Home | Darpan | Volume 3 | Issue 3 July-Sep 2010 | FDP Session 15th July 2010

FDP Session 15th July 2010

Font size: Decrease font Enlarge font
 Dr. S.S. Bhakar, Dr. S.S. Bhakar,

On 15th July, 2010, Thursday, Dr. S.S. Bhakar, Director Prestige Institute of Management, Gwalior (PIMG) continued the next four Sessions for the day.

He captured four sessions from 10-11:30 am, 11:45-1:15 pm, 2:00- 3:30 pm and 3:45-5:15 pm. In his discourse, he enclosed the topics as Designing a Scale, Determining Validity & Reliability, Hypothesis Testing for Univariate Analysis, Hypothesis Testing for Unvariate Analysis, and Case Study/Exercise

He covered lessons like Attitude Measurement, Attitudes as Hypothetical Constructs, Three Components of an Attitude, Measuring Attitudes through Ranking, Rating, Sorting, Choice, The Attitude Measuring Process, Simple Attitude Scaling, Simplified Scaling, Category Scales etc.; Method of Summated Ratings that included The Likert Scale, Semantic Differential, Numerical Scales, Staple Scales, Behavioral Differential, Paired Comparisons, Graphic Rating Scales, Monadic Rating Scale, Comparative Rating Scale, Unbalanced Scale etc. He also covered Qualitative Research – Case Study Based that included Features of Case Study Research, Limitations of Case Based Research, Determine and Defining the Research Questions, Select the Cases and Determine Data Gathering and Analysis Techniques, Preparing to Collect the Data, Collecting Data in the Field, Evaluate and Analyzing the Data, Computer Tools for Data Analysis, Preparing a Report and Observation Methods, Scientific Observation Is Systematic, What Can Be Observed?, Categories of Observation, Observation of Human Behavior, Limitations, Scientifically Contrived Observation, Physiological Reactions, Eye Tracking Monitors, Psycho galvanometer, Problem Definition and the Research Proposal, The Process of Problem Definition, Research Proposal, Problem Definition & Statement, Report & Management Plan, Top Ten Structure Problems, APA Style.

He also covered the Advantages of Secondary Data, Disadvantages of Secondary Data, Objectives for Secondary Data Studies, Common Research Objectives
for Secondary Data Studies, Fact Finding, Data Mining, Univariate Statistics, Bivariate statistics, Multivariate Statistics, Hypothesis, Types of Hypothesis, Significance Level, A Sampling Distribution, Type I and Type II Errors, Choosing the Appropriate Statistical Technique, Univariate Hypothesis Test Utilizing the t-Distribution, Chi-Square Test, Analysis – Bivariate Techniques, Relationships Among Variables, Correlation Coefficient, Simple Correlation Coefficient, Correlation Patterns, Correlation Matrix, Walkup’s, First Laws of Statistics Regression, Bivariate Linear Regression, Least-Squares, Regression Line The Least-Square Method, Multiple Regression, Selecting Data Collection Methods and Sources, Data Collection Strategies, Rules for Collecting Data, Structured Approach, Semi-structured Approach, Qualitative Approach, Obtrusive vs. Unobtrusive Methods, Triangulation to Increase Accuracy of Data, How to Decide on Data Collection Approach, Mapping, Observation, Categories of Observation, Content Analysis,  Mechanical Observation, Ways to Record Information from Observations, Reliability and Validity, Characteristics of a Good Measure, Types of Validity, Criterion Related Validity and Construct Related Validity.

  • Email to a friend Email to a friend
  • Print version Print version
  • Plain text Plain text

Tagged as:

No tags for this article