Use Your Interview Data takes you through the essentials of managing, coding, and interpreting interview data so you have the overview needed to negotiate your data systematically and ensure you are not marked down for haphazard or ...
Author: Helen Kara
Interviews are often seen as a quick, cheap, and seemingly low-stress data collection method, but once students obtain data, they can be overwhelmed at the amount of information they have to manage, sort, and analyse, even if they only have a few participant responses. There are plenty of books on data management, coding, and analysis, but no student has time to read and internalize this much detail if a deadline is looming. Use Your Interview Data takes students through the essentials of managing, coding, and interpreting interview data so they have the overview needed to negotiate their data systematically and ensure they are not marked down for haphazard or incomplete interpretation. This Little Quick Fix provides students with the understanding and skills they need to manage, sort and analyse their interview data. Helen Kara’s overview enables students to negotiate their data systematically and give a complete interpretation for their research method assignment, essay or project. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design - whatever their methods learning is. Lively, ultra-modern design; full-colour, each page a tailored design. An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs - quick. Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff. Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor. Checkpoints in each section make sure students are nailing it as they go and support self-directed learning. How do I know I’m done? Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.
The authors emphasize the importance of cultural, contextual and personal influences on the sharing and unveiling of meaning. They also link qualitative interviewing techniques with theories of how people communicate meaning.
Author: Herbert J. Rubin
Publisher: SAGE Publications, Incorporated
Category: Social Science
This introduction to the theory and practice of qualitative interviewing shows researchers how to: design research based on interview data; stimulate conversation; absorb what is being said; and stimulate, analyze and present an informed description of the data. The authors emphasize the importance of cultural, contextual and personal influences on the sharing and unveiling of meaning. They also link qualitative interviewing techniques with theories of how people communicate meaning.
Author: Vishwanathan NarayananPublish On: 2020-05-08
A Complete Question Bank to Crack Your Interview Vishwanathan Narayanan ... on the different chart types available in Excel and how best you can use them for
creating different views of data, good graphics or visualizations for dashboards ...
Author: Vishwanathan Narayanan
Publisher: BPB Publications
Know Data science with numpy, pandas, scipy, sklearn DESCRIPTION “Data science and Machine learning interview questions using Python,” a book which is a true companion of people aspiring for data science and machine learning, and it provides answers to most asked questions in an easy to remember and presentable form. Book mainly intended to be used as last-minute revision, before the interview, as all the important concepts and various terminologies have been given in a very simple and understandable format. Many examples have been provided so that the same can be used while giving answers in an interview. The book is divided into six chapters, which starts with the Data Science Basic Questions and Terms then covers the questions related to Python Programming, Numpy, Pandas, Scipy, and its Applications, then at the last covers Matplotlib and Statistics with Excel Sheet. KEY FEATURES - Questions related to core/basic Python, Excel, basic and advanced statistics are included - Book will prove to be a companion whenever you want to go for an interview - Simple to use words have been used in the answers for the questions to help ease of remembering WHAT WILL YOU LEARN - You can learn the basic concept and terms related to Data Science, python programming - You will get to learn how to program in python, basics of Numpy - You will get familiarity with the questions asked in an interview related to Pandas and learn the concepts of Scipy, Matplotib, and Statistics with Excel Sheet WHO THIS BOOK IS FOR The book is mainly intended to help people represent their answer in a sensible way to the interviewer. The answers have been carefully rendered in a way to make things quite simple and yet represent the seriousness and complexity of the matter. Since data science is incomplete without mathematics, we have also included a part of the book dedicated to statistics. Table of Contents 1. Data Science Basic Questions and Terms 2. Python Programming Questions 3. Numpy Interview Questions 4. Pandas Interview Questions 5. Scipy and its Applications 6. Matplotlib Samples to Remember 7. Statistics with Excel Sheet
Number and percent distribution of conditions reported in medical records (
PVRS ) and in interviews , by question eliciting the response , according to ... Last
week or the week before did you take any medicine or treatment for any condition
Author: United States. Dept. of the Air ForcePublish On: 1975
The use of the checklist makes possible group administration to large samples of
job incumbents , thus making job requirements ... The main disadvantages are the time required to do the interviews and compile job requirements data , and the ...
Author: United States. Naval Training CommandPublish On: 1973
United States. Naval Training Command. Don't use questions that can be
answered in a yes or no fashion . ... Interviews should be on the tape ir the same
order as they are listed on the data • Don't use dates . Mention of specific dates
The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.
Author: Carl Auerbach
Publisher: NYU Press
Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research, and ending with planning and carrying out a qualitative research study. It provides an explicit, step-by-step procedure that will take the researcher from the raw text of interview data through data analysis and theory construction to the creation of a publishable work. The volume provides actual examples based on the authors' own work, including two published pieces in the appendix, so that readers can follow examples for each step of the process, from the project's inception to its finished product. The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.
This is a concise introduction to the richness and scope of interviewing in social science research, teaching the craft of interview research with practical, hands-on guidance.
Author: Svend Brinkmann
This is a concise introduction to the richness and scope of interviewing in social science research, teaching the craft of interview research with practical, hands-on guidance. Incorporating discussion of the wide variety of methods in interview-based research and the different approaches to reading the data, this book will help you to navigate the broad field of qualitative research with confidence and get out there and start collecting your data.
Author Felice D. Billups has used her experience as a qualitative researcher, and in teaching and advising students about qualitative research, to develop the templates in this book as a starting point for readers conducting original ...
Author: Felice D. Billups
Publisher: SAGE Publications
Category: Social Science
Qualitative Data Collection Tools is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data. An often-omitted subject in general qualitative textbooks, qualitative tools form the backbone of the data collection process. Students and new researchers are frequently left to create their own qualitative tools from scratch, an unnecessary hurdle in the qualitative research design process. Author Felice D. Billups has used her experience as a qualitative researcher, and in teaching and advising students about qualitative research, to develop the templates in this book as a starting point for readers conducting original qualitative research. The author briefly describes each method of data collection and offers readers suggestions for using and adapting the qualitative instrument templates within the text. Templates of interview protocols, focus group moderator guides, content analysis tools, document analysis tools, reflective questionnaires, diary and journal logs, and observational rubrics give the reader either a cut-and-paste solution for their own research or a starting point to design their own personalized qualitative tools. The first three chapters illuminate the qualitative data collection process and the role each type of qualitative tool plays in that process. The next six chapters provide detailed guides and numerous templates for each qualitative data collection method, covering interviews, focus groups, conversation and discourse analysis, observations, document analysis, field notes, journaling, and other reflective practices. A final chapter pulls together the multifaceted nature of qualitative research design and connects each tool back to the methodology to ensure trustworthiness and rigor in the data collection and instrument development process. Exemplars populate the appendices, offering readers concrete inspiration for ways to use and adapt the tools provided. If you have ever puzzled over how to best to design qualitative tools in order to guide and structure your qualitative data collection, or if you are embarking on your first qualitative study, Qualitative Data Collection Tools will give you a practical starting point to help make your qualitative data collection process easier and more organized.
Practical and hands-on, readers will be shown everything they need to prepare, how to do it quickly, and all the pitfalls to avoid. Packed with checklists, this is the foolproof solution to getting interview data quickly and effectively.
Author: Helen Kara
Interviews are the most common data collection instrument undergraduates turn to. No matter what discipline or level, someone in the course will be doing some interviews. They’re quick, cheap and students think they’re easy. The first two are true, but it’s more than just asking a list of questions. This Little Quick Fix lays out the basic how-to of choosing an interview as a method for a project or dissertation, and how to do it well enough so students aren’t docked marks for poor or irrelevant data. Practical and hands-on, readers will be shown everything they need to prepare, how to do it quickly, and all the pitfalls to avoid. Packed with checklists, this is the foolproof solution to getting interview data quickly and effectively. Perfect for undergraduates who need to do this in a week or two. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design - whatever their methods learning is. Lively, ultra-modern design; full-colour, each page a tailored design. An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs - quick. Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff. Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor. Checkpoints in each section make sure students are nailing it as they go and support self-directed learning. How do I know I’m done? Each Little Quick Fix wraps up with a final checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.
The book that has been a resource and training tool for countless applied researchers, evaluators, and graduate students has been completely revised with hundreds of new examples and stories illuminating all aspects of qualitative inquiry.
Author: Michael Quinn Patton
The book that has been a resource and training tool for countless applied researchers, evaluators, and graduate students has been completely revised with hundreds of new examples and stories illuminating all aspects of qualitative inquiry. Patton has created the most comprehensive, systematic and up-to-date review of qualitative methods available. Patton has retained and expanded upon the Exhibits that highlight and summarize major issues and guidelines, the summative sections, tables, and figures as well as the sage advice of the Sufi Master, Halcolm. This revision will help readers integrate and make sense of the great volume of qualitative works published in the past decade.
During the actual interview , there are some things that you can do to increase
the chances of gathering useful data . Gay and Airasian ( 2003 ) ... Your choice
here depends on how you want to use your interview data . There are times when
Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question.
Author: W. Paul Vogt
Publisher: Guilford Press
Category: Social Science
Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data. Useful features include: *Easy-to-navigate part and chapter structure. *Engaging research examples from a variety of fields. *End-of-chapter tables that summarize the main points covered. *Detailed suggestions for further reading at the end of each chapter. *Integration of data collection, sampling, and research ethics in one volume. *Comprehensive glossary. See also Vogt et al.'s Selecting the Right Analyses for Your Data, which addresses the next steps in coding, analyzing, and interpreting data.
... data . First , if you wish to interview participants individually , the process of interviewing , transcribing the interviews , and ... If you will use interviewing as a
method for collecting inquiry data in your study , there are several steps to take in the ...
Author: Cher Hendricks
Publisher: Allyn & Bacon
This compact, clear and user-friendly text provides everything a pre-service or in-service teacher needs to know to follow the research cycle and conduct an action research project. This text emphasizes reflective processes used in planning and conducting action research studies, data analysis techniques (quantitative and qualitative), and displaying and explaining results. It provides specific information needed to complete each step of the action research cycle with chapter activities that help the student/reader conduct projects focused on school improvement. Each activity includes a research paper component that helps students create a research paper as they complete the activities in each chapter. This text has more emphasis on reflective and reflexive activities than other text and is geared toward adults/professionals who will use these activites to conduct action research for educational change and school improvement.
`Overall, I consider this work to be a valuable resource for teachers and students of research, as well as researchers who want to extend or refine their skills′ - Qualitative Research Journal Through the use of exercises this book helps ...
Author: Valerie J. Janesick
Category: Health & Fitness
`Overall, I consider this work to be a valuable resource for teachers and students of research, as well as researchers who want to extend or refine their skills′ - Qualitative Research Journal Through the use of exercises this book helps readers develop the skills necessary to become an effective qualitative researcher. This edition includes new chapters on the analysis and interpretation of qualitative data and narrative techniques, including coverage of autobiography, biography, and life history as viable approaches to understanding the social world.
This book is an ideal guide for students, practitioners and researchers faced with the challenges of doing qualitative research in both applied and academic settings in messy real-life contexts.
Author: Jane Ritchie
Why use qualitative methods? What kinds of questions can qualitative methods help you answer? How do you actually do rigorous and reflective qualitative research in the real world? Written by a team of leading researchers associated with NatCen Social Research (the National Centre for Social Research) this textbook leads students and researchers through the entire process of qualitative research from beginning to end - moving through design, sampling, data collection, analysis and reporting. In this fully revised second edition you will find: A practical account of how to carry out qualitative research which recognises a range of current approaches and applications A brand new chapter on ethics A brand new chapter on observational research Updated advice on using software when analysing your qualitative data New case studies which illustrate issues you may encounter and how problems have been tackled by other researchers. This book is an ideal guide for students, practitioners and researchers faced with the challenges of doing qualitative research in both applied and academic settings in messy real-life contexts.
Learning From Strangers is the definitive work on qualitative research interviewing. It draws on Robert Weiss's thirty years of experience in interviewing and teaching others how to do it.
Author: Robert S. Weiss
Publisher: Simon and Schuster
Category: Social Science
Learning From Strangers is the definitive work on qualitative research interviewing. It draws on Robert Weiss's thirty years of experience in interviewing and teaching others how to do it. The most effective interviews, says Weiss, rely on creating cooperation -- an open and trusting alliance between interviewer and respondent, dedicated to specific and honest accounts of both internal and external events. Against the eclectic background of his work in national sample surveys, studies based on semi-structured interviewing, and participant observation, Weiss walks the reader through the method of qualitative interview studies: sample selection, development of an interview guide, the conduct of the interview, analysis, and preparation of the data. Weiss gives examples of successful and less successful interviews and offers specific techniques and guidelines for the practitioner.
Introduction 1 What do we mean by 'research'? 4 The characteristics of research 4 Why undertake research? 5 The different types of research 6 Pure and applied research 7 Primary and secondary research 8 Theoretical and empirical research 8 ...
Author: Chris Gratton
Publisher: Psychology Press
Category: Social Science
Introduction 1 What do we mean by 'research'? 4 The characteristics of research 4 Why undertake research? 5 The different types of research 6 Pure and applied research 7 Primary and secondary research 8 Theoretical and empirical research 8 Some misconceptions about research 8 Understanding sports research 9 How to read research 10 Summary 12 Further reading 13 Introduction 14 The nature of knowledge 15 Quantitative and qualitative research 21 The growth of qualitative research in sport studies 23 Choosing quantitative or qualitative approaches 25 Mixing quantitative and qualitative data 25 Deductive and inductive research 26 Two broad research traditions 27 What approaches are suitable for my research? 28 Summary 29 Introduction 31 The research process 31 Summary 36 Further reading 37 38 Introduction 38 Coming up with a research topic 39 Focusing your research question 41 Writing a research proposal 47 Weaknesses in research proposals 47 Summary 48 Introduction 50 Purposes of the literature review 51 Sources of literature 52 Finding the literature 54 Focusing your literature search 56 Assessing the literature 58 How do I know when I have collected enough literature? 59 How should I write up the literature review? 59 How do I reference other authors? 62 Maintaining your references 65 Structuring your literature review 65 Relating your literature review to your research question 66 Mistakes often made in the literature review 67 Identifying secondary data 67 Summary 69 Introduction 71 Theories and theoretical frameworks 72 Considering your approach 73 How do I know which theory to use? 75 Concepts and conceptual frameworks 76 Reliability and validity 85 The relationship between reliability and validity 88 Summary 89 Introduction 91 Experimental designs 92 Cross-sectional/survey designs 94 Time series designs 95 Longitudinal designs 96 Case study research 97 Grounded theory designs 99 Ethnographic designs 99 Sampling issues 99 Selecting a sample 100 Non-response bias 102 Non-probability sampling methods 103 Mistakes made in selecting a sample 104 Determining the sample size 104 Case study or ethnographic sampling 106 What methods should I use to collect data from my sample? 107 Triangulation of data 108 Combining quantitative and qualitative approaches 109 Ethical considerations in research design 110 Summary 113 Introduction 115 When is the use of a questionnaire appropriate? 116 Advantages of the questionnaire survey 117 Disadvantages of the postal questionnaire 118 Designing your questionnaire 118 What types of question can I ask? 119 Should I use existing questions or scales or develop my own? 124 Ordering the questionnaire 125 Problems in questionnaire design 125 Piloting the questionnaire 127 Increasing your response rate 132 The covering letter 133 Administering the questionnaire 135 Following up non-respondents 137 Summary 138 Further reading 139 Introduction 140 When is interviewing appropriate? 140 The different types of interview 141 Advantages of the interview method 142 Disadvantages of the interview method 143 Designing the interview schedule 144 Carrying out the interview 145 Motivating the informant 146 Probing 147 Asking sensitive questions 147 Recording the interview 148 Reliability and validity of the interview 150 The telephone interview 152 Interviews and sample size 153 The key informant interview 154 Focus groups 154 Summary 156 Further reading 157 Introduction 158 Advantages of unobtrusive methods 159 Disadvantages of unobtrusive methods 159 Observation and participant observation 159 When is observation appropriate? 160 Advantages of observational methods 163 Disadvantages of observational methods 163 Carrying out an observational study 164 Recording data 165 Mistakes made in observational studies 167 Content analysis 167 Mistakes made in content analysis 172 Summary 172 Further reading 174 Introduction 175 Characteristics of an ethnography 178 Undertaking a sports ethnography 180 Ethnographic methods 185 Experiential ethnography 187 Writing the ethnography 188 Issues of validity and reliability 188 Ethnography and student research 189 Summary 189 Further reading 191 Introduction 192 The use of computer software in quantitative analysis 193 Data preparation 194 Using SPSS for Windows 196 Analysing data using SPSS for Windows 198 Analysing your data 199 Descriptive statistics 199 Presenting descriptive statistics 202 Inferential statistics 206 Interpreting the results 206 Tests of association 208 Testing differences 210 Which test should I use? 214 A final word on statistics 215 Summary 215 Further reading 216 Introduction 217 Stages of qualitative analysis 218 Coding qualitative data 219 Stages of data coding 220 Maximising the validity and reliability of your data 221 What should I look for when I have coded my data? 222 Using raw data to support your analysis 223 Computer analysis and qualitative data 225 Member validation of qualitative analysis 226 Summary 226 Further reading 227 Introduction 228 Writing the research report 229 Structuring the research report 231 Language and writing style 239 Assessing your own research report 239 The oral presentation of your research 244 Summary 246 Introduction 248 What is the Internet? 249 Searching the Internet 249 Assessing web sites 251 Internet resources 252 A final word on the Internet 254 Summary 254 Further reading 255 Introduction 256 The types of student research 256 Initial considerations 258 What characterises a good piece of student research? 258 Originality and generalisability 260 The research time scale 260 Gaining collaboration and access 261 The role of your tutor 263 Common faults in student research 266 Summary 267 Further reading 268.