Hugh Coolican
Research Methods and Statistics in Psychology (eBook, ePUB)
48,95 €
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
48,95 €
Als Download kaufen
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
24 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
48,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
24 °P sammeln
Hugh Coolican
Research Methods and Statistics in Psychology (eBook, ePUB)
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today.
- Geräte: eReader
- mit Kopierschutz
- eBook Hilfe
- Größe: 15.66MB
Andere Kunden interessierten sich auch für
- Hugh CoolicanResearch Methods and Statistics in Psychology (eBook, PDF)48,95 €
- Geoff CummingUnderstanding The New Statistics (eBook, ePUB)52,95 €
- Christer ThraneDoing Statistical Analysis (eBook, ePUB)50,95 €
- Richard L. GorsuchFactor Analysis (eBook, ePUB)51,95 €
- Barbara M. ByrneStructural Equation Modeling With AMOS (eBook, ePUB)55,95 €
- Jacob CohenStatistical Power Analysis for the Behavioral Sciences (eBook, ePUB)50,95 €
- Scott E. MaxwellDesigning Experiments and Analyzing Data (eBook, ePUB)106,95 €
-
-
-
The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 826
- Erscheinungstermin: 8. November 2018
- Englisch
- ISBN-13: 9781351780698
- Artikelnr.: 54674454
- Verlag: Taylor & Francis
- Seitenzahl: 826
- Erscheinungstermin: 8. November 2018
- Englisch
- ISBN-13: 9781351780698
- Artikelnr.: 54674454
Hugh Coolican is a recently retired Principal Lecturer in Psychology at Coventry University, now holding the position of Honorary Teaching Fellow. He is also a Chartered Psychologist and an examiner and scrutineer for the International Baccalaureate.
Part 1 Research Methods and Ethics
Chapter 1 Psychology, science and research
Chapter 2 Measuring people - variables, samples and the qualitative
critique
Chapter 3 Experiments and experimental designs in psychology
Chapter 4 Validity in psychological research
Chapter 5 Quasi-experiments and non-experiments
Chapter 6 Observational methods - watching and being with people
Chapter 7 Interview methods - asking people direct questions
Chapter 8 Psychological tests and measurement scales
Chapter 9 Comparison studies - cross-sectional, longitudinal and
cross-cultural studies
Chapter 10 Qualitative approaches in psychology
Chapter 11 Ethical issues in psychological research
Part 2 Analysing data and writing reports
Chapter 12 Analysing qualitative data
Chapter 13 Statistics - organising the data
Chapter 14 Graphical representation of data
Chapter 15 Frequencies and distributions
Chapter 16 Significance testing - was it a real effect?
Chapter 17 Testing for differences between two samples
Chapter 18 Tests for categorical variables and frequency tables
Chapter 19 Correlation
Chapter 20 Regression and multiple regression
Chapter 21 Factor analysis
Chapter 22 Multi-level analysis - differences between more than two
conditions (ANOVA)
Chapter 23 Multi-factorial ANOVA designs
Chapter 24 ANOVA for repeated measures designs
Chapter 25 Choosing a significance test for your data
Chapter 26 Planning your practical and writing up your report
Chapter 1 Psychology, science and research
Chapter 2 Measuring people - variables, samples and the qualitative
critique
Chapter 3 Experiments and experimental designs in psychology
Chapter 4 Validity in psychological research
Chapter 5 Quasi-experiments and non-experiments
Chapter 6 Observational methods - watching and being with people
Chapter 7 Interview methods - asking people direct questions
Chapter 8 Psychological tests and measurement scales
Chapter 9 Comparison studies - cross-sectional, longitudinal and
cross-cultural studies
Chapter 10 Qualitative approaches in psychology
Chapter 11 Ethical issues in psychological research
Part 2 Analysing data and writing reports
Chapter 12 Analysing qualitative data
Chapter 13 Statistics - organising the data
Chapter 14 Graphical representation of data
Chapter 15 Frequencies and distributions
Chapter 16 Significance testing - was it a real effect?
Chapter 17 Testing for differences between two samples
Chapter 18 Tests for categorical variables and frequency tables
Chapter 19 Correlation
Chapter 20 Regression and multiple regression
Chapter 21 Factor analysis
Chapter 22 Multi-level analysis - differences between more than two
conditions (ANOVA)
Chapter 23 Multi-factorial ANOVA designs
Chapter 24 ANOVA for repeated measures designs
Chapter 25 Choosing a significance test for your data
Chapter 26 Planning your practical and writing up your report
Part 1 Research Methods and Ethics
Chapter 1 Psychology, science and research
Chapter 2 Measuring people - variables, samples and the qualitative
critique
Chapter 3 Experiments and experimental designs in psychology
Chapter 4 Validity in psychological research
Chapter 5 Quasi-experiments and non-experiments
Chapter 6 Observational methods - watching and being with people
Chapter 7 Interview methods - asking people direct questions
Chapter 8 Psychological tests and measurement scales
Chapter 9 Comparison studies - cross-sectional, longitudinal and
cross-cultural studies
Chapter 10 Qualitative approaches in psychology
Chapter 11 Ethical issues in psychological research
Part 2 Analysing data and writing reports
Chapter 12 Analysing qualitative data
Chapter 13 Statistics - organising the data
Chapter 14 Graphical representation of data
Chapter 15 Frequencies and distributions
Chapter 16 Significance testing - was it a real effect?
Chapter 17 Testing for differences between two samples
Chapter 18 Tests for categorical variables and frequency tables
Chapter 19 Correlation
Chapter 20 Regression and multiple regression
Chapter 21 Factor analysis
Chapter 22 Multi-level analysis - differences between more than two
conditions (ANOVA)
Chapter 23 Multi-factorial ANOVA designs
Chapter 24 ANOVA for repeated measures designs
Chapter 25 Choosing a significance test for your data
Chapter 26 Planning your practical and writing up your report
Chapter 1 Psychology, science and research
Chapter 2 Measuring people - variables, samples and the qualitative
critique
Chapter 3 Experiments and experimental designs in psychology
Chapter 4 Validity in psychological research
Chapter 5 Quasi-experiments and non-experiments
Chapter 6 Observational methods - watching and being with people
Chapter 7 Interview methods - asking people direct questions
Chapter 8 Psychological tests and measurement scales
Chapter 9 Comparison studies - cross-sectional, longitudinal and
cross-cultural studies
Chapter 10 Qualitative approaches in psychology
Chapter 11 Ethical issues in psychological research
Part 2 Analysing data and writing reports
Chapter 12 Analysing qualitative data
Chapter 13 Statistics - organising the data
Chapter 14 Graphical representation of data
Chapter 15 Frequencies and distributions
Chapter 16 Significance testing - was it a real effect?
Chapter 17 Testing for differences between two samples
Chapter 18 Tests for categorical variables and frequency tables
Chapter 19 Correlation
Chapter 20 Regression and multiple regression
Chapter 21 Factor analysis
Chapter 22 Multi-level analysis - differences between more than two
conditions (ANOVA)
Chapter 23 Multi-factorial ANOVA designs
Chapter 24 ANOVA for repeated measures designs
Chapter 25 Choosing a significance test for your data
Chapter 26 Planning your practical and writing up your report