DATA ANALYSIS-I

Course Description

Data analysis I course provides the usage of SPSS which is a basic statistics programme for quantitative data analysis. The students will learn entrying data, composing data set, dealing with missing values, recoding variables into same and diffrent variables, calculating the total scores, analysing frequency, properties of normal distribution, investigating extreme values, obtaining graphs, calculating z-scores, correlation and simple regression analysis. Since this course is an application course, the students will learn to conduct these procedures in computer enviroment. Besides conducting several analysis in computer environment, the student will also learn how to read an SPSS output table, how to interpret findings and report the analysis results in accordance with APA style.

DATA ANALYSIS-I

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 1.Student knows to enter data in SPSS and can organise data
2. 02 2.Student knows to to obtain descriptive statistics from an SPSS data
3. 03 3.Student knows to to to obtain and organise severakinds of graphics from an SPSS data
4. 04 4.Can interperete the specialties of several distributions, can transfer raw scores to standart scores and percentiles by SPSS
5. 05 5.Can perform correlational analysis and interpret the results from SPSS output
6. 06 6.Can perform Chi-Square analysis and interpret the results from SPSS output
7. 07 7.Can organize and presents SPSS results by the tables and report in APA format

Course Syllabus

Reference Books & Course Materials

1. 01 Yaratan, H. (2017). Sosyal bilimler için temel istatistik SPSS uygulamalı. Ankara: Anı Yayıncılık.
2. 02 Büyüköztürk, Ş. (2016) Sosyal Bilimler için VERİ ANALİZİ EL KİTABI. Pegem Yayıncılık
3. 03 Büyüköztürk, Ş., Çokluk, Ö.,Köklü, N.(2015) Sosyal Bilimler İçin İstatistik. Pegem Yayıncılık

Learning Outcomes

1. L01 1.Student knows to enter data in SPSS and can organise data SOLO 4
2. L02 2.Student knows to to obtain descriptive statistics from an SPSS data SOLO 2
3. L03 3.Student knows to to to obtain and organise severakinds of graphics from an SPSS data SOLO 4
4. L04 4.Can interperete the specialties of several distributions, can transfer raw scores to standart scores and percentiles by SPSS SOLO 4
5. L05 5.Can perform correlational analysis and interpret the results from SPSS output SOLO 4
6. L06 6.Can perform Chi-Square analysis and interpret the results from SPSS output SOLO 4
7. L07 7.Can organize and presents SPSS results by the tables and report in APA format SOLO 2

Program Outcomes

1. P01 Demonstrate an understanding of the core subfields of psychology — including but not limited to clinical, developmental, cognitive, social, and biological/neuroscientific psychology — and their interconnections with other scientific disciplines, critically evaluating the value of a multidisciplinary approach to scientific inquiry in psychology.
2. P02 Apply scientific methods, research techniques, measurement and psychometric principles (e.g., reliability, validity, scale development/adaptation), and quantitative/statistical reasoning to investigate psychological phenomena, recognizing methodological strengths, limitations, common reasoning fallacies, and the flaws of pseudoscience.
3. P03 Employ logical, intuitive, and creative thinking to analyze psychological concepts, evaluate theories (including their historical and philosophical development), synthesize information, and solve complex problems related to cognition and behavior.
4. P04 Integrate psychological theories and findings into practical settings (e.g., business, policy, clinical/counseling contexts, and daily life), applying foundational applied skills such as interviewing, observation, and case formulation, drawing meaningful conclusions to inform individual, organizational, and societal practices.
5. P05 Describe key ethical principles in psychological research and practice, critically applying these principles to dilemmas across academic, professional, and everyday contexts.
6. P06 Recognize how individual differences (e.g., beliefs, values, backgrounds) impact behavior and relationships; use psychological knowledge to prevent or resolve intercultural and interpersonal conflicts and promote inclusive, respectful interactions.
7. P07 Exhibit self-regulation and self-awareness, demonstrating a commitment to psychological well-being, effective time management, constructive incorporation of feedback, and ongoing personal and professional development.
8. P08 Collaborate effectively in diverse teams, demonstrating responsibility, bias awareness, conflict resolution skills, and leadership in achieving collective goals.
9. P09 Communicate psychological knowledge clearly and appropriately for academic, professional, and public audiences using inclusive language, both in written and oral formats, and by accurately summarizing and presenting research findings.
10. P10 Use information and communication technologies (including AI and digital media) responsibly and effectively for research, collaboration, and the dissemination of psychological knowledge.
11. P11 Embrace lifelong learning and adaptability in response to evolving psychological knowledge and societal needs, engaging with global perspectives and demonstrating intercultural awareness.

Po-Lo Matrix