please follow the template and checklist file for calculation. data collection should be done from excel file for 60 companies only. you can see this question in excel file i.e,2017 CC1.1. Where is the highest level of direct responsibility for climate change within your organization? when you click on this you can see 0.1.2.3 for this you need to put carbon disclosure of 2015 for each 20 company in column for 0,1,2,3 by putting company name . data collection should be done on the basis of countries and industries and need to calculate frequency distribution that is mean, median , mode , variance, standard deviation, interquartile range, skewness and kurtosis. for detail clarification look carefully template and checklist file which i have done upload.
MGT723 Task 2 Progress Report Marking Rubric The breakdown of the marks and task plan is as follows: · Data Collection: /30 Accurate and complete · Data Analysis: Clearly presented, appropriate, descriptive statistics for the data. /45 · Proposed Data Analysis: Appropriate inferential statistics identified to test your hypothesis. /20 · Spelling, Grammar and Referencing: Flawless spelling and grammar /5 Unsatisfactory Satisfactory Excellent Literature Summary Provide your one-page literature summary model from Task 1. It will not be assessed again. You are free to change it if you wish. Conceptual Model Provide your one-page conceptual model from Task 1. It will not be assessed again. You are free to change it if you wish. Hypotheses Provide your hypotheses although not assessed Data Collection Missing, incomplete, or incorrect data input 0-14 Some errors in data input 15-22 Data is collected and correctly input into the spreadsheet 23-30 Data Analysis (descriptive) Missing, incomplete, or inappropriate data analysis 0-17 Some errors in data analysis 18-34 Insightful, clearly presented, data analysis 35-45 Proposed Data Analysis Missing or incorrect 0-8 Some appropriate inferential statistical analysis proposed 9-14 Inferential statistical analysis proposed that is appropriate for testing the hypotheses 15-20 Spelling and Grammar Many mistakes, difficult to understand 0-1 Few mistakes, easy to understand 2-3 No mistakes, clear and convincing expression 4-5 MGT723 Research Project Semester X 2XXX Assessment Task 2: Data Collection Student Name: Title: Submission Date: Acknowledgement: I certify that I have carefully reviewed the university’s academic misconduct policy. I understand that the source of ideas must be referenced and that quotation marks and a reference are required when directly quoting anyone else’s words. Introduction: (Not assessed) What is your research problem? Literature Review – Summary (Not Assessed) Provide your summary (maximum 1 page) of the theoretical argument leading to the conceptual model with theoretical constructs clearly identified. Conceptual Model: (Not Assessed) Provide a diagram to show the relationships between the key theoretical constructs. Hypotheses: (Not assessed) Indicate your hypotheses – they will be assessed in your Assessment Task 1 for ACC620. Data Collection (Assessed) Complete the spreadsheet and submit it separately. Data Analysis - Descriptive: (Assessed) Provide a descriptive analysis of the relevant data from the CDP dataset provided. Maximum of five pages. Data Analysis - Inferential: (Assessed) Describe the inferential statistics that you plan to use to test your hypotheses. 2 | Page MGT723 Task 2 Checklist Consider the following before submission: Described your sample Described how you arrived at the firms that remain in your sample Described the characteristics of your sample: countries and/or industries represented by the sample. Considered the implications for the generalisability of your results. Your data: Deleted the columns for the variables that you are not interested in Collected data on your additional variable, i.e., added another column of data Coded qualitative (string variables) that you want to analyse in SPSS Considered how you will deal with missing data or #N/A cells (if you have any) Checked the data for any anomalies, potentially corrupt data SPSS Opened your file in SPSS Checked that the variables have the correct measurement level (Nominal, Ordinal, Scale) Labelled the variables that you have coded Dealt with missing values Described your Independent Variable and Dependent Variable: Frequencies or descriptive statistics Normality (if scale level measure) Graph Comment on any significant issues Described the Independent Variable in terms of the Dependent Variable Graph Looked for outliers and considered how to deal with them (if scale level data) Considered the appropriate statistical test based on the level of measurement of your IV and DV and the distribution of your IV and DV (if scale level measurement).