This course is about advanced techniques required in the quantitative data analysis of business research through IBM- SPSS. This course is for all learners since it provides the understanding from basic to advanced techniques making it easier for a beginner and also a learner with the basic knowledge of SPSS.
Those students who want to master the techniques to use SPSS and carry out analysis of the research data can take this course. It has mainly 11 sections and the main concepts taught through out the sections are:
The course has helping material to understand the concepts better in the form of short notes and also the practice exercises at every step to master the skills required to perform analysis.
Students will be able to get the basic knowledge about spss that how to insert data and get the case summaries for the analysis.
Students will be able to cover another basic tools of creating labels for items and then value labels for their data.
Students will be able to get to know that how variables can be added, deleted or moved in the data set of SPSS.
Students will learn to modify default options in SPSS according to their needs in data set.
Students will be able to measure mode, median and mean in a data set.
Students will learn the basic kind of statistical analysis to sum up their data by creating stem and leaf plot.
Students will be able to create the basic pie and bar chart.
Students will be able to learn what actually data analysis is and what kind of analyses we are going to perform in SPSS.
Students will be able to know what actually reliability is and refresh their concepts about reliability.
Students will be able to perform Reliability Analysis by learning techniques and the concepts involved in it.
Students will be able to know that how to interpret Reliability in APA format.
Students will be able to know what actually demographics are an then their existence in the data set in SPSS.
Students will be able to perform Demographic Analysis and then interpret it in APA format.
Students will be able to know the meaning of descriptive and then importance of normality analysis in data.
Students will be able to check the variability in their variables and data and see if the data is normal or not by performing normality analysis.
Students will be able to perform factor analysis if they are taking an adapted questionnaire or if they have made it by themselves.
Students will be able to learn why do we conduct correlation and then different ranges lying within it for hypothesis acceptance.
Students will be able to perform correlation for associative studies and then interpret them in APA format.
Students will get the knowledge about the two basic types of regression- Linear and Multiple.
Students will be able to perform and interpret Linear Regression.
Students will be able to learn how to perform regression in case of multiple variables and then interpret it in APA format.
I am instructor in teaching courses related to business and have strong command in areas of Human Resources- the field I am specialized in. For me, the favorite part of teaching is the interaction with students where I am able to deliver my knowledge and help students to learn skills.
I have been a potential student scoring distinction throughout my educational career and now a potential instructor to share my knowledge and expertise.
I have taught courses online before too and I have always excelled in curricular and extra-curricular activities and a team leader always. I enjoy reading, working hard and then finding ways to improve myself as a person.