scispace - formally typeset
Open AccessBook

SPSS survival manual : a step by step guide to data analysis using SPSS

Julie Pallant
TLDR
In this paper, SPSS is used to explore relationships among variables using graphs to describe and explore the data, checking the reliability of a scale, choosing the right statistic, and comparing groups.
Abstract
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index

read more

Citations
More filters
Journal ArticleDOI

Transition to IFRS and compliance with mandatory disclosure requirements: What is the signal?

TL;DR: In this paper, the authors examined 153 Greek listed companies' compliance with all IFRS mandatory disclosure requirements during 2005 and complemented and extended prior literature in the following way: they hypothesised that, in addition to the financial measures and other corporate characteristics that prior literature identifies as proxies for explaining compliance, a significant change in fundamental financial measures, because of the change in the accounting regime, may also explain compliance based on the premises of the relevant disclosure theories.
Journal ArticleDOI

Developing archetypes for domestic dwellings: An Irish case study

TL;DR: In this article, the authors present a methodology for the development of archetypes based on information from literature and a sample of detailed energy-related housing data, which is used for exploring areas for resource and emission reductions in the residential sector.
Journal ArticleDOI

An Arabic version of the Perceived Stress Scale: Translation and validation study

TL;DR: The Arabic version Perceived Stress Scale showed an adequate reliability and validity and is considered a suitable instrument to assess perceived stress in Arabic people.
Journal ArticleDOI

Indian consumers' attitudes towards purchasing organically produced foods: An empirical study

TL;DR: In this paper, the authors identify nine important determinants influencing the purchasing intentions for organically produced foods from extant research, with a view to understanding relational significance between these key determinants and those buyers from the cities of Bengaluru and Chennai in India.
Journal ArticleDOI

Occupants interaction with electric lighting and shading systems in real single-occupied offices: Results from a monitoring campaign

TL;DR: In this article, the authors present the results of a monitoring campaign aiming to further understand occupants' behavior regarding the manual control of electric lighting in combination with shading control, which was performed on eight single occupied offices in the city of Porto, Portugal during periods ranging from 28 to 60 days per office.
Trending Questions (2)
What are the key steps in designing a quantitative research study using SPSS?

Key steps in designing a quantitative research study using SPSS include designing the study, preparing a codebook, creating a data file, and choosing the right statistic for analysis.

How can I use SPSS to analyze my data?

The paper provides a step-by-step guide on how to use SPSS for data analysis, including designing a study, preparing a codebook, creating a data file, conducting preliminary analyses, and using various statistical techniques to explore relationships among variables and compare groups.