In this section we explore the concept of correlation (especially using Pearson’s correlation coefficient) and how to perform one and two sample hypothesis testing, especially to determine whether the correlation between populations is zero (in which case the populations are independent) or equal. We briefly explore alternative measures of correlation, namely Spearman’s rho and Kendall’s tau, as well as the relationship between the t-test and chi-square test for independence and the correlation between dichotomous variables.

Topics:

- Basic Concepts
- Scatter Diagrams
- One Sample Hypothesis Testing
- Two Sample Hypothesis Testing
- Multiple Correlation
- Spearman’s Rank Correlation
- Kendall’s Tau Correlation
- Relationship with t-test
- Relationship with Chi-square Test for Independence
- Resampling for Correlation Testing
- Real Statistics Correlation Data Analysis Tool

Hello, I have a problem. I need to validate my 12 item questionnaire with a 7 point likert scale against a 19 item questionnaire with a 6 point liket scale. I know how to run a correlations test between similar scales but not when one is 7 points and the other a 6 point likert scale. How would I do this on SPSS please? Many thanks.

Sorry, but I don’t use SPSS. This website is about statistical analysis using Excel. In any case you can use the correlation coefficient even if the scales are different.

Charles

I have a problem, in my analysis correlation is positive but in t-test null hypothesis is accepted. Have any problem about that….please answer me….

Ashad,

There is no problem if the correlation is positive. The important thing is that this value be statistically equal to zero (which is what the t test is designed to test). If the positive value is relatively small, then there shouldn’t be a problem. Just because the null hypothesis is that the population correlation is zero doesn’t mean that the sample correlation will be exactly zero.

Charles

I was used my thesis sample linear regression but unfortunate the models of the question Y= ax+ b plz help me if you have any idea?

Sorry, but I don’t understand your question.

Charles

Hello Sir,

I would appreciate for your help.

My problem is that I would like to test the relationship between the ordinal (5 point Likert scale – Strongly agree, agree, neutral, disagree and strongly disagree) and dichotomous (Yes/No question), is it appropriate to use Spearman’s rho test? If not, which test would you suggest?

The hypotheses is finding out whether consumers’ attitude towards have positive relationship with their purchase intention.

Thank you.

Rosa,

If I understand what you are trying to do correctly, you can use a correlation test (Pearson’s or Spearman’s) or an equivalent t test (or Mann-Whitney test). This is explained on the webpage Correlation in relationship to t test.

Hi sir,

Pls Help me, im using likert scale, and i have 3 variable (2 independent, and 1 dependent). this 2 independent has 9 question each, and 1 dependent has 5 question, with 5 point likert scale. how can i do correlation analysis between them ? if independent max score is 9 Question * 5 =45 and dependent max score = 5 question* 5 = 25, did i need to make those variable have same big score ? like : max score div max dependent = 45/25 = 1.8, so all total score for dependent must multiply by 1.8 for each respondent ?

Thank you

On what basis have you decided which variables are dependent and which are independent? Why do you want to do correlation analysis?

Charles

base on model that has been using on many research. correlation analysis used to see if theres a correlation between them and whether the independent variables affect the dependent variable. also i want to know how big in percent was the affect

I am not 100% sure I understand the question, but assuming that you use the total score for the 9 questions for each independent variable and the total score for the 5 questions for the dependent variable (or average score), you can use the multiple correlation coefficient (calculated as described on the Multiple Correlation webpage). Alternatively you can perform a multiple linear regression (see Multiple Regression). You can use R^2 as the effect size.

Charles

Thank you sir for your help. im new at statistics, so your answere very help me alot, btw sir my i ask 1 more things, what is relation between demographics and regression analysis, what i know demographics used to map respondent, was this map should be used to populate and calculate all matters and put it in regression analysis ? etc i want to make prediction from sample (using questioner) with independent is user satisfaction and dependent is user impact using services. i map demographic all respondent base on age, and my question is should i use that demographics (which mean sorted base on age) and calculate for each variable and do analysis ?

I don’t completely understand your question “…should i use that demographics (which mean sorted base on age) and calculate for each variable and do analysis ?” But you can certainly perform regression using demographic data plus the other types of data that you have listed.

Charles

i used likert type scale

hello,

pls help me what statistical test i must use if i want to know the profile of my respondents then if i want to know if there is a significant relationship

You might use the correlation coefficient, but you need to describe what you are trying to accomplish in more detail.

Charles

Hi sir,

I would like to know what type of tests (e.g. anova, t-test) will be suitable for the questionnaire.I want to compare both Qn 1 and Qn 2 with a suitable test. What test should I use? Qn1) If the product weights between 500g to 1 kg, would you accept the weight range for this product? Data collected using likert scale: Likely 4 male, 1 female. Neutral 25 male, 7 female. Unlikely 7 male, 4 female. Mostly unlikely 2 male.

Qn2) Would you accept the weight of the product if its is above 1 kg? Likely 3 male. Neutral 23 male, 6 female. Unlikely 9 male, 8 female. Most unlikely 3 male.

Thank you for your help

Sorry John, but I don’t understand description you have given nor what you are trying to test.

Charles

Hello Sir,

I am glad I find this blog.

I want to analyze questionnaire data about students attitude for a study. I distributed to 50 students questionnaire that consists of 20 questions which then are grouped into 5 categories (variables). The overall cronbach alpha reliability is 0.87. But when analyzed per group, cronbach alpha for variable 1, 2, 3, 4, 5 are 0.61, 0.70, 0.65, 0.81, 0.80 respectively. If I delete two out of 6 questions in variable 1, cronbach alpha becomes 0.73. However, cronbach alpha is not increased if any one of 3 questions in variable 3 is deleted. I have several questions below:

1. how to calculate inter-correlation among items in the questionnaire, so that I have excuse to still use variable 3

2. how to know if the data is normally distributed? should i do it for each question item, or for each student, or for all data? How?

3. if I want to see relationship between variables, do I have to calculate the average score of all questions in the variable so the result becomes score of the variable for each student?

Thank you so much for your help.

1. I am not sure why you want to do this, but in any case you can look at the Intraclass Correlation webpage to find out how to do this.

2. The webpage Testing for Normality and Symmetry provides a variety of methods for testing whether a data set is normally distributed. You should test the specific data sets for normality based on the requirements of the analysis tool that you are planning to use. Some tests don’t require normality at all.

3. It really depends on what you want to do with this information.

Charles

Thank you for replying my question.

Actually I want to study students’ attitude towards e-learning. And honestly I do not know if it has normality test requirement.

I distribute 5-point Likert type scale questionnaire containing 20 questions. Then I categorize these questions into 5 variables. Variable 1 (design of website) contains 6 questions, variable 2 (efficacy to use e-learning) contains 3 questions,variable 3 (enjoyment using e-learning) contains 3 questions, Variable 4 (usefulness of e-learning) contains 6 questions, and variable 5 (intention to use e-learning) contains 2 questions.

I want to calculate correlation between variable 2 and variable 5, variable 3 and variable 5, variable 4 and variable 5.

Because each variable has more than one question and thus more than one response, should I calculate the average response of all questions in each variable, so the result becomes the value for corresponding variable? In order to get use the formula for Pearson product-moment correlation, r?

Many thanks.

dear sir… greetings

please i need your help on how to conduct correlation analysis in excel. i have rainfall and water flow data i need to know if there is any relationship between rainfall and water flow.

Many thanks

Just use the CORREL(R1, R2) where R1 contains the rainfall data elements and R2 contains the corresponding water flow data elements. You can also do hypothesis testing as described on the website.

Charles

hello charles,

I introduced a new chart for the nurses to use/practice documentation. After introduction i distributed questionnaire with likert scale type to find out if the new chart was useful and easy to use with few more questions like if it was evidence based practice, also included a question if it added to the burden of nursing documentation etc. it is more like an audit. it was introduced in two different wards where a mixture different years of experienced nurses work. now what type of data analysis should i use please suggest something that i can use with excel spread sheet please. really confused.

it would be great help. thank you.

Anita,

The data analysis tool to use depends on what you are trying to demonstrate, e.g. what hypothesis are you trying to prove or disprove.

E.g. suppose you want to test whether the responses to the question “is the new chart easy to use” is different for nurses with more than 5 years of experience from those with less than 5 years of experience, then a t test with two independent samples might be the right analysis.

You need to first decide what you want to analyze. Then you can determine which is the best test to use.

Charles

Hi,

SA means strongly Agree, A means agree, U stands for undecided, D means disagree and SD means strongly disagree. The numbers in the brackets represents the proportion of the sample population with same response choice. Like I wrote earlier the questionnaire had 25 questions in total and was administered to 165 people.

Many thanks.

Sorry, but you haven’t really provided enough information for me to give you a definitive answer answer. How many responses in each of the Likert scales doesn’t really help. It looks like you want to perform a correlation test. Why?

Charles

Many thanks for your reply, OHSMS means Occupational health and Safety Management System, I got my data from questionnaires (containing 4 sections with 25 questions in total) administered to a sample size of 165 . Like I mentioned earlier, I used a Likert scale structure and have summed my responses from each questions to have sets of data in this format SA(69), A(46), U(6),D(16), SD(3). I don’t want to rely only on median and inter quantile analysis.

What do SA(69), A(46), U(6), D(16), SD(3) represent?

Charles

Sir,

I would appreciate your help, am carrying out a research on impact of effective OHSMS on work performance. Can I do a correlation analysis on the following data I got from my questionnaire(I used Likert scale) SA(69), A(46), U(6),D(16), SD(3).

Sorry, but I don’t know what OHSMS stands for and you haven’t provided enough detail for me to answer your question.

Charles

Hi charles,

Just wanna ask u wht method should i use if my research is about determining the awareness of eclampsia among women Age 21 to 45?

Jamie,

You need to to supply more information before I am able to answer your question. In particular, what are you trying to demonstrate?

Charles

Sir, How to compute correlation of gender to level of awarenes (poor, average and good). Do I need to assign female as 1 and male as 2? I have 100 respondents and 86 answered the gender profile and 4 respondents leave it blank.

Ezin,

Yes, you could code female as 1 and male as 2.

Charles

hello…i want to ask a specific method for my case…my objective is to assess relationship between socio demographic of visitors and attitude of visitors…the attitude for visitors used likert scale which from 1 to 5…(1.strongly agree …….5. strongly disagree.) but i do not know how to used my data to do the test…whether i would use correlation or other method…tq

It really depends on what you mean by “assess relationship”. It sounds like you want the correlation coefficient as described on the referenced webpage.

Charles

Pls i have a problem on split half test reliability, i don’t know how to compute for the “r” in the formula. 2r/1+r

r is the correlation coefficient between the data in the two halves. Once you split the data in half (into ranges R1 and R2) you can use Excel’s CORREL(R1, R2) function to calculate r. See webpage Split Half Methodology for more details.

Charles

Sir pls which method of analysis and statistical tool will i use to analyze “relationship between parental variables and academic achievement of secondary schools”.

Sorry but I would need more information to answer your question.

Charles

Hello Charles,

I’m having a problem analyzing my data. We polled 5 experts and asked them to rank 6 tests for 82 scenarios. They were asked to rank the tests in order of how likely they were to use that test given a particular scenario. My issue is that one expert gave one test the same rank across all scenarios. When using the correlation function from Excel’s data analysis package, this “constant” gives a #DIV/0! error. I’m trying to see how the experts overall responses correlate. Do they agree for the most part? Is there a different statistical test I can use to find my answer? My statistics skills are not very strong and I’m becoming lost in the details. Any help is greatly appreciated.

Thank you,

Danielle

Danielle,

Yes, the correlation coefficient will be undefined if all the elements in one data set are the same. Generally you can use measures such as Cohen’d kappa, but this too will give disappointing results (or zero no matter what elements are in the other data set).

Charles

Charles,

I appreciate your quick reply. Do you have a recommendation for analyzing the data in another manner? Or will the results always be disappointing because all of the elements in one array are the same?

Thank you,

Danielle

Danielle,

I don’t have another recommendation for you. I would guess that all the results will be disappointing because all the elements in one sample are the same.

Charles

Hello,

I really hope you can help me solve this problem,

I have calculate the correlation of return between 10 sectors in stocks using excel.

As the results, the correlation between Manufacturing and Miscellaneous sector is around 87%. I want to create a range of correlation between 75%-95% and see how it affect the sectors’ mean and standard deviation. Can I use data table for that? Can you explain how to create the data table?

Please help me.

Thank You

Hi Natalie,

I need more information before I can answer your question.

Charles

Hi! I really need your help.

I want to know the appropriate statistical analysis used to test my hypotheses.

Here are my hypotheses:

Ho1: There is no significant relationship (independent) between business profile of the SMEs, to the level of awareness on climate change and related business risks.

Ha1: There is a significant relationship (dependent) business profile of the SMEs, and the level of awareness on climate change and related business risks.

Ho2: There is no significant relationship (independent) between the level of awareness on climate change and the related business risk, and the adaptive measures employed by the SMEs.

Ha2: There is a significant relationship (dependent) between the level of awareness on climate change and the related business risk, and the adaptive measures employed by the SMEs.

The content of my questionnaire

I. Business profiles composed of:

Type of Ownership: Sole Proprietorship, Partnership, Corporation

Number of Years operating: 0-10 years, 11-20 years, 21-30 years, 30 years above

Number of employees: 0-10 employees, 11- 50 employees, 51- 250 employees

Initial Capitalization: 0-3,000,000, 3,000,001-15,000,000, 15,000,001-100,000,000

II. Level of Awareness about Climate Change

10 questions answerable by Aware (Rating scale: 1) and Unaware (Rating scale:0)

III.Level of Awareness about Business Risk associated with Climate Change

A total of 21 questions (7 risk: financial, logistics, legal and regulatory, market, people, operational and physical….3 questions each risk)

And still answerable by Aware (Rating scale: 1) and Unaware (Rating scale:0)

IV. Adaptive measure

A total of 21 statements—>adaptive measures (7 aspects: financial, logistics, legal and regulatory, market, people, operational and physical….3 statements each aspect)

Answerable by Adapted (Rating scale: 1) and Not Adapted (Rating scale:0)

Please help me. Thank you.

Based on a very quick and preliminary review of what you wrote, my first thought is to use Manova. The business profile is the independent variable and Level of awareness and business risk are the dependent variables.

Charles

Thank you, Sir.

hello sir,

i really hope u will help me with this problem

i have 19 questions that use likert scale 1-4 (1 never, 2 rarely, 3sometime,4 always)

between this 19 questions i only choose 6 questions that i can say positive (e.g question 1: do you use seat belt?) to indicate positive practice in driving so do the rest of the question. Moreover this questionnaire doesn’t have total score.

so now, how can i analyze this data?

my research question is

1) there is significant different between good practice and gender

2) there is significant different between good practice and year of driving(1: 1-2 years, 2: 3-4 years, 3: 5-6 years, 4: 7 years above)

Farah,

For the first research question, I understand that you want to determine whether there is a significant difference between the good practice scores for males and females. The typical test used in this case is two sample t test for independence or the Mann-Whitney test if the data is not normally distributed. See the webpages http://www.real-statistics.com/students-t-distribution/two-sample-t-test-equal-variances/, http://www.real-statistics.com/students-t-distribution/two-sample-t-test-uequal-variances/ and http://www.real-statistics.com/non-parametric-tests/mann-whitney-test/.

This test can also be accomplished using the correlation coefficient as described in the webpage http://www.real-statistics.com/correlation/dichotomous-variables-t-test/

For the second question you could use one-way ANOVA or chi-square testing of independence. See the webpage http://www.real-statistics.com/chi-square-and-f-distributions/independence-testing/ for information about independence testing.

This test can also be accomplished using the correlation coefficient as described in the webpage http://www.real-statistics.com/correlation/dichotomous-variables-chi-square-independence-testing/.

Charles

Thank you very much…

You help me alot…:)