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Official release of STATISTICAL TOOLS An Overview of Common Applications in Social Sciences. Manfred te Grotenhuis. Theo van der Weegen. Presentation has three parts: Brief history of the project (the making of Statistical Tools) Overview of contents (what is inside the toolbox)
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Official release of STATISTICAL TOOLS An Overview of Common Applications in Social Sciences Manfred te Grotenhuis Theo van der Weegen
Presentation has three parts: • Brief history of the project (the making of Statistical Tools) • Overview of contents (what is inside the toolbox) • How to use Statistical Tools (teacher’s point of view)
Brief history of the project • In 1997 I started as a PhD student to teach statistics * <50% passed the exams * Emphasis on formulas, calculations (by hand) * The book ‘ Statistics’ • In 2002 I took over several courses in Statistics * Emphasis shifted to practical applications * >85% passed while course load increased • In 2004 the first textbook was released about SPSS * Basic course in SPSS, 15,000 copies sold • In 2007 the second textbook was released about SPSS * SPSS using Syntax, programming in SPSS (second edition in 2009)
Brief History(continued) • In 2008 ‘Statistiek als hulpmiddel’ was released: a result of 10 years of teaching statistics to students in the Social Sciences • Beginning of 2009, Prof. Hans Schmeets ask for a English version • Problem I: convince publisher (Van Gorcum) * price of the book* number of sales per year* costs for translating the book • Problem II: time table: book had to be ready end of September (which meant that we had to deliver a ready to print manuscript end of July)!
Brief history (continued) Plan: 1) Translation of headers, figures, tables, index by authors 2) Let PhD student do a first translation Dutch English 3) Corrections made by authors 4) Corrections by native speaker 5) Send manuscript to a panel of reviewers 6) Revise. Note that steps 2 to 6 were conducted per chapter to save time! Start end of February, finished end of July (5 months)
STATISTICAL TOOLS: Contents CHAPTER 1: STATISTICAL DATA 1.1 Introduction 1.2 Four Levels of Measurement (nominal, ordinal, interval and ratio) 1.3 Selecting Units of Analysis: Random Sampling 1.4 Collecting Statistical Data(Survey, Experiment, Observation, Secondary Data) 1.5 Data Quality (Validity, Reliability, Representativity, Missing Data) 1.6 From Collecting Data to Answering Research Questions
CHAPTER 2: Descriptive Statistics 2.1 Introduction 2.2 Graphical Description of a Single Variable (Bar, Pie, Histogram) 2.3 Numerical Description of a Single Variable 2.3.1 Measures of Central Tendency (Mode, Median, Mean) 2.3.2 Measures of Variability (Range, IQR, Outliers, variance, Std. Deviation) 2.3.3 Measures of Relative Standing (Percentiles, Z-scores, Empirical Rule) 2.4 Statistical Relations between Two Variables 2.4.1 Graphical Description of a Bivariate Relation (Box Plot, Scatter Plot, Line Graph) 2.5 Summary
CHAPTER 3: Inferential Statistics 3.1 Introduction to Statistical Inference (Central Limit Theorem, CI, Test Hypotheses) 3.2 One-Sample tests 3.2.1 Test for a mean 3.2.2 Test for a proportion 3.3 Tests for Comparing Two Means 3.3.1 Paired Samples T-test (two dependent groups) 3.3.2 Two-Sample T-test (two independent groups) 3.3.3 Analysis of Variance (> 2 independent groups)
CHAPTER 3: Inferential Statistics (continued) 3.4 Measures of Association for Nominal/Ordinal Variables 3.4.1 Associations in Contingency Tables Percentages 3.4.2 Measures of Association for Nominal Variables Chi-Square Test and Cramér's V 3.4.3 Measures of Association for Ordinal Variables Kendall's Rank Correlation: Tau b and Tau c Spearman's Rank Correlation 3.5 Measures of Association for Interval/Ratio Variables 3.5.1 Pearson's Correlation Coefficient 3.5.2 Linear Regression Analysis 3.5.3 Odds Ratio
CHAPTER 3: Inferential Statistics (continued) 3.6 Multivariate Analysis (>1 indep. variable, 1 dep. var) 3.6.1 Five Different Causal Multivariate Models Mediation Spuriousness Partial Mediation / Partial Spuriousness Suppression Moderation / Interaction 3.6.2 Multiple Linear Regression Analysis Modeling Interval and Ratio Predictor Variables Modeling Ordinal and Nominal Predictor Variables Linear Regression Analysis: Assumptions 3.7 Summary Index Notes
How the use the Toolbox? (from a teacher’s point of view) • The Book:- Text ,Tables, Figures • Example mean.df • Example standard deviation.pdf • Example tough one pdf • The examples in the book were chosen from a database of examples we collected and presented during the last ten years. • The Internet:- The exercises (example internet / examples on usb)
How the use the Toolbox? • (from a teacher’s point of view) • We need 11 meetings to address everything in the book (4 on descriptive statistics / 7 on inferential statistics) • In each meeting 60 minutes are related to the text, figures and tables, and 30 minutes to the exercises
Official release of STATISTICAL TOOLS The End QUESTIONS and/or REMARKS?