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The introduction to statistics that psychology students can't
afford to be without
Understanding statistics is a requirement for obtaining and
making the most of a degree in psychology, a fact of life that
often takes first year psychology students by surprise. Filled with
jargon-free explanations and real-life examples, Psychology
Statistics For Dummies makes the often-confusing world of
statistics a lot less baffling, and provides you with the
step-by-step instructions necessary for carrying out data
analysis.
Psychology Statistics For Dummies:
Serves as an easily accessible supplement to doorstop-sized
psychology textbooks
Provides psychology students with psychology-specific
statistics instruction
Includes clear explanations and instruction on performing
statistical analysis
Teaches students how to analyze their data with SPSS, the most
widely used statistical packages among students
Auteur
Donncha Hanna, PhD is a psychology lecturer at Queen's University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster, PhD is a health psychologist and the research coordinator for the Doctorate in Clinical Psychology programme at Queen's University Belfast.
Texte du rabat
Learn to:
Identify key concepts and pass your course The quick, easy way to master all the statistics you'll ever need The bad news first: if you want a psychology degree you'll need to know statistics. Now for the good news: Psychology Statistics For Dummies. Featuring jargon-free explanations, step-by-step instructions and dozens of real-life examples, Psychology Statistics For Dummies makes the knotty world of statistics a lot less baffling. Rather than padding the text with concepts and procedures irrelevant to the task, the authors focus only on the statistics psychology students need to know. As an alternative to typical, lead-heavy statistics texts or supplements to assigned course reading, this is one book psychology students won't want to be without.
Analyse by inference – master key methods in inferential statistics, including techniques for analysing independent groups designs and repeated-measures research designs Open the book and find:
Résumé
The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis.
Psychology Statistics For Dummies:
Contenu
Introduction 1
About This Book 2
What You're Not to Read 2
Foolish Assumptions 3
How this Book is Organised 3
Icons Used in This Book 4
Where to Go from Here 5
Part I: Describing Data 7
Chapter 1: Statistics? I Thought This Was Psychology! 9
Know Your Variables 10
What is SPSS? 11
Descriptive Statistics 12
Central tendency 12
Dispersion 12
Graphs 13
Standardised scores 13
Inferential Statistics 13
Hypotheses 14
Parametric and non-parametric variables 14
Research Designs 15
Correlational design 15
Experimental design 16
Independent groups design 16
Repeated measures design 17
Getting Started 18
Chapter 2: What Type of Data Are We Dealing With? 19
Understanding Discrete and Continuous Variables 20
Looking at Levels of Measurement 21
Measurement properties 21
Types of measurement level 23
Determining the Role of Variables 24
Independent variables 25
Dependent variables 25
Covariates 26
Chapter 3: Inputting Data, Labelling and Coding in SPSS 27
Variable View Window 28
Creating variable names 29
Deciding on variable type 30
Displaying the data: The width, decimals, columns and align headings 32
Using labels 33
Using values 34
Dealing with missing data 36
Assigning the level of measurement 37
Data View Window 39
Entering new data 40
Creating new variables 42
Sorting cases 43
Recoding variables 45
Output Window 48
Using the output window 48
Saving your output 51
Chapter 4: Measures of Central Tendency 53
Defining Central Tendency 54
The Mode 55
Determining the mode 55
Knowing the advantages and disadvantages of using the mode 58
Obtaining the mode in SPSS 59
The Median 64
Determining the median 64
Knowing the advantages and disadvantages to using the median 66
Obtaining the median in SPSS 67
The Mean 68
Determining the mean 68
Knowing the advantages and disadvantages to using the mean 69
Obtaining the mean in SPSS 69
Choosing between the Mode, Median and Mean 71
Chapter 5: Measures of Dispersion 73
Defining Dispersion 73
The Range 74
Determining the range 74
Knowing the advantages and disadvantages of using the range 75
Obtaining the range in SPSS 76
The Interquartile Range 78
Determining the interquartile range 78
Knowing the advantages and disadvantages of using the interquartile range 81
Obtaining the interquartile range in SPSS 82
The Standard Deviation 83
Defining the standard deviation 83
Knowing the advantages and disadvantages of using the standard deviation 87
Obtaining the standard deviation in SPSS 87
Choosing between the Range, Interquartile Range and Standard Deviation 89
Chapter 6: Generating Graphs and Charts 91
The Histogram 91
Understanding the histogram 92
Obtaining a histogram in SPSS 96
The Bar Chart 98
Understanding the bar chart 98
Obtaining a bar chart in SPSS 100
The Pie Chart 101
Understanding the pie chart 101
Obtaining a pie chart in SPSS 103
The Box and Whisker Plot 103
Understanding the box and whisker plot 104
Obtaining…