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Produktbild: Understanding Statistics in Psychology

Understanding Statistics in Psychology

86,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.11.2024

Verlag

Pearson Education Limited

Seitenzahl

680

Maße (L/B/H)

26,5/19,5/3,7 cm

Gewicht

1242 g

Auflage

9

Sprache

Englisch

ISBN

978-1-292-46518-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.11.2024

Verlag

Pearson Education Limited

Seitenzahl

680

Maße (L/B/H)

26,5/19,5/3,7 cm

Gewicht

1242 g

Auflage

9

Sprache

Englisch

ISBN

978-1-292-46518-0

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Understanding Statistics in Psychology


  • Preface




    1. Why statistics?



    Part 1 Descriptive statistics


    1. Some basics: Variability and measurement


    2. Describing variables: Tables and diagrams


    3. Describing variables numerically: Averages, variation and spread


    4. Shapes of distributions of scores


    5. Standard deviation and z-scores: Standard unit of measurement in statistics


    6. Relationships between two or more variables: Diagrams and tables


    7. Correlation coefficients: Pearsons correlation and Spearman's rho


    8. Regression: Prediction with precision



    Part 2 Significance testing


    1. Samples from populations


    2. Statistical significance for the correlation coefficient: Practical introduction to statistical inference


    3. Standard error: Standard deviation of the means of samples


    4. Related or paired-samples t-test: Comparing two samples of related/correlated/paired scores


    5. Unrelated or independent-samples t-test: Comparing two samples of unrelated/uncorrelated/independent scores


    6. What you need to write about your statistical analysis


    7. Confidence intervals


    8. Effect size in statistical analysis: Do my findings matter?


    9. Chi-square: Differences between samples of frequency data


    10. Probability


    11. One- versus two-tailed or -sided significance testing


    12. Ranking tests: Nonparametric statistics



    Part 3 Introduction to analysis of variance


    1. Variance ratio test: F-ratio to compare two variances


    2. Analysis of variance (ANOVA): One-way unrelated or uncorrelated ANOVA


    3. ANOVA for correlated scores or repeated measures


    4. Two-way or factorial ANOVA for unrelated/uncorrelated scores: Two studies for the price of one?


    5. Multiple comparisons in ANOVA: A priori and post hoc tests


    6. Mixed-design ANOVA: Related and unrelated variables together


    7. Analysis of covariance (ANCOVA): Controlling for additional variables


    8. Multivariate analysis of variance (MANOVA)


    9. Discriminant (function) analysis especially in MANOVA


    10. Statistics and analysis of experiments



    Part 4 More advanced correlational statistics


    1. Partial correlation: Spurious correlation, third or confounding variables, suppressor variables


    2. Factor analysis: Simplifying complex data


    3. Multiple regression and multiple correlation


    4. Path analysis


    5. Analysis of a questionnaire/survey project



    Part 5 Assorted advanced techniques


    1. Meta-analysis: Combining and exploring statistical findings from previous research


    2. Reliability in scales and measurement: Consistency and agreement


    3. Influence of moderator variables on relationships between two variables


    4. Statistical power analysis: Getting the sample size right



    Part 6 Advanced qualitative or nominal techniques


    1. Log-linear methods: Analysis of complex contingency tables


    2. Multinomial logistic regression: Distinguishing between several different categories or groups


    3. Binomial logistic regression



    Part 7 Bringing things together


    1. Data mining and Big Data


    2. Towards a masterplan




    Appendices


    Glossary


    References


    Index