MEMORY PERSPECTIVES: DATA ANALYSIS Week 9 Practical.

Slides:



Advertisements
Similar presentations
Analysis of Variance (ANOVA)
Advertisements

Factorial Designs & Managing Violated Statistical Assumptions
MEMORY PERSPECTIVES: INTRODUCTION Week 8 Practical.
RISKY SHIFT: LAB REPORT WRITE-UP Week 7 Practical.
WASON CARD SORT: INTRODUCTION Week 2 Practical. WEEK 2 PRACTICALWASON CARD SORT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10.
Comparing Two Means: One-sample & Paired-sample t-tests Lesson 12.
Inferential Statistics and t - tests
RISKY SHIFT: INTRODUCTION Week 5 Practical. WEEK 5 PRACTICALRISKY SHIFT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10 LECTUREPRACTICAL.
WASON CARD SORT: LAB REPORT WRITE-UP Week 4 Practical.
WASON CARD SORT: DATA ANALYSIS Week 3 Practical. WEEK 3 PRACTICALWASON CARD SORT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10.
WASON CARD SORT: DATA ANALYSIS Week 3 Practical. WEEK 3 PRACTICALWASON CARD SORT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10.
RISKY SHIFT: DATA ANALYSIS Week 6 Practical. WEEK 6 PRACTICALRISKY SHIFT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10 LECTURE.
Using the P-Value Section P-Value (Observed Significance Level)  It’s the measure of the inconsistency between the hypothesized value for a population.
Statistics for the Social Sciences Psychology 340 Fall 2006 Using t-tests.
Statistics for the Social Sciences
Statistics for the Social Sciences
The t Test for Independent Means
Chapter 18: The Chi-Square Statistic
Kruskal Wallis and the Friedman Test.
Tests of Significance for Regression & Correlation b* will equal the population parameter of the slope rather thanbecause beta has another meaning with.
Contingency Tables Chapters Seven, Sixteen, and Eighteen Chapter Seven –Definition of Contingency Tables –Basic Statistics –SPSS program (Crosstabulation)
Independent t -test Features: One Independent Variable Two Groups, or Levels of the Independent Variable Independent Samples (Between-Groups): the two.
Chapter 8 The t Test for Independent Means Part 2: Oct. 15, 2013.
Conceptual Review Conceptual Formula, Sig Testing Calculating in SPSS
RISKY SHIFT: INTRODUCTION Week 5 Practical. WEEK 5 PRACTICALRISKY SHIFT WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10 LECTURE.
Research methods and statistics
Inferences About Means of Two Independent Samples Chapter 11 Homework: 1, 2, 3, 4, 6, 7.
1 PS1006 Lecture 5 Results sections - General format Sam Cromie.
MEMORY PERSPECTIVES: INTRODUCTION Week 8 Practical.
Inferences About Means of Two Independent Samples Chapter 11 Homework: 1, 2, 4, 6, 7.
ANOVA  Used to test difference of means between 3 or more groups. Assumptions: Independent samples Normal distribution Equal Variance.
The Research Skills exam: The four horsemen of the apocalypse: pestilence, war, famine and the RS1 exam.
Mann-Whitney and Wilcoxon Tests.
Repeated Measures ANOVA
Lecturer’s desk INTEGRATED LEARNING CENTER ILC 120 Screen Row A Row B Row C Row D Row E Row F Row G Row.
TAUCHI – Tampere Unit for Computer-Human Interaction ERIT 2015: Data analysis and interpretation (1 & 2) Hanna Venesvirta Tampere Unit for Computer-Human.
Lecturer’s desk INTEGRATED LEARNING CENTER ILC 120 Screen Row A Row B Row C Row D Row E Row F Row G Row.
Research Project Statistical Analysis. What type of statistical analysis will I use to analyze my data? SEM (does not tell you level of significance)
WASON CARD SORT: LAB REPORT WRITE-UP Week 4 Practical.
Analysis of Variance 1 Dr. Mohammed Alahmed Ph.D. in BioStatistics (011)
ANOVA: Analysis of Variance.
Experimental Psychology PSY 433 Appendix B Statistics.
Stats Lunch: Day 8 Repeated-Measures ANOVA and Analyzing Trends (It’s Hot)
Multivariate Analysis: Analysis of Variance
Tuesday, September 24, 2013 Independent samples t-test.
Handout Twelve: Design & Analysis of Covariance
Nonparametric Statistics: ANOVA STAT E-150 Statistical Methods.
Handout Ten: Mixed Design Analysis of Variance EPSE 592 Experimental Designs and Analysis in Educational Research Instructor: Dr. Amery Wu Handout Ten:
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Fall 2015 Room 150 Harvill.
Chapter 13 Understanding research results: statistical inference.
MEMORY PERSPECTIVES: DATA ANALYSIS Week 9 Practical.
Oneway ANOVA comparing 3 or more means. Overall Purpose A Oneway ANOVA is used to compare three or more average scores. A Oneway ANOVA is used to compare.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2016 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
An Introduction to Two-Way ANOVA
Understanding and conducting
PSYC 355 Enthusiastic Studysnaptutorial.com
Interactions & Simple Effects finding the differences
Statistics for the Social Sciences
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2016 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Chapter 13 Group Differences
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2018 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Multivariate Analysis: Analysis of Variance
Analysis of Variance: repeated measures
MEMORY PERSPECTIVES: DATA ANALYSIS Week 9 Practical.
RISKY SHIFT: DATA ANALYSIS Week 6 Practical.
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Presentation transcript:

MEMORY PERSPECTIVES: DATA ANALYSIS Week 9 Practical

WEEK 9 PRACTICALMEMORY PERSPECTIVES WEEK 1 WEEK 2 WEEK 3 WEEK 4 WEEK 5 WEEK 6 WEEK 7 WEEK 8 WEEK 9 WEEK 10 LECTURE 1PRACTICAL NONPARAMETRICS 11 ST PRACTICAL NONPARAMETRICS 21 ST ANALYSIS SAMPLING DISTRIBUTIONS 1 ST ANALYSIS + PROBLEMS 1 HYPOTHESIS TESTING 2 ND PRACTICAL RELATED T-TEST 2 ND ANALYSIS + SOLUTIONS 1 INDEPENDENT T-TEST INDEPENDENT ANOVA DEPENDENT ANOVA 2 ND ANALYSIS + PROBLEMS 2 3 RD PRACTICAL 3 RD ANALYSIS + SOLUTIONS 2 3 RD ANALYSIS + PROBLEMS 3 NO LECTURENO PRACTICAL

LEARNING OUTCOMES BY THE END OF THE SESSION, YOU SHOULD BE ABLE TO: Produce a (very nice) graph in Excel which assists in the interpretation of the data. Use SPSS to test the second hypothesis in the memory perspectives practical and interpret the output. Use SPSS to test the first hypothesis in the memory perspectives practical and interpret the output. Make a start on writing up your RESULTS and DISCUSSION sections for your lab report. MEMORY PERSPECTIVES

RESULTS The first 2 columns show subject id and group membership. The last two columns show recall for LIST A (BURGLAR) and LIST B (BUYER). MEMORY PERSPECTIVES (Perspect 0 = BURGLAR; Perspect 1 = BUYER)

RESULTS In SPSS, Independent t-test may be found under analysis > compare means > independent-samples t test. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS Q1: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST A (burglar relevant items)? MEMORY PERSPECTIVES

RESULTS SPSS would like to know what the test variables (DV) is. At the moment, we’re just interested in LIST A recall. We also need to define our ‘grouping variable’ (IV) which is BURGLAR (0) or BUYER (1). We have to tell SPSS that our first group is assigned to the number value 0 and the second group to the number value 1. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS Q1: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST A (burglar relevant items)? MEMORY PERSPECTIVES

RESULTS Remember that Levene’s test assesses whether our two groups have equivalent variance. If Levene’s is NON-SIGNIFICANT we assume equality. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS Q1: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST A (burglar relevant items)? With Levene’s F = 1.60, p =.207, we arrive at t(151) = 6.64, p <.001. MEMORY PERSPECTIVES

RESULTS In SPSS, Independent t-test may be found under analysis > compare means > independent-samples t test. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS Let’s repeat this exercise for the second hypothesis. MEMORY PERSPECTIVES Q2: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST B (home-buyer relevant items)?

RESULTS Now, we’re interested in LIST B (buy_fea) recall rather than LIST A (burg_fea) recall, so switch these test variables around. Everything else can stay as is. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS MEMORY PERSPECTIVES Q2: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST B (home-buyer relevant items)?

RESULTS Once again, Levene’s test comes through for us, supporting equal variance between the burglars and the buyers. Independent t-testINTERVAL + BETWEEN Ss + 2 GROUPS With Levene’s F = 1.12, p =.291, we arrive at t(151) = -3.90, p <.001. MEMORY PERSPECTIVES Q2: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST B (home-buyer relevant items)?

RESULTS Q2: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST B (home-buyer relevant items)? Q1: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST A (burglar relevant items)? If you’re hungry for the stats, and wanted to spit out both SPSS output to Q1 and Q2, then all you have to do is define multiple test variables… So, everything’s significant, but what are the directions of these effects? Excel to the rescue. MEMORY PERSPECTIVES DOWNLOAD AND SAVE THE FILE ‘MEMPER_ANALYSIS’

RESULTS DOWNLOAD AND SAVE THE FILE ‘MEMPER_INEXCEL’ To calculate mean: AVERAGE(cell ab :cell cd ) To calculate standard deviation: STDEV(cell ab :cell cd ) To calculate standard error: =STDEV(cell) / sqrt ( no. observations ) To start graphing: Select means and labels THIS SHEET CONTAINS THE SAME DATA AS IN SPSS MEMORY PERSPECTIVES

RESULTS COLUMN MEMORY PERSPECTIVES

RESULTS SELECT SERIES IN COLUMNS > NEXT MEMORY PERSPECTIVES

RESULTS MODIFY MEMORY PERSPECTIVES

RESULTS DOUBLE CLICK ONE SET OF BARS (BURGLARS ARE HIGHLIGHTED) MEMORY PERSPECTIVES

RESULTS ADD CUSTOM +/- STANDARD ERROR RELATED TO THOSE BARS MEMORY PERSPECTIVES

RESULTS REPEAT FOR THE OTHER SET OF BARS (BUYERS ARE HIGHLIGHTED) MEMORY PERSPECTIVES

RESULTS Q2: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST B (home- buyer relevant items)? Q1: Do ‘BURGLARS’ and ‘BUYERS’ have different levels of recall for LIST A (burglar relevant items)? LIST A BURGLARS > BUYERS MEMORY PERSPECTIVES LIST B BURGLARS < BUYERS What implications do these two hypotheses have for the memory perspectives account?

LEARNING OUTCOMESMEMORY PERSPECTIVES BY THE END OF THE SESSION, YOU SHOULD BE ABLE TO: Produce a (very nice) graph in Excel which assists in the interpretation of the data. Use SPSS to test the second hypothesis in the memory perspectives practical and interpret the output. Use SPSS to test the first hypothesis in the memory perspectives practical and interpret the output. Make a start on writing up your RESULTS and DISCUSSION sections for your lab report.

MEMORY PERSPECTIVES THERE IS NO PRACTICAL SESSION IN WEEK 10 CLARIFY ANY OUTSTANDING ISSUES YOU HAVE WITH YOUR TUTORS NOW...

DISCUSSION GET TOGETHER IN GROUPS OF THREE OR FOUR AND REFLECT ON TODAY’S EXPERIENCE USING THE FOLLOWING QUESTIONS What are the combined factors that justify this statistical test? Are there any interesting observations to be made from the data? Could I have made one- tailed hypotheses? How would this have changed the p value? MEMORY PERSPECTIVES