Crack UGC NET with Expert’s Guidance on Preparation of UGC NET in Psychology
About Expert: Prof. (Dr) Tosendra Dwivedi, a distinguished figure in the field of psychology, currently serves as a Professor of Psychology at […]
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Sensory Systems: General and specific sensations, receptors and processes
The human sensory system is a marvel of biological engineering, allowing us to perceive and interact with the world around us. It is through our sensory organs that we experience the richness of life, from the taste of a delicious meal to the warmth of sunlight on our skin.
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Computer-based Psychological Testing
In the rapidly advancing landscape of technology, the field of psychological testing has witnessed a significant transformation with the advent of computer-based testing (CBT). This paradigm shift from traditional paper-and-pencil assessments to digital platforms has not only streamlined the testing process but has also opened new avenues for research and analysis.
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Areas of Psychological Testing: Intelligence, Creativity, Neuropsychological, Aptitude, Personality, Interest
Psychological testing plays a crucial role in understanding various aspects of an individual’s cognitive, emotional, and behavioural functioning. It encompasses a wide range of areas, each designed to assess specific dimensions of human psychology.
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Psychological Test Standardization: Reliability, Validity and Norms
Psychological tests serve as windows into the complexities of the human mind, offering valuable insights into cognition, behaviour, and emotions. However, to ensure these tests are effective and meaningful, a crucial step in their development is standardization.
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Psychological Test Construction: Item writing, Item analysis
Psychological tests are meticulously crafted instruments designed to unveil the intricacies of human cognition, emotion, and behaviour. At the core of every well-constructed psychological test lie two essential processes – item writing and item analysis.
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Different Types of Psychological Tests
Psychological tests are indispensable tools in the field of psychology, serving as gateways to understanding and assessing various aspects of human cognition, emotion, and behaviour. This blog will provide an in-depth exploration of different types of psychological tests, shedding light on their purposes, methodologies, and applications across diverse domains of psychology.
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Experimental Designs: ANOVA, Cohort studies, Time series, MANOVA, ANCOVA, Single-subject designs
Experimental designs play a crucial role in scientific research, allowing researchers to systematically investigate relationships between variables and draw meaningful conclusions. Among various experimental designs, this blog will delve into the intricacies of ANOVA (One-way, Factorial), Randomized Block Designs, Repeated Measures Design, Latin Square, Cohort studies, Time series, MANOVA, ANCOVA, and Single-subject designs.
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Correlation, Partial correlation, multiple correlation, Biserial, Point biserial, Tetrachoric, Phi coefficient
Correlational analysis stands as a cornerstone in statistics, unveiling intricate relationships between variables. In this comprehensive blog post, we delve into the depths of correlation, exploring various techniques including Product Moment Correlation, Rank Order Correlation, Partial Correlation, and Multiple Correlation.
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Exploring Measures of Central Tendency, Dispersion, Normal Probability Curve, Parametric and Non-parametric Tests, Power Analysis, and Effect Size
In the dynamic field of psychology, the role of statistics cannot be overstated. It serves as the compass, guiding researchers through the intricate process of data analysis and interpretation. This blog aims to provide an in-depth exploration of several critical statistical methodologies employed in psychological research. Our journey begins with a discussion on Measures of Central Tendency and Dispersion, progressing through the Normal Probability Curve, Parametric Tests (with a specific focus on the t-test), Non-parametric Tests, Power Analysis, and culminating in the examination of Effect Size.
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