Statistical Methods for Psychological Research-I

By Dr. Jitendra Kumar Kushwaha | Assistant Professor at Department of Psychology, Manipur University.

Learners enrolled: 622

This is an elementary course on statistics and here we will begin with basics of statistics. The statistics are needed so that we can formulate our argument laded with substantial data input. The logic of argument may be supported by empirical data. The empirical data has scientific value because it can be retested, validated and verified. Therefore, the knowledge of statistics with its techniques of sampling as well as data collection will be very helpful tools for students.

In this course, you will learn different types of variable and their effect on each other which are captured through numerical data and interpretation of same is done statistically.

The descriptive data represented through graphs will enable students to understand various concepts of psychology more clearly along with their numerical magnitude.

Learning about probability and normal probability distributions will help you understand nature of psychological attributes and how those are distributed in populations.

Analysis of variability would enhance your learning on how much variance one variable has to explain on other variables. The correlation will also indicate degree of associations among variable and thus would propel to investigate the causation among those variables.

The completion of this course will infuse motivation and confidence on numerical interpretations of research analysis to the students.

Summary

Course Status :	Completed
Course Type :	Core
Language for course content :	English
Duration :	12 weeks
Category :	Humanities and Social Sciences
Credit Points :	5
Level :	Undergraduate
Start Date :	23 Jan 2023
End Date :	16 Apr 2023
Enrollment Ends :	15 Mar 2023
Exam Date :

Page Visits

Course layout

WEEEK 1

Psychological Research and Statistics: Descriptive and Inferential Statistics
Variables and Constants.
Measurement Scales: Nominal, Ordinal, Interval and Ratio
Organising Quantitative Data

WEEK 2

Constructing a Grouped Frequency distribution
Relative and Cumulative Frequency Distribution
Computation of Percentiles and Percentile Ranks
Usage of Microsoft Excel and SPSS

WEEK 3

Basic Procedures- Histogram and Frequency Polygon
Bar Diagram
Pie Chart
Cumulative Frequency Graph

WEEK 4

Factors Affecting the Shape of Graphs
Mode (grouped and ungrouped data)
Mean (grouped and ungrouped data)
Median (grouped and ungrouped data)

WEEK 5

Properties and Relative Advantages and Disadvantages of the Mode, Median and Mean
Central Tendency Measures in Normal and in Skewed Distributions
Range: Interquartile and Semi-Interquartile Range (ungrouped data)
Range: Interquartile and Semi-Interquartile Range (grouped data)

WEEK 6

Average Deviation
Variance and Standard Deviation (grouped and ungrouped data)
Properties and Comparison of Measures of Variability
Nature and Properties of Normal Probability Curve (NPC)

WEEK 7

Standard Normal Curve: Finding areas when the scores are known
Standard Normal Curve: Finding Scores when the area is known
Standard Scores and the Normal Curve
Divergence from Normality (Skewness and Kurtosis)

WEEK 8

Normal Curve as a Model for Real Variables and a Model for Sampling Distributions
Meaning of Correlation: Historical Perspective
Correlation: A matter of Direction and A Matter of Degree
Pearson’s Correlation Coefficient from Deviation Scores

WEEK 9

Pearson’s Correlation Coefficient from Raw Scores
Scatterplot of Bivariate Distributions
Spearman’s Rank-Order Correlation Coefficient
Biserial r and its computation

WEEK 10

The Point Biserial r Correlation Coefficient
Tetrachoric r and its Calculation
The phi Coefficient
Partial Correlation

WEEK 11

Multiple Coefficient of Correlation, R.
Correlation and Causation: Cautions Concerning Correlation Coefficients
Sampling: Need and Basic Concepts of Sampling
Determination of Sample Size
Probability Sampling and its types

WEEK 12

Random Sampling: Meaning, Characteristics and Relevance
Random Sampling: Usage of Random Number Tables
Random Sampling Distribution of the Mean: Introduction and Characteristics
Sampling Distribution of Sample Means to Determine the Probability for Different Ranges of Values of Sample Mean;
Non-Probability Sampling and its types

Books and references

References:

Coolican, H. (2009). Research Methods and Statistics in Psychology. London and New York: Routledge. Pp. 263-265
Garrett, H. E. (2021 reprint). Statistics in Psychology and Education. New Delhi : Paragon International Publishers. Pp. 27-30.
Mangal, S.K. (2012). Statistics in Psychology & Education. 2nd Edition. New Delhi: PHI learning Pvt. Ltd. Pp. 41-43.
Kerlinger, F. N. (1973). Foundations of Behavioural Research. New York: Holt, Rinehart and Winston, Inc.
Kerlinger, F. N. (2014 reprint). Foundations of Behavioural Research. New Delhi: Surjeet Publications.
Scientific Research (2022): https://courses.lumenlearning.com/suny-hccc-research-methods/chapter/chapter-1-science-and-scientific-research/ accessed on 01-06-2022 at 13hrs.
Statistics (2022): https://www.investopedia.com/terms/s/statistics.asp. accessed on 01-06-2022 at 13hrs.

Instructor bio

Dr. Jitendra Kumar Kushwaha

Assistant Professor at Department of Psychology, Manipur University.

Dr. Jitendra Kumar Kushwaha is an Assistant Professor at Department of Psychology, Manipur University. He has eight years of teaching experience. Presently, he is teaching Research Methodology, Applied Psychometrics Advanced Statistics and Experimental Designs of Psychological Researches. He was a research fellow of DAAD, Freie University Berlin, Germany. He is well-versed in SPSS and other ICT technology.