fe5056qa-week-5-lecture_1720263863397.pptx

YoTu87 36 views 44 slides Jul 09, 2024
Slide 1
Slide 1 of 44
Slide 1
1
Slide 2
2
Slide 3
3
Slide 4
4
Slide 5
5
Slide 6
6
Slide 7
7
Slide 8
8
Slide 9
9
Slide 10
10
Slide 11
11
Slide 12
12
Slide 13
13
Slide 14
14
Slide 15
15
Slide 16
16
Slide 17
17
Slide 18
18
Slide 19
19
Slide 20
20
Slide 21
21
Slide 22
22
Slide 23
23
Slide 24
24
Slide 25
25
Slide 26
26
Slide 27
27
Slide 28
28
Slide 29
29
Slide 30
30
Slide 31
31
Slide 32
32
Slide 33
33
Slide 34
34
Slide 35
35
Slide 36
36
Slide 37
37
Slide 38
38
Slide 39
39
Slide 40
40
Slide 41
41
Slide 42
42
Slide 43
43
Slide 44
44

About This Presentation

NOTES


Slide Content

FE5056QA : Problem Solving: Methods and Analysis LECTURE FIVE Describing data types and data collection types Module Leader: Paul Bako Email: Paul [email protected]

Name of session This session will start at __:__ While you are waiting… Check your audio is working Plug in your speakers/ headphones before you start the session. If you cannot hear your tutor, leave the session and log back in again. If you still cannot hear, let your tutor know by writing them a message in the chat box. If you are still experiencing problems Try disconnecting and reconnecting your PC/laptop to the internet. Call 0345 074 7958 to speak to the QAHE Online Learning support team. You can also email the team on [email protected]

We are recording now!

Learning objectives Types of data: - primary / secondary 2. Data collection techniques: - observations / interviews / questionnaires

What are the two types of data that exist? Secondary data: data that were collected initially for some other purpose. Primary data: collecting new data specifically for the purpose

Secondary data: Types of Secondary Data Secondary data include both quantitative (numeric) and qualitative (non-numeric) data, • Used principally in both descriptive and explanatory research. • Maybe raw data where there has been little if any processing, or compiled data that have received some form of selection or summarising. • They may be structured data, that is organised into a format that is easy to process, such as in a database or spreadsheet; or unstructured data, which are not easy to search or process as, in their current form, they do not follow a predefined structure. • Multiple-source data sets: data that have been re-combined with other data to create larger datasets. • Within business and management research projects secondary data are used most frequently in case study and survey research strategies. However, there is no reason not to use secondary data in other research strategies, including archival, action and experimental research.

Examples of Secondary Data Most organisations collect and store a wide variety and large volume of data to support their day-today operations: • For example, payroll details, organisation charts, copies of letters, minutes of meetings and business transactions including sales queries and purchases, financials (annual reports). • Quality daily newspapers contain a wealth of data, such as reports about takeover bids, interviews with business leaders, photographs of events, graphs and listings of companies’ share prices. • Government departments undertake surveys and publish official statistics covering social, demographic and economic topics. Example: https://www.ons.gov.uk • Consumer research organisations collect data that are used subsequently by different clients. • Trade organisations collect data from their members on topics such as sales that are subsequently aggregated, presented and published.

Types and Examples of Secondary Data NB: Journal Papers are not an acceptable source of secondary data for dissertations

Selected Internet Secondary Data Gateways and Archives

Advantages and Disadvantages of Secondary Data

Evaluating Potential Secondary Data Sources

Primary Data Collection Techniques: (1) Observations Observation: The systematic viewing, recording, description, analysis and interpretation of people’s behaviour in a given setting. Observation methods • Participant observation: Qualitative: Discovering the meanings that people attach to their actions and social interactions. • Structured observation: Quantitative: Concerned with the frequency of actions (‘what’ rather than ‘why’). Its function is to tell you which things happen, how often and possibly when and in what sequence rather than why they happen. • Internet mediated observation: Involves the collection of data from online communities.

Dimensions of Observation Technique The structure and formality that the researcher uses in designing observation, ranging from unstructured and informal to structured and formal The role of the researcher during observation comprising: their participation in the observation setting, ranging from full participation in the activity or event being observed, through passive observation at the margin of this activity or event, to observation in a detached location as a non-participant Their decision to reveal they wish to observe the event or activity for a research purpose; or to conceal this from those being observed, involving ethical issues that focus on informed consent The nature of the observational setting, involving conducting observation in either a naturalistic setting or in a contrived situation

Classic Observation Roles

Aspects to Consider in Choosing an Observer Role

Types of Data Generated by Participant Observation

Advantages and Disadvantages of Participant Observation

Advantages of Structured Observation

Disadvantages of Structured Observation

Primary Data Collection Techniques: (2) Interviews A purposeful conversation between two or more people, during which the interviewer asks concise and unambiguous questions and listens attentively to the interviewee talking. • Such interviews rely on establishing some level of rapport between the interviewer and the interviewee. • By listening carefully to an interviewee, an interviewer will be able to explore points of interest, an

Interview Structures

Interview Structures Structured interviews or quantitative research interviews: Conducted using researcher-completed questionnaires. You read out each question from the questionnaire exactly as it is written and in the same tone of voice so that you do not indicate any bias. Then you record the response on a standardised schedule, usually with pre-coded answers. Semi-structured interviews or qualitative research interviews: You start with a predetermined list of themes, and possibly some key questions related to these themes, to guide the conduct of each interview. Unstructured or in-depth interviews: informal; They are used to explore in depth a general area in which you are interested. This means that they do not use predetermined and written down themes or questions to structure or guide the course of the interview. Instead, this type of interview is entirely exploratory and emergent. You will be interested to find out which themes emerge from the data you collect from your participants.

Number of Participants and Interview Modes

Group Interviews and Focus Groups Group interview is a general term to describe all semi-structured and in-depth interviews conducted with two or more interviewees. In Focus groups the topic to be explored is predetermined and precisely defined and the role of the researcher is to facilitate or enable discussion amongst participants. In this way, a focus group is a type of group interview, but not all group interviews should be labelled as focus groups.

Uses of Different Types of Interview for each Research Purpose

When to use Semi-Structured and In-Depth Interviews Research purpose is exploratory or explanatory. • Establishing personal contact is important. • Questions that need to be asked are: Complex Open-ended Large in number Likely to need to be varied in the order they are asked

Preparation for your Semi-Structured or In-Depth Interview What level of knowledge about your research topic / context will be required in order to demonstrate your competence and credibility to gain the confidence of your participants? What level of knowledge about the culture of your participants will be required in order to gain their confidence before they are willing to share data? What will be the broad focus of your in-depth interview, or what are the themes that you wish to explore or seek explanations for during a semi structured interview? What type of information, if any, will it be useful to send to each participant prior to the interview? What did you agree to supply to your participant when you arranged the interview? Has this been supplied? Have you considered the impact that your interview location may have on participants’ responses and for your own personal safety

Opening a Semi-Structured or In-Depth Interview The participant is thanked for considering the request for access and for agreeing to the meeting. • The purpose of the research and its progress to date were outlined briefly. • The previously agreed right to confidentiality and anonymity was reiterated • The participant’s right not to answer any question was emphasised and that the interview would be stopped if the participant wished. • The participant was told about the nature of the outputs to which the research was intended to lead and what would happen to the data collected during and after the project. • The offer to provide a summary of the research findings was also restated and the participant was told when this would happen. • The request to audio-record the interview was restated and, where agreed, this was used subsequently. • Summarisation of the themes to be covered, confirmation of the time available and request to read and sign the informed consent form.

Aspects to Consider when Conducting Semi-Structured and In-Depth Interviews appropriateness of your appearance at the interview nature of your comments to open the interview approach to questioning appropriate use of different types of questions nature and impact of your behaviour during the interview demonstration of attentive listening skills scope to summarise and test understanding dealing with difficult participation

Types of question Open questions Probing questions Specific questions Closed questions Follow-up questions Reflective questions Interpretation questions Extension questions

Difficulties with interview participants

Advantages and Disadvantages of Audio- Recording the Interview

Forms of Electronic Interview

Primary Data Collection Techniques: (3) Questionnaires All methods of data collection in which each person is asked to respond to the same set of questions in a predetermined order. Need to ensure that it will collect the precise data that you require to answer your research question(s) and achieve your objectives. Careful design of individual questions Clear and pleasing visual presentation Lucid explanation of the purpose Pilot testing Descriptive or explanatory research

Questionnaire Modes

Types of Data Available Factual or demographic: contain data that are readily available to the respondent and are likely, assuming the respondent is willing to disclose, to be accurate. These variables include characteristics such as age, gender, marital status, education, occupation and income. They are used to explore how attitudes and opinions, and behaviours and events, differ, as well as to check that the data collected are representative of the total population Attitudes and opinions: contain data that respondents may have needed to think about before answering. They are likely to be influenced by the context in which the question was asked; recording how respondents feel about something or what they think or believe is true or false. Behaviours and events: are also likely to be influenced by context. They contain data about what people did (behaviours) or what happened (events) in the past, is happening now, or will happen in the future

Data Requirements Table

Types of Closed Question list, where the respondent is offered a list of items, any of which may be selected category, where only one response can be selected from a given set of categories ranking, where the respondent is asked to place something in order rating, in which a rating device is used to record responses quantity, to which the response is a number giving the amount matrix, where responses to two or more questions can be recorded using the same grid creating a scale to measure constructs by combining rating questions

Category Question: Which of the following tourist sites did you visit whilst staying in Cusco?

Ranking Question

Response categories for different types of rating questions: Agreement

Matrix Question

Coding Questions

Questions?
Tags