2-months hands on training on SPSS

Paper 1: Introduction to SPSS Interface and Data Management.

Importing and exporting the file, data view, data validation, missing data management, coding and decoding the data, new variable creation, variable transformation, sorting and filtering the data, creating syntax file, data manipulation, data merging and appending, 

Paper 2: Descriptive Statistics, Data Exploration and Data Visualization

Central tendency, Measure of dispersion- Range, variance, standard deviation, interquartile range, measures of normal distribution-skewness and kurtosis.

 Data visualization-bar plot, histogram, boxplot, pie chart, line plot, Stacked Bar, Scatter plot, dealing with imbalanced data set, Data exploration- Data normalization, 

Paper 3: Introduction to Inferential Statistics, Chi-square test, t-test

Inferential statistics- hypothesis testing

t-test- Independent t- test, paired sample t – test, Welch's t-test, Mann Whitney u test, signed rank test, confidence interval. 

Paper 4: ANOVA, Regression Analysis, Outlier detection

ANOVA- one way and two way ANOVA, repeated measures ANOVA

Regression Analysis- correlation, simple linear regression, logistic regression, outlier detection.

Paper 5: Practice and Review

Project report writing. 

CALENDAR

Class stars: 1.3.24.

Class ends: 1.5.24

Class day: Monday, Wednesday and Friday.

TIME: 3 TO 4 PM 

MARKS DISTRIBUTION 

Assignment for theory: 4 theory papers X 15 marks=60

Project report: 30

Viva: 10

PEDAGOGY

#Data will be provided to students initially for hands on training in class. Later they will apply them on their own data set.

#One project proposal will be submitted initially by the students and they will submit their reports for evaluation.

#Students will share the assignment in Google classroom and share experience in the WhatsApp group.

SOFTWARE

https://www.ibm.com/spss

PROJECT FORMAT

Title page: Title, acknowledgement, Declaration, Contents.

Title: Analysis of value name like (Self Awakening) data using SPSS

Introduction: Definition of value, literature review of value. 

Method: 

Data source, Data structure (30 participants X 5 items= 150 observations), Data description.

Results and Interpretation. Tables and Figures.

1. Descriptive statistics include frequency distribution, percentage, mean, median, mode, and SD. 

2. Data visualization of descriptive statistics; histogram, box whisker plot,  barplot, pie chart. 

3. Inferential Statistics: Cross tabulation of 5 items. Item total correlation, data visualization of cross tabulation, and data visualization of simple regression where dependent variable is total score and independent variable will be the items.

Discussion 

Reference 

Appendix 

3 months course on Music therapy

Papers

Paper 1. Introduction to Music Therapy - 

Overview of Music Therapy: Definition, history, and its applications.

Theories and Approaches: Discuss various therapeutic models and their principles.

Ethical Considerations: Address ethical issues and boundaries in music therapy.

1.1. Overview of music therapy

Definition of Music Therapy

Types of Music Therapy

Goals of Music Therapy

Roles and responsibilities of music therapy: Creating a therapeutic environment,Choosing appropriate music,Facilitating the therapeutic process.

1.2 Theories and approaches in music therapy

Psychodynamic approach

Behavioral approach

Cognitive Behaviour therapy.

Humanistic approach.

Neurological approaches.

1.3. Ethical Considerations: Confidentiality, Dual relationship, informed consent, client autonomy, Non-discrimination.

Assessment 

Group discussion on the different aspects of Music Therapy covered in the three-day lesson plan.

Written reflection on the role of music in personal life and how it relates to the principles of Music Therapy.

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Paper 2 Music Foundations

2.1. Music and Physics : rhythm, melody, harmony, and dynamics.

2.2. Music and Mathematics: Music graphics, Music improvisation, Music ranking, Music scale.

2.3  Music and Physiology: Stress reduction, Pain management, Neuroplasticity.

2.4. Music and Psychology. Memory and Recall, Self-efficacy, Creativity, Mood regulation.

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Paper 3 : Therapeutic Settings 

3.1. Developmental Music Therapy: Focus on children and adolescents.

3.2.Geriatric Music Therapy: Discuss techniques for working with older adults.

3.3. Mental Health Applications: Explore music therapy for anxiety, depression, and trauma.

3.4. Special Needs Populations: Address music therapy for individuals with disabilities.

3.5..Music therapy in School settings.

Paper 4: Rabindrik Psychotherapy.

4.1. Topography of Consciousness: Characteristics and functions of Murta, Raag and Saraswat layers.

4.2. Postulates of Rabindrik Psychotherapy.

4.3. Force field theory.

4.4. Rabindrasangeet based human values.

Paper 5 Practicum

5.1. Anecdotal report of Music therapy 

5.2  Literature review on Music therapy.

5.3. Learning of 2 Rabindrasangeet.

5.4. Rabindik value preference analysis.

5.5. Music therapy Video analysis.

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Short term Research Project

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