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Exploration Methods Correlations

ANALYSIS METHODS FOR

POSTGRADUATE STUDY

NV4602

Data Research: Exploring

Associations

Ethical Make use of Data

Detailed Statistics

Last session assessment

Descriptive Figures

" The sample contained 300 company

employees (52% male, 48% female),

starting in age group from 21 to 52 years (mean

= 3 decades, standard deviation = a few

years). ”

(H. M., 2013, l. 24)

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Descriptive Stats

" The sample contains 300 firm

employees (52% male, 48% female),

ranging in era from 21 years old to 52 years (mean

= 30 years, standard change = 5

years). ”

 What is the difference among population

and sample?

 What is a ‘good' sample?

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Descriptive Stats

" The sample contained 300 organization

employees (52% male, 48% female),

ranging in age group from twenty-one to 52 years (mean

= 3 decades, standard deviation = five

years). ”

 Spot the specific variable!

 What descriptive statistics did HL conduct

for it?

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navitas. com

Descriptive Figures

" The sample consisted of 300 company

employees (52% male, 48% female),

ranging in grow older from 21 years old to 52 years (mean

= 3 decades, standard change = five

years). ”

 Location the constant variable!

 What descriptive statistics did HL perform

for it?

lbic. navitas. com

navitas. com

Descriptive Figures

 HL's data in age are typically distributed.

"... (mean = 30 years, standard deviation sama dengan 5

years)... ”

 What is age range of 68% of

employees?

 If a participant can be

50 hey, how many SDs

away from mean

is he/she?

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navitas. com

Quantitative Study: the process up to now

1 .

installment payments on your

3.

5.

5.

six.

7.

almost 8.

Research Topic/Research Questions

Quantitative Research Design

Run Test or Survey

Collect Quantitative Data

Set up your SPSS file

Get into data

Explore data using descriptive stats

Now you can evaluate your data!





Execute statistical studies to explore human relationships

Conduct statistical analyses to compare groups

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NV4602 Research Methods

for Postgraduate Study

Data Analysis: Discovering

Relationships

Ethical Use of Data

Aims pertaining to today

 Understand what statistical tests will be

and why use them

 Choose the right test out for the information

 Identify the basic steps

 Examine interactions

 Compute Pearson's l on SPSS

 Understand the function of integrity in exploration

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Study questions

 Researchers often want to know if you have a significant relationship between two variables

 Is there a relationship between waiting around time and customer satisfaction?

 Do they offer a relationship between TV advertisings and volume of sales?  Is there a romantic relationship between employees' levels of tension and customer defection?

 Does sexuality predict early on technology re-homing?

 Or if there is an improvement between more than one

scores/conditions/groups

 Is item A more eye-catching than product B?

 Does employed in pairs improve performance?

 Does working from home decrease output?

 Gets the new making process increased productivity? lbic. navitas. com

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 Does gender impact the frequency and size of on the net purchases?

Record tests: For what reason we need these people?

 Truly does marital position

affect your life satisfaction?

 ‘In a scale from 1 to 8, how happy

are you together with your life? '

 Great! I found a positive change!!

 How confident are you? Is it an

accident (due to chance)?

 We should have a statistical test out!

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Selecting the best test

 If you search any preliminary statistics text message book you'll find a overwelming array of several statistical assessments

 Each has

 a specific purpose (i. elizabeth. exploring relationships, comparing groups)

 Particular data requirements (categorical, ordinal or

constant data, regular distribution)

 SPSS makes it simple to run most of the well known tests

 Nevertheless , it is important to...

03.09.2019

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