Scientific methods for the humanities /:
Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam, Netherlands ; /Philadelphia, PA :
John Benjamins Pub.,
2012.
|
| Schriftenreihe: | Linguistic approaches to literature ;
v. 13. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to de. |
| Beschreibung: | 1 online resource (xxii, 328 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789027274670 9027274673 9027233489 9789027233486 9789027233479 9027233470 |
Internformat
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| 100 | 1 | |a Peer, Willie van. |0 http://id.loc.gov/authorities/names/n86141974 | |
| 245 | 1 | 0 | |a Scientific methods for the humanities / |c Willie van Peer, Frank Hakemulder, Sonia Zyngier. |
| 260 | |a Amsterdam, Netherlands ; |a /Philadelphia, PA : |b John Benjamins Pub., |c 2012. | ||
| 300 | |a 1 online resource (xxii, 328 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 380 | |a Bibliography | ||
| 490 | 1 | |a Linguistic approaches to literature ; |v . v. 13 | |
| 505 | 0 | |a Scientific Methods for the Humanities; Editorial page; Title page; LCC data; Dedicationpage; Table of contents; List of Figures, Tables and Graphs; Acknowledgements; Foreword; A new beginning; 1.1 Understanding versus explaining; 1.2 Some problems; 1.3 Two cultures?; 1.4 The scientific study of meaning; 1.5 A visit to Wundt's laboratory; 1.6 The Wundt curve; 1.7 Empirical aesthetics; 1.8 The Clockwork Muse; 1.9 Complexity; 1.10 Why methodology?; Assignment; To be carried out before turning to chapter two; Some misconceptions about scientific and empirical research of culture. | |
| 505 | 8 | |a Basic insights from the philosophy of science2.1 The word 'science'; 2.2 Motion; 2.3 Foundations; 2.4 Contradictions; 2.5 Predictions; 2.6 An experiment; 2.7 Comparison of theories; 2.8 Critique; 2.9 White swans, black swans; 2.10 A three-stage model; 2.11 Immune theories; 2.12 The truth?; 2.13 Research, an example; 2.14 Conclusion; Research methodology and design; 3.1 Against monomethodology; 3.2 Making a plan for research; 3.2.1 Step 1; 3.2.2 Step 2; 3.2.3 Step 3; 3.2.4 Step 4; 3.2.5 Step 5; 3.3 Laying out your conceptual model; 3.3.1 Step 6; 3.4 A study of the literature; 3.4.1 Make a plan. | |
| 505 | 8 | |a 3.4.2 Look for sources3.4.3 PsycINFO; 3.4.4 Evaluation; Methods of data collection; 4.1 Introduction; 4.2 Observation research; 4.2.1 Deciding on the type of observation research; 4.2.2 Degree of researcher involvement; 4.2.3 Reduce subject interactivity; 4.2.4 How to avoid observer bias; 4.3 Stages in the research; 4.4 Think-aloud protocols; 4.5 Diary; 4.6 Interview; 4.7 Focus groups; 4.8 Experiment; 4.9 Content analysis; 4.10 Survey; 4.10.1 Cross-section study; 4.10.2 Panel study; 4.10.3 Trend studies; 4.10.4 Cohort studies; 4.11 What is next?; 4.12 Other sources; 4.12.1 Observations. | |
| 505 | 8 | |a 4.12.2 Electronic texts4.12.3 Concordances; 4.12.4 Analyzing qualitative research material; How to construct a questionnaire; 5.1 Introduction; 5.2 Levels of measurement; 5.3 Types of questions; 5.3.1 Checklist; 5.3.2 Multiple choice; 5.3.3 Graphic rating scale; 5.3.4 Itemized rating scale; 5.3.5 Rank-order rating scale; 5.3.6 Constant-sum rating scale and fractionation rating scale; 5.3.7 Likert scale; 5.3.8 Semantic differential scales; 5.4 How to formulate a question?; 5.5 Questionnaire design; 5.6 Instruction; 5.7 Layout; 5.8 Procedure; Experiment; 6.1 Introduction. | |
| 505 | 8 | |a 6.2 Independent and dependent variables6.3 Designs; 6.3.1 Between-subjects designs; 6.3.2 Within-subjects designs; 6.4 Building an experimental design; 6.4.1 Extending on the classical experimental design; 6.4.2 Doing the 'next best thing'; 6.5 Control groups; 6.6 Estimating validity; 6.6.1 Internal validity; 6.6.2 External validity; How to enter and manipulate data in SPSS; 7.1 Why use a computer program?; 7.2 Start SPSS; 7.3 Preparing the Variable View; 7.4 Entering the data in data view; 7.5 Manipulating data; 7.5.1 Compute: making new variables based on your data. | |
| 520 | |a Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to de. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 650 | 0 | |a Science and the humanities. |0 http://id.loc.gov/authorities/subjects/sh85118626 | |
| 650 | 0 | |a Interdisciplinary approach to knowledge. |0 http://id.loc.gov/authorities/subjects/sh85067232 | |
| 650 | 0 | |a Humanities |x Philosophy. | |
| 650 | 0 | |a Science |x Philosophy. |0 http://id.loc.gov/authorities/subjects/sh85118582 | |
| 650 | 6 | |a Sciences et sciences humaines. | |
| 650 | 6 | |a Interdisciplinarité. | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a Humanities |x Philosophy |2 fast | |
| 650 | 7 | |a Interdisciplinary approach to knowledge |2 fast | |
| 650 | 7 | |a Science and the humanities |2 fast | |
| 650 | 7 | |a Science |x Philosophy |2 fast | |
| 650 | 1 | 7 | |a Humaniora. |2 gtt |
| 650 | 1 | 7 | |a Methodologie. |2 gtt |
| 650 | 1 | 7 | |a Wetenschappelijke technieken. |2 gtt |
| 700 | 1 | |a Hakemulder, Jèmeljan, |d 1966- |1 https://id.oclc.org/worldcat/entity/E39PCjFbYKHVWJXgGqXKd4R64y |0 http://id.loc.gov/authorities/names/n95115480 | |
| 700 | 1 | |a Zyngier, Sonia. |0 http://id.loc.gov/authorities/names/n2006045486 | |
| 758 | |i has work: |a Scientific methods for the humanities (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGKD6vywXdXMgHBXFgWyQy |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Peer, Willie van. |t Scientific methods for the humanities. |d Amsterdam, Netherlands ; Philadelphia, PA : John Benjamins Pub., 2012 |z 9789027233479 |w (DLC) 2012002714 |w (OCoLC)774021247 |
| 830 | 0 | |a Linguistic approaches to literature ; |v v. 13. |0 http://id.loc.gov/authorities/names/n2002038656 | |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=456521 |3 Volltext |
| 880 | 0 | 0 | |6 505-00/(S |t A new beginning -- |g 1.1. |t Understanding versus explaining -- |g 1.2. |t Some problems -- |g 1.3. |t Two cultures-- |g 1.4. |t The scientific study of meaning -- |g 1.5. |t A visit to Wundt's laboratory -- |g 1.6. |t The Wundt curve -- |g 1.7. |t Empirical aesthetics -- |g 1.8. |t The Clockwork Muse -- |g 1.9. |t Complexity -- |g 1.10. |t Why methodology-- |t Assignment -- |t To be carried out before turning to chapter two -- |t Some misconceptions about scientific and empirical research of culture -- |t Basic insights from the philosophy of science -- |g 2.1. |t The word 'science' -- |g 2.2. |t Motion -- |g 2.3. |t Foundations -- |g 2.4. |t Contradictions -- |g 2.5. |t Predictions -- |g 2.6. |t An experiment -- |g 2.7. |t Comparison of theories -- |g 2.8. |t Critique -- |g 2.9. |t White swans, black swans -- |g 2.10. |t A three-stage model -- |g 2.11. |t Immune theories -- |g 2.12. |t The truth-- |g 2.13. |t Research, an example -- |g 2.14. |t Conclusion -- |t Research methodology and design -- |g 3.1. |t Against monomethodology -- |g 3.2. |t Making a plan for research -- |g 3.2.1. |t Step 1 -- |g 3.2.2. |t Step 2 -- |g 3.2.3. |t Step 3 -- |g 3.2.4. |t Step 4 -- |g 3.2.5. |t Step 5 -- |g 3.3. |t Laying out your conceptual model -- |g 3.3.1. |t Step 6 -- |g 3.4. |t A study of the literature -- |g 3.4.1. |t Make a plan -- |g 3.4.2. |t Look for sources -- |g 3.4.3. |t PsycINFO -- |g 3.4.4. |t Evaluation -- |t Methods of data collection -- |g 4.1. |t Introduction -- |g 4.2. |t Observation research -- |g 4.2.1. |t Deciding on the type of observation research -- |g 4.2.2. |t Degree of researcher involvement -- |g 4.2.3. |t Reduce subject interactivity -- |g 4.2.4. |t How to avoid observer bias -- |g 4.3. |t Stages in the research -- |g 4.4. |t Think-aloud protocols -- |g 4.5. |t Diary -- |g 4.6. |t Interview -- |g 4.7. |t Focus groups -- |g 4.8. |t Experiment -- |g 4.9. |t Content analysis -- |g 4.10. |t Survey -- |g 4.10.1. |t Cross-section study -- |g 4.10.2. |t Panel study -- |g 4.10.3. |t Trend studies -- |g 4.10.4. |t Cohort studies -- |g 4.11. |t What is next-- |g 4.12. |t Other sources -- |g 4.12.1. |t Observations -- |g 4.12.2. |t Electronic texts -- |g 4.12.3. |t Concordances -- |g 4.12.4. |t Analyzing qualitative research material -- |t How to construct a questionnaire -- |g 5.1. |t Introduction -- |g 5.2. |t Levels of measurement -- |g 5.3. |t Types of questions -- |g 5.3.1. |t Checklist -- |g 5.3.2. |t Multiple choice -- |g 5.3.3. |t Graphic rating scale -- |g 5.3.4. |t Itemized rating scale -- |g 5.3.5. |t Rank-order rating scale -- |g 5.3.6. |t Constant-sum rating scale and fractionation rating scale -- |g 5.3.7. |t Likert scale -- |g 5.3.8. |t Semantic differential scales -- |g 5.4. |t How to formulate a question-- |g 5.5. |t Questionnaire design -- |g 5.6. |t Instruction -- |g 5.7. |t Layout -- |g 5.8. |t Procedure -- |t Experiment -- |g 6.1. |t Introduction -- |g 6.2. |t Independent and dependent variables -- |g 6.3. |t Designs -- |g 6.3.1. |t Between-subjects designs -- |g 6.3.2. |t Within-subjects designs -- |g 6.4. |t Building an experimental design -- |g 6.4.1. |t Extending on the classical experimental design -- |g 6.4.2. |t Doing the 'next best thing' -- |g 6.5. |t Control groups -- |g 6.6. |t Estimating validity -- |g 6.6.1. |t Internal validity -- |g 6.6.2. |t External validity -- |t How to enter and manipulate data in SPSS -- |g 7.1. |t Why use a computer program-- |g 7.2. |t Start SPSS -- |g 7.3. |t Preparing the Variable View -- |g 7.4. |t Entering the data in data view -- |g 7.5. |t Manipulating data -- |g 7.5.1. |t Compute: making new variables based on your data -- |g 7.5.2. |t Recode: changing the values of your variables -- |g 7.5.3. |t Select Cases: doing analyses on a subset of your data -- |g 7.6. |t Closing SPSS -- |t Descriptive statistics -- |g 8.1. |t Two measures of descriptive statistics -- |g 8.2. |t Measures of central tendency -- |g 8.3. |t Measures of dispersion -- |g 8.4. |t The normal distribution -- |g 8.5. |t Two distributions -- |g 8.6. |t Descriptive statistics with spss -- |g 8.7. |t Cronbach's α -- |g 8.8. |t Graphs -- |g 8.8.1. |t Bar charts -- |g 8.8.2. |t Line graph -- |g 8.8.3. |t Boxplots -- |g 8.9. |t Final words -- |t Inference Statistics -- |g 9.1. |t Introduction -- |g 9.2. |t Errors -- |g 9.3. |t Region of rejection -- |g 9.4. |t Regression analysis -- |g 9.5. |t Correlations -- |g 9.6. |t Outlook -- |t Inference statistics -- |g 10.1. |t Which test(s) to choose-- |g 10.2. |t t-test -- |g 10.3. |t Wilcoxon test for paired samples -- |g 10.4. |t Mann-whitney ('U-Test') for independent samples -- |g 10.5. |t The Kruskal-Wallis test -- |g 10.6. |t Non-parametric tests for related samples -- |g 10.7. |t Crosstabs -- |g 10.8. |t Overview -- |t Inference statistics -- |g 11.1. |t Analysis of variance -- |g 11.2. |t General Linear Model -- |g 11.3. |t Repeated measures -- |g 11.4. |t Conclusion -- |t Communicating results -- |g 12.1. |t Oral presentations -- |g 12.1.1. |t Submitting an abstract -- |g 12.1.2. |t Presenting yourself -- |g 12.1.3. |t Organizational aspects -- |g 12.1.4. |t Preparing a script -- |g 12.1.5. |t Speaking to an audience -- |g 12.1.6. |t Discussion time -- |g 12.1.7. |t Using media -- |g 12.2. |t Written presentations -- |g 12.2.1. |t Where to publish -- |g 12.2.2. |t Structuring your paper -- |g 12.2.2.1. |t Title page -- |g 12.2.2.2. |t Keywords -- |g 12.2.2.3. |t Abstract -- |g 12.2.2.4. |t Introduction -- |g 12.2.2.5. |t Method -- |g 12.2.2.6. |t Results -- |g 12.2.2.7. |t Discussion -- |g 12.2.3. |t Where to begin -- |g 12.2.4. |t Some stylistic reminders -- |g 12.2.4.1. |t Pronouns -- |g 12.2.4.2. |t Markers -- |g 12.2.4.3. |t Gender -- |g 12.2.4.4. |t Politeness -- |g 12.2.4.5. |t Tone -- |g 12.2.5. |t Sources and citing -- |g 12.2.5.1. |t Citing sources APA style -- |g 12.2.5.2. |t Citing sources MLA style -- |g 12.2.6. |t Some words of caution -- |g 12.2.7. |t Final checklist before submitting -- |g 12.2.8. |t Submitting your paper -- |g 12.3. |t Poster sessions -- |g 12.3.1. |t Preparations -- |g 12.3.2. |t Graphs, tables, illustrations -- |g 12.3.3. |t The text -- |g 12.3.4. |t Making the poster -- |g 12.4. |t Final words -- |t Epilogue. |
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| DE-BY-FWS_katkey | ZDB-4-EBA-ocn793996607 |
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| _version_ | 1816881795069640704 |
| adam_text | |
| any_adam_object | |
| author | Peer, Willie van |
| author2 | Hakemulder, Jèmeljan, 1966- Zyngier, Sonia |
| author2_role | |
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| author_GND | http://id.loc.gov/authorities/names/n86141974 http://id.loc.gov/authorities/names/n95115480 http://id.loc.gov/authorities/names/n2006045486 |
| author_facet | Peer, Willie van Hakemulder, Jèmeljan, 1966- Zyngier, Sonia |
| author_role | |
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| callnumber-label | AZ361 |
| callnumber-raw | AZ361 .P44 2012 |
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| callnumber-subject | AZ - History of Scholarship |
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| contents | Scientific Methods for the Humanities; Editorial page; Title page; LCC data; Dedicationpage; Table of contents; List of Figures, Tables and Graphs; Acknowledgements; Foreword; A new beginning; 1.1 Understanding versus explaining; 1.2 Some problems; 1.3 Two cultures?; 1.4 The scientific study of meaning; 1.5 A visit to Wundt's laboratory; 1.6 The Wundt curve; 1.7 Empirical aesthetics; 1.8 The Clockwork Muse; 1.9 Complexity; 1.10 Why methodology?; Assignment; To be carried out before turning to chapter two; Some misconceptions about scientific and empirical research of culture. Basic insights from the philosophy of science2.1 The word 'science'; 2.2 Motion; 2.3 Foundations; 2.4 Contradictions; 2.5 Predictions; 2.6 An experiment; 2.7 Comparison of theories; 2.8 Critique; 2.9 White swans, black swans; 2.10 A three-stage model; 2.11 Immune theories; 2.12 The truth?; 2.13 Research, an example; 2.14 Conclusion; Research methodology and design; 3.1 Against monomethodology; 3.2 Making a plan for research; 3.2.1 Step 1; 3.2.2 Step 2; 3.2.3 Step 3; 3.2.4 Step 4; 3.2.5 Step 5; 3.3 Laying out your conceptual model; 3.3.1 Step 6; 3.4 A study of the literature; 3.4.1 Make a plan. 3.4.2 Look for sources3.4.3 PsycINFO; 3.4.4 Evaluation; Methods of data collection; 4.1 Introduction; 4.2 Observation research; 4.2.1 Deciding on the type of observation research; 4.2.2 Degree of researcher involvement; 4.2.3 Reduce subject interactivity; 4.2.4 How to avoid observer bias; 4.3 Stages in the research; 4.4 Think-aloud protocols; 4.5 Diary; 4.6 Interview; 4.7 Focus groups; 4.8 Experiment; 4.9 Content analysis; 4.10 Survey; 4.10.1 Cross-section study; 4.10.2 Panel study; 4.10.3 Trend studies; 4.10.4 Cohort studies; 4.11 What is next?; 4.12 Other sources; 4.12.1 Observations. 4.12.2 Electronic texts4.12.3 Concordances; 4.12.4 Analyzing qualitative research material; How to construct a questionnaire; 5.1 Introduction; 5.2 Levels of measurement; 5.3 Types of questions; 5.3.1 Checklist; 5.3.2 Multiple choice; 5.3.3 Graphic rating scale; 5.3.4 Itemized rating scale; 5.3.5 Rank-order rating scale; 5.3.6 Constant-sum rating scale and fractionation rating scale; 5.3.7 Likert scale; 5.3.8 Semantic differential scales; 5.4 How to formulate a question?; 5.5 Questionnaire design; 5.6 Instruction; 5.7 Layout; 5.8 Procedure; Experiment; 6.1 Introduction. 6.2 Independent and dependent variables6.3 Designs; 6.3.1 Between-subjects designs; 6.3.2 Within-subjects designs; 6.4 Building an experimental design; 6.4.1 Extending on the classical experimental design; 6.4.2 Doing the 'next best thing'; 6.5 Control groups; 6.6 Estimating validity; 6.6.1 Internal validity; 6.6.2 External validity; How to enter and manipulate data in SPSS; 7.1 Why use a computer program?; 7.2 Start SPSS; 7.3 Preparing the Variable View; 7.4 Entering the data in data view; 7.5 Manipulating data; 7.5.1 Compute: making new variables based on your data. |
| ctrlnum | (OCoLC)793996607 |
| dewey-full | 001.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.3 |
| dewey-search | 001.3 |
| dewey-sort | 11.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines |
| format | Electronic eBook |
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:</subfield><subfield code="b">John Benjamins Pub.,</subfield><subfield code="c">2012.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xxii, 328 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">data file</subfield><subfield code="2">rda</subfield></datafield><datafield tag="380" ind1=" " ind2=" "><subfield code="a">Bibliography</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Linguistic approaches to literature ;</subfield><subfield code="v">. v. 13</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Scientific Methods for the Humanities; Editorial page; Title page; LCC data; Dedicationpage; Table of contents; List of Figures, Tables and Graphs; Acknowledgements; Foreword; A new beginning; 1.1 Understanding versus explaining; 1.2 Some problems; 1.3 Two cultures?; 1.4 The scientific study of meaning; 1.5 A visit to Wundt's laboratory; 1.6 The Wundt curve; 1.7 Empirical aesthetics; 1.8 The Clockwork Muse; 1.9 Complexity; 1.10 Why methodology?; Assignment; To be carried out before turning to chapter two; Some misconceptions about scientific and empirical research of culture.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Basic insights from the philosophy of science2.1 The word 'science'; 2.2 Motion; 2.3 Foundations; 2.4 Contradictions; 2.5 Predictions; 2.6 An experiment; 2.7 Comparison of theories; 2.8 Critique; 2.9 White swans, black swans; 2.10 A three-stage model; 2.11 Immune theories; 2.12 The truth?; 2.13 Research, an example; 2.14 Conclusion; Research methodology and design; 3.1 Against monomethodology; 3.2 Making a plan for research; 3.2.1 Step 1; 3.2.2 Step 2; 3.2.3 Step 3; 3.2.4 Step 4; 3.2.5 Step 5; 3.3 Laying out your conceptual model; 3.3.1 Step 6; 3.4 A study of the literature; 3.4.1 Make a plan.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.4.2 Look for sources3.4.3 PsycINFO; 3.4.4 Evaluation; Methods of data collection; 4.1 Introduction; 4.2 Observation research; 4.2.1 Deciding on the type of observation research; 4.2.2 Degree of researcher involvement; 4.2.3 Reduce subject interactivity; 4.2.4 How to avoid observer bias; 4.3 Stages in the research; 4.4 Think-aloud protocols; 4.5 Diary; 4.6 Interview; 4.7 Focus groups; 4.8 Experiment; 4.9 Content analysis; 4.10 Survey; 4.10.1 Cross-section study; 4.10.2 Panel study; 4.10.3 Trend studies; 4.10.4 Cohort studies; 4.11 What is next?; 4.12 Other sources; 4.12.1 Observations.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.12.2 Electronic texts4.12.3 Concordances; 4.12.4 Analyzing qualitative research material; How to construct a questionnaire; 5.1 Introduction; 5.2 Levels of measurement; 5.3 Types of questions; 5.3.1 Checklist; 5.3.2 Multiple choice; 5.3.3 Graphic rating scale; 5.3.4 Itemized rating scale; 5.3.5 Rank-order rating scale; 5.3.6 Constant-sum rating scale and fractionation rating scale; 5.3.7 Likert scale; 5.3.8 Semantic differential scales; 5.4 How to formulate a question?; 5.5 Questionnaire design; 5.6 Instruction; 5.7 Layout; 5.8 Procedure; Experiment; 6.1 Introduction.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.2 Independent and dependent variables6.3 Designs; 6.3.1 Between-subjects designs; 6.3.2 Within-subjects designs; 6.4 Building an experimental design; 6.4.1 Extending on the classical experimental design; 6.4.2 Doing the 'next best thing'; 6.5 Control groups; 6.6 Estimating validity; 6.6.1 Internal validity; 6.6.2 External validity; How to enter and manipulate data in SPSS; 7.1 Why use a computer program?; 7.2 Start SPSS; 7.3 Preparing the Variable View; 7.4 Entering the data in data view; 7.5 Manipulating data; 7.5.1 Compute: making new variables based on your data.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to de.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Science and the humanities.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85118626</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Interdisciplinary approach to knowledge.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85067232</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Humanities</subfield><subfield code="x">Philosophy.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Science</subfield><subfield code="x">Philosophy.</subfield><subfield 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tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Scientific methods for the humanities (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCGKD6vywXdXMgHBXFgWyQy</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Peer, Willie van.</subfield><subfield code="t">Scientific methods for the humanities.</subfield><subfield code="d">Amsterdam, Netherlands ; Philadelphia, PA : John Benjamins Pub., 2012</subfield><subfield code="z">9789027233479</subfield><subfield code="w">(DLC) 2012002714</subfield><subfield code="w">(OCoLC)774021247</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Linguistic approaches to literature ;</subfield><subfield code="v">v. 13.</subfield><subfield code="0">http://id.loc.gov/authorities/names/n2002038656</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=456521</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="880" ind1="0" ind2="0"><subfield code="6">505-00/(S</subfield><subfield code="t">A new beginning --</subfield><subfield code="g">1.1.</subfield><subfield code="t">Understanding versus explaining --</subfield><subfield code="g">1.2.</subfield><subfield code="t">Some problems --</subfield><subfield code="g">1.3.</subfield><subfield code="t">Two cultures--</subfield><subfield code="g">1.4.</subfield><subfield code="t">The scientific study of meaning --</subfield><subfield code="g">1.5.</subfield><subfield code="t">A visit to Wundt's laboratory --</subfield><subfield code="g">1.6.</subfield><subfield code="t">The Wundt curve --</subfield><subfield code="g">1.7.</subfield><subfield code="t">Empirical aesthetics --</subfield><subfield code="g">1.8.</subfield><subfield code="t">The Clockwork Muse --</subfield><subfield code="g">1.9.</subfield><subfield code="t">Complexity --</subfield><subfield code="g">1.10.</subfield><subfield code="t">Why methodology--</subfield><subfield code="t">Assignment --</subfield><subfield code="t">To be carried out before turning to chapter two --</subfield><subfield code="t">Some misconceptions about scientific and empirical research of culture --</subfield><subfield code="t">Basic insights from the philosophy of science --</subfield><subfield code="g">2.1.</subfield><subfield code="t">The word 'science' --</subfield><subfield code="g">2.2.</subfield><subfield code="t">Motion --</subfield><subfield code="g">2.3.</subfield><subfield code="t">Foundations --</subfield><subfield code="g">2.4.</subfield><subfield code="t">Contradictions --</subfield><subfield code="g">2.5.</subfield><subfield code="t">Predictions --</subfield><subfield code="g">2.6.</subfield><subfield code="t">An experiment --</subfield><subfield code="g">2.7.</subfield><subfield code="t">Comparison of theories --</subfield><subfield code="g">2.8.</subfield><subfield code="t">Critique --</subfield><subfield code="g">2.9.</subfield><subfield code="t">White swans, black swans --</subfield><subfield code="g">2.10.</subfield><subfield code="t">A three-stage model --</subfield><subfield code="g">2.11.</subfield><subfield code="t">Immune theories --</subfield><subfield code="g">2.12.</subfield><subfield code="t">The truth--</subfield><subfield code="g">2.13.</subfield><subfield code="t">Research, an example --</subfield><subfield code="g">2.14.</subfield><subfield code="t">Conclusion --</subfield><subfield code="t">Research methodology and design --</subfield><subfield code="g">3.1.</subfield><subfield code="t">Against monomethodology --</subfield><subfield code="g">3.2.</subfield><subfield code="t">Making a plan for research --</subfield><subfield code="g">3.2.1.</subfield><subfield code="t">Step 1 --</subfield><subfield code="g">3.2.2.</subfield><subfield code="t">Step 2 --</subfield><subfield code="g">3.2.3.</subfield><subfield code="t">Step 3 --</subfield><subfield code="g">3.2.4.</subfield><subfield code="t">Step 4 --</subfield><subfield code="g">3.2.5.</subfield><subfield code="t">Step 5 --</subfield><subfield code="g">3.3.</subfield><subfield code="t">Laying out your conceptual model --</subfield><subfield code="g">3.3.1.</subfield><subfield code="t">Step 6 --</subfield><subfield code="g">3.4.</subfield><subfield code="t">A study of the literature --</subfield><subfield code="g">3.4.1.</subfield><subfield code="t">Make a plan --</subfield><subfield code="g">3.4.2.</subfield><subfield code="t">Look for sources --</subfield><subfield code="g">3.4.3.</subfield><subfield code="t">PsycINFO --</subfield><subfield code="g">3.4.4.</subfield><subfield code="t">Evaluation --</subfield><subfield code="t">Methods of data collection --</subfield><subfield code="g">4.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">4.2.</subfield><subfield code="t">Observation research --</subfield><subfield code="g">4.2.1.</subfield><subfield code="t">Deciding on the type of observation research --</subfield><subfield code="g">4.2.2.</subfield><subfield code="t">Degree of researcher involvement --</subfield><subfield code="g">4.2.3.</subfield><subfield code="t">Reduce subject interactivity --</subfield><subfield code="g">4.2.4.</subfield><subfield code="t">How to avoid observer bias --</subfield><subfield code="g">4.3.</subfield><subfield code="t">Stages in the research --</subfield><subfield code="g">4.4.</subfield><subfield code="t">Think-aloud protocols --</subfield><subfield code="g">4.5.</subfield><subfield code="t">Diary --</subfield><subfield code="g">4.6.</subfield><subfield code="t">Interview --</subfield><subfield code="g">4.7.</subfield><subfield code="t">Focus groups --</subfield><subfield code="g">4.8.</subfield><subfield code="t">Experiment --</subfield><subfield code="g">4.9.</subfield><subfield code="t">Content analysis --</subfield><subfield code="g">4.10.</subfield><subfield code="t">Survey --</subfield><subfield code="g">4.10.1.</subfield><subfield code="t">Cross-section study --</subfield><subfield code="g">4.10.2.</subfield><subfield code="t">Panel study --</subfield><subfield code="g">4.10.3.</subfield><subfield code="t">Trend studies --</subfield><subfield code="g">4.10.4.</subfield><subfield code="t">Cohort studies --</subfield><subfield code="g">4.11.</subfield><subfield code="t">What is next--</subfield><subfield code="g">4.12.</subfield><subfield code="t">Other sources --</subfield><subfield code="g">4.12.1.</subfield><subfield code="t">Observations --</subfield><subfield code="g">4.12.2.</subfield><subfield code="t">Electronic texts --</subfield><subfield code="g">4.12.3.</subfield><subfield code="t">Concordances --</subfield><subfield code="g">4.12.4.</subfield><subfield code="t">Analyzing qualitative research material --</subfield><subfield code="t">How to construct a questionnaire --</subfield><subfield code="g">5.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">5.2.</subfield><subfield code="t">Levels of measurement --</subfield><subfield code="g">5.3.</subfield><subfield code="t">Types of questions --</subfield><subfield code="g">5.3.1.</subfield><subfield code="t">Checklist --</subfield><subfield code="g">5.3.2.</subfield><subfield code="t">Multiple choice --</subfield><subfield code="g">5.3.3.</subfield><subfield code="t">Graphic rating scale --</subfield><subfield code="g">5.3.4.</subfield><subfield code="t">Itemized rating scale --</subfield><subfield code="g">5.3.5.</subfield><subfield code="t">Rank-order rating scale --</subfield><subfield code="g">5.3.6.</subfield><subfield code="t">Constant-sum rating scale and fractionation rating scale --</subfield><subfield code="g">5.3.7.</subfield><subfield code="t">Likert scale --</subfield><subfield code="g">5.3.8.</subfield><subfield code="t">Semantic differential scales --</subfield><subfield code="g">5.4.</subfield><subfield code="t">How to formulate a question--</subfield><subfield code="g">5.5.</subfield><subfield code="t">Questionnaire design --</subfield><subfield code="g">5.6.</subfield><subfield code="t">Instruction --</subfield><subfield code="g">5.7.</subfield><subfield code="t">Layout --</subfield><subfield code="g">5.8.</subfield><subfield code="t">Procedure --</subfield><subfield code="t">Experiment --</subfield><subfield code="g">6.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">6.2.</subfield><subfield code="t">Independent and dependent variables --</subfield><subfield code="g">6.3.</subfield><subfield code="t">Designs --</subfield><subfield code="g">6.3.1.</subfield><subfield code="t">Between-subjects designs --</subfield><subfield code="g">6.3.2.</subfield><subfield code="t">Within-subjects designs --</subfield><subfield code="g">6.4.</subfield><subfield code="t">Building an experimental design --</subfield><subfield code="g">6.4.1.</subfield><subfield code="t">Extending on the classical experimental design --</subfield><subfield code="g">6.4.2.</subfield><subfield code="t">Doing the 'next best thing' --</subfield><subfield code="g">6.5.</subfield><subfield code="t">Control groups --</subfield><subfield code="g">6.6.</subfield><subfield code="t">Estimating validity --</subfield><subfield code="g">6.6.1.</subfield><subfield code="t">Internal validity --</subfield><subfield code="g">6.6.2.</subfield><subfield code="t">External validity --</subfield><subfield code="t">How to enter and manipulate data in SPSS --</subfield><subfield code="g">7.1.</subfield><subfield code="t">Why use a computer program--</subfield><subfield code="g">7.2.</subfield><subfield code="t">Start SPSS --</subfield><subfield code="g">7.3.</subfield><subfield code="t">Preparing the Variable View --</subfield><subfield code="g">7.4.</subfield><subfield code="t">Entering the data in data view --</subfield><subfield code="g">7.5.</subfield><subfield code="t">Manipulating data --</subfield><subfield code="g">7.5.1.</subfield><subfield code="t">Compute: making new variables based on your data --</subfield><subfield code="g">7.5.2.</subfield><subfield code="t">Recode: changing the values of your variables --</subfield><subfield code="g">7.5.3.</subfield><subfield code="t">Select Cases: doing analyses on a subset of your data --</subfield><subfield code="g">7.6.</subfield><subfield code="t">Closing SPSS --</subfield><subfield code="t">Descriptive statistics --</subfield><subfield code="g">8.1.</subfield><subfield code="t">Two measures of descriptive statistics --</subfield><subfield code="g">8.2.</subfield><subfield code="t">Measures of central tendency --</subfield><subfield code="g">8.3.</subfield><subfield code="t">Measures of dispersion --</subfield><subfield code="g">8.4.</subfield><subfield code="t">The normal distribution --</subfield><subfield code="g">8.5.</subfield><subfield code="t">Two distributions --</subfield><subfield code="g">8.6.</subfield><subfield code="t">Descriptive statistics with spss --</subfield><subfield code="g">8.7.</subfield><subfield code="t">Cronbach's α --</subfield><subfield code="g">8.8.</subfield><subfield code="t">Graphs --</subfield><subfield code="g">8.8.1.</subfield><subfield code="t">Bar charts --</subfield><subfield code="g">8.8.2.</subfield><subfield code="t">Line graph --</subfield><subfield code="g">8.8.3.</subfield><subfield code="t">Boxplots --</subfield><subfield code="g">8.9.</subfield><subfield code="t">Final words --</subfield><subfield code="t">Inference Statistics --</subfield><subfield code="g">9.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">9.2.</subfield><subfield code="t">Errors --</subfield><subfield code="g">9.3.</subfield><subfield code="t">Region of rejection --</subfield><subfield code="g">9.4.</subfield><subfield code="t">Regression analysis --</subfield><subfield code="g">9.5.</subfield><subfield code="t">Correlations --</subfield><subfield code="g">9.6.</subfield><subfield code="t">Outlook --</subfield><subfield code="t">Inference statistics --</subfield><subfield code="g">10.1.</subfield><subfield code="t">Which test(s) to choose--</subfield><subfield code="g">10.2.</subfield><subfield code="t">t-test --</subfield><subfield code="g">10.3.</subfield><subfield code="t">Wilcoxon test for paired samples --</subfield><subfield code="g">10.4.</subfield><subfield code="t">Mann-whitney ('U-Test') for independent samples --</subfield><subfield code="g">10.5.</subfield><subfield code="t">The Kruskal-Wallis test --</subfield><subfield code="g">10.6.</subfield><subfield code="t">Non-parametric tests for related samples --</subfield><subfield code="g">10.7.</subfield><subfield code="t">Crosstabs --</subfield><subfield code="g">10.8.</subfield><subfield code="t">Overview --</subfield><subfield code="t">Inference statistics --</subfield><subfield code="g">11.1.</subfield><subfield code="t">Analysis of variance --</subfield><subfield code="g">11.2.</subfield><subfield code="t">General Linear Model --</subfield><subfield code="g">11.3.</subfield><subfield code="t">Repeated measures --</subfield><subfield code="g">11.4.</subfield><subfield code="t">Conclusion --</subfield><subfield code="t">Communicating results --</subfield><subfield code="g">12.1.</subfield><subfield code="t">Oral presentations --</subfield><subfield code="g">12.1.1.</subfield><subfield code="t">Submitting an abstract --</subfield><subfield code="g">12.1.2.</subfield><subfield code="t">Presenting yourself --</subfield><subfield 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| id | ZDB-4-EBA-ocn793996607 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:23Z |
| institution | BVB |
| isbn | 9789027274670 9027274673 9027233489 9789027233486 9789027233479 9027233470 |
| language | English |
| oclc_num | 793996607 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xxii, 328 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | John Benjamins Pub., |
| record_format | marc |
| series | Linguistic approaches to literature ; |
| series2 | Linguistic approaches to literature ; |
| spelling | Peer, Willie van. http://id.loc.gov/authorities/names/n86141974 Scientific methods for the humanities / Willie van Peer, Frank Hakemulder, Sonia Zyngier. Amsterdam, Netherlands ; /Philadelphia, PA : John Benjamins Pub., 2012. 1 online resource (xxii, 328 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Bibliography Linguistic approaches to literature ; . v. 13 Scientific Methods for the Humanities; Editorial page; Title page; LCC data; Dedicationpage; Table of contents; List of Figures, Tables and Graphs; Acknowledgements; Foreword; A new beginning; 1.1 Understanding versus explaining; 1.2 Some problems; 1.3 Two cultures?; 1.4 The scientific study of meaning; 1.5 A visit to Wundt's laboratory; 1.6 The Wundt curve; 1.7 Empirical aesthetics; 1.8 The Clockwork Muse; 1.9 Complexity; 1.10 Why methodology?; Assignment; To be carried out before turning to chapter two; Some misconceptions about scientific and empirical research of culture. Basic insights from the philosophy of science2.1 The word 'science'; 2.2 Motion; 2.3 Foundations; 2.4 Contradictions; 2.5 Predictions; 2.6 An experiment; 2.7 Comparison of theories; 2.8 Critique; 2.9 White swans, black swans; 2.10 A three-stage model; 2.11 Immune theories; 2.12 The truth?; 2.13 Research, an example; 2.14 Conclusion; Research methodology and design; 3.1 Against monomethodology; 3.2 Making a plan for research; 3.2.1 Step 1; 3.2.2 Step 2; 3.2.3 Step 3; 3.2.4 Step 4; 3.2.5 Step 5; 3.3 Laying out your conceptual model; 3.3.1 Step 6; 3.4 A study of the literature; 3.4.1 Make a plan. 3.4.2 Look for sources3.4.3 PsycINFO; 3.4.4 Evaluation; Methods of data collection; 4.1 Introduction; 4.2 Observation research; 4.2.1 Deciding on the type of observation research; 4.2.2 Degree of researcher involvement; 4.2.3 Reduce subject interactivity; 4.2.4 How to avoid observer bias; 4.3 Stages in the research; 4.4 Think-aloud protocols; 4.5 Diary; 4.6 Interview; 4.7 Focus groups; 4.8 Experiment; 4.9 Content analysis; 4.10 Survey; 4.10.1 Cross-section study; 4.10.2 Panel study; 4.10.3 Trend studies; 4.10.4 Cohort studies; 4.11 What is next?; 4.12 Other sources; 4.12.1 Observations. 4.12.2 Electronic texts4.12.3 Concordances; 4.12.4 Analyzing qualitative research material; How to construct a questionnaire; 5.1 Introduction; 5.2 Levels of measurement; 5.3 Types of questions; 5.3.1 Checklist; 5.3.2 Multiple choice; 5.3.3 Graphic rating scale; 5.3.4 Itemized rating scale; 5.3.5 Rank-order rating scale; 5.3.6 Constant-sum rating scale and fractionation rating scale; 5.3.7 Likert scale; 5.3.8 Semantic differential scales; 5.4 How to formulate a question?; 5.5 Questionnaire design; 5.6 Instruction; 5.7 Layout; 5.8 Procedure; Experiment; 6.1 Introduction. 6.2 Independent and dependent variables6.3 Designs; 6.3.1 Between-subjects designs; 6.3.2 Within-subjects designs; 6.4 Building an experimental design; 6.4.1 Extending on the classical experimental design; 6.4.2 Doing the 'next best thing'; 6.5 Control groups; 6.6 Estimating validity; 6.6.1 Internal validity; 6.6.2 External validity; How to enter and manipulate data in SPSS; 7.1 Why use a computer program?; 7.2 Start SPSS; 7.3 Preparing the Variable View; 7.4 Entering the data in data view; 7.5 Manipulating data; 7.5.1 Compute: making new variables based on your data. Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to de. Print version record. Includes bibliographical references and index. Science and the humanities. http://id.loc.gov/authorities/subjects/sh85118626 Interdisciplinary approach to knowledge. http://id.loc.gov/authorities/subjects/sh85067232 Humanities Philosophy. Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Sciences et sciences humaines. Interdisciplinarité. REFERENCE Questions & Answers. bisacsh Humanities Philosophy fast Interdisciplinary approach to knowledge fast Science and the humanities fast Science Philosophy fast Humaniora. gtt Methodologie. gtt Wetenschappelijke technieken. gtt Hakemulder, Jèmeljan, 1966- https://id.oclc.org/worldcat/entity/E39PCjFbYKHVWJXgGqXKd4R64y http://id.loc.gov/authorities/names/n95115480 Zyngier, Sonia. http://id.loc.gov/authorities/names/n2006045486 has work: Scientific methods for the humanities (Text) https://id.oclc.org/worldcat/entity/E39PCGKD6vywXdXMgHBXFgWyQy https://id.oclc.org/worldcat/ontology/hasWork Print version: Peer, Willie van. Scientific methods for the humanities. Amsterdam, Netherlands ; Philadelphia, PA : John Benjamins Pub., 2012 9789027233479 (DLC) 2012002714 (OCoLC)774021247 Linguistic approaches to literature ; v. 13. http://id.loc.gov/authorities/names/n2002038656 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=456521 Volltext 505-00/(S A new beginning -- 1.1. Understanding versus explaining -- 1.2. Some problems -- 1.3. Two cultures-- 1.4. The scientific study of meaning -- 1.5. A visit to Wundt's laboratory -- 1.6. The Wundt curve -- 1.7. Empirical aesthetics -- 1.8. The Clockwork Muse -- 1.9. Complexity -- 1.10. Why methodology-- Assignment -- To be carried out before turning to chapter two -- Some misconceptions about scientific and empirical research of culture -- Basic insights from the philosophy of science -- 2.1. The word 'science' -- 2.2. Motion -- 2.3. Foundations -- 2.4. Contradictions -- 2.5. Predictions -- 2.6. An experiment -- 2.7. Comparison of theories -- 2.8. Critique -- 2.9. White swans, black swans -- 2.10. A three-stage model -- 2.11. Immune theories -- 2.12. The truth-- 2.13. Research, an example -- 2.14. Conclusion -- Research methodology and design -- 3.1. Against monomethodology -- 3.2. Making a plan for research -- 3.2.1. Step 1 -- 3.2.2. Step 2 -- 3.2.3. Step 3 -- 3.2.4. Step 4 -- 3.2.5. Step 5 -- 3.3. Laying out your conceptual model -- 3.3.1. Step 6 -- 3.4. A study of the literature -- 3.4.1. Make a plan -- 3.4.2. Look for sources -- 3.4.3. PsycINFO -- 3.4.4. Evaluation -- Methods of data collection -- 4.1. Introduction -- 4.2. Observation research -- 4.2.1. Deciding on the type of observation research -- 4.2.2. Degree of researcher involvement -- 4.2.3. Reduce subject interactivity -- 4.2.4. How to avoid observer bias -- 4.3. Stages in the research -- 4.4. Think-aloud protocols -- 4.5. Diary -- 4.6. Interview -- 4.7. Focus groups -- 4.8. Experiment -- 4.9. Content analysis -- 4.10. Survey -- 4.10.1. Cross-section study -- 4.10.2. Panel study -- 4.10.3. Trend studies -- 4.10.4. Cohort studies -- 4.11. What is next-- 4.12. Other sources -- 4.12.1. Observations -- 4.12.2. Electronic texts -- 4.12.3. Concordances -- 4.12.4. Analyzing qualitative research material -- How to construct a questionnaire -- 5.1. Introduction -- 5.2. Levels of measurement -- 5.3. Types of questions -- 5.3.1. Checklist -- 5.3.2. Multiple choice -- 5.3.3. Graphic rating scale -- 5.3.4. Itemized rating scale -- 5.3.5. Rank-order rating scale -- 5.3.6. Constant-sum rating scale and fractionation rating scale -- 5.3.7. Likert scale -- 5.3.8. Semantic differential scales -- 5.4. How to formulate a question-- 5.5. Questionnaire design -- 5.6. Instruction -- 5.7. Layout -- 5.8. Procedure -- Experiment -- 6.1. Introduction -- 6.2. Independent and dependent variables -- 6.3. Designs -- 6.3.1. Between-subjects designs -- 6.3.2. Within-subjects designs -- 6.4. Building an experimental design -- 6.4.1. Extending on the classical experimental design -- 6.4.2. Doing the 'next best thing' -- 6.5. Control groups -- 6.6. Estimating validity -- 6.6.1. Internal validity -- 6.6.2. External validity -- How to enter and manipulate data in SPSS -- 7.1. Why use a computer program-- 7.2. Start SPSS -- 7.3. Preparing the Variable View -- 7.4. Entering the data in data view -- 7.5. Manipulating data -- 7.5.1. Compute: making new variables based on your data -- 7.5.2. Recode: changing the values of your variables -- 7.5.3. Select Cases: doing analyses on a subset of your data -- 7.6. Closing SPSS -- Descriptive statistics -- 8.1. Two measures of descriptive statistics -- 8.2. Measures of central tendency -- 8.3. Measures of dispersion -- 8.4. The normal distribution -- 8.5. Two distributions -- 8.6. Descriptive statistics with spss -- 8.7. Cronbach's α -- 8.8. Graphs -- 8.8.1. Bar charts -- 8.8.2. Line graph -- 8.8.3. Boxplots -- 8.9. Final words -- Inference Statistics -- 9.1. Introduction -- 9.2. Errors -- 9.3. Region of rejection -- 9.4. Regression analysis -- 9.5. Correlations -- 9.6. Outlook -- Inference statistics -- 10.1. Which test(s) to choose-- 10.2. t-test -- 10.3. Wilcoxon test for paired samples -- 10.4. Mann-whitney ('U-Test') for independent samples -- 10.5. The Kruskal-Wallis test -- 10.6. Non-parametric tests for related samples -- 10.7. Crosstabs -- 10.8. Overview -- Inference statistics -- 11.1. Analysis of variance -- 11.2. General Linear Model -- 11.3. Repeated measures -- 11.4. Conclusion -- Communicating results -- 12.1. Oral presentations -- 12.1.1. Submitting an abstract -- 12.1.2. Presenting yourself -- 12.1.3. Organizational aspects -- 12.1.4. Preparing a script -- 12.1.5. Speaking to an audience -- 12.1.6. Discussion time -- 12.1.7. Using media -- 12.2. Written presentations -- 12.2.1. Where to publish -- 12.2.2. Structuring your paper -- 12.2.2.1. Title page -- 12.2.2.2. Keywords -- 12.2.2.3. Abstract -- 12.2.2.4. Introduction -- 12.2.2.5. Method -- 12.2.2.6. Results -- 12.2.2.7. Discussion -- 12.2.3. Where to begin -- 12.2.4. Some stylistic reminders -- 12.2.4.1. Pronouns -- 12.2.4.2. Markers -- 12.2.4.3. Gender -- 12.2.4.4. Politeness -- 12.2.4.5. Tone -- 12.2.5. Sources and citing -- 12.2.5.1. Citing sources APA style -- 12.2.5.2. Citing sources MLA style -- 12.2.6. Some words of caution -- 12.2.7. Final checklist before submitting -- 12.2.8. Submitting your paper -- 12.3. Poster sessions -- 12.3.1. Preparations -- 12.3.2. Graphs, tables, illustrations -- 12.3.3. The text -- 12.3.4. Making the poster -- 12.4. Final words -- Epilogue. |
| spellingShingle | Peer, Willie van Scientific methods for the humanities / Linguistic approaches to literature ; Scientific Methods for the Humanities; Editorial page; Title page; LCC data; Dedicationpage; Table of contents; List of Figures, Tables and Graphs; Acknowledgements; Foreword; A new beginning; 1.1 Understanding versus explaining; 1.2 Some problems; 1.3 Two cultures?; 1.4 The scientific study of meaning; 1.5 A visit to Wundt's laboratory; 1.6 The Wundt curve; 1.7 Empirical aesthetics; 1.8 The Clockwork Muse; 1.9 Complexity; 1.10 Why methodology?; Assignment; To be carried out before turning to chapter two; Some misconceptions about scientific and empirical research of culture. Basic insights from the philosophy of science2.1 The word 'science'; 2.2 Motion; 2.3 Foundations; 2.4 Contradictions; 2.5 Predictions; 2.6 An experiment; 2.7 Comparison of theories; 2.8 Critique; 2.9 White swans, black swans; 2.10 A three-stage model; 2.11 Immune theories; 2.12 The truth?; 2.13 Research, an example; 2.14 Conclusion; Research methodology and design; 3.1 Against monomethodology; 3.2 Making a plan for research; 3.2.1 Step 1; 3.2.2 Step 2; 3.2.3 Step 3; 3.2.4 Step 4; 3.2.5 Step 5; 3.3 Laying out your conceptual model; 3.3.1 Step 6; 3.4 A study of the literature; 3.4.1 Make a plan. 3.4.2 Look for sources3.4.3 PsycINFO; 3.4.4 Evaluation; Methods of data collection; 4.1 Introduction; 4.2 Observation research; 4.2.1 Deciding on the type of observation research; 4.2.2 Degree of researcher involvement; 4.2.3 Reduce subject interactivity; 4.2.4 How to avoid observer bias; 4.3 Stages in the research; 4.4 Think-aloud protocols; 4.5 Diary; 4.6 Interview; 4.7 Focus groups; 4.8 Experiment; 4.9 Content analysis; 4.10 Survey; 4.10.1 Cross-section study; 4.10.2 Panel study; 4.10.3 Trend studies; 4.10.4 Cohort studies; 4.11 What is next?; 4.12 Other sources; 4.12.1 Observations. 4.12.2 Electronic texts4.12.3 Concordances; 4.12.4 Analyzing qualitative research material; How to construct a questionnaire; 5.1 Introduction; 5.2 Levels of measurement; 5.3 Types of questions; 5.3.1 Checklist; 5.3.2 Multiple choice; 5.3.3 Graphic rating scale; 5.3.4 Itemized rating scale; 5.3.5 Rank-order rating scale; 5.3.6 Constant-sum rating scale and fractionation rating scale; 5.3.7 Likert scale; 5.3.8 Semantic differential scales; 5.4 How to formulate a question?; 5.5 Questionnaire design; 5.6 Instruction; 5.7 Layout; 5.8 Procedure; Experiment; 6.1 Introduction. 6.2 Independent and dependent variables6.3 Designs; 6.3.1 Between-subjects designs; 6.3.2 Within-subjects designs; 6.4 Building an experimental design; 6.4.1 Extending on the classical experimental design; 6.4.2 Doing the 'next best thing'; 6.5 Control groups; 6.6 Estimating validity; 6.6.1 Internal validity; 6.6.2 External validity; How to enter and manipulate data in SPSS; 7.1 Why use a computer program?; 7.2 Start SPSS; 7.3 Preparing the Variable View; 7.4 Entering the data in data view; 7.5 Manipulating data; 7.5.1 Compute: making new variables based on your data. Science and the humanities. http://id.loc.gov/authorities/subjects/sh85118626 Interdisciplinary approach to knowledge. http://id.loc.gov/authorities/subjects/sh85067232 Humanities Philosophy. Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Sciences et sciences humaines. Interdisciplinarité. REFERENCE Questions & Answers. bisacsh Humanities Philosophy fast Interdisciplinary approach to knowledge fast Science and the humanities fast Science Philosophy fast Humaniora. gtt Methodologie. gtt Wetenschappelijke technieken. gtt |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85118626 http://id.loc.gov/authorities/subjects/sh85067232 http://id.loc.gov/authorities/subjects/sh85118582 |
| title | Scientific methods for the humanities / |
| title_auth | Scientific methods for the humanities / |
| title_exact_search | Scientific methods for the humanities / |
| title_full | Scientific methods for the humanities / Willie van Peer, Frank Hakemulder, Sonia Zyngier. |
| title_fullStr | Scientific methods for the humanities / Willie van Peer, Frank Hakemulder, Sonia Zyngier. |
| title_full_unstemmed | Scientific methods for the humanities / Willie van Peer, Frank Hakemulder, Sonia Zyngier. |
| title_short | Scientific methods for the humanities / |
| title_sort | scientific methods for the humanities |
| topic | Science and the humanities. http://id.loc.gov/authorities/subjects/sh85118626 Interdisciplinary approach to knowledge. http://id.loc.gov/authorities/subjects/sh85067232 Humanities Philosophy. Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Sciences et sciences humaines. Interdisciplinarité. REFERENCE Questions & Answers. bisacsh Humanities Philosophy fast Interdisciplinary approach to knowledge fast Science and the humanities fast Science Philosophy fast Humaniora. gtt Methodologie. gtt Wetenschappelijke technieken. gtt |
| topic_facet | Science and the humanities. Interdisciplinary approach to knowledge. Humanities Philosophy. Science Philosophy. Sciences et sciences humaines. Interdisciplinarité. REFERENCE Questions & Answers. Humanities Philosophy Interdisciplinary approach to knowledge Science and the humanities Science Philosophy Humaniora. Methodologie. Wetenschappelijke technieken. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=456521 |
| work_keys_str_mv | AT peerwillievan scientificmethodsforthehumanities AT hakemulderjemeljan scientificmethodsforthehumanities AT zyngiersonia scientificmethodsforthehumanities |