1 Tutorial 2 GE 5 Tutorial 2  rules of engagement no computer or no power → no lesson no computer or no power → no lesson no SPSS → no lesson no SPSS.

Slides:



Advertisements
Similar presentations
Quantitative Methods in HPELS 440:210
Advertisements

Brought to you by Tutorial Support Services The Math Center.
SPSS Review CENTRAL TENDENCY & DISPERSION
QUANTITATIVE DATA ANALYSIS
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
Measures of Dispersion CJ 526 Statistical Analysis in Criminal Justice.
SOC 3155 SPSS CODING/GRAPHS & CHARTS CENTRAL TENDENCY & DISPERSION.
Central Tendency & Variability Dec. 7. Central Tendency Summarizing the characteristics of data Provide common reference point for comparing two groups.
Learning Objectives In this chapter you will learn about the importance of variation how to measure variation range variance standard deviation.
UDM MSC COURSE IN EDUCATION & DEVELOPMENT 2013 –
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)
Lecture 4 Dustin Lueker.  The population distribution for a continuous variable is usually represented by a smooth curve ◦ Like a histogram that gets.
Descriptive Statistics Used to describe the basic features of the data in any quantitative study. Both graphical displays and descriptive summary statistics.
1 GE5 Tutorial 3 rules of engagement no computer or no power → no lessonno computer or no power → no lesson no SPSS → no lessonno SPSS → no lesson no homework.
Descriptive Statistics Anwar Ahmad. Central Tendency- Measure of location Measures descriptive of a typical or representative value in a group of observations.
Chapter 3 Descriptive Measures
Statistics 1 Measures of central tendency and measures of spread.
1 Describing distributions with numbers William P. Wattles Psychology 302.
1 Tutorial 1 GE 5 Conducting research
1 rules of engagement no computer or no power → no lesson no SPSS → no lesson no homework done → no lesson GE 5 Tutorial 5.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
Lecture 5 Dustin Lueker. 2 Mode - Most frequent value. Notation: Subscripted variables n = # of units in the sample N = # of units in the population x.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Measures of Central Tendency Foundations of Algebra.
SOC 3155 SPSS CODING/GRAPHS & CHARTS CENTRAL TENDENCY & DISPERSION h458 student
SOC 3155 SPSS Review CENTRAL TENDENCY & DISPERSION.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Lecture 4 Dustin Lueker.  The population distribution for a continuous variable is usually represented by a smooth curve ◦ Like a histogram that gets.
Statistics 1: Introduction to Probability and Statistics Section 3-2.
Welcome to MM570 Applies Statistics for Psychology Unit 2 Seminar Dr. Bob Lockwood.
Descriptive Statistics. Outline of Today’s Discussion 1.Central Tendency 2.Dispersion 3.Graphs 4.Excel Practice: Computing the S.D. 5.SPSS: Existing Files.
LIS 570 Summarising and presenting data - Univariate analysis.
Today: Standard Deviations & Z-Scores Any questions from last time?
Lesson 25 Finding measures of central tendency and dispersion.
Aron, Aron, & Coups, Statistics for the Behavioral and Social Sciences: A Brief Course (3e), © 2005 Prentice Hall Chapter 2 The Mean, Variance, Standard.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
Summation Notation, Percentiles and Measures of Central Tendency Overheads 3.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Data Description Chapter 3. The Focus of Chapter 3  Chapter 2 showed you how to organize and present data.  Chapter 3 will show you how to summarize.
Chapter 6: Descriptive Statistics. Learning Objectives Describe statistical measures used in descriptive statistics Compute measures of central tendency.
Chapter 14 Statistics and Data Analysis. Data Analysis Chart Types Frequency Distribution.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
SOC 3155 SPSS CODING/GRAPHS & CHARTS CENTRAL TENDENCY & DISPERSION h458 student
Measures of Variation. Variation Variation describes how widely data values are spread out about the center of a distribution.
SPSS CODING/GRAPHS & CHARTS CENTRAL TENDENCY & DISPERSION
Measures of Central Tendency
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores
Means & Medians Chapter 4.
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Theme 4 Describing Variables Numerically
Central Tendency.
Please take out Sec HW It is worth 20 points (2 pts
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
CHAPTER 1 Exploring Data
Statistics 1: Introduction to Probability and Statistics
Describing distributions with numbers
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Lecture 4 Psyc 300A.
Presentation transcript:

1 Tutorial 2 GE 5 Tutorial 2  rules of engagement no computer or no power → no lesson no computer or no power → no lesson no SPSS → no lesson no SPSS → no lesson no homework done → no lesson no homework done → no lesson

2 Steps in the research process collecting data: Exproting from LimeSurvey processing and displaying data: SPSS Today an important part: chapter 3 and 5 (standard deviation) (Howitt and Cramer)

3 Content seminar 2 1. Quiz (chapters from Howitt & Cramer) 2. Discussion homework (assignment 1 + 2) 3. Describing variables numerically (chapter Howitt & Cramer) 4. Importing a websurvey (LimeSurvey) 5. SPSS workshop 6. Discussion homework next week

4 1. Quiz

5 Quiz Chapter 1, 2 & 3 Howitt & Cramer Password:

6 2. Discussion homework Questions about! Deadline Friday

7 Describing variables numerically: Averages, variation and spread Introduction Typical scores: mean, median and mode Comparison of mean, median and mode The spread of scores: range, min, max, variance, standard deviation.

8 Measures of central tendency mean or 'arithmetic mean' (page 25-26) median (page 26-27) mode (page 27-28)

9 1. Mean The mean is calculated by summing up all of the scores in a distribution and dividing it by the number of scores. In statistical notation:

10 Statistical notation  Statistics uses basic mathematical  operations and notation, but also some  specific notation: Scores are referred to as X (and Y, etc.). N is the number of scores in a population and n is the number of scores in a sample. The frequently used symbol Σ (Greek capital S) stands for ‘summation’. The summation sign ( Σ ) instructs you to add up a set of scores. The Σ is followed by a symbol or equation that defines what is to be summed. NOW calculate Σ X. Use the formula to calculate the mean nrX

11 3. Mode The mode is the most frequently occurring category

12 Mode  Most frequent value in a distribution

13 Mode

14 2. Median The median is the midpoint of the scores in a distribution when they are listed in order from smallest to largest. The median divides the scores into two groups of equal size.

15 Median  The value in the middle of the distribution

16 Median  The value in the middle of the distribution

17 Mean  The point of balance in the distribution

18 Mean  The point of balance in the distribution

19 Mean  The point of balance in the distribution

20 Mean versus median  Mean and median measure central tendency,  using two different concepts of “middle”: Mean is the balance point of a distribution: defined by distances Median is the midpoint of a distribution: defined by number of scores

21 Calculate the mode, median and the mean of the following scores: 3, 3, 3, 3, 3, 3 0, 0, 0, 0, 0, 0, 0, 0,10, , 331, 331, 332, 335

22 Central tendency and level of measurement modemedianmean nominalYes ordinalYes interval/ratioYes

23 Variability / Dispersion Overview  Variability, spread and dispersion are all terms to describe how similar the values of X are to each other.  The focus will be on four ways to describe variability: minimum & maximum range variance Standard deviation

24 Range Minimum & maximum Range  Calculate the minimum, maximum and range of the following values:  3, 5, 4, 3, 7

25 Variability is necessary next to mean  report marks: mean7,0

26 Variabilility  report marks: mean7,0

27 Range  report marks: range82

28 Range is still not precise enough  report marks: range88

29 Variance Symbols used: s2, insert sigma, var defining formula computational formula (page 32-33): less important frequently used in statistics variance estimate, used for samples (page 34)

30 Standard deviation mean deviation from the mean

31 4. LimeSurvey

32 5. SPSS workshop

33 Data BIG smartie survey 2014 Export from LimeSurvey Import in SPSS Check variables Check cases on outliers and exclude them from a copied dataset Check measurement levels Define missing values

34 Step 1: Export data from LimeSurvey Start Limesurvey Open Button  Responses and Statistics Button (export results to SPSS) Download syntax file and data file

35 Step 2: Import data in SPSS Open the SPSS syntax file downloaded from LimeSurvey (SPSS will start) Adapt line x: fill in (after FILE = ) the name of the data file (including extension and complete path to the file!) and put the name between quotation marks Choose 'Run/All' (or select all and push the green arrow)

36 Variable name and labels name: variable name label: variable labels values: value labels

37 Variable type and measure  Type: numeric: figures (real figures and codes) string: names etc. (no mean calculation etc.) other: less important (dates etc.)  Measure: scale ordinal nominal

38 Defining missing values  Specify missing values to remove missing  answers in your analysis: Go to screen ‘Variable View’ Click on the grey square in [MISSING] column Provide (one or more) missing values Close with [OK]

39 Measures in class SPSS assignment  Measures of central tendency: on different levels of measurement Mean Median Mode  Measures of variability: Range (and minimum and maximum) Variance Standard deviation

40 Data transformations Recoding variables (Recode) Computing new variables (Compute and Count)

41 6. Homework

42 Some terms to remember central tendency mean median mode variability, spread Range Minimum maximum variance outlier …

43 Homework: Assignment 3 See Moodle