HPS724 Applied Methodology for Organisational Analysis

Due: 8pm Wednesday, 24th August 2022

Task 1 Power Analysis
Write-up a power analysis in relation to your thesis. If the data is already collected, then you should use your sample size and estimate the power to detect various effect sizes of relevance. If the study is planned, then consider likely sample sizes and the implications this would have for power to detect relevant effect sizes.
Include screenshots of your power analysis. This would typically involve G*Power, but you can use other software if you wish (e.g., R, online power analysis tools, etc.).
If you have a qualitative project, then present arguments relevant to qualitative research for why your proposed sample size is appropriate (e.g., saturation).
If you don't have a project yet, then you can make one up (e.g., you're interested in how the Big 5 predicts safety behaviour at work).
When it comes to sample size, more is better. However, often there are trade-offs. For instance, it's harder to get big sample sizes when you have complex measurement, longer surveys, or more controlled samples. There are also often practical constraints about how and where you can collect data. Provide an explanation for your proposed sample size with reference to your power analysis, research questions, and other design trade-offs.
When writing up the power analysis, make sure that you provide a brief introduction (perhaps 3 or 4 sentences) that gives a basic introduction for your research (e.g., topic, aim, study design, and variables).
Task 2 Jamovi
Use Jamovi for this analysis.
You have been provided with some data that includes 24 hexaco personality facets, overall psychological well-being and 6 subscales of psychological well-being. You will need to score the 6 hexaco domains from the facets.
2.1 Conduct an EFA of the 24 hexaco facets extracting 6 factors using a correlated-rotation, including the scree plot. Include screenshots and interpret the results.
2.2 Present one or more analyses that show the correlations between hexaco personality and psychological well-being (Better answers will include subscales). Include screenshots and interpret the results.
Include as supplemental material: a pdf export of Jamovi results and the omv analysis file.
Task 3 R
Use R for this analysis.
Using the dataset from Task 2, load the data into R and prepare the data.
3.1 Run the EFA and correlation analyses mentioned under Task 2. Present screenshots; You don't need to interpret this.
3.2 Present analyses that examine gender differences in personality. Present screenshots and interpret.
Include as supplement: the analysis and data files used to produce the analyses. You may find it easiest to organise the analyses as an RMarkdown file.
Task 4 SPSS
Use SPSS for this analysis.
Using the dataset from Task 2, prepare the data file (e.g., add variable labels), score measures using syntax, etc..

4.1 Run the EFA and correlation analyses mentioned under Task 2. Present screenshots; You don't need to interpret this.
4.2 Perform a 1-factor EFA of hexaco facets and interpret. Save this factor (often called a general factor of personality or GFP) and correlate with psychological well-being, and interpret.
4.3 Perform a 5-factor EFA of hexaco facets and interpret. Does it align with the Big five?

Include as supplement: the syntax, output, and SPSS data files used to produce the analyses.
Task 5 Reflection
Provide a critical discussion of the following topics (approximately 700 to 1,000 words):

5.1 What are the general pros and cons of R, SPSS, and Jamovi?
5.2 What software do you think you will use for your thesis and why? If you're not doing a quantitative thesis, then think about the next data analysis task that you might perform (e.g., imagine you've been asked to do some analyses of an employee opinion survey [factor analysis, correlations, regressions, descriptive statistics, etc.])?
5.3 To what extent could Jamovi replace SPSS/Amos for work in organisational psychology?
5.4 What are the benefits of R compared to SPSS for data analysis work in organisational psychology?