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Produktbild: Understanding Statistics in Psychology

Understanding Statistics in Psychology

Aus der Reihe Pearson Education Limited

85,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.11.2024

Verlag

Pearson Studium

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 Studium

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