B. A. (Psychology | मनोविज्ञान), MSU, CCSU & All Universities

Basic Research Methodology and Statistics - बुनियादी अनुसंधान पद्धति और सांख्यिकी

Exam Preparation for Basic Research Methodology and Statistics - बुनियादी अनुसंधान पद्धति और सांख्यिकी: This model paper is designed ... Show more

Instructor

Teach To India

307 Students enrolled

1 review

Description
Curriculum
Reviews

Basic Research Methodology and Statistics.png

Share with Friends

Model Question Paper

Basic Research Methodology and Statistics – बुनियादी अनुसंधान पद्धति और सांख्यिकी

Key Features | मुख्य विशेषताएँ

Bilingual Model Paper | द्विभाषी मॉडल पेपर
Enough MCQ for Practice | अभ्यास के लिए पर्याप्त MCQ
Exam Practice Paper with Mock Tests | मॉक टेस्ट के साथ परीक्षा अभ्यास पत्र
Latest Syllabus as per NEP | NEP के अनुसार नवीनतम पाठ्यक्रम
Designed by Experts | विशेषज्ञों द्वारा तैयार किया गया

The given MCQs cover only 10% of the syllabus | दिए गए बहुविकल्पीय प्रश्न केवल 10% पाठ्यक्रम को कवर करते हैं।

To cover 100% of the syllabus with summaries, upgrade to our Advanced Model Paper.| पूरा सिलेबस और सारांश कवर करने के लिए हमारा एडवांस मॉडल पेपर जॉइन करें। Join Advanced Model Paper

Program Class: Certificate/ BA		Year: First		Semester: Second
Subject: Psychology
Course Title: Basic Research Methodology and Statistics
Course Learning Outcomes: The learners will be able to comprehend psychological data and can put them on appropriate scaling method. Moreover, they will be getting hold of essentials of psychological testing along with various kinds of tests implemented.
Credits: 4			Core Compulsory
Max. Marks: –25+75			Min. Passing Marks: 33
Unit	Topics
I	Measurement: Nature and Scales of Psychological Measurement; Properties and Functions of Measurement.
II	Scientific Approach: Aim and Functions; Research Methods: Experimental, Correlational, and Observational; Variable: Concept and Types; Hypothesis: Types and Criteria; Sampling: Concept and Methods.
III	Psychological Statistics: Introduction; Descriptive Statistics: Measures of Central Tendency and Measures of Variability; Graphical Representation of Data.
IV	The Normal Distribution: Meaning and Uses, Significance of Statistics, t test.
V	Correlation: Types, Calculations and Interpretation of product moment and rank order; Chi- Square tests.
VI	Tests: Concept and Types; Psychometric Properties of Tests: Validity and Reliability: Nature and Types.
VII	Intelligence Testing: Measurement of abilities: Stanford Binet, and Wechsler Test of Intelligence, Culture Fair Tests: Structure and Application.
VIII	Personality Tests: Self Report Inventories (16 PF, NEO-PIR), Projective Techniques: Nature and Types.