# data[].attributes.body
1-

The use of measurable variables.

Standardized research instruments.

Random sampling of participants.

Data presentation in tables, graphs, or figures.

The use of a repeatable method.

2-

Fast, focused, scientific and relatable.

3-

Quantitative techniques can lead to misleading results, not least if you use them incorrectly.

They are not good at capturing feelings.

They can be open to misrepresentation or misinterpretation.

They may require a certain skill set or level of numeracy if they are to be drawn on effectively and accurately.

4-

Focus groups.

Unstructured or semi-structured diaries.

Observation field notes/technical fieldwork notes.

Case study notes.

5-

Captures New Beliefs - Qualitative research methods extrapolate any evolving beliefs within a market.

Fewer Limitations - Qualitative studies are less stringent than quantitative ones.

More Versatile - Qualitative research is much easier at times for researchers.

6-

Quantitative techniques can lead to misleading results, not least if you use them incorrectly.

They are not good at capturing feelings.

They can be open to misrepresentation or misinterpretation.

# data[].attributes.body
Razwan Miah

1 - use of large sample size,

# data[].attributes.body
1 -CLEARLY DEFINED RESEARCH QUESTIONS.

STRUCTURED RESEARCH INSTRUMENTS.

NUMERICAL DATA.

LARGE SAMPLE SIZES.

REPLICATION.

FUTURE OUTCOMES.

2- Larger sample sizes

Impartiality and accuracy

Faster and easier

Data is anonymous

Offers reliable and continuous information

3-Limited by the set answers on a survey.

Research is not carried out in their normal environment.

Unable to follow-up any answers given.

4 - Natural environment (natural setting).

Researcher as a key instrument (researcher as key instrument).

Multiple sources of data.

Inductive data analysis.

The meaning of the participants (participant's.

5 -Explores attitudes and behaviour in-depth.

Encourages discussion.

Flexibility.

6 -The sample size can be an issue.

Bias in the sample selection.

Lack of privacy.

Whether you are using a skilled moderator or not.

# data[].attributes.body
1. Use of measurable data

Objective and unbiased

2. It is designed to be objective and unbiased, reducing the influence of researcher's own opinions

It produces precise and accurate measurements of variables.

3. Limited ability to capture complex and nuanced phenomena.

There is a potential for distortion and streamlining.

4. Subjectivity and reflexivity

It Focus on context and meaning

5. It allows for a deep and nuanced understanding of complex phenomena that may not be easily captured by quantitative methods.

It can generate grounded theories and insights that are rooted in the data.

6. They are often difficult to generalize to a larger population beyond the sample studied.

It is subjective, meaning the biases and assumptions of the researcher can influence the interpretation of the data.

# data[].attributes.body
1) It focuses on the numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning.

2) Fast, focused, scientific, and relatable.

3) Is an incredibly precise tool in the way that it gathers cold hard figures.

4) To assure reliability, Using structural research methodologies

5) One of the drawbacks is that it makes you get a less detailed picture.

# data[].attributes.body
1. It emphasises numerical data analysis. It use numbers as is basis for making generalisations about a phenomenon.

2. Subject material can be evaluated with more details. Gathered data has predictive quality to it

3. Data analysis can be time consuming. Data may not be accepted by the audience.

4. Flexibility. Subjectivity.

5. Data will be difficult to quantify and the data may not be reliable.

# data[].attributes.body
Quantative research: Use data and large sample

Cost effective, reliable and accessible

Conversely it's prone to errors and could have backslash on ethical values (biases)

Qualitative research: Require the researcher to have a distinct skill sets.

Indepth revelation of the research explaining beyond just numbers or data and flexibility enabling the researcher to adapt new strategy of collecting information.

Contraily, Information could be bais and asking the right question could be difficult.

# data[].attributes.headline
  Natalie Q1 Can be counted and measured 

# data[].attributes.subject
  Natalie Q1 Can be counted and measured 

# data[].attributes.body
Q2 you are getting concrete results and no bias

Q3 can be open to misinterpretation

Q4 is more about the meaning of the concept and is non numerical

Q5 more deatailed

Q6 can be difficult to validate and inconsistent

# data[].attributes.body
More Time and expensive and time consuming

Small numbers.

# data[].attributes.body
Large samples provides more statisticaly desicion making substance

# data[].attributes.body
Enables flexible discourse provides face to face non verbal indicators

# data[].attributes.body
Use data

Can predict outcomes

Use measuring devices

2

Is concerned with fact & verifiable information

Can be done anonymously

3

Limited to number and figures

Testing model are more difficult to create

# data[].attributes.body
Large sample size

The ability to use larger sample sizes is undoubtedly one of the biggest perks of quantitative research.

Measurability

Close-ended questions

# data[].attributes.body
1. Quantitative

# data[].attributes.body
1.looking for and magnet glasses

2.looking for data that can help to give a meaning for some things ,or looking for data that help to evaluate things that are analysed !

# data[].attributes.body
My favourite was Bussiness plan and Analysis i have huge management expérience in future i am looking for to establish my own Busssiness or work on higher position in multinational companies

# data[].attributes.body
when i think of research it i imagine textbooks

research is gathering facts and combining the information and evaluating the data and placing it in the correct topic of information

# data[].attributes.body
1. When I hear the word research I think about introduction, literature review, how to gather and analyse the data, evaluating, and conclusions.

2. Research is defined as the creation of new knowledge and/or the use of existing knowledge in a new and creative way so as to generate new concepts, methodologies and understandings.

# data[].attributes.body
the Cambridge Dictionary defines research as a careful examination or investigation to discover facts, principles, meanings, etc., or to create a new understanding of a subject, typically through a systematic process involving collecting, analyzing, and interpreting data.

# data[].attributes.body
Looking for something, finding out information.

To find information on a particular subject, item, or place.

# data[].attributes.body
Research image is the internet

Research is gathering specific Data that you need

# data[].attributes.body
My favourite module since the beginning of this course is the Project management and my goal is to setup a self business for money making which will help me to assist the needful

# data[].attributes.body
My favourite module has been project management, the reason I chose business is to get a good understanding of basic concepts economic principles and how markets are affected by world events and how to access a firms financial health, I also want to set up my own business in the near future.

My career goal is to set up my own business and employ loads of people, this degree will help me to plan and prepare for this goal.

# data[].attributes.body
I would be very glad to move on with this module,it will help me to boost my professional career.

# data[].attributes.body
Welcome to new module

# data[].attributes.body
2. Project management

3. To achieve a degree that will help me to develop skills for projects management.

4. Project manager

# data[].attributes.body
My goal is to see my self a well established Entrepreneur who own a large company (LTD)

# data[].attributes.body
Business finance and economics

I want to achieve more knowledge in business because I want to be good in practice

I want to open my own business

# data[].attributes.body
1. Rukeme Loromeke

2. My favourite module so far has been Business Finance and Economics

3. Am interested in business because I am actually looking forward to gaining more knowledge and business skills.

4. My career goal is to go into business to become the best entrepreneur in Manchester.

# data[].attributes.body
my favourite module has been marketing in a digital world and i am interested in business as i was to own my own florist and hopefully expand and become a wedding planner and inspire my children to follow my success and have a business of their own

# data[].attributes.body
My favourite project so far has been marketing

I am interested in setting my own retail business

My career goal is to be successful

# data[].attributes.body
I WANT TO FINISH THIS LEVEL!!!

Marketing

Opening up my own business

To live a successful life

# data[].attributes.body
Marketing

I am self-employed.

Stay longterm in business for successful businesman

# data[].attributes.body
My plan after completion of this programme is to become a business consultant at inter-governmental level

# data[].attributes.body
Welcome to our new module level5