CQUniversity Unit Profile.

Task Description

You will be given a transcript taken from an interview. The transcript has been thematically analysed by psychology staff. You will see their notes, their coding, and the themes that they have developed from the transcript.

 

Your task is to present a poster that shows off those themes in a way that provides a useful and novel way of thinking about the topic that was discussed in the interview (i.e., your task is not to analyse or interpret the meaning of the data or results).

 

You will then write a short commentary on how your representation of the data (the themes) differs from the most common ways of representing quantitative data in a figure.

 

Level of GenAI use allowed
Level 3: You may use Al to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any Al-generated content you use.

 

*** PLEASE NOTE: You must pass this assessment to pass the unit.***

*** A minimum mark of 15 out of a total 30 possible marks on this assessment is required to pass the unit. ***

 

MARKS

This task assesses your ability to represent qualitative data and communicate how it differs from quantitative research. You will be given an interview transcript that has already undergone thematic analysis, including coded data and identified themes. Your role is to create a non-linear visual poster that meaningfully maps these themes, showing how they connect to form a conceptual understanding of the topic. You will also provide a brief commentary comparing qualitative and quantitative approaches, particularly in how their findings are presented.

Assessment 1 will each be graded out of 100, then converted to a mark out of 30.

Marks will be allocated according to the following criteria:

1. Visualisation of qualitative analysis [20 marks]: Produces a non-linear thematic map that effectively captures the meaning, relationships, and interpretive depth of qualitative research through appropriate imagery and structure.
2. Comparison of qualitative and quantitative research [40 marks]: Provides a clear written summary outlining key differences, between qualitative and qualitative research.
3. Contextual reflection [40 marks]: Reflects on the creation of the visualisation to show your understanding of how qualitative representation differs from quantitative approaches, particularly in terms of interpretation, complexity, and non-linear thinking.

 

WORD LIMIT

Your submission should be no more than 300 words (exclusive of any words contained in your illustration/graphic/figure but inclusive of any text used in your headings). Any words over that limit will not be read or assessed by your marker. See the Psychology Word Count Information on Moodle for a rationale for this type of word limit restriction.

 

USE OF GENERATIVE AI

For this assessment, you may elect to use Generative AI to help you:

• Understand the different ways the concepts are discussed, as well as finding and understanding background literature and resources related to Big Q qualitative analysis, and the differences between Big Q qualitative methods and quantitative methods.
• Create individual images that you can use to represent themes in your thematic map.
• Check the grammar, punctuation, and syntax of your written work.
• Enhance the vocabulary of your writing and submitted assessment.
• Manage the word count of the assessment.

 

You are not permitted to use Generative AI technology to:

• Generate your final thematic map.
• Generate the final text for the written component.

There are two elements of your submission: 1. A non-linear thematic map (an illustration/figure/graphic), and 2. A 300-word written summary of how your map has used a different approach to presenting data than is commonly used in quantitative research. Both elements should be incorporated into a single MS Word document. Your illustration/figure/graphic can be created using the SMARTART Graphics tool in MS Word. You can also use any alternative third-party graphics software but you should be aware that the university may not support that software in terms of providing you with technical assistance for its use. Alternatively, you can draw your diagram by hand and paste a photo of it into your Word document.

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Task Description

Qualitative data is often used to guide the development of quantitative research questionnaires. For instance, the generalisability of themes identified from qualitative interviews with a few individuals can be tested using quantitative tools that survey a larger proportion of the population.

 

For this task, you will be provided with an interview transcript and a research question. You are required to read the transcript and familiarise yourself with the extracted themes, then develop content that is suitable for quantitative data collection. You will also demonstrate your ability to reflect upon the development process and the efficacy of your constructed survey items. 

 

Accordingly, your submission will include the following components:

1.  The construction of a main survey item that could be used to quantitatively measure participants’ experiences of a transcript theme. The item should be informed by design principles, relevant to the target audience, and comprised of appropriately aligned instructions, question, and response options. 
2.  A reflection that provides insight into: a) The factors you took into consideration when designing the main survey item and why this item is likely to be effective in measuring the construct of interest, b) contextual factors that may impact responses to the main survey item, and an example of a suitable follow-up survey item that may be used to provide such context, reduce misinterpretation, and/or improve the understanding of your main survey item.

 

Level of GenAI use allowed
Level 3: You may use Al to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any Al-generated content you use.

Assessment 2 will be graded out of 100, then converted to a mark out of 10.

Marks for this assessment will be allocated according to the following criteria:

1. Creation of a survey item that could be used to measure a relevant construct from the provided transcript. [10 marks]
2. The main survey item that is created is clear, in a format that produces easily quantifiable responses, and provides appropriate numerical information that could be entered into a statistical software package. [10 marks]
3. The instructions, question wording, and response options of the main survey item are seamlessly aligned. [10 marks]
4. The language used for the survey items are very clear, appropriate for the target audience, and neutral (i.e., not leading). [10 marks]
5. Construction of a main survey item that is applicable to the entire segment of the target population, including people who have diverse, valenced experiences and those who are unsure or have no/mixed experience/s of the construct being measured. [15 marks]
6. Provision of a written reflection that provides a detailed, yet concise, critical, and insightful rationale that describes the design principles that were considered when constructing the main survey item and the features that make it consummate for measuring the construct of interest among the target audience (e.g., language used, the number and nature of response options, etc.). [20 marks]
7. Suggestions about how responses to the main survey item may be impacted by one or more contextual factors, and the provision of an effective illustrative example of a follow-up item that could be used to provide such context. [25 marks]

 

A detailed marking rubric, that breaks down of the requirements and marks allocated to each component of the assessment, is available on the 'Assessment 2' tab of the Moodle page for the unit.

 

WORD LIMIT 

400 words for the reflection component.

 

USE OF GENERATIVE AI

For this assessment, you may elect to use Generative AI to help you:

• Understand the concepts discussed, as well as finding and understanding background literature and resources related to the topic.
• Brainstorm ideas for your responses.
• Develop the structure of your responses.
• Check the grammar, punctuation, and syntax of your written work.
• Enhance the vocabulary of your writing and submitted assessment.
• Manage the word count of the assessment.

 

You are not permitted to use Generative AI technology to:

• Generate your final responses.
• Paraphrase the responses of other students.

Please complete your assessment using a document processer (e.g., MS Word) then upload your submission in .doc or .docx format to Moodle.

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Task Description

You will be provided with a dataset that contains survey data collected from first-year psychology students.

The aim of this assessment is to provide you with an opportunity to work with real-life data and an understanding of how statistical analysis are performed and presented.

You will be required to complete three separate Calculation Portfolio tasks, each worth 20% of your final grade. 

For each of the three Calculation Portfolio tasks that comprise this assessment, you will select two variables from the survey dataset that are suitable for performing one of the statistical calculation options for that task:

• Calculation Portfolio Task #1 will require you to choose to perform either a chi-square test or correlation test.
• Calculation Portfolio Task #2 will require you to choose to perform either an unrelated samples t-test or related samples t-test.
• Calculation Portfolio Task #3 will require you to choose to perform either a regression analysis or one-way independent groups ANOVA test.

In each submission, you will: 

• describe the nature of your variables,
• create a hypothesis for your analysis, 
• correctly import the data from Excel to a statistical analysis computer program (such as Jamovi or similar software),
• perform appropriate assumptions testing and statistical analyses with computer software (and provide evidence of this with screenshots of your output),
• write-up your results in Americal Psychological Association (APA) style,
• provide new data for the selected variables (e.g., your own data) and compare these to the findings of your group analysis, and
• provide suggestions for how findings of the analysis could be extended, or the study design improved, in future research. 

 

WORD LIMIT

The word limit for each Calculation Portfolio Task is 1000 words, not including the information in your Appendix. 

 

Level of GenAI use allowed

Level 2: You may use AI for planning, idea development and research. Your final submission should show how you have developed and refined these ideas.

 

*** PLEASE NOTE: You must pass this assessment to pass the unit. *** 

*** A minimum mark of 30 out of a total 60 possible marks, across all calculation portfolio tasks, is required to pass the unit. ***

 

MARKS

Each Calculation Portfolio Task will each be graded out of 100, then converted to a mark out of 20.

Marks will be allocated, according to the following criteria:

1. Formulation of a clear and scientifically-meaningful hypothesis and selection of variables from the dataset that are relevant to the statistical test. [15 marks]
2. Conduct of assumption testing and calculation of descriptive and inferential statistics. [10 marks]
3.  Provision of an appendix that includes a screenshot of the computer software output of your statistical analysis for the group data [25 marks]
4. Statistical results interpreted correctly and reported in APA format. [10 marks]
5. Comment on how one's own individual data compare and contrast to group-level statistical data. [20 marks]
6. Suggest how findings could be extended, or the study design improved, in future research. [20 marks]

Please see example dataset and submissions under the 'Assessment 3' tab of the Moodle page for the unit for further details on what kind of answers are expected on these tasks.

 

A detailed marking rubric, that breaks down of the requirements and marks allocated to each component of the computer tasks, is available on the 'Assessment 3' tab of the Moodle page for the unit.

 

WORD LIMIT

The word limit for each Calculation Portfolio Task is 1000 words, not including the information in your Appendix. 

 

USE OF GENERATIVE AI

For this assessment, you may elect to use Generative AI to help you:

• Understand the concepts discussed, as well as finding and understanding background literature and resources related to the topic.
• Develop the structure of your responses.
• Check the grammar, punctuation, and syntax of your written work.
• Manage the word count of your submission.
• Get guidance on paraphrasing your work.

 

You are not permitted to use Generative AI technology to:

·       Perform calculations and report the results of these in your submitted work.

·        Double-check the answers of your calculations.

Please complete your Calculation Portfolio tasks using a document processer (e.g., MS Word or similar) then upload your submission to Moodle in .doc or .docx format.

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