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    Choice assistance with summaries of SPSS Survival Manual - Pallant - 7th edition

    Choice assistance with summaries of SPSS Survival Manual - Pallant - 7th edition

    Summaries of SPSS Survival Manual - Pallant

     

    Booksummaries to be used with the 7th edition of SPSS Survival Manual

    Online: summary in chapters

    Print: summary in chapters by post

    Print: summary in chapters in support centers

    Content Prints of summaries with the 7th edition of SPSS Survival Manual

     Booksummary: list of contents for the printed summaries

    • The printed English booksummary contains the following chapters:
      • Introduction. What is SPSS? - Chapter 0
      • How do you set up a study? - Chapter 1
      • How do you prepare a SPSS codebook? - Chapter 2
      • How does IBM SPSS Statistics work? - Chapter 3
      • How do you create a data file and how do you enter data? - Chapter 4
      • How do you screen and clean data in SPSS? - Chapter 5
      • How do you use SPSS for descriptive statistics? - Chapter 6
      • What graph do you use to represent data? - Chapter 7
      • How do you manipulate data in SPSS? - Chapter 8
      • How do you check the reliability of a scale? - Chapter 9
      • How do you choose a method in SPSS? - Chapter 10
      • When and how is correlation analysis applied? - Chapter 11
      • What is the difference between correlation and partial correlation? - Chapter 12
      • How do you perform multiple regression in SPSS? - Chapter 13
      • How do you perform a logistic regression in SPSS? - Chapter 14
      • How do you perform factor analysis in SPSS? - Chapter 15
      • How do you use SPSS for non-parametric statistics? - Chapter 16
      • Which t-test can be used in SPSS? - Chapter 17
      • How do you use one-way ANOVA in SPSS? - Chapter 18
      • How do you use two-way ANOVA in SPSS? - Chapter 19
      • How do you perform a mixed between-within subjects ANOVA in SPSS? - Chapter 20
      • How do you perform a multivariate analysis of variance in SPSS? - Chapter 21
      • How do you perform an Analysis of Covariance in SPSS? - Chapter 22
    • The printed Dutch booksummary contains the following chapters:
      • Introductie. Wat is SPSS? - Chapter 0
      • Hoe zet je een onderzoek op? - Chapter 1
      • Hoe bereid je een SPSS codeboek voor? - Chapter 2
      • Hoe werkt IBM SPSS Statistics? - Chapter 3
      • Hoe creëer je een data bestand en hoe voer je data in? - Chapter 4
      • Hoe kun je data in SPSS screenen en opschonen? - Chapter 5
      • Hoe gebruik je SPSS voor beschrijvende statistiek? - Chapter 6
      • Welke grafieken gebruik je om data weer te geven? - Chapter 7
      • Hoe manipuleer je data in SPSS? - Chapter 8
      • Hoe controleer je de betrouwbaarheid van een schaal? - Chapter 9
      • Hoe weet je welke methode je moet gebruiken in SPSS? - Chapter 10
      • Wanneer en hoe wordt correlatieanalyse toegepast? - Chapter 11
      • Wat is het verschil tussen correlatie en partiële correlatie? - Chapter 12
      • Hoe voer je meervoudige regressie uit in SPSS? - Chapter 13
      • Hoe voer je logistische regressie uit in SPSS? - Chapter 14
      • Hoe voer je factoranalyse uit in SPSS? - Chapter 15
      • Hoe gebruik je SPSS voor niet-parametrische statistiek? - Chapter 16
      • Welke t-toetsen kunnen worden gebruikt in SPSS? - Chapter 17
      • Hoe gebruik je one-way ANOVA in SPSS? - Chapter 18
      • Hoe gebruik je two-way ANOVA in SPSS? - Chapter 19
      • Hoe voer je een gemixt between-within subjects ANOVA uit in SPSS? - Chapter 20
      • Hoe voer je een multivariate analysis of variance uit in SPSS? - Chapter 21
      • Hoe voer je een Analysis of Covariance uit in SPSS? - Chapter 22

    Booksummary with former editions

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    ExamTickets with SPSS Survival Manual

     ExamTickets: Tips & Tricks with studying the book

    This summary of the SPSS Survival Manual by Pallant gives a walkthrough of how to use IBM SPSS. It also gives some theoretical background on why you should use IBM Statistics in such a way. The summary therefore works best when you have it at hand sitting at your computer to analyse your data using IBM SPSS

     Chapters 1-9 give a general introduction for the starting analysts

     Chapter 10 answers the question 'which research method should I use in SPSS?' in a neat and thoughtful way and can be used as a starting point for all sorts of research

     Chapters 11-19 give you more insight in how to conduct the methods and experiments that you have chosen with (or without) the help of chapter 10

    Introduction: super-summary
    Introduction. What is SPSS? - Chapter 0
    How do you set up a study? - Chapter 1

    How do you set up a study? - Chapter 1


    How do you set up a study?

    Good research is highly dependent on detailed planning. The book provides the following tips when setting up a study:

    • Choose the design of your research, for example in the form of an experiment, a questionnaire, or an observational study. Weigh all the pros and cons of each method.
    • If you opt for an experiment: decide whether to opt for a between-groups design (different subjects in each experimental condition) or a repeated measures design (all subjects in all conditions).
    • If you choose an experiment, make sure you have enough levels of your independent variable.
    • Always select more test subjects than you actually need, as there is a high chance that test subjects will drop out.
    • If possible, randomly assign subjects to each experimental condition. It is important that these groups do not differ from each other on other matters. You can check this by performing a covariance analysis.
    • Choose reliable and valid dependent variables.
    • Anticipate possible confounding variables. These are variables other than the independent variable that can give a possible explanation for your result. Check for these confounding variables if possible.
    • If you opt for the method of a survey, check in advance whether the instructions, questions and scales are formulated clearly. You do this by means of pilot testing.

    How do you choose the right scales and methods?

    When choosing the right scale and method, two concepts are important: reliability and validity. Both concepts can influence the quality of your data.

    What does reliability mean?

    The reliability of a scale indicates to what extent the scale is free from random error. There are two types of reliability:

    1. Test-retest reliability: this is measured by presenting the relevant scale to two different persons in two different situations and then calculating the correlation between these two scores. The higher this correlation, the greater the test-retest reliability.
    2. Internal consistency: the degree to which the items of a scale are interrelated. This can be calculated, for example, with the Cronbach's coefficient alpha in SPSS. A Cronbach's alpha of .7 or greater indicates a reliable scale.

    What does validity mean?

    The validity of a scale refers to the extent to which the methods measure what they intend to measure. There are different types of validity:

    1. Content validity: the degree of accuracy with which the method or scale tests the intended domain or content.
    2. Criterion validity: the relationship between different scale scores and a specified measurement criterion.
    3. Construct validity: the relationship with other constructs; both related constructs (convergent validity) and unrelated constructs (discriminant validity).

    How do you prepare a questionnaire?

    When preparing a questionnaire, it is important to keep in mind what statistical methods you will need to analyze the data. Depending on the statistical technique, you have to ask a certain question in a specific way.

    What are different types of questions?

    Many questions can be classified into two groups: open-ended questions and closed questions. A closed question gives respondents multiple answer options. Closed questions can be quickly converted to a numeric format in SPSS. For example, answer "yes" can be coded with number 1 and answer "no" with number 2. The answers to open-ended questions can be divided into different categories, for example work or relationships. A combination of open-ended and closed questions often works best in a study.

    What are different scales of answers?

    It is important to choose the correct scale when creating answer formats. For example, if you want to calculate a correlation, you need to know the exact ages of your respondents. In addition, it is often useful to apply a Likert-type scale: People do not simply answer whether they agree or disagree with the question, but indicate to what extent they agree with a statement; for example on a scale from 1 to 6.

     

    How do you prepare a SPSS codebook? - Chapter 2
    How does IBM SPSS Statistics work? - Chapter 3
    How do you create a data file and how do you enter data? - Chapter 4
    How do you screen and clean data in SPSS? - Chapter 5
    How do you use SPSS for descriptive statistics? - Chapter 6
    What graph do you use to represent data? - Chapter 7
    How do you manipulate data in SPSS? - Chapter 8
    How do you check the reliability of a scale? - Chapter 9
    How do you choose a method in SPSS? - Chapter 10
    When and how is correlation analysis applied? - Chapter 11
    What is the difference between correlation and partial correlation? - Chapter 12
    How do you perform multiple regression in SPSS? - Chapter 13
    How do you perform a logistic regression in SPSS? - Chapter 14
    How do you perform factor analysis in SPSS? - Chapter 15
    How do you use SPSS for non-parametric statistics? - Chapter 16
    Which t-test can be used in SPSS? - Chapter 17
    How do you use one-way ANOVA in SPSS? - Chapter 18
    How do you use two-way ANOVA in SPSS? - Chapter 19
    How do you perform a mixed between-within subjects ANOVA in SPSS? - Chapter 20
    How do you perform a multivariate analysis of variance in SPSS? - Chapter 21
    How do you perform an Analysis of Covariance in SPSS? - Chapter 22
    Printed summary of SPSS Survival Manual - Pallant - 7th edition
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