Lampiran 4. Validitas dan Reliabilitas Prosoial Variabel Prososial (Putaran Pertama)
|
|
|
- Charlotte Butler
- 6 years ago
- Views:
Transcription
1
2
3
4
5 86 Lampiran 4. Validitas dan Reliabilitas Prosoial Variabel Prososial (Putaran Pertama) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
6 87 Scale Mean if Item Deleted Item-Total Statistics Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem Scale Statistics Mean Variance Std. Deviation N of Items
7 88 Variabel Prososial (Putaran Kedua) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
8 89 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem Scale Statistics Mean Variance Std. Deviation N of Items
9 90 Variabel Prososial (Putaran Ketiga) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
10 91 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem Scale Statistics Mean Variance Std. Deviation N of Items
11 92 Lampiran 5. Validitas dan Reliabilitas Variabel Empati (Putaran Kesatu) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
12 93 Scale Mean if Item Deleted Item-Total Statistics Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem
13 94 Scale Statistics Mean Variance Std. Deviation N of Items Variabel Empati (Putaran Kedua) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
14 95 Scale Mean if Item Deleted Item-Total Statistics Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem Scale Statistics Mean Variance Std. Deviation N of Items
15 96 Variabel Empati (Putaran Ketiga) Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items
16 97 Item-Total Statistics Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem aitem Scale Statistics Mean Variance Std. Deviation N of Items
17 98 Lampiran 6. Uji Normalitas dan Uji Linearitas Uji Normalitas Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Empati % 0.0% % Prososial % 0.0% %
18 100 Descriptives Statistic Std. Error Empati Mean Prososi al 95% Confidence Interval for Mean Lower Bound Upper Bound % Trimmed Mean Median Variance Std. Deviation Minimum 24 Maximum 58 Range 34 Interquartile Range 6 95% Confidence Interval for Mean Skewness Kurtosis Mean Lower Bound Upper Bound % Trimmed Mean Median Variance Std. Deviation Minimum 27 Maximum 54 Range 27 Interquartile Range 7 Skewness Kurtosis
19 101 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Empati Prososial * a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Uji Linearitas Case Processing Summary Empati * Prososial Cases Included Excluded Total N Percent N Percent N Percent % 0.0% %
20 102 Empati Report Prososial Mean N Std. Deviation Total ANOVA Table Empati * Prososial Between Groups Sum of Squares df Mean Square F Sig. (Combined) Linearity Deviation from Linearity Within Groups Total
21 103 Measures of Association R R Squared Eta Eta Squared Empati * Prososial Lampiran 7. Uji Korelasi Uji Korelasi Correlations Empati Prososial Empati Pearson Correlation ** Sig. (2-tailed).000 N Prososial Pearson Correlation.894 ** 1 Sig. (2-tailed).000 N **. Correlation is significant at the 0.01 level (2-tailed).
22 104 Lampiran 8. Tabulasi Silang antara Empati dan Kecenderungan Perilaku Prososial Terhadap Siswa Berkebutuhan Khusus Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent empati * prososial % 0.0% % empati * prososial Crosstabulation prososial sangat tinggi tinggi rendah Total empati sangat tinggi Count % of Total 12.9%.0%.0% 12.9% tinggi Count % of Total 22.6% 48.4%.0% 71.0% sedang Count % of Total.0% 12.9%.0% 12.9% sangat rendah Count % of Total.0%.0% 3.2% 3.2% Total Count % of Total 35.5% 61.3% 3.2% 100.0%
23 105 Lampiran 9. Tabulasi Silang antara Kedua VariabelPrososial dan Empati Berdasarkan JenisKelamin Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent jeniskelamin * empati % 0.0% % jeniskelamin * prososial % 0.0% % Jeniskelamin * empati Crosstabulation empati SANGAT TINGGI TINGGI SEDANG SANGAT RENDAH Total Jeniskela min LAKI-LAKI Count % of Total 6.5% 29.0% 9.7% 3.2% 48.4% PEREMPUAN Count % of Total 6.5% 41.9% 3.2%.0% 51.6% Total Count % of Total 12.9% 71.0% 12.9% 3.2% 100.0%
24 106 Jeniskelamin * prososial Crosstabulation prososial SANGAT TINGGI TINGGI RENDAH Total jeniskelamin LAKI-LAKI Count % of Total 12.9% 32.3% 3.2% 48.4% PEREMPUA N Count % of Total 22.6% 29.0%.0% 51.6% Total Count % of Total 35.5% 61.3% 3.2% 100.0%
25
26
LAMPIRAN A KUISIONER
LAMPIRAN A KUISIONER LAMPIRAN B UJI RELIABILITAS DAN UJI VALIDITAS A. Kecerdasan Emosional a. Putaran Pertama Case Processing Summary N % Cases Valid 60 100.0 Excluded a 0.0 60 100.0 a. Listwise deletion
0= Perempuan, 1= Laki-Laki
Responden Menurut Umur Descriptive Statistics N Minimum Maximum Mean Std. Deviation Umur 34 21 56 28,12 6,763 Valid N (listwise) 34 Responden Menurut Jenis Kelamin 0= Perempuan, 1= Laki-Laki Jenis_Kelamin
Skala Stress. Putaran 1 Reliability. Case Processing Summary. N % Excluded a 0.0 Total
Skala Stress Putaran 1 Reliability Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of
Explore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav
![Explore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav](/thumbs/82/84761267.jpg "Explore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav")
EXAMINE VARIABLES=nc228 BY sexcntry /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Notes Output Created Comments Input Missing
Item-Total Statistics
64 Reliability Case Processing Summary N % Cases Valid 46 00.0 Excluded a 0.0 46 00.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items.869
Here are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics :
Descriptive Statistics in SPSS When first looking at a dataset, it is wise to use descriptive statistics to get some idea of what your data look like. Here is a simple dataset, showing three different
Lampiran 3. Hasil Uji Validitas
87 Lampiran 3. Hasil Uji Validitas 1. Image Correlations IMAGE IMAGE IMAGE IMAGE IMAGE JML SKOR 1 2 3 4 5 IMAGE Spearman's rho IMAGE 1 Correlation Coefficient 1.000.465 **.521 **.089.240.686 ** Sig. (2-tailed)..010.003.641.201.000
Appendix 1. A. Procedure for preparing histopathology slides. The liver removed and stored immediately in buffered formalin 10 % for
Appendix 1 A. Procedure for preparing histopathology slides. The liver removed and stored immediately in buffered formalin 10 % for histopathological examination. The tissue fixed for at least 48 hours
Subescala D CULTURA ORGANIZACIONAL. Factor Analysis
Subescala D CULTURA ORGANIZACIONAL Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 3,44 1,244 224 2 3,43 1,258 224 3 4,50,989 224 4 4,38 1,118 224 5 4,30 1,151 224 6 4,27 1,205
Subescala B Compromisso com a organização escolar. Factor Analysis
Subescala B Compromisso com a organização escolar Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 4,42 1,108 233 2 4,41 1,001 233 3 4,99 1,261 233 4 4,37 1,055 233 5 4,48 1,018
APÊNDICE 6. Análise fatorial e análise de consistência interna
APÊNDICE 6 Análise fatorial e análise de consistência interna Subescala A Missão, a Visão e os Valores A ação do diretor Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 4,46 1,056
Business Research Methods. Introduction to Data Analysis
Business Research Methods Introduction to Data Analysis Data Analysis Process STAGES OF DATA ANALYSIS EDITING CODING DATA ENTRY ERROR CHECKING AND VERIFICATION DATA ANALYSIS Introduction Preparation of
APPENDIX 1 ETHICAL CLEARANCE
APPENDIX 1 ETHICAL CLEARANCE 75 APPENDIX 2 76 PROCEDURE FOR PREPARING OF LIVER HISTOLOGY SLIDES Overview: Histology involves the use of a set of techniques to examine the morphology, architecture and composition
1. Below is the output of a 2 (gender) x 3(music type) completely between subjects factorial ANOVA on stress ratings
SPSS 3 Practice Interpretation questions A researcher is interested in the effects of music on stress levels, and how stress levels might be related to anxiety and life satisfaction. 1. Below is the output
Theoretical Exam. Monday 15 th, Instructor: Dr. Samir Safi. 1. Write your name, student ID and section number.
بسم االله الرحمن الرحيم COMPUTER & DATA ANALYSIS Theoretical Exam FINAL THEORETICAL EXAMINATION Monday 15 th, 2007 Instructor: Dr. Samir Safi Name: ID Number: Instructor: INSTRUCTIONS: 1. Write your name,
Statistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.
Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations. Descriptive Statistics Numerical facts or observations that are organized describe
ANOVA in SPSS (Practical)
ANOVA in SPSS (Practical) Analysis of Variance practical In this practical we will investigate how we model the influence of a categorical predictor on a continuous response. Centre for Multilevel Modelling
NEUROBLASTOMA DATA -- TWO GROUPS -- QUANTITATIVE MEASURES 38 15:37 Saturday, January 25, 2003
NEUROBLASTOMA DATA -- TWO GROUPS -- QUANTITATIVE MEASURES 38 15:37 Saturday, January 25, 2003 Obs GROUP I DOPA LNDOPA 1 neurblst 1 48.000 1.68124 2 neurblst 1 133.000 2.12385 3 neurblst 1 34.000 1.53148
Lampiran 2. Anova kadar air wet basis, kadar air dry basis dan Aw Serbuk Instan Temumangga
7. LAMPIRA Lampiran 1. Tes ormalitas Kadar Air Wet Basis, Kadar Air Dry Basis dan Aw Serbuk Instan Temumangga Tests of ormality kadar_air_wet_basis kadar_air_dry_basis Aw a. Lillief ors Signif icance Correction
Use Survey Happiness Complete. SAV file on Blackboard Assigned to Mistake 8
Deborah Hughis Final Exam 9802 Dr. Morote Use Survey Happiness Complete. SAV file on Blackboard Assigned to Mistake 8 (We were given individualized data from files and had to analyze them to complete the
LAMPIRAN. Frequencies. Frequency Table. Universitas Sumatera Utara. Statistics
LAMPIRAN Frequencies N Me an Median Mo de Minimum Maximum Sum Percentiles Missing 25 50 75 Statistics us ia jk ihc dx who outcome 0 0 0 0 0 0 43,0476 1,2857 1,7619 1,1429 1,2222 43,0000 1,0000 2,0000 1,0000
Daniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Correlation SPSS procedure for Pearson r Interpretation of SPSS output Presenting results Partial Correlation Correlation
1. You want to find out what factors predict achievement in English. Develop a model that
Questions and answers for Chapter 10 1. You want to find out what factors predict achievement in English. Develop a model that you think can explain this. As usual many alternative predictors are possible
Regression. Page 1. Variables Entered/Removed b Variables. Variables Removed. Enter. Method. Psycho_Dum
Regression Model Variables Entered/Removed b Variables Entered Variables Removed Method Meds_Dum,. Enter Psycho_Dum a. All requested variables entered. b. Dependent Variable: Beck's Depression Score Model
Midterm Exam MMI 409 Spring 2009 Gordon Bleil
Midterm Exam MMI 409 Spring 2009 Gordon Bleil Table of contents: (Hyperlinked to problem sections) Problem 1 Hypothesis Tests Results Inferences Problem 2 Hypothesis Tests Results Inferences Problem 3
Global Perspective Inventory (GPI) Report
Global Perspective Inventory (GPI) 2012-2013 Report Executive Summary display higher levels of global competence than freshmen in all of the GPI scales except for the interpersonal social responsibility
PsychTests.com advancing psychology and technology
PsychTests.com advancing psychology and technology tel 514.745.8272 fax 514.745.6242 CP Normandie PO Box 26067 l Montreal, Quebec l H3M 3E8 contact@psychtests.com Psychometric Report Emotional Intelligence
Health Consciousness of Siena Students
Health Consciousness of Siena Students Corey Austin, Siena College Kevin Flood, Siena College Allison O Keefe, Siena College Kim Reuter, Siena College EXECUTIVE SUMMARY We decided to research the health
MMI 409 Spring 2009 Final Examination Gordon Bleil. 1. Is there a difference in depression as a function of group and drug?
MMI 409 Spring 2009 Final Examination Gordon Bleil Table of Contents Research Scenario and General Assumptions Questions for Dataset (Questions are hyperlinked to detailed answers) 1. Is there a difference
Validity, Reliability and Classical Assumptions
, Reliability and Classical Assumptions Presented by Mahendra AN Sources: www-psych.stanford.edu/~bigopp/.ppt http://ets.mnsu.edu/darbok/ethn402-502/reliability.ppt http://5martconsultingbandung.blogspot.com/2011/01/uji-asumsi-klasik.html
Global Perspective Inventory (GPI) - Pilot Report
Global Perspective Inventory (GPI) - Pilot 2010-11 Report Introduction The Global Perspectives Inventory is a nationally recognized instrument designed to measure a student s global perspective. The GPI
Analysis and Interpretation of Data Part 1
Analysis and Interpretation of Data Part 1 DATA ANALYSIS: PRELIMINARY STEPS 1. Editing Field Edit Completeness Legibility Comprehensibility Consistency Uniformity Central Office Edit 2. Coding Specifying
Quantitative Methods in Computing Education Research (A brief overview tips and techniques)
Quantitative Methods in Computing Education Research (A brief overview tips and techniques) Dr Judy Sheard Senior Lecturer Co-Director, Computing Education Research Group Monash University judy.sheard@monash.edu
LAMPIRAN A SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL DAUN SALAM
LAMPIRAN A SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL DAUN SALAM 81 LAMPIRAN B SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL HERBA SAMBILOTO 82 LAMPIRAN C HASIL UJI PENETAPAN KADAR FLAVONOID TOTAL
Basic Biostatistics. Chapter 1. Content
Chapter 1 Basic Biostatistics Jamalludin Ab Rahman MD MPH Department of Community Medicine Kulliyyah of Medicine Content 2 Basic premises variables, level of measurements, probability distribution Descriptive
RESULTS. Chapter INTRODUCTION
8.1 Chapter 8 RESULTS 8.1 INTRODUCTION The previous chapter provided a theoretical discussion of the research and statistical methodology. This chapter focuses on the interpretation and discussion of the
Repeated Measures ANOVA and Mixed Model ANOVA. Comparing more than two measurements of the same or matched participants
Repeated Measures ANOVA and Mixed Model ANOVA Comparing more than two measurements of the same or matched participants Data files Fatigue.sav MentalRotation.sav AttachAndSleep.sav Attitude.sav Homework:
Reliability. Scale: Empathy
/VARIABLES=Empathy1 Empathy2 Empathy3 Empathy4 /STATISTICS=DESCRIPTIVE SCALE Reliability Notes Output Created Comments Input Missing Value Handling Syntax Resources Scale: Empathy Data Active Dataset Filter
Introduction to Quantitative Methods (SR8511) Project Report
Introduction to Quantitative Methods (SR8511) Project Report Exploring the variables related to and possibly affecting the consumption of alcohol by adults Student Registration number: 554561 Word counts
Reading Time [min.] Group
![Reading Time [min.] Group](/thumbs/93/111332220.jpg "Reading Time [min.] Group")
The exam set contains 8 questions. The questions may contain sub-questions. Make sure to indicate which question you are answering. The questions are weighted according to the percentage in brackets. Please
Simple Linear Regression
Simple Linear Regression Assoc. Prof Dr Sarimah Abdullah Unit of Biostatistics & Research Methodology School of Medical Sciences, Health Campus Universiti Sains Malaysia Regression Regression analysis
Internet Dependency among University Entrants: A Pilot Study
The International Journal of Indian Psychology ISSN 2348-5396 (e) ISSN: 2349-3429 (p) Volume 3, Issue 2, No.4, DIP: 18.01.068/20160302 ISBN: 978-1-329-85570-0 http://www.ijip.in January - March, 2016 Internet
MCMASTER METHOD OF WORM EGG COUNT FROM FAECAL SAMPLES OF GOATS: A COMPARISON OF SINGLE AND DOUBLE CHAMBER ENUMERATION OF WORM EGGS
VOLUME 6 NO. 1 JANUARY 2015 pages 81-87 MCMASTER METHOD OF WORM EGG COUNT FROM FAECAL SAMPLES OF GOATS: A COMPARISON OF SINGLE AND DOUBLE CHAMBER ENUMERATION OF WORM EGGS CHANDRAWATHANI P. 1 *, PREMAALATHA
!!!!!!!! Aisha Habeeb AL0117. Assignment #2 Part 3. Wayne State University
Aisha Habeeb AL0117 Assignment #2 Part 3 Wayne State University Assignment 2; Part 3 A. Habeeb Page 2 of 8 Sample This study, including 50 participants, was conducted to determine the effectiveness of
Chapter 4 Data Analysis & Results
Chapter 4 Data Analysis & Results 61 CHAPTER 4 DATA ANALYSIS AND RESULTS This chapter discusses the data analysis procedure used in the current research. The two major software packages used for the analysis
DISCPP (DISC Personality Profile) Psychometric Report
Psychometric Report Table of Contents Test Description... 5 Reference... 5 Vitals... 5 Question Type... 5 Test Development Procedures... 5 Test History... 8 Operational Definitions... 9 Test Research and
Shield of Care Suicide Prevention Training for Juvenile Justice Settings:
Shield of Care Suicide Prevention Training for Juvenile Justice Settings: Results of Nationwide Evaluation Bre Banks, Ph.D. Lead Evaluator, Tennessee Lives Count Connect Centerstone Research Instiute Disclaimer
Regression Including the Interaction Between Quantitative Variables
Regression Including the Interaction Between Quantitative Variables The purpose of the study was to examine the inter-relationships among social skills, the complexity of the social situation, and performance
CURRICULUM VITAE. : Gunawathi a/p Supramaniam. Tempat / tanggal lahir : Hospital Seremban ( 9/9/1992)
20 CURRICULUM VITAE Nama : Gunawathi a/p Supramaniam Tempat / tanggal lahir : Hospital Seremban ( 9/9/1992) Pekerjaan Agama Alamat : Mahasiswa : Hindu : Jl. Dr. Mansyur No. 29 Gang Sehat Medan, 20155 Nomor
SPSS output for 420 midterm study
Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,
The Effectiveness of Hypnotherapy to Increase Self-esteem of Patients Treated with Methadone
International Journal of Basic Sciences & Applied Research. Vol., 4 (11), 682-687, 2015 Available online at http://www.isicenter.org ISSN 2147-3749 2015 The Effectiveness of Hypnotherapy to Increase Self-esteem
EFFECT OF SERVICE QUALITY TOWARDS PATIENT SATISFACTION AT THE PUBLIC HEALTH CENTRE OF SITU GINTUNG SOUTH TANGERANG
EFFECT OF SERVICE QUALITY TOWARDS PATIENT SATISFACTION AT THE PUBLIC HEALTH CENTRE OF SITU GINTUNG SOUTH TANGERANG by Drs. Sunanto, APT., MM sunantoapt@gmail.com Faculty Member of Pamulang University ABSTRAK
ROC Curves. I wrote, from SAS, the relevant data to a plain text file which I imported to SPSS. The ROC analysis was conducted this way:
ROC Curves We developed a method to make diagnoses of anxiety using criteria provided by Phillip. Would it also be possible to make such diagnoses based on a much more simple scheme, a simple cutoff point
The students perception towards the audit using Audit Command Language (ACL) software
The Indonesian Accounting Review Vol. 4, No. 1, January 2014, pages 89 96 The students perception towards the audit using Audit Command Language (ACL) software Mega Trianico Puspaningrum 1 1 STIE Perbanas
C.3 Repeated Measures ANOVA
C. Repeated Measures ANOVA A study was conducted to find the effect of yoga on lowering the total serum cholesterol level in newly diagnosed patients of hypercholesterolemia. Thirty patients were selected
Analysis of Variance: repeated measures
Analysis of Variance: repeated measures Tests for comparing three or more groups or conditions: (a) Nonparametric tests: Independent measures: Kruskal-Wallis. Repeated measures: Friedman s. (b) Parametric
Study Guide #2: MULTIPLE REGRESSION in education
Study Guide #2: MULTIPLE REGRESSION in education What is Multiple Regression? When using Multiple Regression in education, researchers use the term independent variables to identify those variables that
Dr. Kelly Bradley Final Exam Summer {2 points} Name
{2 points} Name You MUST work alone no tutors; no help from classmates. Email me or see me with questions. You will receive a score of 0 if this rule is violated. This exam is being scored out of 00 points.
Data Analysis Using SPSS. By: Akmal Aini Othman
Data Analysis Using SPSS By: Akmal Aini Othman The key to GOOD descriptive research is knowing exactly what you want to measure and selecting a survey method in which every respondent is willing to cooperate
What you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu
What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test
Example of Interpreting and Applying a Multiple Regression Model
Example of Interpreting and Applying a Multiple Regression We'll use the same data set as for the bivariate correlation example -- the criterion is 1 st year graduate grade point average and the predictors
The Impact of Gender, Area, School Environment and Personality on Mental Health
The Impact of Gender, Area, School Environment and Personality on Mental Health DR. PARESH B. ACHARYA Assistant professor, Shri I.J. Patel M.Ed. Course, Mogri (Anand) Gujarat (India) Abstract: The impact
SPSS output for 420 midterm study
Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,
Choosing the Correct Statistical Test
Choosing the Correct Statistical Test T racie O. Afifi, PhD Departments of Community Health Sciences & Psychiatry University of Manitoba Department of Community Health Sciences COLLEGE OF MEDICINE, FACULTY
Data Analysis for Project. Tutorial
Data Analysis for Project Tutorial Research Model Topic 2 Remanufactured Products Environmental Concern Attitude towards Recycling H2 (+) H1 (+) Subjective Norm Perceived Moral Obligation Convenience Perceived
Statistics Guide. Prepared by: Amanda J. Rockinson- Szapkiw, Ed.D.
This guide contains a summary of the statistical terms and procedures. This guide can be used as a reference for course work and the dissertation process. However, it is recommended that you refer to statistical
CHAPTER III METHODOLOGY
24 CHAPTER III METHODOLOGY This chapter presents the methodology of the study. There are three main sub-titles explained; research design, data collection, and data analysis. 3.1. Research Design The study
STATISTICS AND RESEARCH DESIGN
Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have
Overview of Lecture. Survey Methods & Design in Psychology. Correlational statistics vs tests of differences between groups
Survey Methods & Design in Psychology Lecture 10 ANOVA (2007) Lecturer: James Neill Overview of Lecture Testing mean differences ANOVA models Interactions Follow-up tests Effect sizes Parametric Tests
Boston Biometrics International Validation Study
Boston Biometrics International Validation Study Jordan B. Peterson, Ph.D. June 23, 2010 - 2 - Objective: The purpose of this study is to determine whether Boston Biometrics International ( BBI ) is capable
SUMMER REGISTRATION SATISFACTION SURVEY 2010
SUMMER REGISTRATION SATISFACTION SURVEY 2010 Did you register during one of the "group" registration days (June 4 or 5; July 8 or 9)? Frequency Valid Valid No 53 15.9 15.9 15.9 Yes 280 84.1 84.1 100.0
psy300 / Bizer / Factorial Analyses: 2 x 3 Between-Subjects Factorial Design
psy300 / Bizer / Factorial Analyses: 2 x 3 Between-Subjects Factorial Design Univariate Analysis of Variance Between-Subjects Factors öòòòòòûòòòòûòòòòòòòòòòòûòòø Value LabelN ùòòòòòôòòòòôòòòòòòòòòòòôòòú
HS Exam 1 -- March 9, 2006
Please write your name on the back. Don t forget! Part A: Short answer, multiple choice, and true or false questions. No use of calculators, notes, lab workbooks, cell phones, neighbors, brain implants,
Introduction to SPSS. Katie Handwerger Why n How February 19, 2009
Introduction to SPSS Katie Handwerger Why n How February 19, 2009 Overview Setting up a data file Frequencies/Descriptives One-sample T-test Paired-samples T-test Independent-samples T-test One-way ANOVA
Chapter 7: Correlation
Chapter 7: Correlation Smart Alex s Solutions Task 1 A student was interested in whether there was a positive relationship between the time spent doing an essay and the mark received. He got 45 of his
Regression Modeling for Incidence of Diabetics
Regression Modeling for Incidence of Diabetics Amar Yahya Zebari Submitted to the Institute of Graduate Studies and Research in Partial Fulfillment of the Requirements for the Degree of Master of Science
3. Research Methodology-Data Collection, Statistical Analysis
3. Research Methodology-Data Collection, Statistical Analysis This chapter includes: Type of study, Population and Sampling technique, Power analysis Instrumentation-Design of questionnaire Descriptive
WELCOME! Lecture 11 Thommy Perlinger
Quantitative Methods II WELCOME! Lecture 11 Thommy Perlinger Regression based on violated assumptions If any of the assumptions are violated, potential inaccuracies may be present in the estimated regression
Universitas Sumatera Utara
no umur umur j agama peerjaan ttinggal tpstroe rpa 1 56 2 2 2 2 1 1 1 2 47 2 2 2 2 2 2 1 3 77 2 2 2 2 2 1 1 4 75 2 1 2 1 2 2 1 5 45 2 1 2 2 2 1 1 6 66 2 1 1 2 2 2 5 7 49 2 1 1 3 2 2 1 8 69 2 1 3 2 2 2
Research in Business and Social Science
International Journal of Research in Business and Social Science 7(2), 2018: 22-29 Research in Business and Social Science IJRBS Vol 7 No 2, ISSN: 2147-4478 Contents available at www.ssbfnet.com/ojs https://doi.org/10.20525/ijrbs.v7i2.879
MARKERS OF INCREASED RISK OF DEATH IN POLYTRAUMA PATIENTS WITH ASSOCIATED CHEST TRAUMA
Copyright 2018 Balkan Medical Union vol. 53, no. 3, pp. 401-407 September 2018 ORIGINAL PAPER MARKERS OF INCREASED RISK OF DEATH IN POLYTRAUMA PATIENTS WITH ASSOCIATED CHEST TRAUMA Cristina TASE GHINGULEAC
Ecological Statistics
A Primer of Ecological Statistics Second Edition Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard Forest Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Brief Contents
Profile Analysis. Intro and Assumptions Psy 524 Andrew Ainsworth
Profile Analysis Intro and Assumptions Psy 524 Andrew Ainsworth Profile Analysis Profile analysis is the repeated measures extension of MANOVA where a set of DVs are commensurate (on the same scale). Profile
SUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK
SUMMER 011 RE-EXAM PSYF11STAT - STATISTIK Full Name: Årskortnummer: Date: This exam is made up of three parts: Part 1 includes 30 multiple choice questions; Part includes 10 matching questions; and Part
List of Figures. List of Tables. Preface to the Second Edition. Preface to the First Edition
List of Figures List of Tables Preface to the Second Edition Preface to the First Edition xv xxv xxix xxxi 1 What Is R? 1 1.1 Introduction to R................................ 1 1.2 Downloading and Installing
A Study on the Impact of Extrovert Personality Traits on the It Working Professionals Stock Investment Decision
A Study on the Impact of Extrovert Personality Traits on the It Working Professionals Stock Investment Decision Mr. R. Gowri Shankar Research Scholar Bharathiar University Coimabatore. Dr. Tomy K. Kallarakal.
Effect of Breadfruit Leaves Infusion on Acute Renal Failure Rat Model
511 Effect of Breadfruit Leaves Infusion on Acute Renal Failure Rat Model Muhamad Risdan Hardani 1, Herri S. Sastramihardja 2, Afiatin 3 1 Faculty of Medicine Universitas Padjadjaran, 2 Department of Pharmacology
Between Groups & Within-Groups ANOVA
Between Groups & Within-Groups ANOVA BG & WG ANOVA Partitioning Variation making F making effect sizes Things that influence F Confounding Inflated within-condition variability Integrating stats & methods
Disclosure statement
Early verbal working memory as a predictor of later language outcomes in late talkers Jayne Newbury, Thomas Klee, Stephanie Stokes and Catherine Moran University of Canterbury, New Zealand Disclosure statement
Assessing the Validity and Reliability of the Teacher Keys Effectiveness. System (TKES) and the Leader Keys Effectiveness System (LKES)
Assessing the Validity and Reliability of the Teacher Keys Effectiveness System (TKES) and the Leader Keys Effectiveness System (LKES) of the Georgia Department of Education Submitted by The Georgia Center
EPS 625 INTERMEDIATE STATISTICS TWO-WAY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY)
EPS 625 INTERMEDIATE STATISTICS TO-AY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY) A researcher conducts a study to evaluate the effects of the length of an exercise program on the flexibility of female and male
Differential Effect of Socio-Demographic Factors on Emotional Intelligence of Secondary School Students in Ernakulam District
The International Journal of Indian Psychology ISSN 2348-5396 (e) ISSN: 2349-3429 (p) Volume 3, Issue 4, No. 59, DIP: 18.01.065/20160304 ISBN: 978-1-365-26307-1 http://www.ijip.in July-September, 2016
The Effect Sizes r and d in Hypnosis Research
Marty Sapp The Effect Sizes r and d in Hypnosis Research Marty Sapp, Ed.D. The effect sizes r and d and their confidence intervals can improve hypnosis research. This paper describes how to devise scientific
Survey Project Data Analysis Guide
Survey Project Data Analysis Guide I. Computing Scale Scores. - In the data file that I have given you, I have already done the following. - Reverse scored all of the appropriate items. For: Aggression
Advanced ANOVA Procedures
Advanced ANOVA Procedures Session Lecture Outline:. An example. An example. Two-way ANOVA. An example. Two-way Repeated Measures ANOVA. MANOVA. ANalysis of Co-Variance (): an ANOVA procedure whereby the
DAFTAR PUSTAKA. 1. Departemen Dalam Negeri. Undang-undang Republik Indonesia Nomor
57 DAFTAR PUSTAKA 1. Departemen Dalam Negeri. Undang-undang Republik Indonesia Nomor 36 Tahun 2009 Tentang Kesehatan [homepage on the internet]. c2009 [cited 2014 Mar 5]. Available from :http://www.depdagri.go.id/media/documents/2009/10/13/uu_no.36-2009.doc
One-Way ANOVAs t-test two statistically significant Type I error alpha null hypothesis dependant variable Independent variable three levels;
1 One-Way ANOVAs We have already discussed the t-test. The t-test is used for comparing the means of two groups to determine if there is a statistically significant difference between them. The t-test
Two-Way Independent Samples ANOVA with SPSS
Two-Way Independent Samples ANOVA with SPSS Obtain the file ANOVA.SAV from my SPSS Data page. The data are those that appear in Table 17-3 of Howell s Fundamental statistics for the behavioral sciences
Alcohol Consumption Among YSU Students Statistics 3717, CC:2290 Elia Crisucci, Major in Biology Tracy Hitesman. Major in Biology Melissa Phillipson,
Alcohol Consumption Among YSU Students Statistics 3717, CC:2290 Elia Crisucci, Major in Biology Tracy Hitesman. Major in Biology Melissa Phillipson, Major in Biology May 7, 2002 I. Executive Summary: Many
Measurement Error 2: Scale Construction (Very Brief Overview) Page 1
Measurement Error 2: Scale Construction (Very Brief Overview) Richard Williams, University of Notre Dame, https://www3.nd.edu/~rwilliam/ Last revised January 22, 2015 This handout draws heavily from Marija