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Umfang: 1 online resource (492 pages)

Ausgabe: 1st ed.

ISBN: 9781800649392

Anmerkung: Intro -- Preface -- I Beginnings -- Why do we learn statistics -- On the psychology of statistics -- The curse of belief bias -- The cautionary tale of Simpson's paradox -- Statistics in psychology -- Statistics in everyday life -- There's more to research methods than statistics -- A brief introduction to research design -- Introduction to psychological measurement -- Some thoughts about psychological measurement -- Operationalisation: defining your measurement -- Scales of measurement -- Nominal scale -- Ordinal scale -- Interval scale -- Ratio scale -- Continuous versus discrete variables -- Some complexities -- Assessing the reliability of a measurement -- The ``role'' of variables: predictors and outcomes -- Experimental and non-experimental research -- Experimental research -- Non-experimental research -- Assessing the validity of a study -- Internal validity -- External validity -- Construct validity -- Face validity -- Ecological validity -- Confounders, artefacts and other threats to validity -- History effects -- Maturation effects -- Repeated testing effects -- Selection bias -- Differential attrition -- Non-response bias -- Regression to the mean -- Experimenter bias -- Demand effects and reactivity -- Placebo effects -- Situation, measurement and sub-population effects -- Fraud, deception and self-deception -- Summary -- II An introduction to jamovi -- Getting started with jamovi -- Installing jamovi -- Starting up jamovi -- Analyses -- The spreadsheet -- Variables -- Computed variables -- Copy and paste -- Syntax mode -- Loading data in jamovi -- Importing data from csv files -- Importing unusual data files -- Loading data from text files -- Loading data from SPSS (and other statistics packages) -- Loading Excel files -- Changing data from one level to another -- Installing add-on modules into jamovi -- Quitting jamovi -- Summary. , III Working with data -- Descriptive statistics -- Measures of central tendency -- The mean -- Calculating the mean in jamovi -- The median -- Mean or median? What's the difference? -- A real-life example -- Mode -- Measures of variability -- Range -- Interquartile range -- Mean absolute deviation -- Variance -- Standard deviation -- Which measure to use? -- Skew and kurtosis -- Descriptive statistics separately for each group -- Standard scores -- Summary -- Drawing graphs -- Histograms -- Boxplots -- Violin plots -- Drawing multiple boxplots -- Using box plots to detect outliers -- Bar graphs -- Saving image files using jamovi -- Summary -- Pragmatic matters -- Tabulating and cross-tabulating data -- Creating tables for single variables -- Adding percentages to a contingency table -- Logical expressions in jamovi -- Assessing mathematical truths -- Logical operations -- Applying logical operation to text -- Transforming and recoding a variable -- Creating a transformed variable -- Collapsing a variable into a smaller number of discrete levels or categories -- Creating a transformation that can be applied to multiple variables -- A few more mathematical functions and operations -- Logarithms and exponentials -- Extracting a subset of the data -- Summary -- IV Statistical theory -- Prelude -- On the limits of logical reasoning -- Learning without making assumptions is a myth -- Introduction to probability -- How are probability and statistics different? -- What does probability mean? -- The frequentist view -- The Bayesian view -- What's the difference? And who is right? -- Basic probability theory -- Introducing probability distributions -- The binomial distribution -- Introducing the binomial -- The normal distribution -- Probability density -- Other useful distributions -- Summary -- Estimating unknown quantities from a sample. , Samples, populations and sampling -- Defining a population -- Simple random samples -- Most samples are not simple random samples -- How much does it matter if you don't have a simple random sample? -- Population parameters and sample statistics -- The law of large numbers -- Sampling distributions and the central limit theorem -- Sampling distribution of the mean -- Sampling distributions exist for any sample statistic! -- The central limit theorem -- Estimating population parameters -- Estimating the population mean -- Estimating the population standard deviation -- Estimating a confidence interval -- Interpreting a confidence interval -- Calculating confidence intervals in jamovi -- Summary -- Hypothesis testing -- A menagerie of hypotheses -- Research hypotheses versus statistical hypotheses -- Null hypotheses and alternative hypotheses -- Two types of errors -- Test statistics and sampling distributions -- Making decisions -- Critical regions and critical values -- A note on statistical ``significance'' -- The difference between one-sided and two-sided tests -- The p-value of a test -- A softer view of decision making -- The probability of extreme data -- A common mistake -- Reporting the results of a hypothesis test -- The issue -- Two proposed solutions -- Running the hypothesis test in practice -- Effect size, sample size and power -- The power function -- The power function -- Increasing the power of your study -- Some issues to consider -- Neyman versus Fisher -- Bayesians versus frequentists -- Traps -- Summary -- V Statistical tools -- Categorical data analysis -- The \chi^2 (chi-square) goodness-of-fit test -- The cards data -- The null hypothesis and the alternative hypothesis -- The ``goodness-of-fit'' test statistic -- The sampling distribution of the GOF statistic -- Degrees of freedom -- Testing the null hypothesis. , Doing the test in jamovi -- Specifying a different null hypothesis -- How to report the results of the test -- The \chi^2 test of independence (or association) -- Constructing our hypothesis test -- Doing the test in jamovi -- The continuity correction -- Effect size -- Assumptions of the test(s) -- The Fisher exact test -- The McNemar test -- Doing the McNemar test in jamovi -- What's the difference between McNemar and independence? -- Summary -- Comparing two means -- The one-sample z-test -- The inference problem that the test addresses -- Constructing the hypothesis test -- A worked example, by hand -- Assumptions of the z-test -- The one-sample t-test -- Introducing the t-test -- Doing the test in jamovi -- Assumptions of the one sample t-test -- The independent samples t-test (Student test) -- The data -- Introducing the test -- A ``pooled estimate'' of the standard deviation -- Completing the test -- Doing the test in jamovi -- Positive and negative t-values -- Assumptions of the Student t-test -- The independent samples t-test (Welch test) -- Doing the Welch test in jamovi -- Assumptions of the Welch test -- The paired-samples t-test -- The data -- What is the paired samples t-test? -- Doing the test in jamovi -- One-sided tests -- Effect size -- Cohen's d from one sample -- Cohen's d from a Student's t-test -- Cohen's d from a paired-samples test -- Checking the normality of a sample -- QQ plots -- QQ plots for independent and paired t-tests -- Shapiro-Wilk tests -- Example -- Testing non-normal data -- Two sample Mann-Whitney U test -- One sample Wilcoxon test -- Summary -- Correlation and linear regression -- Correlations -- The data -- The strength and direction of a relationship -- The correlation coefficient -- Calculating correlations in jamovi -- Interpreting a correlation -- Spearman's rank correlations -- Scatterplots. , More elaborate options -- What is a linear regression model? -- Estimating a linear regression model -- Linear regression in jamovi -- Interpreting the estimated model -- Multiple linear regression -- Doing it in jamovi -- Quantifying the fit of the regression model -- The R^2 value -- The relationship between regression and correlation -- The adjusted R^2 value -- Hypothesis tests for regression models -- Testing the model as a whole -- Tests for individual coefficients -- Running the hypothesis tests in jamovi -- Regarding regression coefficients -- Confidence intervals for the coefficients -- Calculating standardised regression coefficients -- Assumptions of regression -- Model checking -- Three kinds of residuals -- Checking the linearity of the relationship -- Checking the normality of the residuals -- Checking equality of variance -- Checking for collinearity -- Outliers and anomalous data -- Model selection -- Backward elimination -- Forward selection -- A caveat -- Comparing two regression models -- Summary -- Comparing several means (one-way ANOVA) -- An illustrative data set -- How ANOVA works -- Two formulas for the variance of Y -- From variances to sums of squares -- From sums of squares to the F-test -- A worked example -- Running an ANOVA in jamovi -- Using jamovi to specify your ANOVA -- Effect size -- Multiple comparisons and post hoc tests -- Running ``pairwise'' t-tests -- Corrections for multiple testing -- Bonferroni corrections -- Holm corrections -- Writing up the post hoc test -- The assumptions of one-way ANOVA -- Checking the homogeneity of variance assumption -- Running the Levene test in jamovi -- Removing the homogeneity of variance assumption -- Checking the normality assumption -- Removing the normality assumption -- The logic behind the Kruskal-Wallis test -- Additional details. , How to run the Kruskal-Wallis test in jamovi.

Weitere Ausg.: Print version: Navarro, Danielle Learning Statistics with Jamovi Cambridge, UK : Open Book Publishers,c2025

Sprache: Englisch

Schlagwort(e): Electronic books.

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Umfang: 1 online resource (xiv, 476 pages) : , 210 illustrations, 99 tables.

ISBN: 9781800649392

Inhalt: "Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation.Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing.Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work."--Publisher's website.

Anmerkung: Additional resources available from the publisher's website. , Available through Open Book Publishers. , 1. Why do we learn statistics / Danielle Navarro, David Foxcroft -- 2. A brief introduction to research design / Danielle Navarro, David Foxcroft -- 3. Getting started with jamovi / Danielle Navarro, David Foxcroft -- 4. Descriptive statistics / Danielle Navarro, David Foxcroft -- 5. Drawing graphs / Danielle Navarro, David Foxcroft -- 6. Pragmatic matters / Danielle Navarro, David Foxcroft -- 7. Introduction to probability / Danielle Navarro, David Foxcroft -- 8. Estimating unknown quantities from a sample / Danielle Navarro, David Foxcroft -- 9. Hypothesis testing / Danielle Navarro, David Foxcroft -- 10. Categorical data analysis / Danielle Navarro, David Foxcroft -- 11. Comparing two means / Danielle Navarro, David Foxcroft -- 12. Correlation and linear regression / Danielle Navarro, David Foxcroft -- 13. Comparing several means (one-way ANOVA) / Danielle Navarro, David Foxcroft -- 14. Factorial ANOVA / Danielle Navarro, David Foxcroft -- 15. Factor Analysis / Danielle Navarro, David Foxcroft -- 16. Bayesian statistics / Danielle Navarro, David Foxcroft -- Epilogue / Danielle Navarro, David Foxcroft. , Mode of access: World Wide Web.

Sprache: Englisch

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Umfang: 1 Online-Ressource

ISBN: 9781800649392

Anmerkung: Intro -- Preface -- I Beginnings -- Why do we learn statistics -- On the psychology of statistics -- The curse of belief bias -- The cautionary tale of Simpson's paradox -- Statistics in psychology -- Statistics in everyday life -- There's more to research methods than statistics -- A brief introduction to research design -- Introduction to psychological measurement -- Some thoughts about psychological measurement -- Operationalisation: defining your measurement -- Scales of measurement -- Nominal scale -- Ordinal scale -- Interval scale -- Ratio scale -- Continuous versus discrete variables , Some complexities -- Assessing the reliability of a measurement -- The ``role'' of variables: predictors and outcomes -- Experimental and non-experimental research -- Experimental research -- Non-experimental research -- Assessing the validity of a study -- Internal validity -- External validity -- Construct validity -- Face validity -- Ecological validity -- Confounders, artefacts and other threats to validity -- History effects -- Maturation effects -- Repeated testing effects -- Selection bias -- Differential attrition -- Non-response bias -- Regression to the mean -- Experimenter bias , Demand effects and reactivity -- Placebo effects -- Situation, measurement and sub-population effects -- Fraud, deception and self-deception -- Summary -- II An introduction to jamovi -- Getting started with jamovi -- Installing jamovi -- Starting up jamovi -- Analyses -- The spreadsheet -- Variables -- Computed variables -- Copy and paste -- Syntax mode -- Loading data in jamovi -- Importing data from csv files -- Importing unusual data files -- Loading data from text files -- Loading data from SPSS (and other statistics packages) -- Loading Excel files -- Changing data from one level to another , Installing add-on modules into jamovi -- Quitting jamovi -- Summary -- III Working with data -- Descriptive statistics -- Measures of central tendency -- The mean -- Calculating the mean in jamovi -- The median -- Mean or median? What's the difference? -- A real-life example -- Mode -- Measures of variability -- Range -- Interquartile range -- Mean absolute deviation -- Variance -- Standard deviation -- Which measure to use? -- Skew and kurtosis -- Descriptive statistics separately for each group -- Standard scores -- Summary -- Drawing graphs -- Histograms -- Boxplots -- Violin plots , Drawing multiple boxplots -- Using box plots to detect outliers -- Bar graphs -- Saving image files using jamovi -- Summary -- Pragmatic matters -- Tabulating and cross-tabulating data -- Creating tables for single variables -- Adding percentages to a contingency table -- Logical expressions in jamovi -- Assessing mathematical truths -- Logical operations -- Applying logical operation to text -- Transforming and recoding a variable -- Creating a transformed variable -- Collapsing a variable into a smaller number of discrete levels or categories

Sprache: Englisch

URL: kostenfrei

UID:

Umfang: 1 online resource

ISBN: 1800649398 , 9781800649392

Anmerkung: Intro -- Preface -- I Beginnings -- Why do we learn statistics -- On the psychology of statistics -- The curse of belief bias -- The cautionary tale of Simpson's paradox -- Statistics in psychology -- Statistics in everyday life -- There's more to research methods than statistics -- A brief introduction to research design -- Introduction to psychological measurement -- Some thoughts about psychological measurement -- Operationalisation: defining your measurement -- Scales of measurement -- Nominal scale -- Ordinal scale -- Interval scale -- Ratio scale -- Continuous versus discrete variables , Some complexities -- Assessing the reliability of a measurement -- The ``role'' of variables: predictors and outcomes -- Experimental and non-experimental research -- Experimental research -- Non-experimental research -- Assessing the validity of a study -- Internal validity -- External validity -- Construct validity -- Face validity -- Ecological validity -- Confounders, artefacts and other threats to validity -- History effects -- Maturation effects -- Repeated testing effects -- Selection bias -- Differential attrition -- Non-response bias -- Regression to the mean -- Experimenter bias , Demand effects and reactivity -- Placebo effects -- Situation, measurement and sub-population effects -- Fraud, deception and self-deception -- Summary -- II An introduction to jamovi -- Getting started with jamovi -- Installing jamovi -- Starting up jamovi -- Analyses -- The spreadsheet -- Variables -- Computed variables -- Copy and paste -- Syntax mode -- Loading data in jamovi -- Importing data from csv files -- Importing unusual data files -- Loading data from text files -- Loading data from SPSS (and other statistics packages) -- Loading Excel files -- Changing data from one level to another , Installing add-on modules into jamovi -- Quitting jamovi -- Summary -- III Working with data -- Descriptive statistics -- Measures of central tendency -- The mean -- Calculating the mean in jamovi -- The median -- Mean or median? What's the difference? -- A real-life example -- Mode -- Measures of variability -- Range -- Interquartile range -- Mean absolute deviation -- Variance -- Standard deviation -- Which measure to use? -- Skew and kurtosis -- Descriptive statistics separately for each group -- Standard scores -- Summary -- Drawing graphs -- Histograms -- Boxplots -- Violin plots , Drawing multiple boxplots -- Using box plots to detect outliers -- Bar graphs -- Saving image files using jamovi -- Summary -- Pragmatic matters -- Tabulating and cross-tabulating data -- Creating tables for single variables -- Adding percentages to a contingency table -- Logical expressions in jamovi -- Assessing mathematical truths -- Logical operations -- Applying logical operation to text -- Transforming and recoding a variable -- Creating a transformed variable -- Collapsing a variable into a smaller number of discrete levels or categories

Sprache: Englisch

Schlagwort(e): Electronic books.

URL: Open Book Publishers

URL: Click here to view book