...behavior in research analysis will analyze an ethical issue raised in the article, The Causal Generalization Paradox: The Case of Treatment Outcome Research, written by Graham L. Staines. The article by Staines discusses the causal generalization paradox. The ethical issue at the heart of the article is the use of improper sampling procedures. With the vast amount of research taking place and random assignment techniques, less of a priority is being placed upon random sampling. According to Staines,2008 experimental research typically selects units, in part or in whole, at the convenience of the researcher. The researcher then makes no attempt, or often times only a limited attempt, to ensure that this sample is an accurate representation of some larger group or population. This form of convenience sampling is an ethical issue simply because experimental data based upon the use of “convenience samples rather than probability based samples, there is almost never a formal justification, or set of rigorous guidelines, for generalizing the study’s findings to other populations” (Staines, 2008). The generalization paradox and improper sampling procedures may often cause...
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...Variables Sampling 689 I have edited a portion of Module G from your textbook so that it more closely follows my lecture. I need to acknowledge that this is not my original work and much of it is taken word for word from the 2nd edition of Auditing & Assurance Services by Louwers, Ramsay, Sinason and Strawser. Tad Miller Classical Variables Sampling LEARNING OBJECTIVE Understand the basic process underlying classical variables sampling in an audit examination. When performing substantive procedures, one approach is classical variables sampling. Classical variables sampling methods use normal distribution theory and the Central Limit Theorem to provide a range estimate of the account balance. The auditor uses the sample estimates to determine whether the account balance is fairly stated. The Central Limit Theorem indicates larger sample sizes provide a sampling distribution that more closely reflects a normal distribution. Therefore, larger sample sizes will yield a lower level of sampling risk. In this section, we briefly illustrate mean-per-unit classical variables sampling. We illustrate the manual calculations necessary to determine sample size and evaluate sample results. However, if clients maintain records in electronic format, auditors typically use computer software to perform these tasks. Classical Variables Sampling: Planning In the planning stages of classical variables sampling, the auditor determines the objective of sampling, defines the attribute...
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...census, less costly to administer than a census and it is possible to obtain statistical results of a sufficiently high precision based on samples. There are two types of sampling techniques, probability and non-probability sampling. Probability Sampling A probability sampling method is any method of sampling that utilizes some form of random selection. In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen. Humans have long practiced various forms of random selection, such as picking a name out of a hat, or choosing the short straw. These days, we tend to use computers as the mechanism for generating random numbers as the basis for random selection. To produce our results, we combine the responses from the sample in a way which takes account of the selection probabilities. Our aim is that, if the sampling were to be repeated many times, the expected value of the results from the repeated samples would be the same as the result we would get if we surveyed the whole population. Because we know the probability of getting each sample we select, we can also calculate a sampling error for the results. The sampling error tells us the amount of variation in the results due to the sampling alone. It gives a measure of the quality of the sample design, and of the survey results. A simple random sample is a sample in which each member of the population...
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...THE ELEMENTARY OF A PROPOSAL 1. Introduction The introduction is the part of the paper that provides readers with the background information for the research reported in the paper. Its purpose is to establish a framework for the research, so that readers can understand how it is related to other research. In an introduction, the writer should create reader interest in the topic, lay the board foundation for the problem that leads to the study, place the study within the larger context of the scholarly literature, and reach out to a specific audience. 2. Statement of the Problem State the problem in terms intelligible to someone who is generally sophisticated but who is relatively uninformed in the area of your investigation. A problem statement should be presented within a context, and that context should be provided and briefly explained, including a discussion of the conceptual or theoretical framework in which it is embedded. Clearly and succinctly identify and explain the theoretical framework that guides your study. This is of major importance in nearly all proposals and requires careful attention. 3. Purpose of the Study The purpose statement should provide a specific and accurate synopsis of the overall purpose of the study. If the purpose is not clear to the writer, it cannot be clear to the reader. Briefly define and delimit the specific area of the research. Foreshadow the hypotheses to be tested or the questions to be raised, as...
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...main purpose of the study is to centre on the benefits of psychology and education In addition the research study tries to respond on alternate issues regarding psychology as well as education. The research study also focuses on demonstrating more concerning the needed researches that could be conducted on psychology and education. Although not a clear explanation the study defines more on this. Consequently, the technique that used in undertaking the study involves the use of questionnaires along with descriptive figures. Key words R.D: Research design S.Z: Sample size S.M: Sampling method Table of contents Contents Aim 2 Abstract 3 Key words 4 1.0 Introduction 7 1.2 The problem 10 1.4 Specific Objectives 10 1.5 Background to the problem 11 2.0 Method (Research Design) 13 2.1 participants 13 2.2 Sampling procedures 13 2.3 Sampling Technique 14 2.4 Sampling size 14 2.5 Target Behaviour 15 2.6 Ethical, legal and socio cultural concerns 16 2.7 Methods of recording the behaviours 16 3.0 Results 17 3.1 Mock data 17 Table 3.1.1 gender of the Participants 17 Figure 3.3.1 shows the number of participants who were 1o males and 10 females. 17 Figure 3.3.2 shows the age groups of the participants 18 Figure 3.3.2...
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...Business Statistics SCMA 1000 Winter 2015 Section 2 Assignment 1 Due Tuesday February 25, 2015 Sampling exercise The purpose of this exercise is to convey some basic concepts in regards to sampling while at the same time deriving sampling distributions empirically. Deriving sampling distributions empirically works best when there are a large number of samples. The idea here is that each student in the class will create 20 samples for two populations, using two different sampling procedures, for a total of 80 samples. These samples will be combined into common datasets which will be used in class (and made available to all students in the class. The four sampling contexts will be: 1. Discrete numerical population, sampling without replacement (DNWITHOUT) 2. Discrete numerical population, sampling with replacement (DNWITH) 3. Dichotomous population, sampling without replacement (DWITHOUT) 4. Dichotomous population, sampling with replacement (DWITH) You will generate 20 samples of 5 observations for each of the four sampling contexts above for a total of 80 samples. The deliverable for this exercise will be an Excel spreadsheet. The samples from all four sampling contexts are to be recorded and submitted on the same spreadsheet. The exact details of which will be described below. The spreadsheet will be used to record your samples. The spreadsheet will have 80 rows, one row for each sample. The first two columns (Columns A and B) will be your last...
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...Research Methodology Report for the Modular Grants Application Process Outcome Evaluation Study 1. Introduction This report describes the research methodology used for the Modular Grants Application Process Outcome Study. More specifically, this paper is divided into three sections that describe the sampling, data collection, and response rates for the five stakeholder groups involved in the outcome study. The five stakeholder groups are: 1) principal investigators, 2) peer reviewers, 3) NIH scientific review administrators, 4) NIH program and grants management staff, and institutional officials. The first section includes information on the size and origin of the sampling frames (population files), the sample sizes, sampling methods, and margins of error (confidence intervals) around the population estimates. The second section describes the data collection procedures and the last section provides the study response rates and calculations. 2. Sampling 1. Population The size and origin of each of the sampling frames, or population files, is described in detail below. 1. Principal Investigators In March 2004, NIH provided Westat with a population file that consisted of all people who had applied for a modular grant since its inception in June 1999. The population file contained a flag indicating whether or not the individual had ever been awarded a modular grant. The file also contained the principal investigators’ mailing address, telephone number...
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...84 CHAPTER 3 Research design, research method and population 3.1 INTRODUCTION Chapter 3 outlines the research design, the research method, the population under study, the sampling procedure, and the method that was used to collect data. The reliability and validity of the research instrument are addressed. Ethical considerations pertaining to the research are also discussed. 3.2 RESEARCH DESIGN It is the blueprint for conducting the study that maximises control over factors that could interfere with the validity of the findings. Designing a study helps the researcher to plan and implement the study in a way that will help the researcher to obtain intended results, thus increasing the chances of obtaining information that could be associated with the real situation (Burns & Grove 2001:223). 3.3 RESEARCH METHOD A quantitative, descriptive approach was adopted to investigate reasons why women who requested TOP services failed to use contraceptives effectively. 3.1 Quantitative This is a quantitative study since it is concerned with the numbers and frequencies with which contraceptive challenges were experienced by women who requested TOP services in terms of the 85 CTOP Act (no 92 of 1996) in the Gert Sibande District of the Mpumalannga Province of the RSA, during August and September 2003. 3.2 Description This study was descriptive because it complied with the characteristics of descriptive research as stipulated by Brink and Wood (1998: 283). • Descriptive designs...
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...Facilitators/Tutors and Tutorials Summary . . . . INTRODUCTION Data collection methodology is a two credit unit first semester course available to first semester course available to students of Bachelor of Education (B.Ed) Library and Information science. 4 Research involves data collection, any discipline of the social sciences, education and even the sciences needs a sound knowledge of research; how to conduct research, ethics of research and generally to write a report or design a study. The use and importance of research cannot be overemphasized. All students undergoing any form of degree programme is required to write a project, thesis or dissertation. This course offers a complete guide to such write ups including statistical techniques in sampling measurements and ethics of research. What you will learn in this course The course consist of units and a course guide which informs you briefly...
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...Sampling Sampling Third Edition STEVEN K. THOMPSON Simon Fraser University A JOHN WILEY & SONS, INC., PUBLICATION Copyright © 2012 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or...
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...Table of Contents page no. 1. EXECUTIVE SUMMARY 1-2 2. INTRODUCTION 3-7 * PHARMACEUTICAL INDUSTRY IN INDIA 4 * FACTS ABOUT INDIAN PHARMACEUTICAL COMPANY 5-6 3. COMPANY PROFILE 7-12 * HISTORY 8-9 * VALUES, VIEW AND POSITION 10 * RESPONSIBILITY 11 * DISCOVERY AND DEVELOPMENT 12 4. COMPENETCY MAP 13-18 5. HUMAN RESOURCE DEPARTEMENT 19 ...
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...DETERMINANTS OF DRINKING ALCOHOLIC BEVERAGES AMONG OLOPSC STUDENTS In Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Hotel and Restaurant Management A Thesis Presented to the Panelists and Participants of the Course Hotel Restaurant Management Department Our Lady of Perpetual Succor College Ordonez St. Concepcion, Marikina City CHRISTAL ANNE A. QUIRANTE CHRISTINE MAGSINO March 2012 I. INTRODUCTION A. Background of Study This study covers the determinants of alcohol drinking among students. From researcher‟s observation, alcohol drinking is a big part of college student‟s merry-making activities. Some considered it is an essential part of fiestas, birthdays, and parties. Even when there is no special occasion, many college students hang out together in their homes, pubs, bars, clubs, friend‟s houses and the likes. Observing and describing the behavior of the students in relation to alcohol drinking will help us understand and determine the influences of factors of drinking alcohol. B. Statement of the Problem The study examines to identify the determinants of drinking alcohol among OLOPSC students: 1. College students learned to drink alcoholic beverages because of their parents or relatives approval. 2. Social gatherings provoke alcohol drinking to students. 3. Influences of friends pushed students to drink alcohol. C. Significance of the Study This study was conducted to identify the main influences of factors of alcohol...
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...What is “Statistics”? Data collection Chapter 1 of text “a way to get information from data” A framework for dealing with variability A way to make decisions under uncertainty Statistical inference: the problem of determining the behaviour of a large population by studying a small sample from that population Why is statistics important in business? Financial management (capital budgeting) Marketing management (pricing) Marketing research (consumer behaviour) Operations management (inventory) Accounting (forecasting sales) Human resources management (performance appraisal) Information systems Economics (summarising, predicting) See http://www.youtube.com/watch?v=D4FQsYTbLoI What is a population? What is a sample? Population: a collection of the whole of something – e.g. all female students of ANU; all people who live in Tuggeranong; all people who play the flute. Sample: a set of individuals drawn from a population e.g. the female students in STAT1008 are a sample of all female students at ANU. If we have a population…. We can get parameters – true values for things like the centre and spread of the population We know the answers – what proportion are this tall? We look at the population and get the answer. If we have a sample… We can get statistics – these are values that estimate the parameters e.g. sample centre and sample spread used to estimate population centre and population spread We have to use inference to do this estimation – what proportion are this...
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...three main tools the auditor might use in gathering and evaluating audit evidence are: • Audit sampling • Generalized Audit Software • Analytical procedures 8-2. Non-sampling risk is the risk that the auditor makes an improper assessment of inherent and/or control risk or did not apply audit procedures carefully. It can be minimized through: (1) Good hiring, training and supervision practices; and (2) Careful and knowledgeable review of audit documentation and audit procedures. Sampling risk is the risk that the misstatement projections based on the sample results lead to the wrong conclusion about the population because of a non-representative sample. Sampling risk can be reduced by increasing the sample size – to the extreme of auditing the entire population therefore eliminating sampling risk altogether. 8-3. Factors to consider when choosing between statistical and nonstatistical sampling include: • Need to quantify and control sampling risks. • Additional cost of designing, selecting, and evaluating a statistical sample. • Availability of computer software to assist in designing, selecting, and/or evaluating the sample. • Ability of the audit staff to properly implement statistical sampling. 8-4. a. Tolerable deviation rate depends on the significance of the control procedure being tested and the degree of reliance the auditor wishes to place on it. The auditor, in essence, considers...
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...items for testing (True/False). (10%) False 2. Name the two types of audit sampling. (30%) Statistical and Non-Statistical 3. List the three types of statistical sampling. (30%) Simple random, stratified, and cluster sampling 4. Name three non-statistical sample selection methods. (30%) Block sampling, haphazard sampling, random number sampling 10/10 = 100% Week 4 Multiple Choice 1. In an audit sampling application, an auditor a) Performs procedures on all items in a balance and makes a conclusion about the entire balance. b) Performs procedures on less than 100 percent of the items in a balance and formulates a conclusion about the entire balance. c) Performs procedures on less than 100 percent of the items in a class of transactions to become familiar with the client's accounting system. d) Performs analytical procedures on the client's unaudited financial statements when planning the audit. 2. Auditors consider statistical sampling to be characterized by the following: a) Representative sample selection and nonmathematical consideration of the results. b) Carefully biased sample selection and mathematical calculation of the results. c) Representative sample selection and mathematical calculation of the results. d) Carefully biased sample selection and nonmathematical consideration of the results. 3. In which of the following scenarios would the use of sampling be most appropriate? a) The population consists of a relatively small number...
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