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Science and research: best definitions, descriptions and lists of terms

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Statistics: best definitions, descriptions and lists of terms

Statistics: best definitions, descriptions and lists of terms

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Statistics samples: best definitions, descriptions and lists of terms

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Statistics: suggestions, summaries and tips for encountering Statistics

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Summaries and study notes: Startup pages for studying Statistics - Bundle

Summaries and study notes: Startup pages for studying Statistics - Bundle

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Summary of Analysing Data using Linear Models by Van den Berg - 2022 edition

Summaries per chapter with Analysing Data using Linear Models

Summaries per chapter with Analysing Data using Linear Models

  • For summaries with all chapters of the 2022 edition of Analysing Data using Linear Models by Van den Berg, see the supporting content of this page

Table of content

  • Chapter 1 - What are variables, variation and co-variation?
  • Chapter 2 - How can we make inferences about a mean?
  • Chapter 3 - How can we make inferences about proportions?
  • Chapter 4 - What does linear modelling entail?
  • Chapter 5 - How can we make inferences about linear models?
  • Chapter 6 - What are categorical predictor variables?
  • Chapter 7 - What are the assumptions of linear models?
  • Chapter 8 - What should we do when the assumptions are not met?
  • Chapter 9 - What does moderation entail?
  • Chapter 10 - How do researchers use contrast in statistical analysis?
.........Read more
What are variables, variation and co-variation? - Chapter 1 - Exclusive
How can we make inferences about a mean? - Chapter 2 - Exclusive
How can we make inferences about proportions? - Chapter 3 - Exclusive
What does linear modelling entail? - Chapter 4 - Exclusive
How can we make inferences about linear models? - Chapter 5 - Exclusive
What are categorical predictor variables? - Chapter 6 - Exclusive
What are the assumptions of linear models? - Chapter 7 - Exclusive
What should we do when the assumptions are not met? - Chapter 8 - Exclusive
What does moderation entail? - Chapter 9 - Exclusive
How do researchers use contrast in statistical analysis? - Chapter 10 - Exclusive
How do we perform post hoc comparisons? - Chapter 11 - Exclusive
How do we perform linear mixed modelling? - Chapter 12 - Exclusive
How do we conduct linear mixed models for more than two measurements? - Chapter 13 - Exclusive
What are non-parametric alternatives for linear mixed models? - Chapter 14 - Exclusive
How is logistic regression conducted with generalised linear models? - Chapter 15 - Exclusive
How can generalised linear models be used for count data? - Chapter 16 - Exclusive
What does big data analytics entail? - Chapter 17 - Exclusive
Examtickets with Analysing Data using Linear Models by van den Berg - 2022 edition - Exclusive
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Samenvatting van Introduction to the Practice of Statistics van Moore e.a. - 10e druk - Exclusive

Samenvattingen per hoofdstuk bij Introduction to the Practice of Statistics

Samenvattingen per hoofdstuk bij Introduction to the Practice of Statistics

  • Voor samenvattingen bij alle hoofdstukken van de 10e druk van Introduction to the Practice of Statistics van Moore, McCabe & Craig, zie de supporting content van deze pagina
Wat zijn distributies? - Chapter 1
Wat zijn statistische verbanden? - Chapter 2 - Exclusive
Hoe moet je data verzamelen? - Chapter 3 - Exclusive
Wat werkt kansrekening in de statistiek? - Chapter 4 - Exclusive
Wat zijn steekproefdistributies? - Chapter 5 - Exclusive
Wat zijn statistische gevolgtrekkingen? - Chapter 6 - Exclusive
Wat zijn statistische gevolgtrekkingen voor distributies? - Chapter 7 - Exclusive
Wat zijn statistische gevolgtrekkingen voor proporties? - Chapter 8 - Exclusive
Wat zijn gevolgtrekkingen voor categorische data? - Chapter 9 - Exclusive
Wat is regressie? - Chapter 10 - Exclusive
Wat is meervoudige regressie? - Chapter 11 - Exclusive
Wat is eenweg ANOVA? - Chapter 12 - Exclusive
Wat is tweeweg ANOVA? - Chapter 13 - Exclusive
Wat is logistische regressie? - Chapter 14 - Exclusive
Wat zijn nonparametrische toetsen? - Chapter 15 - Exclusive
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Summary of Introduction to the Practice of Statistics by Moore a.o. - 10th edition - Exclusive

Summaries per chapter with Introduction to the Practice of Statistics

Summaries per chapter with Introduction to the Practice of Statistics

  • For summaries with all chapters of the 10th edition of Introduction to the Practice of Statistics by Moore, McCabe & Craig, see the supporting content of this page

Table of content

  • Chapter 1 - What are distributions in the realm of statistics?
  • Chapter 2 - What are statistical relationships?
  • Chapter 3 - How to collect data for the purpose of statistics?
  • Chapter 4 - What is probability theory?
  • Chapter 5 - What are sampling distributions?
  • Chapter 6 - What is statistical inference?
  • Chapter 7 - What are statistical inferences for distributions?
  • Chapter 8 - What are statistical inferences for proportions?
  • Chapter 9 - What are statistical inferences for categorical data?
  • Chapter 10 - What is regression?
  • Chapter 11
.........Read more
What are distributions in the realm of statistics? - Chapter 1 - Exclusive
What are statistical relationships? - Chapter 2 - Exclusive
How to collect data for the purpose of statistics? - Chapter 3 - Exclusive
What is probability theory? - Chapter 4 - Exclusive
What are sampling distributions? - Chapter 5 - Exclusive
What is statistical inference? - Chapter 6 - Exclusive
What are statistical inferences for distributions? - Chapter 7 - Exclusive
What are statistical inferences for proportions? - Chapter 8 - Exclusive
What are statistical inferences for categorical data? - Chapter 9 - Exclusive
What is regression? - Chapter 10 - Exclusive
What is multiple regression? - Chapter 11 - Exclusive
What is one-way ANOVA? - Chapter 12 - Exclusive
What is two-way ANOVA? - Chapter 13 - Exclusive
What is logistic regression? - Chapter 14 - Exclusive
What are non-parametric tests? - Chapter 15 - Exclusive
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Summaries per chapter with the 7th edition of SPSS Survival Manual by Pallant

Summaries per chapter with the 7th edition of SPSS Survival Manual by Pallant

Introduction: super-summary - Exclusive
Introduction. What is SPSS? - Chapter 0 - Exclusive
How do you set up a study? - Chapter 1 - Exclusive
How do you prepare a SPSS codebook? - Chapter 2 - Exclusive
How does IBM SPSS Statistics work? - Chapter 3 - Exclusive
How do you create a data file and how do you enter data? - Chapter 4 - Exclusive
How do you screen and clean data in SPSS? - Chapter 5 - Exclusive
How do you use SPSS for descriptive statistics? - Chapter 6 - Exclusive
What graph do you use to represent data? - Chapter 7 - Exclusive
How do you manipulate data in SPSS? - Chapter 8 - Exclusive
How do you check the reliability of a scale? - Chapter 9 - Exclusive
How do you choose a method in SPSS? - Chapter 10 - Exclusive
When and how is correlation analysis applied? - Chapter 11 - Exclusive
What is the difference between correlation and partial correlation? - Chapter 12 - Exclusive
How do you perform multiple regression in SPSS? - Chapter 13 - Exclusive
How do you perform a logistic regression in SPSS? - Chapter 14 - Exclusive
How do you perform factor analysis in SPSS? - Chapter 15 - Exclusive
How do you use SPSS for non-parametric statistics? - Chapter 16 - Exclusive
Which t-test can be used in SPSS? - Chapter 17 - Exclusive
How do you use one-way ANOVA in SPSS? - Chapter 18 - Exclusive
How do you use two-way ANOVA in SPSS? - Chapter 19 - Exclusive
How do you perform a mixed between-within subjects ANOVA in SPSS? - Chapter 20 - Exclusive
How do you perform a multivariate analysis of variance in SPSS? - Chapter 21 - Exclusive
How do you perform an Analysis of Covariance in SPSS? - Chapter 22 - Exclusive
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Summaries per chapter with Multivariate Data Analysis Text Book by Leiden University

Summaries per chapter with Multivariate Data Analysis Text Book

Summaries per chapter with Multivariate Data Analysis Text Book

  • For summaries with all chapters of Multivariate Data Analysis Text Book by Leiden University, see the supporting content of this page

Table of content

  • Which analysis method can be used for separate types of problems? - Chapter 0
  • How does multiple regression analysis (MRA) work? - Chapter 1
  • How does Analysis of Variance (ANOVA) work? - Chapter 2
  • How does Analysis of Covariance (ANCOVA) work? - Chapter 3
  • How does MANOVA work? - Chapter 4
  • How does repeated ANOVA measurements work? - Chapter 5
  • How does Logistic Regression Analysis (LRA) work? - Chapter 6
  • How does mediation analysis work? - Chapter 7
  • What is meant by suppression and what are spurious correlations? - Chapter 8

Related summaries and study

.........Read more
Which analysis method can be used for separate types of problems? - Chapter 0 - Exclusive
How does multiple regression analysis (MRA) work? - Chapter 1 - Exclusive
How does Analysis of Variance (ANOVA) work? - Chapter 2 - Exclusive
How does Analysis of Covariance (ANCOVA) work? - Chapter 3 - Exclusive
How does MANOVA work? - Chapter 4 - Exclusive
How does repeated ANOVA measurements work? - Chapter 5 - Exclusive
How does Logistic Regression Analysis (LRA) work? - Chapter 6 - Exclusive
How does mediation analysis work? - Chapter 7 - Exclusive
What is meant by suppression and what are spurious correlations? - Chapter 8 - Exclusive
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Samenvattingen per hoofdstuk bij de 7e druk van SPSS Survival Manual van Pallant

Samenvattingen per hoofdstuk bij de 7e druk van SPSS Survival Manual van Pallant

Introductie. Wat is SPSS? - Chapter 0 - Exclusive
Hoe zet je een onderzoek op? - Chapter 1 - Exclusive
Hoe bereid je een SPSS codeboek voor? - Chapter 2 - Exclusive
Hoe werkt IBM SPSS Statistics? - Chapter 3 - Exclusive
Hoe creëer je een data bestand en hoe voer je data in? - Chapter 4 - Exclusive
Hoe kun je data in SPSS screenen en opschonen? - Chapter 5 - Exclusive
Hoe gebruik je SPSS voor beschrijvende statistiek? - Chapter 6 - Exclusive
Welke grafieken gebruik je om data weer te geven? - Chapter 7 - Exclusive
Hoe manipuleer je data in SPSS? - Chapter 8 - Exclusive
Hoe controleer je de betrouwbaarheid van een schaal? - Chapter 9 - Exclusive
Hoe weet je welke methode je moet gebruiken in SPSS? - Chapter 10 - Exclusive
Wanneer en hoe wordt correlatieanalyse toegepast? - Chapter 11 - Exclusive
Wat is het verschil tussen correlatie en partiële correlatie? - Chapter 12 - Exclusive
Hoe voer je meervoudige regressie uit in SPSS? - Chapter 13 - Exclusive
Hoe voer je logistische regressie uit in SPSS? - Chapter 14 - Exclusive
Hoe voer je factoranalyse uit in SPSS? - Chapter 15 - Exclusive
Hoe gebruik je SPSS voor niet-parametrische statistiek? - Chapter 16 - Exclusive
Welke t-toetsen kunnen worden gebruikt in SPSS? - Chapter 17 - Exclusive
Hoe gebruik je one-way ANOVA in SPSS? - Chapter 18 - Exclusive
Hoe gebruik je two-way ANOVA in SPSS? - Chapter 19 - Exclusive
Hoe voer je een gemixt between-within subjects ANOVA uit in SPSS? - Chapter 20 - Exclusive
Hoe voer je een multivariate analysis of variance uit in SPSS? - Chapter 21 - Exclusive
Hoe voer je een Analysis of Covariance uit in SPSS? - Chapter 22 - Exclusive
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Summary of Psychometrics: An Introduction by Furr - 3rd edition

Summaries per chapter with the 3rd edition of Psychometrics: An Introduction by Furr

Please note: for more summaries and study assistance with more and more recent editions of the book, you can check:

What is psychometrics? - Chapter 1
What is important when assigning numbers to psychological constructs? - Chapter 2
What are variability and covariability? - Chapter 3
What is dimensionality and what is factor analysis? - Chapter 4
What is reliability? - Chapter 5
How to empirically estimate the reliability? - Chapter 6
What is the importance of reliability? - Chapter 7
What is validity? - Chapter 8
How to evaluate evidence for convergent and divergent validity? - Chapter 9
What types of response bias are there? - Chapter 10
What types of test bias are there? - Chapter 11
What is a confirmatory factor analysis? - Chapter 12
What is the generalizability theory? - Chapter 13
What is the Item Response Theory (IRT) and which models are there? - Chapter 14
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Summary of Statistics: The art and science of learning from data by Agresti and Franklin - 4th edition - Exclusive

Summaries per chapter with the 4th edition of Statistics: The art and science of learning from data by Agresti & Franklin

What is statistics? - Chapter 1 - Exclusive
How to explore data with graphs and nummerical summaries? - Chapter 2 - Exclusive
What roles do contingency, correlation and regression play in association testing? - Chapter 3 - Exclusive
How do you gather data? - Chapter 4 - Exclusive
What role does probability have in our daily lives? - Chapter 5 - Exclusive
What are probability distributions? - Chapter 6 - Exclusive
What are sampling distributions? - Chapter 7 - Exclusive
Statistical inference: what are confidence intervals? - Chapter 8 - Exclusive
Statistical inference: What do significance tests say about hypotheses? - Chapter 9 - Exclusive
How do you compare two groups? - Chapter 10 - Exclusive
How do you analyze the association between categorical variables? - Chapter 11 - Exclusive
How do you analyze the association between quantitative variables: regression analysis? - Chapter 12 - Exclusive
What is multiple regression? - Chapter 13 - Exclusive
How do you compare groups: analysis of variance methods - Chapter 14 - Exclusive
What does nonparametric statistics mean? - Chapter 15 - Exclusive
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Summary of Discovering statistics using IBM SPSS Statistics by Field - 5th edition - Exclusive

Summaries per chapter with Discovering statistics using IBM SPSS Statistics

Summaries per chapter with Discovering statistics using IBM SPSS Statistics

  • For summaries with all chapters of the 5th edition of Discovering statistics using IBM SPSS Statistics by Field, see the supporting content of this page

Table of content

  • Chapter 0 - What are the commonly used symbols in statistics?
  • Chapter 1 - Why does an evil teacher force students to learn statistics?
  • Chapter 2 - What does statistics consist of?
  • Chapter 3 - What are the limits of statistical research?
  • Chapter 4 - What does the SPSS statistics environment look like?
  • Chapter 5 - In which way can data be explored with graphs?
  • Chapter 6 - What is meant by the bias beast?
  • Chapter 7 - What is meant by a non-parametric test?
  • Chapter 8 - What is
.........Read more
What are the commonly used symbols in statistics? - Chapter 0 - Exclusive
Why does an evil teacher force students to learn statistics? - Chapter 1 - Exclusive
What does statistics consist of? - Chapter 2 - Exclusive
What are the limits of statistical research? - Chapter 3 - Exclusive
What does the SPSS statistics environment look like? - Chapter 4 - Exclusive
In which way can data be explored with graphs? - Chapter 5 - Exclusive
What is meant by the bias beast? - Chapter 6 - Exclusive
What is meant by a non-parametric test? - Chapter 7 - Exclusive
What is meant by the correlation between variables? - Chapter 8 - Exclusive
What are the main characteristics of the linear model? - Chapter 9 - Exclusive
How can two means be compared? - Chapter 10 - Exclusive
What is meant by moderation, mediation and multicategory predictors? - Chapter 11 - Exclusive
How are different independent means compared with each other? - Chapter 12 - Exclusive
What is meant by an ANCOVA? - Chapter 13 - Exclusive
What is meant by a factorial design? - Chapter 14 - Exclusive
What is meant by a repeated-measures design? - Chapter 15 - Exclusive
What are mixed designs? - Chapter 16 - Exclusive
What is meant by a MANOVA? - Chapter 17 - Exclusive
What are the main characteristics of an exploratory factor analysis? - Chapter 18 - Exclusive
How can categorical variables be analyzed? - Chapter 19 - Exclusive
What is meant by a loglinear analysis? - Chapter 20 - Exclusive
What is meant by multilevel linear models? - Chapter 21 - Exclusive
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Summary of Psychological testing: A Practical Introduction by Hogan - 3rd edition - Exclusive

Summaries per chapter with the 3rd edition of Psychological testing: A Practical Introduction by Hogan

What is psychological testing? - Chapter 1 - Exclusive
What are the nine major sources of information about tests? - Chapter 2 - Exclusive
What are test norms and how to use them? - Chapter 3 - Exclusive
How is reliability related to psychological testing? - Chapter 4 - Exclusive
How is validity related to psychological testing? - Chapter 5 - Exclusive
How to develop a test? - Chapter 6 - Exclusive
How to study intelligence? - Chapter 7 - Exclusive
How to administer individual intelligence test? - Chapter 8 - Exclusive
How to apply a group test of mental ability? - Chapter 9 - Exclusive
What is neuropsychological assessment? - Chapter 10 - Exclusive
How to test achievement? - Chapter 11 - Exclusive
What are objective personality tests? - Chapter 12 - Exclusive
How is testing applied in clinical settings? - Chapter 13 - Exclusive
What are projective techniques? - Chapter 14 - Exclusive
How to measure interests and attitudes? - Chapter 15 - Exclusive
How to deal with ethical and legal issues in testing? - Chapter 16 - Exclusive
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ACTIVITIES
Displaying 29 - 32 of 75
Icon What is a variable?
What is a variable?

A statistical variable is a characteristic, attribute, or quantity that can assume different values and can be measured or counted within a given population or sample. It's essentially a property that changes across individuals or observations. Key Points:

  • Variability: The defining featu...

Icon What are important elements of Bayesian statistics?
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The three most important elements of Bayesian statistics are:

  • The Prior: the relative plausibility of hypothesis, before seeing the data
  • Likelihood: the predictive updating factor
  • The Posterior: the relative plausibility of hypothesis, after seeing the data

For ...

Icon What is statistics?
What is statistics?

Statistics is the science of data, encompassing its collection, analysis, interpretation, and communication to extract knowledge and inform decision-making. This definition focuses on the core aspects of the field:

  • Data-driven: Statistics revolves around analyzing and interpreting data, not...

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SUMMARIES
Displaying 57 - 64 of 248
Icon Wat is confounding?
Wat is confounding?

Confounding, ook wel verstoring genoemd, is een statistisch fenomeen dat optreedt wanneer er een extra variabele in een onderzoek aanwezig is die niet wordt gecontroleerd, maar die de relatie tussen de onafhankelijke en afhankelijke variabelen beïnvloedt. Dit kan leiden tot verwarrende resultat...

Icon Wat is causaliteit?
Wat is causaliteit?

Causaliteit, ook wel oorzakelijkheid genoemd, beschrijft de relatie tussen oorzaak en gevolg. Het is het idee dat een gebeurtenis (de oorzaak) een andere gebeurtenis (het gevolg) teweegbrengt. Causaliteit is een centraal concept in veel wetenschappelijke disciplines, van natuurkunde tot sociologie. ...

Icon Wat is correlatie?
Wat is correlatie?

Correlatie beschrijft de statistische samenhang tussen twee variabelen. Het geeft aan in hoeverre de waarden van de ene variabele gepaard gaan met de waarden van de andere variabele. Correlatiecoëfficiënten variëren tussen -1 en +1:

  • +1: Perfecte positieve correlatie: toename ...

Icon What is statistics as study field?
What is statistics as study field?

Statistics, a captivating field, bridges the gap between mathematics and other disciplines. It's the science of:

  • Data: Collecting, analyzing, interpreting, and presenting information.
  • Uncertainty: Understanding and quantifying the inherent variability in data.
  • Drawing Mean...

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ALL RELATED CONTENT
Displaying 29 - 32 of 429
Icon Wat zijn afhankelijke en onafhankelijke variabelen? (3)
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Wat is een variabele? Een variabele is een element dat een bepaalde waarde kan aannemen. Het is een element dat je graag wilt meten en analyseren. Voorbeelden van een variabele zijn ‘geslacht’, ‘leeftijd’, ‘opleidingsniveau’ en ‘IQ’. Middels SPSS kun j...

Icon Wat is het onderscheidingsvermogen van een statistische toets (power)? (13)
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Het onderscheidend vermogen, of onderscheidingsvermogen van een statistische toets is de kans om een nulhypothese terecht te verwerpen, dus de kans dat de toets niet een fout van de tweede soort (type II-fout) maakt. Aangezien de alternatieve hypothese vaak samengesteld is, zal het onderscheidend ve...

Icon Wat zijn mogelijke assumpties bij parametrische testen in SPSS? (20)
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Assumpties zijn voorwaarden waaraan je data moet voldoen om een bepaalde toets uit te voeren. Deze assumpties verschillen bij elke toets. Wanneer er aan deze assumpties inderdaad voldaan is, geeft een parametrische toets doorgaans een beter onderscheidingsvermogen dan een niet-parametrische test. Bi...

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Statistiek: basisbundel

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Statistiek en methoden: samenvattingen, suggesties en tips van WorldSupporters

Statistiek en methoden: samenvattingen, suggesties en tips van WorldSupporters

Statistics and research: home bundle

Statistics and research: home bundle

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Icon Samenvatting van SPSS Survival Manual van Pallant - 6e druk
Samenvatting van SPSS Survival Manual van Pallant - 6e druk

Samengestelde samenvatting, gebaseerd op de SPSS Survival Manual van Pallant, 6e druk uit 2016. Deze samenvatting is zowel te gebruiken bij versie 24 van IBM SPSS als bij andere versies. Bij gebruik van andere versies kan het voorkomen dat de opties een soortgelijke naam hebben gekregen of een ...

Icon Startmagazine: Introduction to Statistics
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Introduction to Statistics: in short

  • Statistics comprises the arithmetic procedures to organize, sum up and interpret information. By means of statistics you can note information in a compact manner.
  • The aim of statistics is twofold: 1) organizing and summing up of information, in ...

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Icon Samenvatting van SPSS Survival Manual van Pallant - 6e druk
Samenvatting van SPSS Survival Manual van Pallant - 6e druk

Samengestelde samenvatting, gebaseerd op de SPSS Survival Manual van Pallant, 6e druk uit 2016. Deze samenvatting is zowel te gebruiken bij versie 24 van IBM SPSS als bij andere versies. Bij gebruik van andere versies kan het voorkomen dat de opties een soortgelijke naam hebben gekregen of een ...

Icon SPSS "Bijbel"
SPSS Bijbel

SPSS "Bijbel" Een praktisch en concreet handvat over hoe je SPSS het beste in kan zetten, opgedeeld rondom:

  • Het univariaat lineair model
  • Bilineaire modellen
  • Clusteranalyse
  • en een uitgewerkte oefening

Bron: internet, Joris Pieters 2006

Summaries related to Statistics and Data analysis Methods
Icon SPSS samenvatting
SPSS samenvatting

Deze bundel bevat een samenvatting van SPSS en is gebaseerd op de 24e versie. De volgende delen zijn beschikbaar: Wat is SPSS: een introductie (1) Definities en begrippen in SPSS (2) Afhankelijke en onafhankelijke variabelen (3) Meetschalen van variabelen (4) Gemiddelden berekenen (5) Variantie bere...

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