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Last updated on 2024年6月5日

What strategies can you use to ensure a representative sample?

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Ensuring a representative sample is crucial in business strategy to make informed decisions that reflect the target population. A representative sample mirrors the diverse characteristics of the whole group, which is essential for accurate analysis and strategy formulation. It's not just about numbers; it's about capturing the essence of your demographic, so your insights and strategies are truly reflective of your market. This article will guide you through strategies that can help achieve a representative sample, ensuring your business decisions are based on solid, inclusive data.

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Ricardo Lucano Benites

Big Data Analyst l Supply Chain Management

1 Random Sampling

Random sampling is a foundational method where every individual in the entire population has an equal chance of being selected. This technique reduces biases that can skew the results. Imagine you're drawing names from a hat; each name has the same likelihood of being picked. By applying this strategy, your sample can better mirror the population, leading to more reliable and generalizable findings that can inform your business strategy effectively.

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Ricardo Lucano Benites

Big Data Analyst l Supply Chain Management
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Para un muestreo aleatorio primero tengo que estratificar dividiendo mi población en subgrupos. - Luego selecciona aleatoriamente muestras de cada estrato para garantizar que los subgrupos estén representados. - En mi caso me ha resultado util aplicar filtros para encontrar perfiles que coinciden con la industria, supply chain & logística, análisis de datos entre otros y tener la lista de perfiles y poner estar en contacto e intercambiar conocimientos y aumentar mi red de contactos.

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2 Stratified Sampling

Stratified sampling involves dividing the population into subgroups, or strata, based on shared characteristics, and then randomly selecting samples from each subgroup. Think of it as creating a mini-representation within each category. This ensures that all significant segments of the population are included in your sample, which is particularly useful when certain traits may influence the outcome of your research or when you're dealing with a heterogeneous population.

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Ricardo Lucano Benites

Big Data Analyst l Supply Chain Management
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La estratificación me permite dividir la población en subgrupos basados en características claves. -Ejemplo que aplico industria, nivel académico, experiencia, ubicación, entre otros. - El aplicar los filtros me permite encontrar perfiles que coincidan con los criterios seleccionados y encontrar una comunidad de gran valor en los temas que también conozco y que sigo aprendiendo y compartiendo cada vez mejor.

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3 Quota Sampling

Quota sampling is where you select a sample that reflects the proportions of different groups within the population. You set quotas to ensure that the sample includes the correct number of individuals from each segment. It's like filling up seats in a theater with an equal number from each row; you're aiming for a miniature version of your audience. This method can be more practical than random sampling when you have limited resources but still want to maintain representativeness.

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Ricardo Lucano Benites

Big Data Analyst l Supply Chain Management
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Es una técnica que nos permite segmentar la población y determinar una cuota para cada subgrupo. - Para implementar el muestreo por cuotas me ha resultado util lo siguiente: 1. Definir la población objetivo . Industria: manufactura . Roles laborales: ING. Industrial . Educación: Con diplomados, MBA, en supply chain, logística, BigData, business intelligence . Ubicación con énfasis en regiones de interés 2 Identificar subgrupos Clave: . Tama?o de empresa: Peque?a, mediana y grande . Nivel de experiencia: Junior, sénior, jefatura . Ubicación geográfica: Norteamérica, América Latina, Asía, Europa Por ejemplo, deseo una muestra de 200 perdonas Al dividir el tama?o de la empresa 80 para grandes, 70 para medianas y 50 para peque?as

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4 Convenience Sampling

Convenience sampling involves choosing individuals who are easily accessible and willing to participate. This method is not ideal for representativeness but can be useful in exploratory research phases or when other methods are not feasible. Think of it as a quick temperature check with those around you, rather than a comprehensive health exam. It's quick and easy but use it with caution, as it may introduce significant biases.

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5 Snowball Sampling

Snowball sampling is particularly effective when dealing with hard-to-reach or specialized populations. You start with a small group of participants and ask them to refer others they know within the target population. It's like creating a snowball that grows larger as it rolls downhill, gathering more participants along the way. This method helps in reaching individuals who might otherwise be overlooked or unwilling to participate in traditional sampling methods.

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6 Voluntary Response

Voluntary response sampling relies on participants' willingness to take part in the study. This method is often used in online surveys or polls where individuals self-select to participate. Imagine an open invitation to a meeting; you'll only see those who are interested enough to show up. While this can lead to a biased sample because it doesn't accurately represent the entire population, it can still provide valuable insights, especially in gauging the opinions of the most engaged or concerned members of a group.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What strategies can you use to ensure a representative sample?

1

2

3

4

5

6

7

1 Random Sampling

2 Stratified Sampling

3 Quota Sampling

4 Convenience Sampling

5 Snowball Sampling

6 Voluntary Response

7 Here’s what else to consider

Business Strategy

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What strategies can you use to ensure a representative sample?

1

2

3

4

5

6

7

1 Random Sampling

2 Stratified Sampling

3 Quota Sampling

4 Convenience Sampling

5 Snowball Sampling

6 Voluntary Response

7 Here’s what else to consider

Business Strategy

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