PSYCHOLOGY
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1311121004
Ders İsmi: Statistics in Behavioral Sciences II
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. Ayşe AYÇİÇEĞİ DİNN
Course Lecturer(s): İDE Staff
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The purpose of this course is to introduce students to hypothesis testing in behavioral sciences. Topics covered include t-statistics, analysis of variance, estimation, simple linear regression and correlation and non-parametric tests. Students are expected to choose appropriate statistical tests, make decisions based on calculations and report statistical analyses.
Course Content: Statistics in behavioral sciences

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To explain the logic and appropriate applications of statistical analyses for univariate or bivariate research designs, problems, or hypotheses
2) To identify and apply appropriate strategies of quantitative problem solving in theoretical and practical applications
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) To select, analyze, and interpret appropriate numerical data used in everyday life in numerical and graphical format
2) To construct a conclusion using quantitative justification.
Field Specific Competence
1) To interpret statistical findings and graphs in the context of their level of statistical significance, including the influence of effect size, and explain these findings using a common language
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Syllabus Discuss Course Outline Review of Hypothesis Testing Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
2) Introduction to the t Statistics Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
3) T –Test for Independent Samples Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
4) T –Test for Two Related Samples Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
5) Estimation Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
6) MIDTERM EXAM Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
7) ANOVA Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
8) ANOVA Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
9) Two-Factor Analysis of Variance (Independent Measures) Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
10) Correlation Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
11) Introduction to regression Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
12) Introduction to regression Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
13) The Chi-Square Statistics Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
14) Overview of the Course Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
15) FINAL EXAM Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth. Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage

Sources

Course Notes / Textbooks: Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth.

Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage
References: Gravetter, F.J. &Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. (9 ed). Belmont, CA: Wadsworth.

Field, A. (2013). Discovering statistics using SPSS (4th ed.) London: Sage

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

3

2

4

5

Program Outcomes
1) Knows the basic concepts and subfields of the science of psychology. Uses the knowledge based on theoretical practice in the field of study.
2) Knows the basic research methods of the science of psychology, applies and interprets the data obtained.
3) Our graduates are aware of their competence and competencies in their studies in the field.
4) Our graduates continue their professional development by constantly following local and universal developments that will contribute to their professional life.
5) Our graduates contribute to their field by having effective communication and problem solving skills.
6) Our graduates know the ethical values of psychology science and respect differences.
7) Our graduates know the social and universal effects of the field of study and its legal consequences.
8) Our graduates are knowledgeable about other fields related to psychology. Uses this knowledge in collaborative work.
9) Follows the English literature and basic resources in the field of psychology.

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Knows the basic concepts and subfields of the science of psychology. Uses the knowledge based on theoretical practice in the field of study.
2) Knows the basic research methods of the science of psychology, applies and interprets the data obtained.
3) Our graduates are aware of their competence and competencies in their studies in the field.
4) Our graduates continue their professional development by constantly following local and universal developments that will contribute to their professional life.
5) Our graduates contribute to their field by having effective communication and problem solving skills.
6) Our graduates know the ethical values of psychology science and respect differences.
7) Our graduates know the social and universal effects of the field of study and its legal consequences.
8) Our graduates are knowledgeable about other fields related to psychology. Uses this knowledge in collaborative work.
9) Follows the English literature and basic resources in the field of psychology.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Semester Final Exam 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 15 210
Midterms 1 9 9
Final 1 9 9
Total Workload 270