science

Polish Panel Survey

Polish Panel Survey is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Polish Panel Survey rather than just read about it. In short: The Polish Panel Survey (POLPAN, Polskie Badanie Panelowe) is a program of panel surveys of the population of Poland carried out by the Research Team on Comparative Social Inequality at the Institute of Philosophy and Sociology of the Polish Academy of Sciences. The study started in 1988 and is repeated in five-year intervals.

Key takeaways

Polish Panel Survey belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Polish Panel Survey to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Polish Panel Survey from memory before moving on to harder problems.

Reference excerpt

The Polish Panel Survey (POLPAN, Polskie Badanie Panelowe) is a program of panel surveys of the population of Poland carried out by the Research Team on Comparative Social Inequality at the Institute of Philosophy and Sociology of the Polish Academy of Sciences. The study started in 1988 and is repeated in five-year intervals. The focus of the Polish Panel Survey is to describe Poland's social structure and its change. POLPAN data and documentation from the waves 1988, 1993, 1998, and 2003 are available for download at GESIS – Leibniz Institute for the Social Sciences and from the Polish Social Data Archive. The latter archive also contains 2008 POLPAN wave data and documentation.

Methodology and scope Initially, in 1988, the survey was conducted among a national sample representing Poland’s adult population (aged 21–65), with N = 5,817 respondents. In 1993, this sample was randomly reduced to 2,500 individuals, whom researchers tried to reach in each of the consecutive five-year waves. To ensure an adequate age balance, additional subsamples involving young cohorts have been supplemented later. For example, the 2008 sample comprised 1,825 respondents of whom 1,244 belong to the strict panel, and 581 are newly added individuals aged 21–25 years. In 2013 an attempt was made to contact all respondents (7,261) who had ever participated in the study, which resulted in achieving a sample of 2,780. The 2018 sample comprises 2,161 respondents. Data collection is carried out through questionnaire interviews by the Centre of Sociological Research at IFiS PAN. The survey collects the following information:

Employment (employment, self-employment, irregular employment and additional jobs, unemployment and housework); Occupational history Social, economic and political opinions and attitudes (chances of success and sources of conflicts, opinions about income, opinions about society, about privatization and the market, status evaluation and views on social issues); Friends and acquaintances; Family and household; Physical and psychological health; Religion; Intelligence (Raven's Test); Computer and Internet; Demographics.

See also Socio-Economic Panel (SOEP) British Household Panel Survey (BHPS) Household, Income and Labour Dynamics in Australia Survey (HILDA) Panel Study of Income Dynamics (PSID) LISS panel (LISS) Survey on Household Income and Wealth (SHIW)

Notes

Selected bibliography of POLPAN:

Slomczynski, Kazimierz M.; Tomescu-Dubrow, Irina, eds. (2016). "Analyzing Social Change: The Polish Panel Survey, POLPAN 1988-2013. An issue devoted to the Polish Panel Survey, POLPAN". International Journal of Sociology. 46 (4). ISSN 0020-7659. Filipkowski, Piotr; Życzyńska-Ciołek, Danuta (2016). "Od kwestionariuszowego badania próby losowej do pogłębionej analizy życiowych przypadków – i z powrotem. Dwa wywiady biograficzne i kilka refleksji teoretycznych [From quantitative research based on a random sample to in-depth analysis of life experiences – and back. Two biographical interviews and a few theoretical reflections]". Studia Socjologiczne. 3 (222): 229–254. ISSN 0039-3371. Kunovich, Robert M.; Kunovich, Sheri L. (2016). "The Gender Gap in Political Knowledge in Poland". Polish Sociological Review. 1 (193): 33–49. ISSN 1231-1413. Kołczyńska, Marta; Merry, Joseph J. (2016). "Preferred Levels of Income Inequality in a Period of Systemic Change: Analysis of Data from the Polish Panel Survey, POLPAN 1988-2003". Polish Sociological Review. 2 (194): 171–189. ISSN 1231-1413. Słomczyński, Kazimierz M.; Tomescu-Dubrow, Irina; Dubrow, Joshua K. (2015). "Changes in Social Structure, Class, and Stratification: The Polish Panel Survey (POLPAN)" (PDF). ASK: Research & Methods. 24 (1): 19–37. ISSN 1234-9224. Kiersztyn, Anna (2015). "Solidarity Lost? Low Pay Persistence During the Post-Communist Transition in Poland". Polish Sociological Review. 4 (192): 493–509. ISSN 1231-1413. Baczko-Dombi, Anna; Wysmułek, Ilona (2015). "Determinants of Success in Public Opinion in Poland: Factors, Directions and Dynamics of Change". Polish Sociological Review. 3 (191): 277–293. ISSN 1231-1413. Tomescu-Dubrow, Irina (2015). "International Experience and Labour Market Success: Analysing Panel Data from Poland". Polish Sociological Review. 3 (191): 259–276. ISSN 1231-1413. Kryszczuk, Maciej D.; Green, Brian E. (2015). "Digital Divide in Poland: An Exploration of Some Sociological Impacts of Personal Computer Possession, Internet Use and PC Proficiency". Management and Business Administration. Central Europe. 23 (3): 2–18. doi:10.7206/mba.ce.2084-3356.147. ISSN 2450-7814. Janicka, Krystyna; Slomczynski, Kazimierz M. (2014). "Struktura spoleczna w Polsce: klasowy wymiar nierownosci [Social Structure in Poland: Class Dimension of Social Inequality]". Przegląd Socjologiczny. 63 (2): 55–72. ISSN 0033-2356. Kunovich, Robert M. (2013). "Political Knowledge in Poland". Communist and Post-Communist Studies. 46 (1): 65–78. doi:10.1016/j.postcomstud.2012.12.005. ISSN 0033-2356. Rossi, Maurizio; Scappini, Ettore (2013). "Possiamo ancora dirci cristiani? La volatilità della partecipazione individuale alla messa [Can we still call ourselves Christian? The inconsistency of individual Church attendance]". Polis. 27 (3): 363–394. ISSN 1120-9488. Kiersztyn, Anna (2013). "Stuck in a mismatch? The Persistence of Overeducation During Twenty Years of the Post-Communist Transition in Poland". Economics of Education Review. 32 (1): 78–91. doi:10.1016/j.econedurev.2012.09.009. ISSN 0272-7757. Slomczynski, Kazimierz M.; Tomescu-Dubrow, Irina, eds. (2013). "Sociodemographic Differentiation in a Dynamic Perspective: The Polish Panel Survey, POLPAN 1988–2008. An issue devoted to the Polish Panel Survey, POLPAN". International Journal of Sociology. 42 (4). ISSN 0020-7659. Slomczynski, Kazimierz M.; Tomescu-Dubrow, Irina, eds. (2012). "Changes in Social Structure, Class, and Stratification: The Polish Panel Survey (POLPAN)". International Journal of Sociology. 42 (1). ISSN 0020-7659. Books:

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Worked examples

Example 1 — a first encounter with Polish Panel Survey

Start with the simplest possible case. Write down what Polish Panel Survey claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Polish Panel Survey before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Polish Panel Survey ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Polish Panel Survey

In research: Polish Panel Survey appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Polish Panel Survey in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Polish Panel Survey is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cohort studies, Panel data, Research institutes in Poland, so understanding it makes those chapters shorter.
In everyday life: Look for Polish Panel Survey outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Polish Panel Survey in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Polish Panel Survey means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
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Frequently asked questions

What is Polish Panel Survey in simple terms?

Why does Polish Panel Survey matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Polish Panel Survey?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Polish Panel Survey.