Professor Rebekah Russell-Bennett, Queensland University of Technology, presented this workshop on How to Reverse-engineer a Journal Article Research on 14th April 2014 at the Whitaker Institute, NUI Galway.
Estimation is the process of using sample data to draw inferences about the population. A point estimate provides a single value, while an interval estimate provides a range of values expressing uncertainty. Good estimates are unbiased, meaning the expected value equals the true value, and precise, meaning the estimate is close to the true value across samples. The 95% confidence interval for a mean is calculated as the sample mean plus or minus 1.96 standard deviations, providing a 95% probability the interval contains the true mean. Similar principles apply to estimating proportions, differences between means/proportions, and small samples which use the t-distribution instead of the normal.
Factor analysis is used to describe the relationship between many variables in terms of a few underlying factors. It involves 3 stages: 1) generating a correlation matrix, 2) extracting factors from this matrix using principal component analysis, and 3) rotating factors using varimax rotation. The output includes communalities, a scree plot, factor matrices, and a component plot. The rotated factor matrix shows two factors: Factor 1 loads on variables related to community, nature, and tolerance, while Factor 2 loads on variables related to loyalty and dependability to close others. Equations are presented relating the original variables to these two factors.
This document discusses different methods for cross-classifying and summarizing relationships between variables, including nominal by nominal, ordinal by ordinal, and adding additional layers. Key points covered include using chi-square tests to determine if differences are due to chance, symmetric measures like phi and cramer's v to quantify relationship strength, and directional measures for nominal and ordinal variables to analyze concordance and discordance. Examples are provided using SPSS output to demonstrate interpreting these various cross-classification techniques.
This document discusses various types of index numbers used to measure changes in economic variables over time. It defines an index number as a quantitative measure of the growth of prices, production, or other quantities of economic interest from one period to another. The document then describes different characteristics, uses, problems, classifications, and methods for constructing index numbers, including simple aggregative methods, weighted aggregative methods like Laspeyres and Paasche, and chain index numbers. It provides examples to illustrate how to calculate different index numbers.
The document provides an overview of time series forecasting using ARIMA (Autoregressive Integrated Moving Average) models. It defines the ARIMA model parameters - autoregressive (p), differencing (d), and moving average (q) - and explains how they are used to forecast future values based on past observations. Examples are given to demonstrate identifying the p, d, q values and fitting the ARIMA model to sample time series data. Limitations and use cases for ARIMA forecasting in business are also discussed.
Precautions in writing Research Report- RM.pptxnikitagoel52
This document provides guidance on writing a research report. It notes that a research report should be a systematic, accurate presentation of research in written form. When writing a research report, authors should consider the length, maintain reader interest, avoid jargon, clearly present findings through charts and graphs, ensure proper formatting and structure, and include elements like an introduction, bibliography, and index. The conclusion states that good report writing is an art learned through practice and experience.
Capital budgeting is the process of evaluating potential major projects or investments. There are traditional and discounted cash flow methods used for capital budgeting. Traditional methods include payback period and accounting rate of return. Discounted cash flow methods include net present value, profitability index, and internal rate of return. Net present value is considered the best method as it takes into account the time value of money by discounting future cash flows. A project is accepted if it has a positive net present value or a profitability index greater than one.
This document provides an introduction to project management techniques PERT and CPM. It defines key concepts like activities, events, nodes, dummy activities and paths in a network diagram. It explains the stages of project management including planning, appraisal, implementation and review/control. The document outlines the steps to determine critical path in CPM and describes crashing a project to reduce duration. It compares PERT and CPM, noting PERT uses 3 time estimates and is probabilistic while CPM uses one estimate and focuses on tradeoffs between time and cost.
Estimation is the process of using sample data to draw inferences about the population. A point estimate provides a single value, while an interval estimate provides a range of values expressing uncertainty. Good estimates are unbiased, meaning the expected value equals the true value, and precise, meaning the estimate is close to the true value across samples. The 95% confidence interval for a mean is calculated as the sample mean plus or minus 1.96 standard deviations, providing a 95% probability the interval contains the true mean. Similar principles apply to estimating proportions, differences between means/proportions, and small samples which use the t-distribution instead of the normal.
Factor analysis is used to describe the relationship between many variables in terms of a few underlying factors. It involves 3 stages: 1) generating a correlation matrix, 2) extracting factors from this matrix using principal component analysis, and 3) rotating factors using varimax rotation. The output includes communalities, a scree plot, factor matrices, and a component plot. The rotated factor matrix shows two factors: Factor 1 loads on variables related to community, nature, and tolerance, while Factor 2 loads on variables related to loyalty and dependability to close others. Equations are presented relating the original variables to these two factors.
This document discusses different methods for cross-classifying and summarizing relationships between variables, including nominal by nominal, ordinal by ordinal, and adding additional layers. Key points covered include using chi-square tests to determine if differences are due to chance, symmetric measures like phi and cramer's v to quantify relationship strength, and directional measures for nominal and ordinal variables to analyze concordance and discordance. Examples are provided using SPSS output to demonstrate interpreting these various cross-classification techniques.
This document discusses various types of index numbers used to measure changes in economic variables over time. It defines an index number as a quantitative measure of the growth of prices, production, or other quantities of economic interest from one period to another. The document then describes different characteristics, uses, problems, classifications, and methods for constructing index numbers, including simple aggregative methods, weighted aggregative methods like Laspeyres and Paasche, and chain index numbers. It provides examples to illustrate how to calculate different index numbers.
The document provides an overview of time series forecasting using ARIMA (Autoregressive Integrated Moving Average) models. It defines the ARIMA model parameters - autoregressive (p), differencing (d), and moving average (q) - and explains how they are used to forecast future values based on past observations. Examples are given to demonstrate identifying the p, d, q values and fitting the ARIMA model to sample time series data. Limitations and use cases for ARIMA forecasting in business are also discussed.
Precautions in writing Research Report- RM.pptxnikitagoel52
This document provides guidance on writing a research report. It notes that a research report should be a systematic, accurate presentation of research in written form. When writing a research report, authors should consider the length, maintain reader interest, avoid jargon, clearly present findings through charts and graphs, ensure proper formatting and structure, and include elements like an introduction, bibliography, and index. The conclusion states that good report writing is an art learned through practice and experience.
Capital budgeting is the process of evaluating potential major projects or investments. There are traditional and discounted cash flow methods used for capital budgeting. Traditional methods include payback period and accounting rate of return. Discounted cash flow methods include net present value, profitability index, and internal rate of return. Net present value is considered the best method as it takes into account the time value of money by discounting future cash flows. A project is accepted if it has a positive net present value or a profitability index greater than one.
This document provides an introduction to project management techniques PERT and CPM. It defines key concepts like activities, events, nodes, dummy activities and paths in a network diagram. It explains the stages of project management including planning, appraisal, implementation and review/control. The document outlines the steps to determine critical path in CPM and describes crashing a project to reduce duration. It compares PERT and CPM, noting PERT uses 3 time estimates and is probabilistic while CPM uses one estimate and focuses on tradeoffs between time and cost.
Business forecasting and timeseries analysis phpapp02MD ASADUZZAMAN
This document discusses time series analysis and forecasting. It defines forecasting as making predictions about the future based on past data and trends. Business forecasting estimates future sales, expenses, and profits. Time series analysis establishes relationships between variables over time. Key components of time series that influence trends include seasonal, cyclical, secular, and irregular variations. Common forecasting methods mentioned are regression analysis, exponential smoothing, and time series analysis. Measurement of trends can be done using techniques like least squares, moving averages, and semi-averages.
Multiple discriminant analysis (MDA) is used to classify cases into groups when there are more than two categories. MDA derives multiple discriminant functions to discriminate between groups, with the first function accounting for the most variation between groups. The number of functions derived is usually equal to the number of groups minus one or the number of predictor variables, whichever is smaller. MDA outputs include standardized discriminant function coefficients, structure correlations, group centroids, and a classification matrix assessing prediction accuracy.
Research design provides a framework for conducting marketing research projects by detailing the necessary procedures to obtain needed information. There are two main types of research design: exploratory and conclusive. Exploratory research formulates problems, identifies actions, develops hypotheses, and isolates key variables through methods like expert surveys, pilot surveys, and case studies. Conclusive research has clearly defined information needs, is formal/structured, uses large samples, and applies quantitative analysis and findings to decision making. Descriptive and causal research are also discussed.
This document discusses sampling and sample size determination. It defines key terms like population, population element, census, and provides reasons for using a sample such as cost, speed, accuracy, and avoiding destruction of test units. It outlines the steps in sampling which include defining the target population, selecting a sampling frame, choosing between probability or non-probability sampling, determining the sampling unit, and addressing sources of error. It then discusses different probability and non-probability sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, convenience sampling, judgment sampling, quota sampling, and snowball sampling. Factors to consider when determining sample size are discussed such as population variance or heterogeneity, acceptable error or confidence interval, confidence level.
This document provides an overview of regression analysis, including:
- Regression analysis is used to study the relationship between variables and predict one variable from another. It can be linear or non-linear.
- Simple regression involves one independent and one dependent variable, while multiple regression involves two or more independent variables.
- The method of least squares is used to determine the regression equation that best fits the data by minimizing the sum of the squared residuals.
Measure of dispersion part I (Range, Quartile Deviation, Interquartile devi...Shakehand with Life
This tutorial gives the detailed explanation of "Measure of Dispersion" (Range, Quartile Deviation, Interquartile Range, Mean Deviation) with suitable illustrative example with MS Excel Commands of calculation in excel.
CPM and PERT are both scheduling methods that use a common approach to design networks and determine critical paths. PERT focuses on time estimation with uncertainty, using three time estimates per activity, while CPM uses a single estimate and prioritizes time-cost tradeoffs. The key differences between CPM and PERT are that PERT is probabilistic and event-oriented, allows for uncertain durations, and does not allow crashing, while CPM is deterministic, activity-oriented, has known durations, and allows crashing to reduce time.
This document discusses statistical inference, which involves drawing conclusions about an unknown population based on a sample. There are two main types of statistical inference: parameter estimation and hypothesis testing. Parameter estimation involves obtaining numerical values of population parameters from a sample, like estimating the percentage of people aware of a product. Hypothesis testing involves making judgments about assumptions regarding population parameters based on sample data. The document also discusses point estimation, interval estimation, standard error, and provides examples of calculating confidence intervals.
This article provides basics of the statistical techniques of Sampling and Sampling Distribution. Useful for students and scholars involved the research work in the field of humanities.
This document discusses criteria for good scaling in measurement. It defines key concepts like measurement, constructs, scales, and the primary scales of measurement - nominal, ordinal, interval, and ratio scales. It explains the meaning and purpose of scaling and scales. It also discusses criteria for good measurement like unidimensionality, validity, reliability, practicality, and sensitivity. It emphasizes that for a scale to be valid, it must also be reliable, so reliability is a necessary but insufficient condition for validity.
Data Science - Part IV - Regression Analysis & ANOVADerek Kane
This lecture provides an overview of linear regression analysis, interaction terms, ANOVA, optimization, log-level, and log-log transformations. The first practical example centers around the Boston housing market where the second example dives into business applications of regression analysis in a supermarket retailer.
The document compares the Net Present Value (NPV) and Internal Rate of Return (IRR) methods of evaluating investment projects. While NPV and IRR usually lead to the same decisions for independent projects, they can provide conflicting rankings for mutually exclusive projects. The key differences are that NPV is expressed in absolute terms and considers variations in cash flow timing, while IRR is a percentage rate and does not follow the value additivity principle. The document recommends using NPV over IRR for mutually exclusive projects due to its more realistic assumptions and ability to directly measure profitability and impact on shareholder wealth.
This document provides information on probability distributions, including discrete and binomial distributions. It discusses the assumptions and characteristics of binomial distributions, using examples to show how they work. It also covers the Poisson distribution, its assumptions and function, and gives an example of calculating probabilities using the Poisson. The document ends with questions for practice with binomial and Poisson distributions.
The project management triangle model contends that the quality of a project is constrained by its budget, deadlines, and scope. Changes to one constraint require adjustments to the others to maintain quality. For example, a project can be completed faster by increasing budget or reducing scope, but reducing budget without adjusting the other factors could lower quality. While the triangle is used to analyze projects, it is an insufficient model for defining success as it ignores important dimensions like stakeholder impact, learning, and user satisfaction.
This document discusses various methods for generating business ideas, including focus groups, brainstorming, problem inventory analysis, observation, research and development, emerging trends, and creative problem solving techniques. It provides details on each method, such as how focus groups and brainstorming sessions are conducted and how problem inventory analysis, observation, and emerging trends can help identify new business opportunities. It also outlines specific creative problem solving techniques like reverse brainstorming, the Gordon method, free association, morphological analysis, pocket note-booking, attribute listing, and parameter analysis.
Parametric vs Nonparametric Tests: When to use whichGönenç Dalgıç
There are several statistical tests which can be categorized as parametric and nonparametric. This presentation will help the readers to identify which type of tests can be appropriate regarding particular data features.
This document provides an introduction to hypothesis testing. It discusses key concepts such as the null and alternative hypotheses, types of errors, levels of significance, test statistics, p-values, and decision rules. Examples are provided to demonstrate how to state hypotheses, identify the type of test, find critical values and rejection regions, calculate test statistics and p-values, and make decisions to reject or fail to reject the null hypothesis based on these concepts. The steps outlined include stating the hypotheses, specifying the significance level, determining the test statistic and sampling distribution, finding the p-value or using rejection regions to make a decision, and interpreting what the decision means for the original claim.
2016.02.25 from constitutionalized environmental rights to contested sustaina...NUI Galway
Dr Su-Ming Khoo, Political Science & Sociology presented this seminar entitled From Constitutionalized Environmental Rights to Contested Sustainable Development and Beyond as part of the 2016 Whitaker Ideas Forum series of seminars representing the Environment, Development, and Sustainability Research Cluster on 25th February 2016.
Business forecasting and timeseries analysis phpapp02MD ASADUZZAMAN
This document discusses time series analysis and forecasting. It defines forecasting as making predictions about the future based on past data and trends. Business forecasting estimates future sales, expenses, and profits. Time series analysis establishes relationships between variables over time. Key components of time series that influence trends include seasonal, cyclical, secular, and irregular variations. Common forecasting methods mentioned are regression analysis, exponential smoothing, and time series analysis. Measurement of trends can be done using techniques like least squares, moving averages, and semi-averages.
Multiple discriminant analysis (MDA) is used to classify cases into groups when there are more than two categories. MDA derives multiple discriminant functions to discriminate between groups, with the first function accounting for the most variation between groups. The number of functions derived is usually equal to the number of groups minus one or the number of predictor variables, whichever is smaller. MDA outputs include standardized discriminant function coefficients, structure correlations, group centroids, and a classification matrix assessing prediction accuracy.
Research design provides a framework for conducting marketing research projects by detailing the necessary procedures to obtain needed information. There are two main types of research design: exploratory and conclusive. Exploratory research formulates problems, identifies actions, develops hypotheses, and isolates key variables through methods like expert surveys, pilot surveys, and case studies. Conclusive research has clearly defined information needs, is formal/structured, uses large samples, and applies quantitative analysis and findings to decision making. Descriptive and causal research are also discussed.
This document discusses sampling and sample size determination. It defines key terms like population, population element, census, and provides reasons for using a sample such as cost, speed, accuracy, and avoiding destruction of test units. It outlines the steps in sampling which include defining the target population, selecting a sampling frame, choosing between probability or non-probability sampling, determining the sampling unit, and addressing sources of error. It then discusses different probability and non-probability sampling methods like simple random sampling, systematic sampling, stratified sampling, cluster sampling, convenience sampling, judgment sampling, quota sampling, and snowball sampling. Factors to consider when determining sample size are discussed such as population variance or heterogeneity, acceptable error or confidence interval, confidence level.
This document provides an overview of regression analysis, including:
- Regression analysis is used to study the relationship between variables and predict one variable from another. It can be linear or non-linear.
- Simple regression involves one independent and one dependent variable, while multiple regression involves two or more independent variables.
- The method of least squares is used to determine the regression equation that best fits the data by minimizing the sum of the squared residuals.
Measure of dispersion part I (Range, Quartile Deviation, Interquartile devi...Shakehand with Life
This tutorial gives the detailed explanation of "Measure of Dispersion" (Range, Quartile Deviation, Interquartile Range, Mean Deviation) with suitable illustrative example with MS Excel Commands of calculation in excel.
CPM and PERT are both scheduling methods that use a common approach to design networks and determine critical paths. PERT focuses on time estimation with uncertainty, using three time estimates per activity, while CPM uses a single estimate and prioritizes time-cost tradeoffs. The key differences between CPM and PERT are that PERT is probabilistic and event-oriented, allows for uncertain durations, and does not allow crashing, while CPM is deterministic, activity-oriented, has known durations, and allows crashing to reduce time.
This document discusses statistical inference, which involves drawing conclusions about an unknown population based on a sample. There are two main types of statistical inference: parameter estimation and hypothesis testing. Parameter estimation involves obtaining numerical values of population parameters from a sample, like estimating the percentage of people aware of a product. Hypothesis testing involves making judgments about assumptions regarding population parameters based on sample data. The document also discusses point estimation, interval estimation, standard error, and provides examples of calculating confidence intervals.
This article provides basics of the statistical techniques of Sampling and Sampling Distribution. Useful for students and scholars involved the research work in the field of humanities.
This document discusses criteria for good scaling in measurement. It defines key concepts like measurement, constructs, scales, and the primary scales of measurement - nominal, ordinal, interval, and ratio scales. It explains the meaning and purpose of scaling and scales. It also discusses criteria for good measurement like unidimensionality, validity, reliability, practicality, and sensitivity. It emphasizes that for a scale to be valid, it must also be reliable, so reliability is a necessary but insufficient condition for validity.
Data Science - Part IV - Regression Analysis & ANOVADerek Kane
This lecture provides an overview of linear regression analysis, interaction terms, ANOVA, optimization, log-level, and log-log transformations. The first practical example centers around the Boston housing market where the second example dives into business applications of regression analysis in a supermarket retailer.
The document compares the Net Present Value (NPV) and Internal Rate of Return (IRR) methods of evaluating investment projects. While NPV and IRR usually lead to the same decisions for independent projects, they can provide conflicting rankings for mutually exclusive projects. The key differences are that NPV is expressed in absolute terms and considers variations in cash flow timing, while IRR is a percentage rate and does not follow the value additivity principle. The document recommends using NPV over IRR for mutually exclusive projects due to its more realistic assumptions and ability to directly measure profitability and impact on shareholder wealth.
This document provides information on probability distributions, including discrete and binomial distributions. It discusses the assumptions and characteristics of binomial distributions, using examples to show how they work. It also covers the Poisson distribution, its assumptions and function, and gives an example of calculating probabilities using the Poisson. The document ends with questions for practice with binomial and Poisson distributions.
The project management triangle model contends that the quality of a project is constrained by its budget, deadlines, and scope. Changes to one constraint require adjustments to the others to maintain quality. For example, a project can be completed faster by increasing budget or reducing scope, but reducing budget without adjusting the other factors could lower quality. While the triangle is used to analyze projects, it is an insufficient model for defining success as it ignores important dimensions like stakeholder impact, learning, and user satisfaction.
This document discusses various methods for generating business ideas, including focus groups, brainstorming, problem inventory analysis, observation, research and development, emerging trends, and creative problem solving techniques. It provides details on each method, such as how focus groups and brainstorming sessions are conducted and how problem inventory analysis, observation, and emerging trends can help identify new business opportunities. It also outlines specific creative problem solving techniques like reverse brainstorming, the Gordon method, free association, morphological analysis, pocket note-booking, attribute listing, and parameter analysis.
Parametric vs Nonparametric Tests: When to use whichGönenç Dalgıç
There are several statistical tests which can be categorized as parametric and nonparametric. This presentation will help the readers to identify which type of tests can be appropriate regarding particular data features.
This document provides an introduction to hypothesis testing. It discusses key concepts such as the null and alternative hypotheses, types of errors, levels of significance, test statistics, p-values, and decision rules. Examples are provided to demonstrate how to state hypotheses, identify the type of test, find critical values and rejection regions, calculate test statistics and p-values, and make decisions to reject or fail to reject the null hypothesis based on these concepts. The steps outlined include stating the hypotheses, specifying the significance level, determining the test statistic and sampling distribution, finding the p-value or using rejection regions to make a decision, and interpreting what the decision means for the original claim.
2016.02.25 from constitutionalized environmental rights to contested sustaina...NUI Galway
Dr Su-Ming Khoo, Political Science & Sociology presented this seminar entitled From Constitutionalized Environmental Rights to Contested Sustainable Development and Beyond as part of the 2016 Whitaker Ideas Forum series of seminars representing the Environment, Development, and Sustainability Research Cluster on 25th February 2016.
2016.12.07 how to reverse engineer a journal articleNUI Galway
Professor Rebekah Russell-Bennett, Queensland University of Technology, presented this workshop on How to Reverse Engineer a Journal Article at the Whitaker Institute on 7th December 2016.
BA634 Current & Emerging Technology Research Paper 1 .docxwilcockiris
BA634 Current & Emerging Technology
Research Paper
1
Understanding Evolving Technologies
As we all know technology is evolving at a rate that, to some, seems
overwhelming. These technologies often evolve to offer higher quality products and
services at lower prices causing a disruption in markets that is sometimes perceived as
unwelcome. These disruptive technologies are sometimes the results of innovative
business models that are also part of the evolving processes of a competitive
marketplace.
This is an individual research paper required from BA634 students.
As a Research Project, select one of the following research areas:
Cloud Computing (Intranet, Extranet, and Internet)
Machine Learning
Artificial Intelligence
Internet of Things (IoT)
Robotics
Medical Technology
1) Your research paper needs to be between 12-15 pages.
2) It needs be submitted as a WORD document.
3) The research paper must only include materials from peer reviewed
journals and peer reviewed conference proceedings. APA formatted
citations are therefore required for the final submission. Newspapers,
websites (URLs), magazines, technical journals, hearsay, personal
opinions, and white papers are NOT acceptable citations.
4) Each submission will be checked for plagiarism. All plagiarized
documents will results in a grade of zero for the exercise.
5) If there is extensive synonym use or not understandable, long
sentences, the document will results in a grade of zero for the
exercise.
6) The final research paper must include your through analysis and synthesis
of the peer reviewed literature used in your research paper.
7) There will be a limit of 3 images, tables, figures are to be included in the
BA634 Current & Emerging Technology
Research Paper
2
appendices and DO NOT count for page limit requirements.
8) Long quotations (i.e. paragraphs) are NOT permitted. Only one quoted
sentence is permitted per page.
9) Footnotes are NOT permitted.
Document Details
Chapter 1 Introduction
Background/Introduction
In this section, present enough information about the proposed work such that the reader
understands the general context or setting. It is also helpful to include a summary of how the rest
of this document is organized.
Problem Statement
In this section, present a concise statement of a research-worthy problem addressed (i.e., why the
work should be undertaken – don’t say required for the class). Follow the statement of the
problem with a well-supported discussion of its scope and nature. The discussion of the problem
should include: what the problem is, why it is a problem, how the problem evolved or developed,
and the issues and events leading to the problem.
Goal
Next, include a concise definition of the goal of the work (i.e., what the work will accomplish).
Aim to define a goal that is measurable.
Research Questions
Research que.
The document provides advice on academic writing from the University of Toronto. It discusses developing an argument in essays, the differences between high school and university writing expectations, planning and organizing essays, writing introductions and conclusions, developing paragraphs, reading and researching critically, specific types of academic writing, and editing for style. It emphasizes developing a clear thesis, considering the intended audience and discipline, and structuring essays in a logical flow of ideas supported by evidence.
Select a topic to research. For your research, you must use Google.docxbagotjesusa
Select a topic to research. For your research, you must use Google Scholar or another reputable site. Use Lecture 2 for a description of what is considered a scholarly article. Use APA formatting style for references. Create a title page and a reference list with 10 references from the last 5 years. Include the permalink for each reference. Include the following types of references:
1. Book
2. Journal articles
3. Website
4. Dissertation/thesis from a database
5. Streaming video
6. Book chapter
Prepare this assignment according to the guidelines found in the APA Style Guide. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
LECTURE 2
Introduction
Learning to communicate appropriately and effectively in a variety of settings and in a variety of formats is an important skill in both academic and professional environments. In an online learning environment, learning to communicate effectively through writing is particularly important because it is, by far, how the majority of communication occurs. Review the learning objectives for this module within the course syllabus and use the following lecture, which is about various forms of written communication used in the online graduate setting, to accomplish them.
Paraphrasing
Paraphrasing the ideas of others is a requirement in academic writing and graduate study. Paraphrasing is using your own words to restate ideas or information from a source material. Paraphrasing will help you grasp the full meaning of the source material and allow you to appropriately reference the source material to support your own ideas and academic writing. Paraphrased material is usually shorter and more concise than the original information. The following are some common guidelines taken from the Purdue Online Writing Lab (2012), which may assist you with learning to paraphrase information gathered from reading materials for use in completing your coursework.
Reread the original passage until you understand its full meaning.
Set the original passage aside and, on a note card, write what you think the passage means in your own words (paraphrase).
Jot down a few words below your paraphrase to remind you later of how you plan to use the information. At the top of the note card, write a key word or phrase to indicate the subject of your paraphrase.
Compare your paraphrase with the original to make sure that your version accurately expresses all the essential information.
Use quotation marks to identify any unique term or phrase you copied exactly from the original source.
Record the source (including the page) on your note card so that you can cite it easily if you decide to incorporate the material into a paper or discussion question response.
The following is an example of paraphrasing (Purdue OWL, 2012), which i.
This document provides advice on various aspects of academic writing such as essay composition, organization, thesis statements, critical reading, note taking, documentation, revision, and use of articles. It discusses starting writing early through exploration, keeping the overall purpose in mind, and revising extensively. When transitioning from high school to university writing, it encourages critical thinking over formulas. The document also debunks myths about thesis statements and emphasizes flexibility in organization.
The document provides advice on academic writing. It discusses various topics like planning and organizing an essay, reading and research, using sources, and specific types of writing like book reviews and literature reviews. Some key points include how to formulate a thesis and outline for an essay, techniques for taking effective notes from research sources, how to avoid plagiarism by properly citing sources, and the purpose of a literature review in conveying established ideas on a topic to the reader.
Academic essays require an argument supported by evidence from sources. They should have an introduction that provides context and a thesis, body paragraphs that develop the argument, and a conclusion. When writing, students should do research, take notes, write drafts, and revise for clarity, flow, and to address any errors. Proper formatting of citations and references is needed to avoid plagiarism.
This document provides guidance on writing the introduction section of a literature review. The introduction should briefly introduce the topic, key concepts, and scope/organization of the review. It typically covers 2-3 pages. The document then discusses different styles for organizing the subsections of the literature review, including discussing studies individually or grouping them, and organizing by findings or scoring studies. It provides tips for writing the review such as outlining first, writing in sections, and finding patterns in the literature to synthesize it. The goal is for the rationale of the proposed work to be clear by the end of the review.
The document provides advice on various aspects of academic writing such as essay structure, organization, introductions, conclusions, and paragraphs. It emphasizes that an essay should have an argument, prove a point through reasoning and evidence, and be organized clearly. Good introductions identify the topic, context and focus, while conclusions provide closure and stimulate further thought. Well-written paragraphs feature a central topic sentence and develop ideas through examples, definitions, analysis, comparisons and more. Research notes should be labeled intelligently and concisely record key ideas. Different types of academic writing like reviews, bibliographies and literature require focusing on specific criteria.
This document provides advice on academic writing, including understanding essay topics, organizing essays, developing paragraphs, and revising writing. It recommends formulating a clear thesis statement, using an introduction to engage readers and provide context, and concluding by reinforcing the central argument. Well-organized paragraphs are key, with a topic sentence and logical progression of supporting ideas through techniques like definition, analysis, and illustration. Thorough revision is emphasized to transform a first draft into an excellent final paper.
ANT2002 Major Essay Instructions.docxEssay Question Discuss.docxamrit47
ANT2002 Major Essay Instructions.docx
Essay Question:
Discuss the concept of an epidemiological transition. Explain the natures of those associated with the Neolithic, urbanisation/civilisation, colonisation/migration/ conquest, and modernisation.
MAJOR ESSAY (2500-3000 WDS)Assessment
· Item MAJOR ESSAY (2500-3000 WDS) — TWMBA ONLINE ONL
Due by 11 May 2020
Maximum grade 40
Weighting 40%
· Assessment of essays
All essays returned to you will have a marking matrix attached with comments. These are meant to be constructive and are made to point out errors and areas where improvements could be made. The comments will explain why you got the mark you did. They are, therefore, usually ‘critical’. You should consider these comments carefully, and try to understand why they were made. If you do not see the point, or want further comment, please take this matter up with whoever marked your essay, preferably via the course coordinator A/Prof Lara Lamb.
The following points will be noted particularly in marking essays:
1. Relevance to the topic set.
2. Organisation and effectiveness of argument, and proper use of anthropological concepts and principles as outlined during the course of your reading.
3. Evidence of reading outside the set texts and accuracy of facts presented in the essay.
4. Originality – careful and critical thought about the topic, and use of illustrative material from independent reading and also, to some extent, from observation and experience.
5. Accuracy and clarity of written English, including grammar, spelling, and punctuation. Overall legibility and general setting out will be noted, especially of essay structure and referencing.
How to write an essay/presentation
Do not go over the word limit. This is set specifically to help you develop a sharp and concise style. Going under the word limit is preferable to ‘padding out’ your answer with vagaries or ‘waffle’ to reach the word limit.
Do not use value judgements of subjective terminology such as: primitive, backward, surprisingly advanced, superior or developed. You must be objective and indicate clearly what you mean by your terms.
Writing an essay is a gradual process; the final version of an essay should have been developed over several drafts, prepared as you explore the topic and compile notes from reading material.
You will usually need to do some reading before you can grasp the significance of the set topic. Begin with the suggested references in your book of reading and, as you read, keep a copy of the actual wording of the topic/question in view. Initial reading will enable you to:
1. Recognise the implications underlying the actual wording of the topic.
2. Understand key ideas and terms.
3. Identify all parts of the set question.
After some preliminary reading, when you feel you are beginning to grasp the topic, draft an outline plan for your essay. This will involve drawing up headings for each major section of your essay, writing a statement, in .
This document provides advice on academic writing. It covers general topics such as essay structure, thesis statements, introductions and conclusions. It also discusses planning and organization, including outlining and determining how much time to spend planning. Additionally, it addresses reading and research, such as critical reading, note taking, dealing with new words, and summarizing. The document also provides guidance on using sources, including quotations, paraphrasing and documentation formats. Finally, it covers revising, editing, common errors, and using word processing software to improve writing.
This document discusses the structure and purpose of a thesis or dissertation. It begins by defining a thesis as a document submitted in support of a degree that presents original research and findings. It then outlines the typical sections of a thesis, including an introduction describing the problem and previous work, methods, results, discussion, and conclusions sections. It notes that a thesis allows students to apply their learning by working on a technical problem and documenting their process and findings. The document also compares theses to dissertations, noting dissertations are typically longer and must contribute something new to the field while theses demonstrate analytical skills and critical thinking within a topic.
The document provides guidance on writing a literature review for an undergraduate dissertation. It discusses what a literature review is and its purpose, the structure of a literature review, critical reading, synthesizing information from sources, and concluding the literature review. Key points covered include demonstrating an in-depth understanding of the topic area, identifying major thinkers and research gaps, and convincing the reader that the research questions are important and the thesis will make an original contribution.
This document provides an overview of writing a research paper in APA style for health care practitioners. It discusses the key components of an APA paper including an introduction, body, and conclusion. The body requires integrating evidence from sources to support arguments. Additional notes cover APA formatting guidelines, grammar, and where to get writing assistance. The overall purpose is to educate students on writing research papers to develop as knowledge makers for their future health care careers.
Essay Topic:
Name(s):
Category
5
4
3
2
1
Your score
Supporting Evidence
Student(s) provide a very wide range of materials to support their claims and statements (articles, cases, legislations, etc.)
Student(s) provide strong supporting evidence to back their claims
Student(s) provide adequate evidence to support claims
Student(s) provide weak evidence.
Student(s) provide no supporting evidence.
Structure and effectiveness
Essay is excellently structured with an introduction, body and conclusion. Essay maintains a clear thesis, and clear focus.
Essay is well structured with a good thesis and effective structure.
Essay is adequately structured and presented.
Essay is poorly structured and not well presented.
Essay has no structure and is ineffective in explaining the concepts.
Use of Sources
Essay contains a wide variety of sources and the student makes excellent use of referencing throughout the essay.
Essay contains a decent number of sources and student makes strong use of reference throughout.
Essay contains an adequate amount of sources and student makes adequate use of references throughout.
Essay contains a weak variety of sources and little referencing is made throughout essay.
Essay contains no references and a weak/non-existent bibliography
Critical Thinking
Essay contains insightful analysis with unique presentation clear connections made to real life.
Essay contains strong indications of critical thinking.
Essay contains average indications of critical thinking
Essay contains very little critical thinking.
Essay contains no critical thinking and weak analysis.
Comments
TOTAL
/20
Your assignment is to write a research project that includes a review of the current understanding of the topic, a clearly stated hypothesis, a description of the experimental or observational methods you would use to test your hypothesis, and a discussion of how your research will contribute to the field of this Course. Before you begin writing your proposal, you must conduct considerable research to determine what studies have been done and what questions remain unanswered. This library research should continue as you write to help you dig deeper into the topic, formulate your ideas, and devise your methods. Be prepared to make room for this back and forth between research and writing as you consider and reconsider your project ideas and begin drafting your proposal. You are free to select a topic you feel comfortable with.
The length of paper should contain no more than 1500 words.
I. Organisation
1. Abstract
The objective of this very short statement is to tell the reader something about the purpose of the course work and its content. You should explain what you intend to do and why. Then you should tell the reader what you did and what you would recommend.
The Abstract should be written at the end, when you have finished your work and the structure is complete. It may du.
Davey, F. H. (1993). The occupational aspirations and expectations of senior high school students. New York City: Abiva Publishing House, Inc.
Cook, T. D., Church, M. D., Ajanaku, S., Shadish, W. R., Dim, J., & Cohen, R. (1996). The development of occupational aspirations and expectations among inner-city boys (2nd ed.). Quezon City: JO-ES Publishing House, Inc.
BA634 Current & Emerging TechnologyResearch PaperUnderstanding.docxwilcockiris
BA634 Current & Emerging Technology
Research Paper
Understanding Evolving Technologies
As we all know technology is evolving at a rate that, to some, seems overwhelming. These technologies often evolve to offer higher quality products and services at lower prices causing a disruption in markets that is sometimes perceived as unwelcome. These disruptive technologies are sometimes the results of innovative business models that are also part of the evolving processes of a competitive marketplace.
This is an individual research paper required from BA643 students.
As a Research Project, select one of the following research areas: Cloud Computing (Intranet, Extranet, and Internet), Machine Learning, Artificial Intelligence, Internet of Things (IoT), Robotics, or Medical Technology.
1) The research paper must only include materials from peer reviewed journals and peer reviewed conference proceedings. APA formatted citations are therefore required for the final submission. Newspapers, websites (URLs), magazines, technical journals, hearsay, personal opinions, and white papers are NOT acceptable citations.
2) Each submission will be checked for plagiarism. All plagiarized documents will results in a grade of zero for the exercise.
3) If there is extensive synonym use or not understandable, long sentences, the document will results in a grade of zero for the exercise.
4) The final research paper must include your through analysis and synthesis of the peer reviewed literature used in your research paper.
5) All images, tables, figures are to be included in the appendices and DO NOT count for page limit requirements.
6) Long quotations (i.e. paragraphs) are NOT permitted. Only one quoted sentence is permitted per page.
7) Footnotes are NOT permitted.
Document DetailsChapter 1 Introduction
Background/Introduction
In this section, present enough information about the proposed work such that the reader understands the general context or setting. It is also helpful to include a summary of how the rest of this document is organized. Problem Statement
In this section, present a concise statement of a research-worthy problem addressed (i.e., why the work should be undertaken – don’t say required for the class). Follow the statement of the problem with a well-supported discussion of its scope and nature. The discussion of the problem should include: what the problem is, why it is a problem, how the problem evolved or developed, and the issues and events leading to the problem. Goal
Next, include a concise definition of the goal of the work (i.e., what the work will accomplish). Aim to define a goal that is measurable.
Research Questions
Research questions are developed to help guide the authors through the literature for a given problem area. What were the open-ended questions asked and why did you find (or not find) them adequate. Relevance and Significance
Consider the following questions as you read through the article and state how the author.
This document provides guidance on academic writing for a language and written expression course. It covers various topics such as organizing an essay, developing paragraphs, avoiding plagiarism, using sources, grammar rules for verbs and articles, and different types of writing like comparative essays, science writing, and admissions letters. The document emphasizes planning and outlining essays, using various paragraph structures, citing sources properly, and revising for clarity, style, and grammar. It also includes sections on writing literature reviews, research proposals, and bibliographies in academic format.
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2014 04-14 How to reverse engineer a journal article
1. How to Reverse-engineer
a Journal Article
Professor Rebekah Russell-Bennett
Queensland University of Technology
National University of Ireland, Galway, 2014
2. What is RE?
Extracting
knowledge
or ‘blueprint’
Discover the
methods for
writing
YOUR article
Efficiency
(why
reinvent the
wheel?)
Effective use
of resources
(time,
money, self-
esteem)
Increase
likelihood of
success (if it
looks like a
duck….)
Why reverse-engineer an article?
Caveat: This is only
one way to write an
article it is not THE
only way.
3. Template:
Harris and Reynolds
2003 –writing up
qualitative findings
(producing a model and
propositions)
Published article
Leo and Russell-Bennett
2012 – Journal of
Marketing Management
(ERA A) article on
qualitative findings for
customer-oriented
deviance.
The proof it works
4. 1. Pick your target
2. Read the author requirements
3. Find an example article
4. Deconstruct the article
5. Reconstruct your article-structure
6. Add your content
7. Identify papers to cite
Steps to reverse-engineering a
journal article
6. You either:
design your research around the requirements of the
journal
Or
Find the journal where your research will fit
1. Pick your target
V
7. It might sound crazy but READ the author requirements published on the
journal website
Example: Journal of the Academy of Marketing Science
http://www.springer.com/business+%26+management/journal/11747
What are the aims/scope? Will your research fit?
In order for a manuscript to be published in JAMS it must, at the
minimum, meet the following criteria:
Focus on a substantive issue in the domain of marketing
Offer fundamentally new insights that advance the field
Be literature-based and scholarly
Demonstrate conceptual rigor
Provide evidence of methodological rigor, if an empirical piece
If you think your research fits then commence – if not find another journal
2. Author requirements
8. Articles have conventions of setting up research and
reporting findings.
Find an example article in your chosen journal that uses
the same analysis technique
Multilevel regression: Homburg and Furst 2011
Experiment: Du, Fan and Feng 2011
3. Find an exemplar article
12th Century manuscript
Requirements
• Illumination
• Colour
• Latin
• Large opening capital
letter
19th Century manuscript
Requirements
• Italics, bold and
underlined headings
• Direct quotes
• Black and white
9. Step 1. Heading structure and paper
format
Step 2. Style
Step 3 Contribution
Step 4 Purpose and key frameworks
Step 5 logic and structure
Step 6 Synthesis techniques
Step 7 Conventions
Step 8 Linking findings back to
literature
4. Deconstruct the example article(s)
10. How many heading levels?
How many words in each section?
Where is the emphasis?
Open up a new word doc:
Type up the headings with word count
4.1 Heading structure and paper format
11. Step 2. Style
Title: Quirky? Every variable in your model?
Language style
US? British? English
Passive vs active
Readership age
4.2 Style
Score Notes
90.0–100.0 easily understood by an average 11-year-old student
60.0–70.0 easily understood by 13- to 15-year-old students
0.0–30.0 best understood by university graduates
12. Importance of research
Identify Gap, RQ and contribution in Introduction and
discussion
How do they ‘frame’ the contribution?
In which paragraphs is this stated? Add this to your word doc
Can you see the relationship between gap and contribution?
Gap and RQ?
What is the scope of the research?
At what level of cognition is the article operating? (Bloom’s
Taxonomy)?
4.3 Contribution
13. What is the goal and aim of
research (should link to RQ)?
In which paragraph is this stated?
How is theory used in the front
section of the paper?
What theories, definitions are used
and where are they stated?
What are the seminal papers in the
field (how do you know?)
4.4 Purpose and key frameworks
14. What is the purpose of
each section?
What is the purpose of
each paragraph?
Write this for each
section and paragraph
on your word doc
4.5 Logic and structure
15. How do they synthesise the
literature?
Do they use visuals?
Mindmaps, tables, lists,
figures
List techniques you might
use in your word doc
4. 6 Synthesis technique
16. How is the hypotheses/proposition phrased?
H1. Materialism has a negative association with life satisfaction
Vs
When conferred in the presence of others, preferential treatment
that is earned (vs. unearned) will result in increased (vs.
attenuated) satisfaction with a shopping experience.
How are the results reported?
Sample, measures, validity/reliability
Table format for results
Add these conventions to your word doc
4.7 Conventions
18. Using the notes from the deconstruction, draft up your
own structure
Level 1, 2 and 3 headings
Number of words
Purpose of each section
Key words for each paragraph
Wording of hypotheses/propositions
Location of gap/RQ – top and tail
Language
Conventions
5. Draft structure for your article
19. Take content from your thesis and pair it down
What is your research topic?
What is your key contribution?
What is a good title that ‘fits’ the journal?
What are your headings (this builds your logic
structure)?
What is the purp
ose of each of your sections/paragraphs?
How should you word your
hypotheses/propositions?
Add the tables and reporting requirements
Manchester Uni Phrasebank
6. Reconstruct: Now add your own
content
20. You should continue a conversation in a
journal
It shows you are familiar with the journal
One of the authors in the journal may be a
reviewer
Search the journal
Keywords that are in your article
Topic area of your research
Seminal authors cited in your research
Read the articles and work out if you
should cite them in your article
7. Who do you need to cite?
21. Pay attention to the details
Punctuation
Spelling
Grammar
8. Proofing and editing
Editor's Notes
Materials
Copies of the weekly readings
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
you can use Blooms Taxonomy to classify parts of journal articles. Go to this link to see the cognitive domains that range from low level to high level. The lowest level is descriptive and involes simple recall of facts whereas the highest level consists of analysis, synthesis and evaluation. A good literature review should operate at the higher level. This link lists the key words that identify the level eg the words appraises, compares, contrasts, defends etc means that the article is about evaluation.
Reverse engineering a UFO
http://www.viewzone.com/ufopropulsionx.html