Introduction to research methods and statistics in psychology : a practical guide for the undergraduate researcher / / Ronald A. McQueen, Christina Knussen

• Autore: McQueen R. A.
• Pubblicazione: Harlow, England : , : Pearson, , [2013]; ©2013
• Edizione: Second edition.
• Descrizione fisica: 1 online resource (575 pages) : illustrations (some color)
• Disciplina: 150.721
• Soggetto topico: Psychology - Research - Methodology; Psychometrics
• Persona (resp. second.): KnussenChristina
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Cover2 -- Cover3 -- Contents -- Preface to the second edition -- Guided tour -- Authors' acknowledgements -- Publisher's acknowledgements -- Part 1: Introduction -- Chapter 1: Introducing research -- 1.1 Psychology, a definition -- 1.2 Research and scientific method -- 1.3 Secondary research -- 1.4 Beginning your research project -- 1.5 Reviewing the literature -- 1.6 The structure of a research project -- Review -- Suggested further reading -- Part 2: Planning and designing a research project -- Chapter 2: The nature of research design -- 2.1 The purpose of a design -- 2.2 The world of variables -- 2.3 Variables and levels of measurement -- Review -- Suggested further reading -- Chapter 3: experimental research designs -- 3.1 Introduction to experimental research -- 3.2 Experimental design -- 3.3 Between-groups designs (independent-groups designs) -- 3.4 Within-subjects designs (repeated-measures designs) -- 3.5 Non-equivalent groups (quasi-experimental) design -- 3.6 Factorial designs -- 3.7 Mixed designs -- Review -- Suggested further reading -- Chapter 4: Correlational and regression designs -- 4.1 Correlational designs -- 4.2 Partial correlation -- 4.3 Multiple correlation and regression -- Review -- Suggested further reading -- Part 3: Carrying out research: methods and procedures -- Chapter 5: The essentials of carrying out research: the participants -- 5.1 The role of procedure -- 5.2 The stuff of research - whom will you use? -- 5.3 Samples and populations -- 5.4 Sampling techniques -- 5.5 Non-probability sampling -- 5.6 Samples - how to get them -- 5.7 How many participants? -- 5.8 Sample size in estimating population characteristics -- 5.9 Sample size in hypothesis testing -- 5.10 Secondary research and survey data -- Review -- Suggested further reading -- Chapter 6: Ethics and research -- 6.1 Carrying out ethical research. ; 6.2 Participants -- 6.3 Apparatus -- 6.4 Procedural issues -- 6.5 Ethics and online research -- 6.6 Practical issues -- Review -- Suggested further reading -- Chapter 7: Using questionnaires in research -- 7.1 Questionnaire design - how to get information -- 7.2 The importance of 'who' is asking the questions -- 7.3 The format of a question -- 7.4 Types of scale - closed-ended questions -- 7.5 Types of scale - open-ended questions -- 7.6 Special techniques for information gathering: focus groups -- 7.7 Pilot research -- 7.8 Using standardised instruments in research -- 7.9 What you need to know about psychological tests -- Review -- Suggested further reading -- Part 4: Describing your data -- Chapter 8: Tables, figures and descriptive statistics -- 8.1 How the world can be represented numerically -- 8.2 Making sense of numbers -- 8.3 Tables and categorical variables -- 8.4 Figures and categorical variables -- 8.5 The rules for drawing graphs and charts -- 8.6 Tables and continuous variables -- 8.7 The stemplot -- 8.8 Figures and continuous variables -- 8.9 Continuous variables and the boxplot -- 8.10 Continuous-scaled data and the bar chart -- 8.11 Continuous-scaled data and line graphs -- 8.12 Statistics -- 8.13 Dispersion -- 8.14 The normal distribution -- 8.15 Practical implications -- 8.16 The standard normal distribution -- Review -- Suggested further reading -- Chapter 9: Introducing SPSS -- 9.1 Computer analysis and SPSS -- 9.2 The starting point: what to do with your data -- 9.3 The basics of working with SPSS: setting up variables and data entry -- 9.4 Coding: an overview -- 9.5 How to code ordinal and nominal category data -- 9.6 How to code - and recode - continuous data -- 9.7 Entering data and naming variables: an overview -- 9.8 Data entry: between-group designs -- 9.9 Data entry: within-subjects designs -- 9.10 Setting up data in SPSS. ; 9.11 Naming and defining variables -- 9.12 Describing data in SPSS: an overview -- 9.13 Using SPSS to describe our data -- 9.14 Tables and figures for category variables -- 9.15 Figures and associated category variables -- 9.16 A word of caution on crosstabulation -- 9.17 Graphs and crosstabulated data for selected cases -- 9.18 Selecting cases: a word of caution -- 9.19 Describing continuous variables -- 9.20 Screening data -- Review -- Suggested further reading -- Part 5: Drawing inferences and testing hypotheses -- Chapter 10: Introducing inferential statistics and tests of differences -- 10.1 Inferential statistics -- 10.2 Probability explained -- 10.3 Scope for errors -- 10.4 One- and two-tailed tests -- 10.5 Effect size and power -- 10.6 A priori and post hoc power analyses -- 10.7 Comparing samples and populations - an overview -- 10.8 Comparing samples and populations - the standard error of the mean -- 10.9 Parametric and non-parametric data -- 10.10 Tests of differences - between-group comparisons -- 10.11 Tests of differences - within-group comparisons (repeated measures) -- Review -- Suggested further reading -- Chapter 11: Tests of association -- 11.1 The chi-square (x2) test of association -- 11.2 Correlation -- 11.3 Simple regression -- 11.4 The coefficient of determination (r2 ) -- 11.5 Internal consistency: Cronbach's alpha -- Review -- Suggested further reading -- Chapter 12: Advanced analysis -- 12.1 Two-way ANOVA -- 12.2 Locating an effect in two-way ANOVA -- 12.3 Post hoc testing for an interaction effect -- 12.4 Partial correlation -- 12.5 Multiple regression -- Review -- Suggested further reading -- Part 6: Carrying out qualitative research -- Chapter 13: Introducing qualitative research -- 13.1 An example of a qualitative study -- 13.2 Qualitative or quantitative? -- 13.3 Representing the experiences of people. ; 13.4 Knowledge of a particular phenomenon -- 13.5 Previous research -- 13.6 Availability of participants -- 13.7 Time factors -- 13.8 Your supervisor -- 13.9 Mixed methods -- 13.10 Different types of qualitative research -- 13.11 Planning a qualitative study -- 13.12 Research questions and the conceptual framework -- 13.13 Deciding on the method -- 13.14 Piloting -- 13.15 Other points to consider at an early stage of qualitative research -- 13.16 Collecting data -- 13.17 Dealing with qualitative data -- 13.18 The quality of the research -- Review -- Suggested further reading -- Part 7: Writing up research -- Chapter 14: Writing up your research -- 14.1 The purpose of a report -- 14.2 Writing guidelines -- 14.3 The structure of a psychology report -- 14.4 Title -- 14.5 Abstract -- 14.6 Contents -- 14.7 Introduction -- 14.8 Method -- 14.9 Results -- 14.10 Presenting tables and figures -- 14.11 Discussion -- 14.12 References -- 14.13 Appendices -- 14.14 Writing up qualitative research -- 14.15 Presentation and style -- Review -- Appendix A: Area under the normal curve -- Appendix B: Critical values of U and U' -- Appendix C: Critical values of t -- Appendix D: Critical values of T at various levels of probability -- Appendix E: Table of x2 -- Appendix F: Quick guides -- Glossary of key terms -- References -- Index.
• Sommario/riassunto: This second edition has been substantially revised and expanded to form a truly comprehensive, practical guide to research methods and statistical analysis. The text retains the successful student-centred approach, assuming no background knowledge. Logically and intuitively organised, the book introduces key terms and concepts, progressing through the process of selecting a study and analysing results right through to the final point of preparing a report. This edition has been extensively revised to offer more detailed coverage - including more depth on topics such as power, meta-analysis, ethics, the literature review, questionnaire design, small sample research, and graphing techniques. Coverage of qualitative methods has been expanded to include more on software tools and IPA. The book offers a range of support focused on essential concepts, practicalities, and a new feature to highlight important research from the scientific literature. The examples have been increased and updated to help clarify concepts and further support the reader in developing both a conceptual and practical understanding of research and analysis. The book relates to the most recent version of PASW statistics (previously SPSS).
• Titolo autorizzato: Introduction to research methods and statistics in psychology
• ISBN: 0-273-73510-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910150225403321
• Lo trovi qui: Univ. Federico II
• Serie: Always learning.