Statistical Methods for Psychological Research - II

Offered bySwayam

Statistical Methods for Psychological Research - II
at
Swayam
Overview

Mastering Advanced Statistical Techniques for In-Depth Psychological Research: Multivariate Analysis, Structural Equation Modeling, and Hierarchical Linear Modeling

Duration	15 weeks
Start from	Start Now
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate

Statistical Methods for Psychological Research - II
at
Swayam
Highlights

Earn a certification after completion
Learn from expert faculty

Statistical Methods for Psychological Research - II
at
Swayam
Course details

Skills you will learn

Anova Software Testing Data Science Statistics Psychology Hypothesis Testing

Who should do this course?

Those pursuing advanced degrees (Master's or PhD) in psychology who need a deep understanding of statistical methods to design, analyze, and interpret research studies.

What are the course deliverables?

To provide the essential knowledge of statistical science for dealing the research methodology in Psychology
Statistical Inference is the main focus with more emphasis on the testing of statistical hypothesis
To impart the knowledge on the handling procedures of Both parametric and non-parametric tests in the contexts of Small and large sample size cases
To provide the theoretical and conceptual understanding of different statistical tests with illustrations
To train the students through problem solving and enable them for having proper understanding of statistical methods for psychological research

More about this course

The concept of statistical inference is the most popular mechanism for exploring the interpretations of several research hypotheses. Meaningful conclusions on the study of hypotheses can be drawn from these contents
The intended objective is to address part 2 of statistical inference, i.e., the testing of statistical hypotheses more suited to research in psychological studies. Hence, this course has a significant scope for the usage of different statistical techniques for psychological research methodology
This course is designed to keep in mind the students of graduate (hons) universities and other HEIs. It has focused on the parametric as well as non-parametric testing of hypotheses

Statistical Methods for Psychological Research - II
at
Swayam
Curriculum

Week 1

Overview on Inferential Statistics

Hypothesis Testing with Small Sample Sizes (t test)

Hypothesis Testing with Large Sample Sizes

Assumptions in Hypothesis Testing for a Single Mean; the Null and the Alternative Hypotheses

Week 2

Choice of Ha One-Tailed and Two-Tailed Tests; Steps for Hypothesis Testing

Hypothesis Testing about a Single Mean and Calculation

The Statistical Decision Making Regarding Retention and Rejection of Null Hypothesis

Estimating the Standard Error of the Mean when ? is Unknown

Week 3

t Sampling Distribution - Description, Characteristics, Computing with Definitional Formula

Overview of Statistical Inference and Hypothesis Testing

Critical Value, Significance Level and p-value

A Statistically Significant Difference versus a Practically Important Difference

Week 4

Errors in Hypothesis Testing and Power of a Test

Hypothesis Testing about the Difference between Two Independent Mean - An Overview

Null and Alternative Hypotheses; the Random Sampling Distribution of the Difference between Two Sample Means

Week 5

Properties of Sampling Distribution of the Difference Between Two Sample Means

Determining a Formula for t-distribution

Testing the Hypothesis of No Difference between Two Independent Means; Use of One-Tailed Test

Week 6

Assumptions Associated with Inference about the Difference between Two Independent Means

Hypothesis Testing about the Difference Between Two Dependent (Correlated) Means – An Overview

The Null and Alternative Hypotheses for Testing the Difference between Two Dependent (Correlated) Means

Week 7

Determining a Formula for t in Testing the Differences Between Two Dependent (Correlated) Means

Determining t test statistic, Properties and Degrees of Freedom for Tests of No Difference Between Dependent Means

Testing a Hypothesis about Two Dependent Means using the Formula Involving Standard Errors and Correlation Only

Week 8

Null Hypothesis and Alternative Hypothesis

Hypothesis Testing for Differences among Three or more Groups

Basis, Assumptions within and between - Group Variances of One-Way ANOVA

Week 9

Partition of Sum of Squares and One-Way ANOVA Procedure

Application of One-Way ANOVA

Post-Hoc Comparisons in One-Way ANOVA

Raw Score Formula and Comparison of t and F Test

Week 10

Hypothesis Testing for Categorical Variables and Inference about Frequencies

The Chi-Square as a Measure of Discrepancy between Expected and Observed Frequencies

Logic of the Chi-Square Test; Assumptions of Chi-Square

Statistical Methods for Psychological Research - II
at
Swayam
Faculty details

Dr. Tirupathi Rao Padi

Dr. Tirupathi Rao is currently working as the Professor, Department of Statistics, Pondicherry University form 4th January 2012 onwards. It is his 3rd academic institute. He has worked with Sri Venkateswara University, Tirupati from 9.7.2007 to 3.1.2012; at Mrs. A.V.N. College, Visakhapatnam, A.P. (A government Aided College under the UGC scales of pay from 20th November 1988 to 8th June 2007.