MBA Research Project [MGTM05] class [topup59/60/Full PF13], April-Sept 2024

Please remind your students to spend few minutes in your sessions to fill in the evaluation in order to meet the minimum expected response rate of 60%.

Thanks for your help in advance.

****

About student survey:

"Dear colleagues,

You should now have your mid-point evaluation survey conducted by students of your teaching module(s). As mentioned in the email earlier, you can check the mid-point evaluation from Qualtrics. For accessing to Qualtrics – please click here.

You will be able to view the below screen after you login to Qualtrics.

....

Please remind your students to spend few minutes in your sessions to fill in the evaluation if you find the number of responses is still not up to the minimum expected response rate of 60%. Our team will keep monitoring the response rate and send e-mail to individual module lecturers about their modules’ response rate."

(online + on-campus) session 5

June 5, 2024 (Wed): 19:00-22:00

Teaching plan for June 5: 3 hours:

Learning objectives (LOs)

LO1: To examine two research methods topics: research philosophies, inductive and deductive reasoning, and the research method of focus group

LO2: To explain the dissertation report structure for the consulting-oriented dissertation project type

Lecture activities

1. Mainly lecturing on the topics, i.e. LOs 1-2, as identified in the learning objective list above

2. Class discussion on the lecture topics of LOs 1-2

3. Questions and answers on students’ concerns on research methods topics and dissertation proposal formulation

** introduce the onion model of research methods (video resources). [a related video on the onion model]

** Will introduce the outermost layer of the onion model: on research philosophies and the next level on the inductive and the deductive approaches.

** on the first layer of the onion model and its relatedness to the ALRA practice.

** also study the blog note on scientific progress, knowledge accumulation and research gap analysis.

Skills to do literature review - continued.

* Exploratory interview in the project orientation phase.

* Converting factual statements into management concerns items (zone 1).

* reviewing dissertation samples

* a note about case study research and autobiography research.

* dissertation sample in Google Drive.

***

(online + on-campus) session 6

June 12, 2024 (Wed): 19:00-22:00

On research approaches: inductive and deductive approaches. [Layer 2 of the onion model].

*** the teaching plan on research approaches.

On quantitative and qualitative research

Topic 1: Quantitative research

1.1. Characteristics of quantitative research

1.2. Quantitative data collection

1.3 Quantitative data analysis

Topic 2: Qualitative research

2.1 Characteristics of qualitative research

2.2 Qualitative data collection

2.3. Qualitative data analysis

Topic 3: Quantitative vs qualitative research (and data)

3.1. Quantitative vs qualitative data (video)

3.2 Quantitative Research vs Qualitative Research (video 1)

3.3 Quantitative vs qualitative research (video 2)

3.4 Quantitative vs qualitative research (video 3)

3.5 Empirical studies: qualitative vs quantitative (video 4)

3.6 How to measure the quality of quantitative and qualitative research?

Further e-resource on qualitative and quantitative research.

On qualitative research and quantitative research

In case there is still time available for teaching, I will show the following two videos on the following two topics:

1. On primary research (e-resources)

2. On secondary research (e-resources).

Mainly review this one in class: the video.

** Time to do a revision on mono, multi and mixed method research design (video).

(online + on-campus) session 7

June 24, 2024 (Monday): 19:00-22:00

On the onion model of research: layer 3 (research strategies): part 1

Topic 1: case study

1.1. case study: definition.

1.2 case study: illustration of the steps involved.

1.3. design a case study protocol.

Topic 2: grounded theory

2.1 introduction.

2.2 versions of grounded theory.

2.3. coding in grounded theory.

Topic 3: action research

3.1 history of action research.

3.2 research design: action research.

3.3. an example of an action research.

Topic 4: ethnography

4.1.: what is ethnography?

4.2.: understanding ethnography.

4.3.: ethnography and participant observation.

4.4.: participant observation.

Revision materials on research ethics:

Note the updated ethical form link.

A revision of an ethics form lecture note. Also note the following info:

[submission date: probably from

3 weeks after proposal submission to the date of

sending the first dissertation draft to supervisor for review].

(online + on-campus) session 8

July 8, 2024 (Monday): 19:00-21:30

On the onion model of research: layer 3 (research strategies): part 2

Topic 5: survey research

5.1.: survey research.

5.2.: survey, questionnaire and test.

5.3.: analysing questionnaires.

5.4. on non-probability sampling.

Topic 6: experiment/ quasi-experiment

6.1. true experiments.

6.2a. types of experiments

6.2b.: experimental studies and other related ones.

On the onion model of research (layer 4 : time horizons):

Topic 1: longitudinal

Topic 1.1: what are longitudinal studies.

Topic 2: cross-sectional

Topic 2.1.: what is cross-sectional data?

Topic 2.2.: analytic cross-sectional study design (an illustration).

Topic 2.3a.: stratified vs cluster sampling.

Topic 2.3b.: types of sampling techniques. (more detailed)

Topic 3: cross-sectional study vs longitudinal studies.

Topic 3.1.: cross-sectional study vs longitudinal studies.

Topic 3.2.: time series vs cross-sectional data.

** also to mention the blog notes on using ChatGPT for research purpose.

Online session 9

July 15, 2024 (Monday): 19:00-22:00

For reference, the two synopsis samples are as follows:

1. For academic-oriented project type.

2. For consulting-oriented project type.

Specific research methods to introduce:

Topic 1. Focus group
Topic 1.1.: Focus group (already presented).
Topic: 1.2.: Interview and focus group

Topic 2. Interview research

Topic 2.1.: Interview research.

Topic 2.2.: What is an interview.

Topic 2.3.: Types of interviews.

Topic 2.4.: Visions on interviewing.

Topic 2.5. a blog note on using ChatGPT to offer a detailed research interview plan.

Topic 3: observational research.

Topic 3.1a.: observations.

Topic 3.1b.: observational research.

Topic 3.2.: observational focus.

Topic 3.3.: observational checklists. [only the first half of the video].

Topic 3.4.: asking ChatGPT to produce a research plan for observation research. [a blog note].

Topic 4: document analysis

Topic 4.1.: how to do document analysis (video).

Topic 4.2.: a blog note of asking ChatGPT for information on document analysis.

Topic 4.3.: an article (pdf) on document analysis.

If time allows, I will finish the lecture topic of quantitative and qualitative research, with the following subtopics:

1.3 Quantitative data analysis (mainly to study this one in the lecture)

2.3. Qualitative data analysis

Basic topics on quantitative research

I. Basic descriptive statistics

Topic 1.1.: how to calculate standard deviation and variance. (recommendation: do the revision yourself)

Topic 1.2.: measures of variability.

II. On the normal distribution curve and the central limit theorem

Topic 2,1.: the normal distribution.

Topic 2.2.: on density curves.

Topic 2.3.: the central limit theorem.

(online + on-campus) session 10

Aug. 5, 2024 (Monday): 19:00-22:00

III. On hypothesis testing

Topic 3.1.: what is a hypothesis test.

Topic 3.2.: what is a p-value.

Topic 3.3. confidence level and significance level

** The confidence level is the probability of the test being right.

The significance level is the probability of there being a mistake in the test, or the test being wrong.

Topic 3.4.: null & alternative hypotheses.

Topic 3.5.: one-tailed vs two-tailed tests (video); (brief note).

On Excel functions for quantitative research: demo. and explanation of the underlying concepts

On specific quantitative research skills with MS Excel - Part 1:

Topic 1.1: Pivot table analysis (a video for revision purpose).

Topic 1.2.: an article about using the Excel pivot table for research purpose (pdf).

(online + on-campus) session 11

Aug. 19, 2024 (Monday): 19:00-22:00

* e-resources on research gap (videos)

Present a demo on the Excel pivot table function with test data.

2. Multiple regression analysis

Topic 2.1.: operationalization and measurement.

Topic 2.2.: independent and dependent variables.

Topic 2.3a.: mediation vs moderation.

Topic 2.3b.: types of variables.

Topic 2.4.: the basic idea of correlation.

Topic 2.5.: understanding correlation.

Topic 2.6.: on linear regression analysis.

Topic 2.7.: calculating r and r2.

*** to be continued in the next lecture.

** * study materials on the agile literature review approach (academic-oriented project type).

Notice

"Dear Colleagues,

Please be informed the Mid-Point Survey is now published for those in October 2024 submission. Please kindly encourage students to fill in the Survey during your session(s).

Online session 12

Sept 2, 2024 (Monday): 19:00-21:30

1) Research methods skills

Refining proposal ideas with the agile literature review approach: class discussion

Topic 2.8.: on multiple linear regression - part 1.

Topic 2.9.: on multiple linear regression - part 2.

Present a demo on the Excel regression function with test data.

Topic 2.10.: Excel regression analysis (video).

Topic 2.11.: on interpreting the Excel regression report (online info).

On specific quantitative research skills with MS Excel - Part 2:

3. ANOVA

Topic 3.1.: Excel one-way ANOVA analysis (video).