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CONCLUSION 99 left feeling, at the end of this chapter, that the task of research is complex, then that is an important message, for rigour and thoughtful, thorough planning are necessary if the research is to be worthwhile and effective. For a checklist for evaluating research see the accompanying web site (http://www.routledge.com/textbo<strong>ok</strong>s/ 9780415368780 – Chapter 3, file 3.4.doc). Chapter 3
4 Sampling Introduction The quality of a piece of research stands or falls not only by the appropriateness of methodology and instrumentation but also by the suitability of the sampling strategy that has been adopted (see also Morrison 1993: 112–17). Questions of sampling arise directly out of the issue of defining the population on which the research will focus. Researchers must take sampling decisions early in the overall planning of a piece of research. Factors such as expense, time, accessibility frequently prevent researchers from gaining information from the whole population. Therefore they often need to be able to obtain data from a smaller group or subset of the total population in such a way that the knowledge gained is representative of the total population (however defined) under study. This smaller group or subset is the sample. Experienced researchers start with the total population and work down to the sample. By contrast, less experienced researchers often work from the bottom up, that is, they determine the minimum number of respondents needed to conduct the research (Bailey 1978). However, unless they identify the total population in advance, it is virtually impossible for them to assess how representative the sample is that they have drawn. Suppose that a class teacher has been released from her teaching commitments for one month in order to conduct some research into the abilities of 13-year-old students to undertake a set of science experiments; that the research is to draw on three secondary schools which contain 300 such students each, a total of 900 students, and that the method that the teacher has been asked to use for data collection is a semi-structured interview. Because of the time available to the teacher it would be impossible for her to interview all 900 students (the total population being all the cases). Therefore she has to be selective and to interview fewer than all 900 students. How will she decide that selection; how will she select which students to interview If she were to interview 200 of the students, would that be too many If she were to interview just 20 of the students would that be too few If she were to interview just the males or just the females, would that give her a fair picture If she were to interview just those students whom the science teachers had decided were ‘good at science’, would that yield a true picture of the total population of 900 students Perhaps it would be better for her to interview those students who were experiencing difficulty in science and who did not enjoy science, as well as those who were ‘good at science’. Suppose that she turns up on the days of the interviews only to find that those students who do not enjoy science have decided to absent themselves from the science lesson. How can she reach those students Decisions and problems such as these face researchers in deciding the sampling strategy to be used. Judgements have to be made about four key factors in sampling: the sample size representativeness and parameters of the sample access to the sample the sampling strategy to be used. The decisions here will determine the sampling strategy to be used (see http://www.routledge. com/textbo<strong>ok</strong>s/9780415368780 – Chapter 4, file 4.1.ppt). This assumes that a sample is actually required; there may be occasions on which the researcher can access the whole population rather than a sample.
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Research Methods in Education This
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First published 2007 by Routledge 2
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Contents List of boxes xiii Acknowl
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CONTENTS ix Searching for research
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CONTENTS xi Part 5 Data analysis 22
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xiv BOXES 13.1 Independent and depe
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xvi BOXES 24.54 Frequencies and per
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xviii ACKNOWLEDGEMENTS Springer,for
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2 INTRODUCTION Package for the Soci
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1 The nature of inquiry - Setting t
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TWO CONCEPTIONS OF SOCIAL REALITY 7
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POSITIVISM 9 Box 1.1 The subjective
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THE ASSUMPTIONS AND NATURE OF SCIEN
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THE ASSUMPTIONS AND NATURE OF SCIEN
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THE SCIENTIFIC METHOD 15 an educate
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CRITICISMS OF POSITIVISM AND THE SC
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ALTERNATIVES TO POSITIVISTIC SOCIAL
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A QUESTION OF TERMINOLOGY: THE NORM
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PHENOMENOLOGY, ETHNOMETHODOLOGY AND
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CRITICISMS OF THE NATURALISTIC AND
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CRITICAL THEORY AND CRITICAL EDUCAT
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CRITICISMS OF APPROACHES FROM CRITI
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CRITICAL THEORY AND CURRICULUM RESE
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THE EMERGING PARADIGM OF COMPLEXITY
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FEMINIST RESEARCH 35 deconstructin
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FEMINIST RESEARCH 37 respecting d
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FEMINIST RESEARCH 39 Research must
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RESEARCH AND EVALUATION 41 particul
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RESEARCH AND EVALUATION 43 The age
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RESEARCH AND EVALUATION 45 to exten
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METHODS AND METHODOLOGY 47 too easi
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Page 71 and 72: 52 THE ETHICS OF EDUCATIONAL AND SO
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Page 99 and 100: 80 PLANNING EDUCATIONAL RESEARCH t
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Page 103 and 104: 84 PLANNING EDUCATIONAL RESEARCH Bo
Page 115 and 116: 96 PLANNING EDUCATIONAL RESEARCH Or
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Page 121 and 122: 102 SAMPLING sample of 200 might be
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Page 125 and 126: 106 SAMPLING would be insufficient
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Page 129 and 130: 110 SAMPLING school governors, scho
Page 131 and 132: 112 SAMPLING terms of sex, a random
Page 133 and 134: 114 SAMPLING the required sample si
Page 135 and 136: 116 SAMPLING Snowball sampling In s
Page 137 and 138: 118 SAMPLING the kind of sample (d
Page 139 and 140: 120 SENSITIVE EDUCATIONAL RESEARCH
Page 153 and 154: 134 VALIDITY AND RELIABILITY It is
Page 155 and 156: 136 VALIDITY AND RELIABILITY using
Page 157 and 158: 138 VALIDITY AND RELIABILITY includ
Page 159 and 160: 140 VALIDITY AND RELIABILITY leadin
Page 161 and 162: 142 VALIDITY AND RELIABILITY social
Page 163 and 164: 144 VALIDITY AND RELIABILITY this i
Page 165 and 166: 146 VALIDITY AND RELIABILITY prese
Page 167 and 168: 148 VALIDITY AND RELIABILITY by ass
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150 VALIDITY AND RELIABILITY Validi
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152 VALIDITY AND RELIABILITY typica
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154 VALIDITY AND RELIABILITY people
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156 VALIDITY AND RELIABILITY
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158 VALIDITY AND RELIABILITY sensit
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160 VALIDITY AND RELIABILITY certif
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162 VALIDITY AND RELIABILITY how m
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164 VALIDITY AND RELIABILITY operat
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7 Naturalistic and ethnographic res
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ELEMENTS OF NATURALISTIC INQUIRY 16
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PLANNING NATURALISTIC RESEARCH 171
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CRITICAL ETHNOGRAPHY 187 Relatio
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SOME PROBLEMS WITH ETHNOGRAPHIC AND
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8 Historical and documentary resear
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DATA COLLECTION 193 One can see fro
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WRITING THE RESEARCH REPORT 195 Ext
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THE USE OF QUANTITATIVE METHODS 197
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LIFE HISTORIES 199 Box 8.2 Atypolog
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DOCUMENTARY RESEARCH 201 Documentar
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DOCUMENTARY RESEARCH 203 What are
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9 Surveys, longitudinal, cross-sect
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SOME PRELIMINARY CONSIDERATIONS 207
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PLANNING A SURVEY 209 structured or
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LONGITUDINAL, CROSS-SECTIONAL AND T
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LONGITUDINAL, CROSS-SECTIONAL AND T
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STRENGTHS AND WEAKNESSES OF LONGITU
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STRENGTHS AND WEAKNESSES OF LONGITU
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POSTAL, INTERVIEW AND TELEPHONE SUR
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EVENT HISTORY ANALYSIS 225 may be p
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INTERNET-BASED SURVEYS 227 packages
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INTERNET-BASED SURVEYS 229 instruc
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INTERNET-BASED SURVEYS 231 Box 10.1
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INTERNET-BASED SURVEYS 237 Witte et
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INTERNET-BASED EXPERIMENTS 239 requ
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INTERNET-BASED INTERVIEWS 241 ‘ne
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SEARCHING FOR RESEARCH MATERIALS ON
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COMPUTER SIMULATIONS 245 autho
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COMPUTER SIMULATIONS 247 computer s
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COMPUTER SIMULATIONS 249 On the oth
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GEOGRAPHICAL INFORMATION SYSTEMS 25
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11 Case studies What is a case stud
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WHAT IS A CASE STUDY 255 (providing
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WHAT IS A CASE STUDY 257 argue that
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EXAMPLES OF KINDS OF CASE STUDY 259
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PLANNING A CASE STUDY 261 accounts
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CONCLUSION 263 In the narrativ
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CO-RELATIONAL AND CRITERION GROUPS
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CHARACTERISTICS OF EX POST FACTO RE
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DESIGNING AN EX POST FACTO INVESTIG
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PROCEDURES IN EX POST FACTO RESEARC
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INTRODUCTION 273 Box 13.1 Independe
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TRUE EXPERIMENTAL DESIGNS 275 motor
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TRUE EXPERIMENTAL DESIGNS 277 2 Sub
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TRUE EXPERIMENTAL DESIGNS 279 textb
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TRUE EXPERIMENTAL DESIGNS 281 Facto
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A QUASI-EXPERIMENTAL DESIGN: THE NO
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PROCEDURES IN CONDUCTING EXPERIMENT
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EXAMPLES FROM EDUCATIONAL RESEARCH
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EVIDENCE-BASED EDUCATIONAL RESEARCH
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14 Action research Introduction Act
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PRINCIPLES AND CHARACTERISTICS OF A
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PRINCIPLES AND CHARACTERISTICS OF A
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ACTION RESEARCH AS CRITICAL PRAXIS
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PROCEDURES FOR ACTION RESEARCH 305
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SOME PRACTICAL AND THEORETICAL MATT
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CONCLUSION 313 3 Actionresearchreso
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15 Questionnaires Introduction The
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APPROACHING THE PLANNING OF A QUEST
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TYPES OF QUESTIONNAIRE ITEMS 321 If
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TYPES OF QUESTIONNAIRE ITEMS 323 de
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TYPES OF QUESTIONNAIRE ITEMS 325 Ra
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TYPES OF QUESTIONNAIRE ITEMS 327 Ve
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TYPES OF QUESTIONNAIRE ITEMS 329 I
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TYPES OF QUESTIONNAIRE ITEMS 331 Fu
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ASKING SENSITIVE QUESTIONS 333 and
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AVOIDING PITFALLS IN QUESTION WRITI
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QUESTIONNAIRES CONTAINING FEW VERBA
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COVERING LETTERS OR SHEETS AND FOLL
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PILOTING THE QUESTIONNAIRE 341 Nove
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PRACTICAL CONSIDERATIONS IN QUESTIO
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ADMINISTERING QUESTIONNAIRES 345 is
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PROCESSING QUESTIONNAIRE DATA 347 B
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16 Interviews Introduction The use
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PURPOSES OF THE INTERVIEW 351 appli
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TYPES OF INTERVIEW 353 closed quant
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TYPES OF INTERVIEW 355 One can clus
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PLANNING INTERVIEW-BASED RESEARCH P
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GROUP INTERVIEWING 373 an intro
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INTERVIEWING CHILDREN 375 taking pl
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THE NON-DIRECTIVE INTERVIEW AND THE
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TELEPHONE INTERVIEWING 379 By mean
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TELEPHONE INTERVIEWING 381 questi
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ETHICAL ISSUES IN INTERVIEWING 383
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PROCEDURES IN ELICITING, ANALYSING
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PROCEDURES IN ELICITING, ANALYSING
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DISCOURSE ANALYSIS 389 completeness
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ACCOUNT GATHERING IN EDUCATIONAL RE
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STRENGTHS OF THE ETHOGENIC APPROACH
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A NOTE ON STORIES 395 instruments t
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INTRODUCTION 397 the physical s
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STRUCTURED OBSERVATION 399 Box 18.1
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STRUCTURED OBSERVATION 401 Box 18.2
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STRUCTURED OBSERVATION 403 or event
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NATURALISTIC AND PARTICIPANT OBSERV
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NATURALISTIC AND PARTICIPANT OBSERV
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ETHICAL CONSIDERATIONS 409 Box 18.3
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SOME CAUTIONARY COMMENTS 411 ob
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CONCLUSION 413 the data mean. This
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NORM-REFERENCED, CRITERION-REFERENC
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COMMERCIALLY PRODUCED TESTS AND RES
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CONSTRUCTING A TEST 419 achieveme
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CONSTRUCTING A TEST 421 Select the
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CONSTRUCTING A TEST 423 where A = t
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CONSTRUCTING A TEST 425 true/fal
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CONSTRUCTING A TEST 427 short-answe
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CONSTRUCTING A TEST 429 demonstrate
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CONSTRUCTING A TEST 431 (e.g. to as
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COMPUTERIZED ADAPTIVE TESTING 433 H
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20 Personal constructs Introduction
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ALLOTTING ELEMENTS TO CONSTRUCTS 43
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PROCEDURES IN GRID ANALYSIS 439 inv
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PROCEDURES IN GRID ANALYSIS 441 Box
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SOME EXAMPLES OF THE USE OF REPERTO
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GRID TECHNIQUE AND AUDIO/VIDEO LESS
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FOCUSED GRIDS, NON-VERBAL GRIDS, EX
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INTRODUCTION 449 Box 21.1 Dimension
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ROLE-PLAYING VERSUS DECEPTION: THE
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THE USES OF ROLE-PLAYING 453 of
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ROLE-PLAYING IN AN EDUCATIONAL SETT
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EVALUATING ROLE-PLAYING AND OTHER S
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22 Approaches to qualitative data a
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TABULATING DATA 463 data set reprod
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TABULATING DATA 465 Box 22.4 Studen
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FIVE WAYS OF ORGANIZING AND PRESENT
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SYSTEMATIC APPROACHES TO DATA ANALY
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SYSTEMATIC APPROACHES TO DATA ANALY
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METHODOLOGICAL TOOLS FOR ANALYSING
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23 Content analysis and grounded th
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HOW DOES CONTENT ANALYSIS WORK 477
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A WORKED EXAMPLE OF CONTENT ANALYSI
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A WORKED EXAMPLE OF CONTENT ANALYSI
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COMPUTER USAGE IN CONTENT ANALYSIS
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COMPUTER USAGE IN CONTENT ANALYSIS
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GROUNDED THEORY 491 data, thereby c
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GROUNDED THEORY 493 fragments are t
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INTERPRETATION IN QUALITATIVE DATA
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24 Quantitative data analysis Intro
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DESCRIPTIVE AND INFERENTIAL STATIST
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DEPENDENT AND INDEPENDENT VARIABLES
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EXPLORATORY DATA ANALYSIS: FREQUENC
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STATISTICAL SIGNIFICANCE 515 alongt
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STATISTICAL SIGNIFICANCE 517 hands
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HYPOTHESIS TESTING 519 selection fr
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EFFECT SIZE 521 differential measur
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EFFECT SIZE 523 Box 24.17 The Leven
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THE CHI-SQUARE TEST 525 The Effect
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DEGREES OF FREEDOM 527 Box 24.22 A2
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MEASURING ASSOCIATION 529 Box 24.23
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MEASURING ASSOCIATION 531 found and
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MEASURING ASSOCIATION 533 Box 24.26
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MEASURING ASSOCIATION 535 Many usef
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REGRESSION ANALYSIS 537 we know or
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REGRESSION ANALYSIS 539 Box 24.32 S
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REGRESSION ANALYSIS 541 Box 24.35 S
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MEASURES OF DIFFERENCE BETWEEN GROU
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25 Multidimensional measurement and
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FACTOR ANALYSIS 561 Box 25.1 Rank o
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FACTOR ANALYSIS 563 Box 25.3 The st
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FACTOR ANALYSIS 565 Box 25.5 Ascree
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FACTOR ANALYSIS 567 Box 25.7 The ro
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FACTOR ANALYSIS 569 The school
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FACTOR ANALYSIS: AN EXAMPLE 571 sco
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FACTOR ANALYSIS: AN EXAMPLE 573 Box
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FACTOR ANALYSIS: AN EXAMPLE 575 Box
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EXAMPLES OF STUDIES USING MULTIDIME
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MULTIDIMENSIONAL DATA: SOME WORDS O
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MULTIDIMENSIONAL DATA: SOME WORDS O
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MULTILEVEL MODELLING 583 Degrees of
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CLUSTER ANALYSIS 585 Box 25.22 Clus
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→ → → → HOW MANY SAMPLES 58
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HOW MANY SAMPLES 589 Box 26.4 Choos
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ASSUMPTIONS OF TESTS 591 Box 26.5 c
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Notes 1 THE NATURE OF INQUIRY - SET
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NOTES 595 Gender and Careers. Lewes
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NOTES 597 is widespread, indeed the
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Bibliography Acker, S. (1989) Teach
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BIBLIOGRAPHY 601 Bannister, D. and
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BIBLIOGRAPHY 603 Brenner, M., Brown
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BIBLIOGRAPHY 605 Cohen, L. and Holl
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BIBLIOGRAPHY 607 or case-based Euro
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BIBLIOGRAPHY 609 Fendler, L. (1999)
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BIBLIOGRAPHY 611 the Powerful in Ed
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BIBLIOGRAPHY 613 Hanna, G. S. (1993
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BIBLIOGRAPHY 615 Jones, S. (1987) T
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BIBLIOGRAPHY 617 IL: Bureau of Econ
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BIBLIOGRAPHY 619 McNiff, J., Lomax,
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BIBLIOGRAPHY 621 Morrison, K. R. B.
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BIBLIOGRAPHY 623 Patton, M. Q. (198
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BIBLIOGRAPHY 625 Muliak and J. H. S
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BIBLIOGRAPHY 627 Smith, M. L. and G
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BIBLIOGRAPHY 629 Thorne, B. (1994)
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BIBLIOGRAPHY 631 Whyte, W. F. (1993
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INDEX Absolutism 51, 61-2 Access 51
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INDEX 635 face validity see validit
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INDEX 637 qualitative research 19-2
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