4) understand the concept of analysis of variance test for differences among two or more population means (ANOVA); 5) understand and apply correlation and regression techniques 6) understand some non-parametric tests such as the concept of chi-square statistic |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Scientific competence, knowledge, skills and effective teaching methods and strategies in order to provide psychological help. | ||||||
| 2) Knowledge that will enable students to develop the skills to cope with problems they encounter in the school environment. | ||||||
| 3) Basic knowledge about developmental processes from early childhood to adulthood and the characteristics and issues unique to each stage. | ||||||
| 4) Knowledge about the tools used in school counseling services and being equipped to develop relevant programs. | ||||||
| 5) Competence in vocational guidance and counseling practices. | ||||||
| 6) Understanding of human relations and interaction. | ||||||
| 7) Knowledge, experience and skills in scientific methods in order to conduct research studies in behavioral sciences. | ||||||
| 8) Awareness of the necessity of lifelong learning, accessing information, and monitoring developments in education, science, and technology. An ability to solve problems related to the field, continuously developing and renewing oneself, and having critical thinking and questioning skills. An ability to use information technologies. | ||||||
| 9) Ability to communicate effectively in both verbal and written Turkish; ability to use English at least in the European Language Portfolio B2 General Level. | ||||||
| 10) Knowledge about past and present regulations and legislations regarding professional applications of the field and being equipped to contribute to its further development. | ||||||
| 11) Sensitivity for different cultures, values and democratic rights of individuals; the knowledge of national culture and history, and using that knowledge in increasing awareness and involvement in national and international social, cultural, artistic, and technological developments. | ||||||
| 12) A sense of professional and ethical responsibility, and awareness of national and universal sensitivity expressed in the Basic Law of National Education. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Scientific competence, knowledge, skills and effective teaching methods and strategies in order to provide psychological help. | S | Exam |
| 2) | Knowledge that will enable students to develop the skills to cope with problems they encounter in the school environment. | S | Exam |
| 3) | Basic knowledge about developmental processes from early childhood to adulthood and the characteristics and issues unique to each stage. | N | |
| 4) | Knowledge about the tools used in school counseling services and being equipped to develop relevant programs. | N | |
| 5) | Competence in vocational guidance and counseling practices. | N | |
| 6) | Understanding of human relations and interaction. | N | |
| 7) | Knowledge, experience and skills in scientific methods in order to conduct research studies in behavioral sciences. | H | HW |
| 8) | Awareness of the necessity of lifelong learning, accessing information, and monitoring developments in education, science, and technology. An ability to solve problems related to the field, continuously developing and renewing oneself, and having critical thinking and questioning skills. An ability to use information technologies. | S | Lab |
| 9) | Ability to communicate effectively in both verbal and written Turkish; ability to use English at least in the European Language Portfolio B2 General Level. | N | |
| 10) | Knowledge about past and present regulations and legislations regarding professional applications of the field and being equipped to contribute to its further development. | N | |
| 11) | Sensitivity for different cultures, values and democratic rights of individuals; the knowledge of national culture and history, and using that knowledge in increasing awareness and involvement in national and international social, cultural, artistic, and technological developments. | N | |
| 12) | A sense of professional and ethical responsibility, and awareness of national and universal sensitivity expressed in the Basic Law of National Education. | N |
| Prepared by and Date | MAHMUT KERTİL , |
| Course Coordinator | BENGİ BİRGİLİ |
| Semester | Spring |
| Name of Instructor | Asst. Prof. Dr. MAHMUT KERTİL |
Course Contents
| Week | Subject |
| 1) | Introduction to the course Reviewing the basic concepts |
| 2) | Introduction to Hypothesis Testing: The Logic of Hypothesis Testing |
| 3) | Directional Hypothesis Testing Statistic Lab: Using MsExcel or SPSS |
| 4) | Introduction to the t statistic Hypothesis tests with the t statistic |
| 5) | The t-test for two independent samples (Statistic Lab: Using MsExcel or SPSS) |
| 6) | The t-test for two related samples |
| 7) | The t-test for two related samples (cont’d.) Statistic Lab: Using MsExcel or SPSS |
| 8) | Introduction to Analysis of Variance (ANOVA) |
| 9) | Introduction to Analysis of Variance (ANOVA) |
| 10) | Repeated-Measures Analysis of Variance |
| 11) | Two-Factor Analysis of Variance |
| 12) | Correlation & Introduction to Regression |
| 13) | Nonparametric tests: The Chi-Square Statistic |
| 14) | Nonparametric tests |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Gravetter, F. J. & Wallnau L. B. (2010). Essentials of Statistics for the Behavioral Sciences (9th ed.). Wadsworth, Cengage Learning. Shavelson, R.J. (1996). Statistical reasoning for the behavioral sciences (3rd ed.). Boston: Allyn & Bacon. | ||||||||||||||||||
| Teaching Methods | Flipped learning, Direct instruction, Group work on some classroom activities, Laboratory work | ||||||||||||||||||
| Homework and Projects | Students will be assigned four homework through the whole semester | ||||||||||||||||||
| Laboratory Work | Laboratory work will be held once in two weeks. In laboratory work, students are expected to use MsExcel or SPSS in order to apply the statistical concepts that they learned in the course. | ||||||||||||||||||
| Computer Use | Computer use is necessary during laboratory work. | ||||||||||||||||||
| Other Activities | In-class group works on some problems will be conducted. | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
kertilm@mef.edu.tr Dr. Mahmut Kertil e-mail: kertilm@mef.edu.tr Office Hours: by appointment Rules for attendance: The student must attend at least 70% of the classes. Academic dishonesty and plagiarism: YOK Disciplinary Regulation |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 4 | 8 | 32 | ||||
| Midterm(s) | 1 | 8 | 2 | 10 | |||
| Final Examination | 1 | 16 | 2 | 18 | |||
| Total Workload | 130 | ||||||
| Total Workload/25 | 5.2 | ||||||
| ECTS | 5 | ||||||