Sunday, November 30, 2014

Psychology Statistics Tuition in Singapore for JCU, Curtin, Murdorch Students - SMS 9758-7935 for statistics tutors

Gold Medal Award Holder and First Class Honours Tutor with 11 years of teaching experience for your statistics tuition. SMS Valerie @ 9758-7925

I offer both one-to-one and group statistics tuition for psychology students. For group tuition, the optimal number of students per class is between 4 to 6. Please form your own group because this will facilitate my teaching methodology.

What you can expect from my tuition:

1. Supplementary notes
2. Practice questions
3. Past year paper questions
* Materials given might differ depending on student's given school materials

Teaching Methodology:

1. Understanding concepts and application of concept to questions
2. Developing Analytical and problem solving skills
3. Identifying exam trends and skills (Questions spotting)
4. Practicing variety of questions to prepare you for your exam
5. Simplifying difficult concepts
6. Identifying and improving your weakness

Do contact me at 9758-7925 or email enquiry@starcresto.com for tuition.

Student's Profile:

> Tertiary Student --
**Poly / JC (NYP, RP, SP, TP, NP, MDIS, Informatics, SIM, SAS, ACSI)
**University (NTU, NUS, SMU, Uni SIM, UOL, RMIT, SAS, MDIS, University of Southeren Australia, James Cook University, University of Newcastle, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School)
**Master (Insead, Singapore Management University, Manchester, Uni of Southern Australia, Uni of Buffalo, Uni of Adelaide, NUS, University of State of New York)
> Working Adults -- Managers, Deputy Directors, Divisional Directors, Auditors, Analyst, Credit Advisor, AVP

Tutor's Profile:
> Name -- Valerie Chai Hui Yee
> O Level -- 8 Distinctions for O'Level
> Diploma -- Singapore Polytechnic: Merit Diploma, Honours Roll, SIM Award, Singapore Polytechnic and School of Business Scholar
> Degree -- Nanyang Business School (Top Business School in Asia), NTU: First Class Honours, Dean List, C.H. Wee Gold Medal, Sumitomo Banking Corporation Scholar
> Post Graduate -- Certified Financial Analyst: CFA L1
> Experience -- 11 years tutoring, 4 years Tutor Training (Training up other tutors to teach)
> Status -- Full time tutor

For more information, you can visit www.tertiarytuition.com or www.tuition.starcresto.com

Monday, November 24, 2014

JCU Psychology Statistics Tuition in Singapore. SMS 9758-7925 for Stats Tuition!

Monday, September 22, 2014

Psychology Statistics Tuition in Singapore by Gold medal award, First class honours, 11 years of experience stats tutor

Monday, September 15, 2014

Psychology Statistics Tuition in Singapore. SMS 9758-7925 for statistics tutors!

Sunday, September 7, 2014

Psychology Statistics Tuition in Singapore - SPSS, Research help - SMS 9758-7925 for statistics tutor

Gold Medal Award Holder and First Class Honours Tutor with 11 years of teaching experience for your statistics tuition. SMS Valerie @ 9758-7925

I offer both one-to-one and group statistics tuition for psychology students. For group tuition, the optimal number of students per class is between 4 to 6. Please form your own group because this will facilitate my teaching methodology.

What you can expect from my tuition:

1. Supplementary notes
2. Practice questions
3. Past year paper questions
* Materials given might differ depending on student's given school materials

Teaching Methodology:

1. Understanding concepts and application of concept to questions
2. Developing Analytical and problem solving skills
3. Identifying exam trends and skills (Questions spotting)
4. Practicing variety of questions to prepare you for your exam
5. Simplifying difficult concepts
6. Identifying and improving your weakness

Do contact me at 9758-7925 or email val@starcresto.com or tutor@tertiarytuition.com for tuition.

Student's Profile:

> Tertiary Student --
**Poly / JC (NYP, RP, SP, TP, NP, MDIS, Informatics, SIM, SAS, ACSI)
**University (NTU, NUS, SMU, Uni SIM, UOL, RMIT, SAS, MDIS, University of Southeren Australia, James Cook University, University of Newcastle, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School)
**Master (Insead, Singapore Management University, Manchester, Uni of Southern Australia, Uni of Buffalo, Uni of Adelaide, NUS, University of State of New York)
> Working Adults -- Managers, Deputy Directors, Divisional Directors, Auditors, Analyst, Credit Advisor, AVP

Tutor's Profile:> Name -- Valerie Chai Hui Yee
> O Level -- 8 Distinctions for O'Level
> Diploma -- Singapore Polytechnic: Merit Diploma, Honours Roll, SIM Award, Singapore Polytechnic and School of Business Scholar
> Degree -- Nanyang Business School (Top Business School in Asia), NTU: First Class Honours, Dean List, C.H. Wee Gold Medal, Sumitomo Banking Corporation Scholar
> Post Graduate -- Certified Financial Analyst: CFA L1
> Experience -- 11 years tutoring, 4 years Tutor Training (Training up other tutors to teach)
> Status -- Full time tutor

For more information, you can visit www.tertiarytuition.com or www.tuition.starcresto.com

Sunday, July 20, 2014

JCU Psychology Statistics Tutor in Singapore. SMS 9758-7925 for statistics tuition!

Gold Medal Award Holder and First Class Honours Tutor with 10 years of teaching experience for your statistics tuition. SMS Valerie @ 9758-7925

I offer both one-to-one and group statistics tuition for psychology students. For group tuition, the optimal number of students per class is between 4 to 6. Please form your own group because this will facilitate my teaching methodology.

What you can expect from my tuition:

1. Supplementary notes
2. Practice questions
3. Past year paper questions
* Materials given might differ depending on student's given school materials

Teaching Methodology:

1. Understanding concepts and application of concept to questions
2. Developing Analytical and problem solving skills
3. Identifying exam trends and skills (Questions spotting)
4. Practicing variety of questions to prepare you for your exam
5. Simplifying difficult concepts
6. Identifying and improving your weakness

Do contact me at 9758-7925 or email val@starcresto.com or tutor@tertiarytuition.com for tuition.

Student's Profile:

> Tertiary Student --
**Poly / JC (NYP, RP, SP, TP, NP, MDIS, Informatics, SIM, SAS, ACSI)
**University (NTU, NUS, SMU, Uni SIM, UOL, RMIT, SAS, MDIS, University of Southeren Australia, James Cook University, University of Newcastle, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School)
**Master (Insead, Singapore Management University, Manchester, Uni of Southern Australia, Uni of Buffalo, Uni of Adelaide, NUS, University of State of New York)
> Working Adults -- Managers, Deputy Directors, Divisional Directors, Auditors, Analyst, Credit Advisor, AVP

Tutor's Profile:> Name -- Valerie Chai Hui Yee
> O Level -- 8 Distinctions for O'Level
> Diploma -- Singapore Polytechnic: Merit Diploma, Honours Roll, SIM Award, Singapore Polytechnic and School of Business Scholar
> Degree -- Nanyang Business School (Top Business School in Asia), NTU: First Class Honours, Dean List, C.H. Wee Gold Medal, Sumitomo Banking Corporation Scholar
> Post Graduate -- Certified Financial Analyst: CFA L1
> Experience -- 10 years tutoring, 3 years Tutor Training (Training up other tutors to teach)
> Status -- Full time tutor

For more information, you can visit www.tertiarytuition.com or www.tuition.starcresto.com

Sunday, July 13, 2014

JCU Psychology Statistics, Research, SPSS tuition in Singapore. SMS 9758-7925 or email enquiry@starcresto.com for tuition!

Sunday, July 6, 2014

Psychology Statistics Tuition in Singapore

Monday, June 9, 2014

Psychology stats tuition in Singapore by highest first class honours gold medal award stats tutor

Wednesday, May 28, 2014

Psychology Statistics Stats, Research Methods, SPSS Tuition in Singapore

Gold Medal Award Holder and First Class Honours Tutor with 10 years of teaching experience for your statistics tuition. SMS Valerie @ 9758-7925

I offer both one-to-one and group statistics tuition for James Cook University (JCU) psychology students. For group tuition, the optimal number of students per class is between 4 to 6. Please form your own group because this will facilitate my teaching methodology.

What you can expect from my tuition:

1. Supplementary notes
2. Practice questions
3. Past year paper questions
* Materials given might differ depending on student's given school materials

Teaching Methodology:

1. Understanding concepts and application of concept to questions
2. Developing Analytical and problem solving skills
3. Identifying exam trends and skills (Questions spotting)
4. Practicing variety of questions to prepare you for your exam
5. Simplifying difficult concepts
6. Identifying and improving your weakness

Do contact me at 9758-7925 or email val@starcresto.com or tutor@tertiarytuition.com for tuition.

Student's Profile:

> Tertiary Student --
**Poly / JC (NYP, RP, SP, TP, NP, MDIS, Informatics, SIM, SAS, ACSI)
**University (NTU, NUS, SMU, Uni SIM, UOL, RMIT, SAS, MDIS, University of Southeren Australia, James Cook University, University of Newcastle, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School)
**Master (Insead, Singapore Management University, Manchester, Uni of Southern Australia, Uni of Buffalo, Uni of Adelaide, NUS, University of State of New York)
> Working Adults -- Managers, Deputy Directors, Divisional Directors, Auditors, Analyst, Credit Advisor, AVP

Tutor's Profile:> Name -- Valerie Chai Hui Yee
> O Level -- 8 Distinctions for O'Level
> Diploma -- Singapore Polytechnic: Merit Diploma, Honours Roll, SIM Award, Singapore Polytechnic and School of Business Scholar
> Degree -- Nanyang Business School (Top Business School in Asia), NTU: First Class Honours, Dean List, C.H. Wee Gold Medal, Sumitomo Banking Corporation Scholar
> Post Graduate -- Certified Financial Analyst: CFA L1
> Experience -- 10 years tutoring, 3 years Tutor Training (Training up other tutors to teach)
> Status -- Full time tutor

For more information, you can visit www.tertiarytuition.com or www.tuition.starcresto.com

Monday, May 26, 2014

Psychology Stats Tuition in Singapore by Full time 10 years teaching experience, First Class Honours Graduate Tutor

Gold Medal Award Holder and First Class Honours Tutor with 10 years of teaching experience for your statistics tuition. Call Valerie @ 9758-7925

I offer both one-to-one and group statistics tuition for James Cook University (JCU) psychology students. For group tuition, the optimal number of students per class is between 4 to 6. Please form your own group because this will facilitate my teaching methodology.

What you can expect from my tuition:

1. Supplementary notes
2. Practice questions
3. Past year paper questions
* Materials given might differ depending on student's given school materials

Teaching Methodology:

1. Understanding concepts and application of concept to questions
2. Developing Analytical and problem solving skills
3. Identifying exam trends and skills (Questions spotting)
4. Practicing variety of questions to prepare you for your exam
5. Simplifying difficult concepts
6. Identifying and improving your weakness

Do contact me at 9758-7925 or email val@starcresto.com or tutor@tertiarytuition.com for tuition.

Student's Profile:

> Tertiary Student --
**Poly / JC (NYP, RP, SP, TP, NP, MDIS, Informatics, SIM, SAS, ACSI)
**University (NTU, NUS, SMU, Uni SIM, UOL, RMIT, SAS, MDIS, University of Southeren Australia, James Cook University, University of Newcastle, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School, London School of Economics, Manchester Business School, University of Nottingham, Melbourne Business School)
**Master (Insead, Singapore Management University, Manchester, Uni of Southern Australia, Uni of Buffalo, Uni of Adelaide, NUS, University of State of New York)
> Working Adults -- Managers, Deputy Directors, Divisional Directors, Auditors, Analyst, Credit Advisor, AVP

Tutor's Profile:> Name -- Valerie Chai Hui Yee
> O Level -- 8 Distinctions for O'Level
> Diploma -- Singapore Polytechnic: Merit Diploma, Honours Roll, SIM Award, Singapore Polytechnic and School of Business Scholar
> Degree -- Nanyang Business School (Top Business School in Asia), NTU: First Class Honours, Dean List, C.H. Wee Gold Medal, Sumitomo Banking Corporation Scholar
> Post Graduate -- Certified Financial Analyst: CFA L1
> Experience -- 10 years tutoring, 3 years Tutor Training (Training up other tutors to teach)
> Status -- Full time tutor

For more information, you can visit www.tertiarytuition.com or www.tuition.starcresto.com

Thursday, April 24, 2014

How to run and Interpret Multiple Regression Analysis using SPSS?

Issues with Running Multiple Regression or interpreting them on SPSS? SMS 97587925 or email enquiry@starcresto.com for tuition now!

How to run and Interpret Multiple Regression Analysis using SPSS?

Introduction

Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable). The variables we are using to predict the value of the dependent variable are called the independent variables (or sometimes, the predictor, explanatory or regressor variables).

For example, you could use multiple regression to understand whether exam performance can be predicted based on revision time, test anxiety, lecture attendence, and gender. Alternately, you could use multiple regression to understand whether daily cigarette consumption can be predicted based on smoking duration, age when started smoking, smoker type, income, and gender.

Multiple regression also allows you to determine the overall fit (variance explained) of the model and the relative contribution of each of the predictors to the total variance explained. For example, you might want to know how much of the variation in exam performance can be explained by revision time, test anxiety, lecture attendence and gender "as a whole", but also the "relative contribution" of each independent variable in explaining the variance.

This "quick start" guide shows you how to carry out multiple regression using SPSS, as well as interpret and report the results from this test. However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for multiple regression to give you a valid result. We discuss these assumptions next.

Assumptions

When you choose to analyse your data using multiple regression, part of the process involves checking to make sure that the data you want to analyse can actually be analysed using multiple regression. You need to do this because it is only appropriate to use multiple regression if your data "passes" eight assumptions that are required for multiple regression to give you a valid result. In practice, checking for these eight assumptions just adds a little bit more time to your analysis, requiring you to click a few more buttons in SPSS when performing your analysis, as well as think a little bit more about your data, but it is not a difficult task.

Before we introduce you to these eight assumptions, do not be surprised if, when analysing your own data using SPSS, one or more of these assumptions is violated (i.e., not met). This is not uncommon when working with real-world data rather than textbook examples, which often only show you how to carry out multiple regression when everything goes well! However, don’t worry. Even when your data fails certain assumptions, there is often a solution to overcome this. First, let's take a look at these eight assumptions:

Assumption #1: Your dependent variable should be measured on a continuous scale (i.e., it is either an interval or ratio variable). Examples of variables that meet this criterion include revision time (measured in hours), intelligence (measured using IQ score), exam performance (measured from 0 to 100), weight (measured in kg), and so forth. If your dependent variable was measured on an ordinal scale, you will need to carry out ordinal regression rather than multiple regression. Examples of ordinal variables include Likert items (e.g., a 7-point scale from "strongly agree" through to "strongly disagree"), amongst other ways of ranking categories (e.g., a 3-point scale explaining how much a customer liked a product, ranging from "Not very much", to "It is OK", to "Yes, a lot").
Assumption #2: You have two or more independent variables, which can be either continuous (i.e., an interval or ratio variable) or categorical (i.e., an ordinal or nominal variable). For examples of continuous variables, see the bullet above. Examples of ordinal variables include Likert items (e.g., a 7-point scale from "strongly agree" through to "strongly disagree"), amongst other ways of ranking categories (e.g., a 3-point scale explaining how much a customer liked a product, ranging from "Not very much", to "It is OK", to "Yes, a lot"). Examples of nominal variables include gender (e.g., 2 groups: male and female), ethnicity (e.g., 3 groups: Caucasian, African American and Hispanic), physical activity level (e.g., 4 groups: sedentary, low, moderate and high), profession (e.g., 5 groups: surgeon, doctor, nurse, dentist, therapist), and so forth.
Assumption #3: You should have independence of observations (i.e., independence of residuals), which you can easily check using the Durbin-Watson statistic, which is a simple test to run using SPSS. We explain how to interpret the result of the Durbin-Watson statistic, as well as showing you the SPSS procedure required, in our enhanced multiple regression guide.
Assumption #4: There needs to be a linear relationship between (a) the dependent variable and each of your independent variables, and (b) the dependent variable and the independent variables collectively. Whilst there are a number of ways to check for these linear relationships, we suggest creating scatterplots and partial regression plots using SPSS, and then visually inspecting these scatterplots and partial regession plots to check for linearity. If the relationship displayed in your scatterplots and partial regression plots are not linear, you will have to either run a non-linear regression analysis or "transform" your data, which you can do using SPSS. In our enhanced multiple regression guide, we show you how to: (a) create scatterplots and partial regression plots to check for linearity when carrying out multiple regression using SPSS; (b) interpret different scatterplot and partial regression plot results; and (c) transform your data using SPSS if you do not have linear relationships between your variables.
Assumption #5: Your data needs to show homoscedasticity, which is where the variances along the line of best fit remain similar as you move along the line. We explain more about what this means and how to assess the homoscedasticity of your data in our enhanced multiple regression guide. When you analyse your own data, you will need to plot the studentized residuals against the unstandardized predicted values. In our enhanced multiple regression guide, we explain: (a) how to test for homoscedasticity using SPSS; (b) some of the things you will need to consider when interpreting your data; and (c) possible ways to continue with your analysis if your data fails to meet this assumption.
Assumption #6: Your data must not show multicollinearity, which occurs when you have two or more independent variables that are highly correlated with each other. This leads to problems with understanding which independent variable contributes to the variance explained in the dependent variable, as well as technical issues in calculating a multiple regression model.
Assumption #7: There should be no significant outliers, high leverage points or highly influential points. Outliers, leverage and influential points are different terms used to represent observations in your data set that are in some way unusual when you wish to perform a multiple regression analysis. These different classifications of unusual points reflect the different impact they have on the regression line. An observation can be classified as more than one type of usual point. However, all these points can have a very negative effect on the regression equation that is used to predict the value of the dependent variable based on the independent variables. This can change the output that SPSS produces and reduce the predictive accuracy of your results as well as the statistical significance. Fortunately, when using SPSS to run multiple regression on your data, you can detect possible outliers, high leverage points, and highly influential points. In our enhanced multiple regression guide, we: (1) show you how to detect outliers using "casewise diagnostics" and "studentized deleted residuals", which you can do using SPSS, and discuss some of the options you have in order to deal with outliers; (2) check for leverage points using SPSS, and discuss what you should do if you have any; and (3) check for influential points in SPSS using a measure of influence known as Cook's Distance, before presenting some practical approaches in SPSS to deal with any influential points you might have.
Assumption #8: Finally, you need to check that the residuals (errors) are approximately normally distributed (we explain these terms in our enhanced multiple regression guide). Two common methods to check this assumption include using: (a) a histogram (with a superimposed normal curve) and a Normal P-P Plot; or (b) a Normal Q-Q Plot of the studentized residuals. Again, in our enhanced multiple regression guide, we: (a) show you how to check this assumption using SPSS, whether you use a histogram (with superimposed normal curve) and Normal P-P Plot, or Normal Q-Q Plot; (b) explain how to interpret these diagrams; and (c) provide a possible solution if your data fails to meet this assumption.

You can check assumptions #3, #4, #5, #6, #7 and #8 using SPSS. Assumptions #1 and #2 should be checked first, before moving onto assumptions #3, #4, #5, #6, #7 and #8. We suggest testing these assumptions in this order because it represents an order where, if a violation to the assumption is not correctable, you will no longer be able to use multiple regression (although you may be able to run another statistical test on your data instead). Just remember that if you do not run the statistical tests on these assumptions correctly, the results you get when running multiple regression might not be valid.