This page in your language
فارسی العربية Deutsch Español Français 日本語 한국어 Português 中文 हिन्दी
C2 noun #5,000 most common 9 min read

Stichprobengröße

Practice it Examples Notes & Tips Stichprobengröße in 30 Seconds
Explanation Stichprobengröße in your Level:
This level focuses on understanding and using very basic phrases and sentences related to personal information and immediate needs. The concept of statistical sampling is far beyond A1. At A1, learners are just beginning to grasp fundamental vocabulary and grammar. They can introduce themselves, ask and answer simple questions about personal details, and understand very basic instructions. Words related to abstract concepts, academic fields, or specialized technical jargon like 'Stichprobengröße' are not encountered. The focus is on survival language and immediate communication needs. Examples would include words like 'Hallo', 'Ich', 'bin', 'Name', 'Stadt', 'eins', 'zwei', 'drei'. The grammatical structures are simple subject-verb-object or question forms. The vocabulary is concrete and related to everyday objects and actions. There is no exposure to statistical terminology or complex compound words.
Sign up free to read full explanation
A2 learners can understand sentences and frequently used expressions related to areas of most immediate relevance (e.g. very basic personal and family information, shopping, local geography, employment). They can communicate in simple and routine tasks requiring a simple and direct exchange of information on familiar and routine matters. The concept of statistical sampling is still too advanced for this level. At A2, learners are building upon A1. They can handle simple, routine tasks and communicate about familiar topics. They might learn words related to daily routines, hobbies, weather, or simple descriptions of people and places. While they can form more complex sentences than at A1, abstract concepts and technical terms remain out of reach. They might learn words like 'essen', 'trinken', 'arbeiten', 'Haus', 'Auto', 'gut', 'schlecht', 'heute', 'morgen'. The grammar includes simple past and future tenses, but the vocabulary is still very concrete. Specialized terms like 'Stichprobengröße' are not part of the A2 curriculum.
Sign up free to read full explanation
B1 learners can understand the main points of clear standard input on familiar matters regularly encountered in work, school, leisure etc. They can deal with most situations likely to arise whilst travelling in an area where the language is spoken. They can produce simple connected text on topics which are familiar or of personal interest. They can describe experiences and events, dreams, hopes & ambitions and briefly give reasons and explanations for opinions and plans. While B1 learners can handle more complex topics, the specific technical term Stichprobengröße, with its inherent statistical context, is still likely to be too specialized. They might understand the general idea of 'sample' but not the precise term for its size in a research context. At B1, learners are becoming more independent and can discuss a wider range of topics. They can understand the gist of news articles or conversations about familiar subjects. They might learn vocabulary related to jobs, education, travel, and personal opinions. They can use more complex sentence structures and express cause and effect. However, specialized academic or scientific terminology like Stichprobengröße is generally not covered. Examples of B1 vocabulary might include 'lernen', 'arbeiten', 'reisen', 'Urlaub', 'Buch', 'Film', 'wichtig', 'interessant', 'weil', 'deshalb'. The focus is on general communication skills.
Sign up free to read full explanation
B2 learners can understand the main ideas of complex text on both concrete and abstract topics, including technical discussions in their field of specialization. They can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party. They can produce clear, detailed text on a wide range of subjects and explain a viewpoint on a topical issue giving the advantages and disadvantages of various options. This is where the concept of Stichprobengröße might start to appear, especially if the learner's field of specialization is related to research or statistics. They would be expected to understand its meaning in context, even if they don't use it fluently themselves. At B2, learners have a solid command of the language and can engage with more complex and abstract topics. They can understand specialized discussions within their field. Vocabulary related to academic subjects, professional contexts, and current affairs becomes more prominent. They can express nuanced opinions and understand arguments. If a B2 learner is studying a subject that involves research, they would likely encounter and understand Stichprobengröße. Examples of B2 vocabulary might include 'Forschung', 'Analyse', 'Ergebnis', 'Methode', 'Diskussion', 'Herausforderung', 'potenziell', 'signifikant'. They can understand complex sentence structures and idiomatic expressions.
Sign up free to read full explanation
C1 learners can understand a wide range of demanding, longer texts, and recognize implicit meaning. They can express themselves fluently and spontaneously without much obvious searching for expressions. They can use language flexibly and effectively for social, academic and professional purposes. They can produce clear, well-structured, detailed text on complex subjects, showing controlled use of organizational patterns, connectors and cohesive devices. At C1, Stichprobengröße would be fully understood and could be used correctly in academic or professional contexts. Learners at this level are expected to master specialized vocabulary relevant to their studies or work. At C1, learners have a high level of proficiency and can use language effectively in diverse situations. They can understand subtle meanings, nuances, and complex arguments. They can participate in sophisticated discussions and write detailed, well-organized texts. Specialized vocabulary from various academic and professional fields is expected. A C1 learner would not only understand Stichprobengröße but would likely be able to use it correctly in essays, presentations, or research papers, understanding its statistical implications. Examples of C1 vocabulary might include 'implizit', 'nuanciert', 'facettenreich', 'fundiert', 'diskutieren', 'analysieren', 'synthetisieren'. They are adept at using complex grammatical structures and idiomatic language.
Sign up free to read full explanation
C2 learners have an ease of understanding which is almost always effortless. They can summarize information from different spoken and written sources, reconstructing arguments and accounts in a coherent presentation. They can express themselves spontaneously, very fluently and precisely, differentiating finer shades of meaning even in more complex situations. At C2, Stichprobengröße is a term they would know intimately if it falls within their academic or professional domain, and they would use it with absolute precision, understanding all its statistical nuances and implications. They are masters of specialized terminology. At C2, learners have reached a near-native level of fluency and comprehension. They can understand virtually everything they read or hear, including highly specialized and technical content. They can express themselves with exceptional precision and fluidity, using a wide range of vocabulary and grammatical structures. For a C2 learner, Stichprobengröße is a familiar term, and they would understand its precise meaning, its statistical implications, and its correct usage in any relevant context. They can also discuss the finer points of research methodology, including debates about optimal sample sizes and their impact on research outcomes. They are capable of producing highly sophisticated academic or professional texts.
Practice it Examples Notes & Tips

Stichprobengröße in 30 Seconds

  • The number of participants in a research sample.
  • Crucial for statistical reliability and validity.
  • Determined by research goals and statistical methods.
  • A key concept in academic research and statistics.
Core Meaning
The term Stichprobengröße refers to the number of individuals or items included in a sample, which is drawn from a larger population for the purpose of statistical inference. It is a crucial concept in research methodology, particularly in fields like statistics, sociology, psychology, market research, and scientific studies.
Academic Significance
In academic circles, the Stichprobengröße is paramount because it directly impacts the reliability and validity of research findings. A sample that is too small may not be representative of the population, leading to inaccurate conclusions. Conversely, an unnecessarily large sample can be resource-intensive and inefficient. Therefore, determining the appropriate Stichprobengröße often involves complex calculations based on desired confidence levels, margin of error, and the variability within the population.
Contexts of Use
You will encounter Stichprobengröße in academic papers, research proposals, statistical software documentation, and discussions about experimental design. It is a fundamental element when planning surveys, clinical trials, opinion polls, and any study that aims to generalize findings from a subset of a larger group. The precision of statistical analyses, such as hypothesis testing and confidence interval estimation, is heavily dependent on this parameter.
Etymological Insight
The word itself is a compound noun. 'Stichprobe' means 'sample', and 'Größe' means 'size'. Thus, Stichprobengröße literally translates to 'sample size'. This clear etymology underscores its direct and functional meaning in statistical discourse.

The determination of an adequate Stichprobengröße is a critical step in designing a robust scientific study.

Researchers must carefully consider the intended statistical power when calculating the required Stichprobengröße.

A pilot study can help inform the estimation of the necessary Stichprobengröße for the main research project.

Standard Usage
The most straightforward use of Stichprobengröße is in declarative sentences discussing research design and statistical planning. For instance, 'Die Wahl der richtigen Stichprobengröße ist entscheidend für die Generalisierbarkeit der Ergebnisse.' (The choice of the correct sample size is crucial for the generalizability of the results.) This highlights its direct role in ensuring study validity.
In Research Questions and Hypotheses
When formulating research questions or hypotheses, the feasibility concerning the Stichprobengröße is often a consideration. A sentence like: 'Unsere Hypothese kann nur mit einer ausreichenden Stichprobengröße statistisch signifikant getestet werden.' (Our hypothesis can only be statistically significantly tested with a sufficient sample size.) demonstrates this relationship.
In Method Sections of Papers
Academic papers frequently detail the methodology, where the Stichprobengröße is explicitly stated and justified. For example: 'Die Studie umfasste eine Stichprobengröße von 500 Teilnehmern, die mittels einer geschichteten Zufallsstichprobe ausgewählt wurden.' (The study included a sample size of 500 participants, selected via a stratified random sample.)
When Discussing Limitations
A common point of discussion in research is the limitation imposed by an inadequate Stichprobengröße. A researcher might state: 'Eine Einschränkung dieser Untersuchung ist die relativ kleine Stichprobengröße, die die Aussagekraft der Ergebnisse begrenzt.' (A limitation of this investigation is the relatively small sample size, which limits the power of the results.)
In Statistical Calculations
When explaining statistical procedures, the Stichprobengröße is a direct input. For instance: 'Für die Durchführung des t-Tests wurde eine Mindest-Stichprobengröße von 30 pro Gruppe angenommen.' (For conducting the t-test, a minimum sample size of 30 per group was assumed.)

Die Forscher diskutierten intensiv über die optimale Stichprobengröße für ihre bevorstehende Umfrage.

Eine zu kleine Stichprobengröße kann zu verzerrten Ergebnissen führen.

Die Berechnung der benötigten Stichprobengröße erfolgte mithilfe einer Power-Analyse.

University Lectures
In German-speaking universities, particularly in courses on statistics, research methods, psychology, sociology, economics, and medicine, the term Stichprobengröße is a staple. Professors will frequently use it when explaining how to design studies, interpret results, and understand the limitations of empirical research. You'll hear it in lectures, seminars, and during discussions about student theses.
Academic Conferences and Seminars
When researchers present their findings or discuss ongoing projects at conferences, the Stichprobengröße is almost always mentioned. It's a key piece of information that allows other experts to evaluate the study's robustness. Discussions often revolve around whether the sample size was adequate for the conclusions drawn.
Research Institutions and Think Tanks
In organizations dedicated to research, whether governmental or private, the planning and execution of studies involve constant reference to the Stichprobengröße. This is especially true for market research firms, polling agencies, and scientific research departments of companies.
Statistical Software and Methodological Guides
When you use statistical software like SPSS, R, or Stata in German, or consult German-language manuals and textbooks on statistics and research design, you will invariably encounter the term Stichprobengröße. It's a fundamental parameter for setting up analyses and interpreting output.
Academic Debates and Peer Review
During the peer review process for academic journals, the adequacy of the Stichprobengröße is often a point of critical evaluation. Reviewers will scrutinize whether the sample size was sufficient to support the claimed findings, and authors will defend their chosen sample size in their responses.

Im Fachgespräch über die neue Studie wurde die Stichprobengröße als kritischer Faktor hervorgehoben.

Die Dozentin erklärte, wie die Stichprobengröße die statistische Aussagekraft beeinflusst.

Auf der Konferenz wurde die Methodik der Datenerhebung und die daraus resultierende Stichprobengröße diskutiert.

Confusing with 'Probe' or 'Stichprobe' alone
A common mistake for learners is to use the word 'Probe' (test, sample) or 'Stichprobe' (sample) when they specifically mean the *size* of the sample. While 'Stichprobe' is the noun for the sample itself, Stichprobengröße is the specific term for its numerical quantity. For example, saying 'Ich habe eine Stichprobe gemacht' (I took a sample) is correct, but if you want to talk about its size, you must say 'Die Stichprobengröße war 100' (The sample size was 100).
Using a general term for 'size'
Instead of using the precise term Stichprobengröße, learners might mistakenly use a more general word for size, like 'Größe der Stichprobe'. While grammatically correct and understandable, it's less precise and less common in formal academic contexts where the compound noun is standard. The compound form is more concise and idiomatic in technical German.
Incorrect grammatical gender or pluralization
As a noun, Stichprobengröße has a grammatical gender and a plural form. The gender is feminine ('die Stichprobengröße'). While the plural form is rarely used in singular discussions, it is 'die Stichprobengrößen'. Incorrectly using 'der Stichprobengröße' or struggling with the plural can be a mistake. Most often, it's used in the singular, referring to a single study's sample size.
Over- or under-emphasizing its importance
While Stichprobengröße is crucial, some might mistakenly believe it's the *only* factor determining a study's quality. Others might dismiss its importance entirely, focusing only on qualitative aspects. The mistake is in failing to understand that it's one of several critical methodological components, alongside sampling method, data collection techniques, and analytical rigor.
Using it in informal contexts inappropriately
Stichprobengröße is a technical term. Using it in casual conversation about everyday matters would sound overly academic and out of place. For instance, discussing the number of people at a party as 'die Stichprobengröße der Feier' would be incorrect and humorous. It belongs strictly to research and statistical discourse.

Falsch: 'Die Stichprobe war groß.' Richtig: 'Die Stichprobengröße war groß.'

Verwechslung: 'Die Stichprobe' vs. 'die Stichprobengröße'.

Falsche Artikelverwendung: 'Der Stichprobengröße' statt 'Die Stichprobengröße'.

Stichprobe (Sample)
Stichprobe refers to the actual group of individuals or items selected for study. It's the subset from which data is collected. Stichprobengröße is the numerical count of elements within that Stichprobe.

Example: 'Die Stichprobe bestand aus 200 Studenten.' (The sample consisted of 200 students.)
Example: 'Die Stichprobengröße betrug 200.' (The sample size was 200.)
Umfang (Scope, extent, size)
'Umfang' is a more general term for size or extent. While 'Umfang der Stichprobe' can sometimes be used to mean sample size, Stichprobengröße is the more precise and commonly used technical term in statistics and research methodology. 'Umfang' is used for many other things, like the circumference of a circle or the scope of a project.

Example: 'Der Umfang des Projekts ist sehr groß.' (The scope of the project is very large.)
Example: 'Der Umfang der Stichprobe wurde auf 500 festgelegt.' (The size of the sample was set at 500.) - Here, Stichprobengröße is preferred.
Anzahl (Number, quantity)
'Anzahl' simply means 'number' or 'quantity'. You could say 'Die Anzahl der Teilnehmer' (the number of participants), which is essentially the same as the sample size. However, Stichprobengröße is the specialized term that carries the statistical implication of representativeness and inferential statistics.

Example: 'Die Anzahl der befragten Personen war 1000.' (The number of people surveyed was 1000.)
Example: 'Die Stichprobengröße für diese Studie war 1000.' (The sample size for this study was 1000.) - This is more precise.
Stichprobenumfang (Sample size - alternative)
'Stichprobenumfang' is a direct synonym for Stichprobengröße and is also commonly used, especially in academic and statistical contexts. It is formed by combining 'Stichprobe' and 'Umfang'. Both terms are equally valid and interchangeable in most technical contexts.

Example: 'Wir müssen den Stichprobenumfang für unsere Studie berechnen.' (We need to calculate the sample size for our study.)
Example: 'Die Stichprobengröße wurde auf Basis der erwarteten Varianz bestimmt.' (The sample size was determined based on the expected variance.)

'Die Stichprobe ist wichtig, aber die Stichprobengröße bestimmt die statistische Aussagekraft.'

Obwohl 'Umfang der Stichprobe' verstanden wird, ist 'Stichprobengröße' der präzisere Fachbegriff.

'Anzahl der Teilnehmer' ist eine allgemeine Beschreibung, während 'Stichprobengröße' den statistischen Kontext impliziert.

How Formal Is It?

Formal

"Die Bestimmung einer adäquaten <strong>Stichprobengröße</strong> ist für die statistische Validität der Untersuchung unabdingbar."

Neutral

"Wir müssen die <strong>Stichprobengröße</strong> für unsere Studie berechnen."

Informal

"Wir brauchen genug Leute für die Studie, damit die Ergebnisse stimmen."

Child friendly

"Wenn wir viele Kinder befragen, wissen wir besser, was alle Kinder mögen."

Fun Fact

The 'ß' in 'Größe' is called 'Eszett' or 'scharfes S'. It represents a voiceless 's' sound and is used after long vowels or diphthongs. Its presence in 'Größe' is standard and indicates its pronunciation as a strong 's' sound.

Pronunciation Guide

UK /ˈʃtɪçˌpʁoːbənˌɡʁøːsə/
US /ˈʃtɪçˌpʁoːbənˌɡʁøːsə/
Primary stress on the first syllable 'STICH', secondary stress on 'PRO-ben' and 'GRÖ-ße'.
Rhymes With
Größe Maße Klasse Tasse Nase Blase Phase Reise
Common Errors
  • Mispronouncing the 'ch' sound in 'Stich' and 'Größe'.
  • Incorrectly pronouncing the umlaut 'ö'.
  • Struggling with the compound word structure and stress.
  • Confusing the 'ß' with a standard 's'.

Difficulty Rating

Reading 5/5

At C2 level, understanding detailed academic texts discussing statistical methodology, including the nuances of <strong>Stichprobengröße</strong>, is expected. This involves comprehending complex sentences, specialized vocabulary, and implicit meanings within research papers and statistical analyses.

Writing 5/5

Using <strong>Stichprobengröße</strong> correctly in academic writing, such as in research proposals, methodology sections, or discussion parts of papers, requires precise vocabulary and grammatical accuracy, typical of C2 proficiency.

Speaking 5/5

Discussing research designs, presenting findings, or debating statistical approaches in German necessitates fluent and precise use of terms like <strong>Stichprobengröße</strong>, understanding its implications in spoken academic discourse.

Listening 5/5

Comprehending lectures, conference presentations, or expert discussions on research methodology where <strong>Stichprobengröße</strong> is a key topic requires advanced listening skills at the C2 level.

What to Learn Next

Prerequisites

Stichprobe Größe Statistik Forschung Analyse Zahl Menge Ergebnis Teilnehmer Grundgesamtheit

Learn Next

statistische Power Signifikanzniveau Konfidenzintervall Fehler erster Art Fehler zweiter Art Stichprobenziehung Power-Analyse repräsentativ Generalisierbarkeit Validität

Advanced

Multivariate Analyse Regressionanalyse Faktorenanalyse Strukturgleichungsmodellierung Bayesianische Statistik Meta-Analyse Qualitative Forschungsmethoden Studiendesign

Grammar to Know

Compound Nouns: Many German nouns are formed by combining two or more words. The gender of the compound noun is determined by the gender of the last word ('Größe' is feminine, so 'Stichprobengröße' is feminine).

Stichprobe (f) + Größe (f) = Stichprobengröße (f)

Case Usage with Prepositions: The preposition 'durch' (through/by) typically takes the accusative case. This is common when discussing how something is affected or determined.

Die Ergebnisse werden durch die Stichprobengröße beeinflusst.

Passive Voice: The passive voice is frequently used in academic and technical writing to maintain objectivity. It often uses 'werden' + past participle.

Die Stichprobengröße muss sorgfältig berechnet werden.

Subordinate Clauses with 'dass': Clauses introduced by 'dass' (that) send the conjugated verb to the end of the clause. This is common when explaining conditions or requirements.

Es ist wichtig, dass die Stichprobengröße angemessen ist.

Adjective Endings: Adjectives agree in gender, number, and case with the noun they modify. This is crucial for precise description.

Eine kleine Stichprobengröße kann zu Problemen führen.

Sign up free to read full explanation

Examples by Level

1

2

3

4

5

6

7

8

1

2

3

4

5

6

7

8

1

Die Forscher untersuchen, wie die Stichprobengröße die Ergebnisse beeinflusst.

The researchers are investigating how the sample size influences the results.

The verb 'untersuchen' (to investigate) is followed by the accusative case. 'die Ergebnisse' is the accusative plural of 'das Ergebnis'.

2

Für eine genaue Studie brauchen wir eine gute Stichprobengröße.

For an accurate study, we need a good sample size.

'brauchen' (to need) takes the accusative case. 'eine gute Stichprobengröße' is the accusative form.

3

Die Größe der Stichprobe ist wichtig für die Zuverlässigkeit.

The size of the sample is important for reliability.

This sentence uses 'Größe der Stichprobe' which is understandable but less technical than 'Stichprobengröße'. 'Zuverlässigkeit' (reliability) is feminine.

4

Sie sprachen über die optimale Stichprobengröße für ihre Umfrage.

They spoke about the optimal sample size for their survey.

'sprachen über' (spoke about) is followed by the accusative case. 'die optimale Stichprobengröße'.

5

Eine kleine Stichprobengröße kann zu falschen Schlussfolgerungen führen.

A small sample size can lead to false conclusions.

'führen zu' (to lead to) is followed by the dative case. 'falschen Schlussfolgerungen' is the dative plural.

6

Wir müssen die Stichprobengröße für die nächste Forschungsarbeit festlegen.

We need to determine the sample size for the next research paper.

'festlegen' (to determine, to set) takes an object in the accusative case: 'die Stichprobengröße'.

7

Das Experiment funktionierte gut, aber die Stichprobengröße war zu klein.

The experiment worked well, but the sample size was too small.

The adjective 'klein' (small) describes 'Stichprobengröße'.

8

Die Studie hatte eine Stichprobengröße von hundert Personen.

The study had a sample size of one hundred people.

'haben' (to have) takes an object in the accusative case. 'eine Stichprobengröße'.

1

Die Wahl der adäquaten Stichprobengröße ist ein fundamentaler Schritt in der empirischen Forschung.

The choice of the adequate sample size is a fundamental step in empirical research.

'adäquat' is an adjective modifying 'Stichprobengröße'. 'fundamentaler' modifies 'Schritt'.

2

Eine Power-Analyse hilft dabei, die notwendige Stichprobengröße zu ermitteln.

A power analysis helps to determine the necessary sample size.

'hilft dabei' (helps with it) often implies an infinitive clause or a noun phrase in dative. 'die notwendige Stichprobengröße' is the accusative object of 'ermitteln'.

3

Die statistische Signifikanz der Ergebnisse hängt maßgeblich von der Stichprobengröße ab.

The statistical significance of the results depends significantly on the sample size.

'abhängen von' (to depend on) requires the dative case. 'der Stichprobengröße' is dative.

4

Bei der Planung der Studie wurde eine Stichprobengröße von mindestens 500 Teilnehmern angesetzt.

When planning the study, a sample size of at least 500 participants was set.

'angesetzt' (set, planned) is the past participle. The sentence structure implies a passive construction or a statement of fact about the planning.

5

Die Korrelation zwischen den Variablen war bei kleiner Stichprobengröße nicht signifikant.

The correlation between the variables was not significant with a small sample size.

'bei' (with, in the case of) can trigger the dative case. 'kleiner Stichprobengröße' is dative.

6

Die Forscher diskutierten über die Implikationen einer unzureichenden Stichprobengröße.

The researchers discussed the implications of an insufficient sample size.

'diskutieren über' (to discuss about) takes the accusative. 'die Implikationen' and 'einer unzureichenden Stichprobengröße' (genitive).

7

Die Berechnung der benötigten Stichprobengröße erfolgte mithilfe einer G*Power-Analyse.

The calculation of the required sample size was performed using a G*Power analysis.

'mithilfe von' (with the help of) takes the genitive. 'einer G*Power-Analyse' is genitive. Here, 'Stichprobengröße' is part of the object of 'Berechnung'.

8

Eine repräsentative Stichprobengröße ist unerlässlich, um valide Schlussfolgerungen ziehen zu können.

A representative sample size is essential to be able to draw valid conclusions.

'unerlässlich' (essential) is an adjective. 'um...zu können' introduces an infinitive clause.

1

Die Validität der Forschungsergebnisse korreliert direkt mit der Angemessenheit der gewählten Stichprobengröße.

The validity of the research findings correlates directly with the appropriateness of the chosen sample size.

'korreliert mit' (correlates with) takes the dative case. 'der Angemessenheit' and 'der gewählten Stichprobengröße' (genitive).

2

Es ist unerlässlich, dass die Stichprobengröße so kalkuliert wird, dass die statistische Aussagekraft maximiert wird.

It is essential that the sample size is calculated in such a way that the statistical power is maximized.

'dass' introduces a subordinate clause, verb at the end. 'die statistische Aussagekraft' is accusative object of 'maximiert'.

3

Die Problematik einer zu geringen Stichprobengröße kann durch multivariate Analyseverfahren teilweise kompensiert werden.

The problem of an excessively small sample size can be partially compensated for by multivariate analysis methods.

'durch' (by, through) takes the accusative case. 'multivariate Analyseverfahren' is accusative plural.

4

Bei der Interpretation der Daten muss stets die potenzielle Verzerrung durch die Stichprobengröße berücksichtigt werden.

When interpreting the data, potential bias due to the sample size must always be taken into account.

'durch' takes the accusative. 'die Stichprobengröße' is accusative. 'berücksichtigt werden' is passive voice.

5

Die Festlegung der Stichprobengröße obliegt der methodischen Expertise des Forschungsteams.

The determination of the sample size falls under the methodological expertise of the research team.

'obliegt' (is incumbent upon, falls to) takes the dative. 'der methodischen Expertise'.

6

Ein Mangel an ökonomischen Ressourcen limitierte die erreichbare Stichprobengröße erheblich.

A lack of economic resources significantly limited the achievable sample size.

'limitierte' (limited) takes an accusative object: 'die erreichbare Stichprobengröße'.

7

Die Konsistenz der Ergebnisse über verschiedene Studien hinweg kann die Schwächen einer einzelnen, kleinen Stichprobengröße mildern.

The consistency of results across different studies can mitigate the weaknesses of a single, small sample size.

'mildern' (to mitigate) takes an accusative object: 'die Schwächen'.

8

Die Debatte um die optimale Stichprobengröße wird durch die Fortschritte in der computergestützten Statistik neu belebt.

The debate about the optimal sample size is being re-energized by advances in computer-assisted statistics.

'wird...belebt' is passive voice. 'durch die Fortschritte' is accusative.

1

Die statistische Power, die für die Detektion eines Effekts mit einer bestimmten Effektstärke und einem gegebenen Signifikanzniveau erforderlich ist, bestimmt maßgeblich die Mindest-Stichprobengröße.

The statistical power required to detect an effect of a certain effect size and a given significance level significantly determines the minimum sample size.

This is a long, complex sentence with multiple subordinate clauses. 'bestimmt' (determines) takes an accusative object: 'die Mindest-Stichprobengröße'.

2

Bei der Auswertung von Längsschnittstudien muss die Dynamik der Drop-out-Raten bei der Kalkulation der anfänglichen Stichprobengröße unbedingt berücksichtigt werden.

When analyzing longitudinal studies, the dynamics of drop-out rates must absolutely be taken into account when calculating the initial sample size.

'bei der Auswertung' (upon analysis) uses dative. 'bei der Kalkulation' (upon calculation) uses dative. 'berücksichtigt werden' is passive voice.

3

Die Problematik der Überanpassung (Overfitting) in komplexen Modellen ist eng mit der Wahl einer adäquaten Stichprobengröße verknüpft.

The problem of overfitting in complex models is closely linked to the choice of an adequate sample size.

'verknüpft mit' (linked with) takes the dative case. 'einer adäquaten Stichprobengröße' is dative.

4

Die Entscheidung über die optimale Stichprobengröße involviert einen Kompromiss zwischen statistischer Präzision und ökonomischen sowie logistischen Restriktionen.

The decision about the optimal sample size involves a compromise between statistical precision and economic as well as logistical restrictions.

'involviert' (involves) takes an accusative object: 'einen Kompromiss'. 'zwischen...und...' (between...and...) introduces two elements in the dative case.

5

Die Generalisierbarkeit von Ergebnissen aus nicht-probabilistischen Stichproben ist notorisch problematisch und bedarf einer kritischen Auseinandersetzung mit der inhärenten Stichprobengröße.

The generalizability of results from non-probabilistic samples is notoriously problematic and requires a critical engagement with the inherent sample size.

'mit' (with) takes the dative case. 'der inhärenten Stichprobengröße' is dative.

6

Die Methodologie zur Bestimmung der Stichprobengröße variiert je nach Forschungsdesign und der Art der statistischen Analyse.

The methodology for determining sample size varies depending on the research design and the type of statistical analysis.

'je nach' (depending on) takes the dative case. 'dem Forschungsdesign' and 'der Art der statistischen Analyse' are dative.

7

Eine hinreichend große Stichprobengröße ist eine notwendige, aber keine hinreichende Bedingung für die wissenschaftliche Belastbarkeit einer Studie.

A sufficiently large sample size is a necessary, but not sufficient, condition for the scientific robustness of a study.

'für' (for) takes the accusative case. 'die wissenschaftliche Belastbarkeit' is accusative.

8

Die Herausforderung liegt darin, eine Stichprobengröße zu definieren, die sowohl statistisch aussagekräftig als auch praktisch realisierbar ist.

The challenge lies in defining a sample size that is both statistically powerful and practically feasible.

'in' (in) takes the dative case. 'einer Stichprobengröße' is dative. 'sowohl...als auch...' (both...and...) connects two adjectives.

Common Collocations

bestimmte Stichprobengröße
ausreichende Stichprobengröße
kleine Stichprobengröße
große Stichprobengröße
optimale Stichprobengröße
adäquate Stichprobengröße
repräsentative Stichprobengröße
minimale Stichprobengröße
berechnen Stichprobengröße
festlegen Stichprobengröße

Common Phrases

die Stichprobengröße bestimmen

— To determine the sample size. This phrase refers to the process of calculating or deciding how many participants or items are needed for a study.

Wir müssen die <strong>Stichprobengröße</strong> für unsere neue Studie <strong>bestimmen</strong>.

die Stichprobengröße erhöhen/verringern

— To increase/decrease the sample size. This refers to changing the number of participants in a study, often due to practical or statistical reasons.

Aufgrund von Budgetkürzungen mussten wir die <strong>Stichprobengröße verringern</strong>.

eine Stichprobengröße von X haben

— To have a sample size of X. This is a direct statement of the numerical quantity of the sample.

Die Untersuchung hatte <strong>eine Stichprobengröße von</strong> 250 Teilnehmern.

die Stichprobengröße berücksichtigen

— To take the sample size into account. This means considering the sample size when interpreting results or planning research.

Bei der Interpretation der Ergebnisse muss die <strong>Stichprobengröße berücksichtigt</strong> werden.

die Stichprobengröße beeinflussen

— To influence the sample size. This refers to factors that affect the decision about or the achievement of a particular sample size.

Die Verfügbarkeit von Finanzmitteln <strong>beeinflusst</strong> die mögliche <strong>Stichprobengröße</strong>.

die Stichprobengröße rechtfertigen

— To justify the sample size. This involves explaining why a particular sample size was chosen or is appropriate for a study.

Der Autor muss die gewählte <strong>Stichprobengröße</strong> in seiner Methodik <strong>rechtfertigen</strong>.

die Stichprobengröße festlegen

— To set or establish the sample size. This is similar to 'bestimmen' but often implies a more definitive decision.

Die Forscher <strong>legten</strong> die <strong>Stichprobengröße</strong> auf 1000 <strong>fest</strong>.

die Stichprobengröße ist entscheidend

— The sample size is crucial. This emphasizes the importance of the sample size for the success or validity of a study.

Für die Validität der Studie <strong>ist</strong> die <strong>Stichprobengröße entscheidend</strong>.

eine repräsentative Stichprobengröße

— A representative sample size. This refers to a sample size that accurately reflects the characteristics of the population from which it was drawn.

Um verallgemeinerbare Ergebnisse zu erhalten, ist <strong>eine repräsentative Stichprobengröße</strong> erforderlich.

die Stichprobengröße im Verhältnis zur Grundgesamtheit

— The sample size in relation to the population. This highlights the proportion of the population that the sample represents.

<strong>Die Stichprobengröße</strong> im Verhältnis zur <strong>Grundgesamtheit</strong> war hier sehr gering.

Often Confused With

Stichprobengröße vs Stichprobe

'Stichprobe' refers to the sample itself (the group of people or items), whereas Stichprobengröße refers specifically to the numerical count of elements within that sample.

Stichprobengröße vs Umfang

'Umfang' is a more general term for size or extent. While 'Umfang der Stichprobe' can be used, Stichprobengröße is the more precise and standard technical term in statistical contexts.

Stichprobengröße vs Anzahl

'Anzahl' simply means 'number' or 'quantity'. While it can refer to the number of participants, Stichprobengröße carries the specific statistical implication of representativeness and inferential power.

Idioms & Expressions

"Die Stichprobengröße steht und fällt mit..."

— The sample size stands and falls with... (meaning: the success or failure of something depends heavily on the sample size). This idiom emphasizes the critical role of the sample size.

Bei dieser Art von Umfrage steht und fällt die Aussagekraft mit der Stichprobengröße.

"Auf Nummer sicher gehen bei der Stichprobengröße"

— To play it safe with the sample size (meaning: to choose a larger sample size than strictly necessary to minimize risks of insufficient data or power).

Viele Forscher gehen auf Nummer sicher und wählen eine etwas größere Stichprobengröße.

"Die Stichprobengröße im Griff haben"

— To have the sample size under control (meaning: to have successfully planned, determined, or managed the sample size effectively).

Wenn man die notwendigen Berechnungen durchführt, hat man die Stichprobengröße gut im Griff.

"Ein Tropfen auf den heißen Stein (in Bezug auf Stichprobengröße)"

— A drop in the ocean (in relation to sample size) (meaning: a sample size that is so small it has virtually no impact or statistical power).

Mit nur zehn Teilnehmern war die Stichprobengröße wirklich ein Tropfen auf den heißen Stein.

"Die Stichprobengröße bis ins letzte Detail planen"

— To plan the sample size down to the last detail (meaning: to meticulously plan and calculate the sample size).

Für klinische Studien muss man die Stichprobengröße bis ins letzte Detail planen.

"Die Stichprobengröße als Knackpunkt sehen"

— To see the sample size as a sticking point or bottleneck (meaning: the sample size is the main challenge or issue in a research project).

Die Finanzierung ist gesichert, aber die Stichprobengröße bleibt der Knackpunkt.

"Die Stichprobengröße aufstocken"

— To increase the sample size (similar to 'erhöhen', but implies adding more to an existing or planned amount).

Wir konnten zusätzliche Mittel erhalten, um die Stichprobengröße aufzustocken.

"Die Stichprobengröße als Nebensache abtun"

— To dismiss the sample size as a minor issue (meaning: to not give enough importance to the sample size).

Es wäre ein Fehler, die Stichprobengröße als Nebensache abzutun.

"Die Stichprobengröße im Auge behalten"

— To keep an eye on the sample size (meaning: to monitor the sample size during data collection or analysis).

Während der Datenerhebung müssen wir die Stichprobengröße ständig im Auge behalten.

"Die Stichprobengröße ist das A und O"

— The sample size is the alpha and omega (meaning: the sample size is the most important thing).

Für eine aussagekräftige Studie ist die Stichprobengröße das A und O.

Easily Confused

Stichprobengröße vs Stichprobe

Both words relate to the concept of sampling.

<strong>Stichprobe</strong> is the actual sample (the collection of individuals or items). <strong>Stichprobengröße</strong> is the number of individuals or items in that sample. You have a 'Stichprobe' and its 'Stichprobengröße'.

Die <strong>Stichprobe</strong> bestand aus 50 Studenten. Die <strong>Stichprobengröße</strong> war also 50.

Stichprobengröße vs Umfang

Both refer to size or quantity.

<strong>Stichprobengröße</strong> is a specific technical term for the number of elements in a sample for statistical purposes. 'Umfang' is a general term for size, extent, or scope, and can apply to many things (e.g., 'Umfang eines Projekts', 'Umfang einer Stadt'). While 'Umfang der Stichprobe' is understandable, 'Stichprobengröße' is more precise in research contexts.

Der <strong>Umfang</strong> des Buches ist groß. Die <strong>Stichprobengröße</strong> der Studie war 300.

Stichprobengröße vs Anzahl

Both refer to a quantity.

<strong>Stichprobengröße</strong> is a specialized term in statistics and research methodology that implies a calculated or determined number for drawing inferences about a population. 'Anzahl' is a general word for 'number' or 'quantity' and doesn't carry these specific statistical implications on its own.

Die <strong>Anzahl</strong> der Personen war 100. Die <strong>Stichprobengröße</strong> für die Studie wurde auf 100 festgelegt, um eine ausreichende Power zu gewährleisten.

Stichprobengröße vs Grundgesamtheit

Both are related to sampling, one being the source of the other.

<strong>Stichprobengröße</strong> refers to the number of elements in the sample (the subset). 'Grundgesamtheit' refers to the entire population from which the sample is drawn. The sample size is typically much smaller than the population size.

Die <strong>Grundgesamtheit</strong> umfasste alle Einwohner Deutschlands. Die <strong>Stichprobengröße</strong> für die Umfrage betrug 1.000.

Stichprobengröße vs Stichprobenumfang

They are direct synonyms.

<strong>Stichprobengröße</strong> and Stichprobenumfang are virtually identical in meaning and usage in academic and statistical contexts. Both refer to the number of elements in a sample.

Die <strong>Stichprobengröße</strong> wurde sorgfältig berechnet. Der <strong>Stichprobenumfang</strong> wurde auf Basis der erwarteten Varianz bestimmt.

Sentence Patterns

B1

Die [Adjektiv] <strong>Stichprobengröße</strong> ist wichtig für [Nomen].

Die <strong>kleine Stichprobengröße</strong> ist wichtig für die schnelle Datenerfassung.

B2

Eine [Adjektiv] <strong>Stichprobengröße</strong> von [Zahl] wurde für die Studie gewählt.

Eine <strong>ausreichende Stichprobengröße</strong> von 500 wurde für die Studie gewählt.

B2

Die <strong>Stichprobengröße</strong> beeinflusst die [Nomen].

Die <strong>Stichprobengröße</strong> beeinflusst die statistische Aussagekraft.

C1

Die Wahl einer [Adjektiv] <strong>Stichprobengröße</strong> ist entscheidend für die [Nomen].

Die Wahl einer <strong>repräsentativen Stichprobengröße</strong> ist entscheidend für die Generalisierbarkeit der Ergebnisse.

C1

Es ist unerlässlich, dass die <strong>Stichprobengröße</strong> [Verb].

Es ist unerlässlich, dass die <strong>Stichprobengröße</strong> sorgfältig berechnet <strong>wird</strong>.

C2

Die [Nomen] der <strong>Stichprobengröße</strong> bestimmt die [Nomen].

Die Angemessenheit der <strong>Stichprobengröße</strong> bestimmt die statistische Power.

C2

Bei der Analyse muss die <strong>Stichprobengröße</strong> im Verhältnis zu [Faktor] betrachtet werden.

Bei der Analyse muss die <strong>Stichprobengröße</strong> im Verhältnis zu den erwarteten Effekten betrachtet werden.

C2

Die Kalibrierung der <strong>Stichprobengröße</strong> erfolgt unter Berücksichtigung von [Faktoren].

Die Kalibrierung der <strong>Stichprobengröße</strong> erfolgt unter Berücksichtigung von Fehlerraten und Konfidenzniveaus.

Word Family

Nouns

Verbs

Adjectives

Related

Sign up free to see all examples

How to Use It

frequency

High in academic and research contexts; very low in general conversation.

Common Mistakes
  • Using 'Stichprobe' when 'Stichprobengröße' is meant. → Die <strong>Stichprobengröße</strong> war 100.

    Confusing the sample itself with its numerical size. 'Stichprobe' is the group; '<strong>Stichprobengröße</strong>' is the count.

  • Using 'Umfang der Stichprobe' instead of the more technical 'Stichprobengröße' in formal writing. → Die <strong>Stichprobengröße</strong> wurde statistisch bestimmt.

    While 'Umfang der Stichprobe' is understandable, '<strong>Stichprobengröße</strong>' is the precise and preferred technical term in academic contexts.

  • Incorrect gender or case usage (e.g., 'der Stichprobengröße' in nominative). → <strong>Die Stichprobengröße</strong> ist entscheidend.

    Remember that 'Stichprobengröße' is feminine ('die'). Ensure correct article and case endings are used based on the sentence structure.

  • Using 'Stichprobengröße' in informal conversation. → Wie viele Leute hast du gefragt?

    '<strong>Stichprobengröße</strong>' is a technical term. In casual talk, use simpler phrasing like 'number of people' or 'how many participants'.

  • Treating sample size as the sole determinant of research quality. → Die Qualität einer Studie hängt von mehreren Faktoren ab, einschließlich der <strong>Stichprobengröße</strong>, der Methodik und der Analyse.

    While important, <strong>Stichprobengröße</strong> is just one aspect. Research quality also depends on sampling methods, data collection, analysis techniques, and theoretical framework.

Tips

Mastering the 'ch' and 'ö'

The 'ch' in 'Stich' and 'Größe' is a soft guttural sound, not like the 'ch' in 'church'. Practice by saying 'ich' and 'ach'. The 'ö' in 'Größe' is a rounded vowel, like saying 'ee' with your lips rounded into an 'o' shape. Focus on these specific sounds to improve pronunciation.

Break Down the Compound

Deconstruct the word: 'Stichprobe' (sample) + 'Größe' (size). Visualize a needle (Stich) taking a sample (Probe) and measuring its size (Größe). This visual cue can help recall the meaning and components.

Feminine Noun

Note that 'Stichprobengröße' is a feminine noun ('die Stichprobengröße'). This is important for correct article and adjective agreement in German sentences. Pay attention to its case usage, especially with prepositions like 'durch' (accusative) or 'mit' (dative).

Connect to Related Concepts

To fully grasp Stichprobengröße, familiarize yourself with related statistical concepts like 'Grundgesamtheit' (population), 'statistische Power', 'Signifikanzniveau', and 'Konfidenzintervall'. Understanding these will provide a richer context for its importance.

Sentence Construction

Actively try to construct sentences using Stichprobengröße in different grammatical cases and contexts. For example, write sentences explaining why a certain Stichprobengröße was chosen for a hypothetical study.

Seek Out Academic Texts

Read academic papers, theses, or statistical textbooks in German. This will expose you to authentic usage of Stichprobengröße and its surrounding vocabulary, helping you understand its nuances in real-world contexts.

Know Your Synonyms

Be aware of the synonym 'Stichprobenumfang'. While both are correct and widely used, consistency within a single document is advisable. Understanding this synonym broadens your comprehension of academic texts.

Think About Real-World Impact

Consider how different Stichprobengrößen might affect the outcome of studies you encounter in the news or in your field of interest. This application helps solidify the concept's practical significance.

Avoid Generalizations

When discussing research, avoid generalizing from small samples. The Stichprobengröße is a key factor in determining whether generalizations are statistically sound. Always be mindful of this limitation.

Memorize It

Mnemonic

Imagine a tiny 'Stich' (stitch) being made on a large 'Probe' (sample) of fabric. The 'Größe' (size) of this stitch, relative to the whole fabric, is what matters. Or, think of a magnifying glass ('Stich' can relate to puncturing or examining closely) looking at a 'Probe' (sample) to measure its 'Größe' (size).

Visual Association

Picture a scientist meticulously counting small figures (representing sample elements) on a chart. The chart itself is labeled 'Stichprobe' (sample), and the number of figures is the 'Größe' (size). Alternatively, visualize a large pie chart (population) with a smaller slice clearly marked with a number (sample size).

Word Web

Stichprobe (sample) Größe (size) Statistik Forschung Methodik Teilnehmer Daten Ergebnisse Zuverlässigkeit Validität Menge Anzahl Umfang

Challenge

Try to explain the importance of Stichprobengröße to someone who knows nothing about statistics, using simple analogies. Focus on why a sample size too small or too large can be problematic.

Word Origin

The word 'Stichprobengröße' is a German compound noun formed from two existing German words: 'Stichprobe' and 'Größe'. 'Stichprobe' itself is derived from 'stechen' (to prick, to sample) and 'Probe' (test, sample). 'Größe' means 'size' or 'magnitude'. The term emerged with the development of statistical methods and research methodologies in the late 19th and early 20th centuries.

Original meaning: Literally 'sample size'. The term was coined to precisely denote the numerical count of elements within a sample selected for statistical analysis.

Germanic

Cultural Context

The term itself is neutral. However, discussions about research findings can sometimes touch upon sensitive topics where the representativeness of the sample (and thus its size) becomes crucial for avoiding misinterpretations or perpetuating biases.

In English-speaking academic contexts, the term is 'sample size'. The underlying concept and its importance are identical. Both German and English academic communities place significant emphasis on this aspect of research methodology.

The work of the German statistician Georg Helmuth von Wright, who contributed significantly to the theory of statistical inference and sampling. The development of statistical software like SPSS or R, which are widely used in German universities and require understanding of terms like 'Stichprobengröße'. Key German textbooks on research methodology and statistics that dedicate extensive chapters to sampling techniques and sample size determination.

Practice in Real Life

Real-World Contexts

Designing a scientific study or experiment.

  • die Stichprobengröße bestimmen
  • eine repräsentative Stichprobengröße
  • die Stichprobengröße berechnen

Discussing research methodology in academic papers or lectures.

  • eine ausreichende Stichprobengröße
  • die Stichprobengröße beeinflusst die Ergebnisse
  • die Stichprobengröße rechtfertigen

Interpreting statistical results and limitations of a study.

  • eine kleine Stichprobengröße
  • die Stichprobengröße berücksichtigen
  • die Stichprobengröße ist entscheidend

Market research and opinion polling.

  • eine Stichprobengröße von X
  • die Stichprobengröße festlegen
  • die Stichprobengröße aufstocken

Academic debates on research validity and reliability.

  • die optimale Stichprobengröße
  • die Stichprobengröße steht und fällt mit...
  • eine adäquate Stichprobengröße

Conversation Starters

"What factors do you consider most important when determining the Stichprobengröße for a new research project?"

"How does the Stichprobengröße of a study impact your confidence in its findings?"

"Can you explain a situation where a small Stichprobengröße might be acceptable or even preferable?"

"What are the potential consequences of an inappropriately small or large Stichprobengröße?"

"How do advancements in technology or statistics affect how we approach calculating the Stichprobengröße today?"

Journal Prompts

Reflect on a time you encountered research where the <strong>Stichprobengröße</strong> seemed questionable. What were your thoughts and concerns?

Imagine you are designing a study for a topic you are passionate about. How would you go about determining the ideal <strong>Stichprobengröße</strong>, and what challenges might you face?

Write a short explanation of why <strong>Stichprobengröße</strong> is important for scientific research, as if you were explaining it to someone with no background in statistics.

Consider the ethical implications of choosing a <strong>Stichprobengröße</strong>. Are there situations where a larger sample size is ethically mandated or problematic?

Compare and contrast the terms <strong>Stichprobengröße</strong> and Stichprobenumfang. Are they truly interchangeable in all contexts?

Frequently Asked Questions

10 questions

The 'Stichprobe' is the actual group of individuals or items selected from a larger population for a study. The 'Stichprobengröße' is the number of these individuals or items. For example, if you survey 100 students from a university, the 100 students are the 'Stichprobe', and the number 100 is the 'Stichprobengröße'.

The Stichprobengröße is typically determined through statistical calculations based on factors like the desired level of confidence, the acceptable margin of error, the variability within the population, and the statistical power required for the study. Specialized software or formulas are often used for this purpose.

An adequate Stichprobengröße is crucial because it directly affects the reliability and validity of research findings. A sample that is too small may not be representative of the population, leading to inaccurate conclusions and low statistical power. An unnecessarily large sample can be inefficient and costly. Therefore, the right Stichprobengröße ensures that the results are statistically significant and can be generalized to the larger population.

No, 'Stichprobengröße' is a technical term used in academic and research contexts. In everyday conversation, people would use simpler terms like 'Anzahl der Leute' (number of people) or 'wie viele Leute' (how many people), and would not typically discuss statistical sampling size.

Yes, common mistakes include confusing it with 'Stichprobe' (the sample itself), using it in informal contexts where it sounds out of place, or incorrectly assuming it's the only factor determining a study's quality. Also, ensuring the correct grammatical gender ('die Stichprobengröße') and case is important.

There is essentially no difference in meaning or usage. Both 'Stichprobengröße' and 'Stichprobenumfang' are standard and interchangeable technical terms for 'sample size' in German academic and statistical contexts.

If the Stichprobengröße is too small, the study may lack statistical power, meaning it might fail to detect a real effect or difference that exists in the population. The results may not be representative of the population, leading to unreliable conclusions and a higher risk of Type II errors (false negatives).

'Grundgesamtheit' (population) is the larger group you want to study. The Stichprobengröße is the number of individuals or items you select from this population to form your sample. The goal is for the sample size to be large enough and representative enough to make valid inferences about the entire Grundgesamtheit.

Certainly: 'Die statistische Signifikanz der Ergebnisse hängt maßgeblich von der Stichprobengröße ab.' (The statistical significance of the results depends significantly on the sample size.)

Yes, Stichprobengröße refers to a specific numerical quantity – the count of elements in the sample. However, the *determination* of that number might involve ranges or minimum requirements based on statistical calculations.

Sign up free for tips & notes

Test Yourself 10 questions

/ 10 correct

Perfect score!

Sign up free to practice

Related Content

Was this helpful?

Comments (0)

Login to Comment
No comments yet. Be the first to share your thoughts!