<h4>Help your students gain confidence conducting statistical analysis</h4> <p><strong>Understanding Statistics in Psychology with SPSS</strong>, eighth edition,</p> <p>combines coverage of statistics with guidance on using SPSS to analyse data. The book is organised into accessible chapters suitable for classroom or independent study. Clear diagrams and screenshots from SPSS make the text beginner friendly, helping students progress through the book.</p> <p>This edition provides examples from real psychological studies to help students connect theory to practice, while key concept boxes and focus sections ensure solid understanding of core concepts.</p> <p>With a range of features, this book is ideal for undergraduate students in psychology.</p><p><strong>This edition includes a <a href="https://media.pearsoncmg.com/intl/wps-wraps/ema_uk_he_howitt_understats_8/cw/" target="_blank">Companion Website</a>.</strong></p>

<ul>
    <li>Chapter 1 Why statistics? </li>
    <li>Chapter 2 Some basics: Variability and measurement </li>
    <li>Chapter 3 Describing variables: Tables and diagrams </li>
    <li>Chapter 4 Describing variables numerically: Averages, variation and spread </li>
    <li>Chapter 5 Shapes of distributions of scores </li>
    <li>Chapter 6 Standard deviation and z-scores: Standard unit of measurement in statistics </li>
    <li>Chapter 7 Relationships between two or more variables: Diagrams and tables </li>
    <li>Chapter 8 Correlation coefficients: Pearson&rsquo;s correlation and Spearman&rsquo;s rho </li>
    <li>Chapter 9 Regression: Prediction with precision </li>
    <li>Chapter 10 Samples from populations </li>
    <li>Chapter 11 Statistical significance for the correlation coefficient: A practical introduction to statistical inference </li>
    <li>Chapter 12 Standard error: Standard deviation of the means of samples </li>
    <li>Chapter 13 Related t-test: Comparing two samples of related/correlated/paired scores </li>
    <li>Chapter 14 Unrelated t-test: Comparing two samples of unrelated/uncorrelated/ independent scores </li>
    <li>Chapter 15 What you need to write about your statistical analysis </li>
    <li>Chapter 16 Confidence intervals </li>
    <li>Chapter 17 Effect size in statistical analysis: Do my findings matter? </li>
    <li>Chapter 18 Chi-square: Differences between samples of frequency data </li>
    <li>Chapter 19 Probability </li>
    <li>Chapter 20 One-tailed versus two-tailed significance testing </li>
    <li>Chapter 21 Ranking tests: Nonparametric statistics </li>
    <li>Chapter 22 Variance ratio test: F-ratio to compare two variances </li>
    <li>Chapter 23 Analysis of variance (ANOVA): One-way unrelated or uncorrelated ANOVA </li>
    <li>Chapter 24 ANOVA for correlated scores or repeated measures </li>
    <li>Chapter 25 Two-way or factorial ANOVA for unrelated/uncorrelated scores: Two studies for the price of one? </li>
    <li>Chapter 26 Multiple comparisons with in ANOVA: A priori and post hoc tests </li>
    <li>Chapter 27 Mixed-design ANOVA: Related and unrelated variables together </li>
    <li>Chapter 28 Analysis of covariance (ANCOVA): Controlling for additional variables </li>
    <li>Chapter 29 Multivariate analysis of variance (MANOVA) </li>
    <li>Chapter 30 Discriminant (function) analysis &ndash; especially in MANOVA </li>
    <li>Chapter 31 Statistics and analysis of experiments </li>
    <li>Chapter 32 Partial correlation: Spurious correlation, third or confounding variables, suppressor variables </li>
    <li>Chapter 33 Factor analysis: Simplifying complex data </li>
    <li>Chapter 34 Multiple regression and multiple correlation </li>
    <li>Chapter 35 Path analysis </li>
    <li>Chapter 36 Meta-analysis: Combining and exploring statistical findings from previous research </li>
    <li>Chapter 37 Reliability in scales and measurement: Consistency and agreement </li>
    <li>Chapter 38 Influence of moderator variables on relationships between two variables </li>
    <li>Chapter 39 Statistical power analysis: Getting the sample size right </li>
    <li>Chapter 40 Log-linear methods: Analysis of complex contingency tables </li>
    <li>Chapter 41 Multinomial logistic regression: Distinguishing between several different categories or groups </li>
    <li>Chapter 42 Binomial logistic regression </li>
    <li>Chapter 43 Data mining and big data </li>
</ul>

<h4>Develop confidence conducting statistical analysis with this trusted text</h4> <p><strong>Understanding Statistics in Psychology with SPSS</strong>, eighth edition, is the comprehensive guide that helps you conduct statistical analyses using SPSS with confidence.</p> <p>Combining statistics with guidance on using SPSS to analyse data, the book is neatly organised into short, accessible chapters. Clear diagrams and screenshots from SPSS make the text suitable for beginners, but helps you progress to more advanced techniques.</p> <p>This edition has examples from real psychological studies that illustrate how statistical techniques are used in practice. Features throughout ensure solid understanding of the material in the chapters.</p> <p>This trusted book is the ideal companion for undergraduate students in psychology.</p><p><strong>This edition includes a <a href="https://media.pearsoncmg.com/intl/wps-wraps/ema_uk_he_howitt_understats_8/cw/" target="_blank">Companion Website</a>.</strong></p>

<p>A clear and comprehensive introduction to Statistics with step by step guidance on using SPSS to carry out statistical analysis.&nbsp;<b>Understanding Statistics in Psychology with SPSS 8<sup>th</sup>&nbsp;edition&nbsp;</b>is geared towards helping students to properly understand statistical techniques so gaining the confidence to apply them with the help of SPSS.</p>

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<p>A clear and comprehensive introduction to Statistics with step by step guidance on using SPSS to carry out statistical analysis. <strong><em>Understanding Statistics in Psychology with SPSS</em></strong>&nbsp; is geared towards helping students to properly understand statistical techniques so gaining the confidence to apply them with the help of SPSS.</p>

Dennis Howitt

Duncan Cramer

Understanding Statistics in Psychology with SPSS

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