Ravni merjenja : številne posledice preproste ideje

Bren, Matevž

| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

First page > Show document

Show document

Title:	Ravni merjenja : številne posledice preproste ideje
Authors:	ID Bren, Matevž (Author)
Files:	https://www.fvv.um.si/rv/arhiv/2014-3/09_Bren.pdf https://www.fvv.um.si/rv/arhiv/2014-3/09_Bren.html RAZ_Bren_Matevz_2014.pdf (451,11 KB) MD5: 0E64A1F95C03632CA614FFFD8E11A159 PID: 20.500.12556/dkum/765b3c5e-25a6-4a06-b504-34049f646a8a
Language:	Slovenian
Work type:	Professional work
Typology:	1.04 - Professional Article
Organization:	FVV - Faculty of Criminal Justice and Security
Abstract:	Namen prispevka: Podati temeljit opis ravni merjenja, osnovnega pa vseeno zahtevnega pojma v teoriji merjenja. Raven merjenja spremenljivke ima daljnosežne posledice, tj. glede na zastavljeno raziskovalno vprašanje in preverjano domnevo, izbiro ravni merjenja ustreznih statističnih kazalcev, metod ali preizkusov domnev. Metode: Princip ravni merjenja je opisan in razložen s primeri iz vsakdanjega življenja, iz učbenikov statistike oz. metod raziskovanja ter iz varstvoslovne prakse. Podan je primer izračuna mer srednje vrednosti, ki ustrezajo ravni merjenja spremenljivk, predstavljeni so statistični testi preverjanja domnev o povezanosti pojavov, ki ustrezajo ravni merjenja uporabljenih spremenljivk. Ugotovitve: Težave študentov, pa tudi raziskovalcev pri razumevanju in uporabi zamisli ravni merjenja so razumljive, saj je zamisel dovolj zapletena, pa vseeno osnovna, tako da jo nekateri učbeniki predstavijo mimogrede in bralca ne opozorijo na daljnosežne posledice – raven merjenja spremenljivk določa ustrezne metode analize podatkov ter preizkusov domnev. Izvirnost/pomembnost prispevka: Predstavitev in razlaga ravni merjenja je namenjena študentom in raziskovalcem, da bi že pri zbiranju podatkov upoštevali in načrtovali ustrezne ravni merjenja spremenljivk in s tem preizkuse domnev ter odgovore na zastavljena raziskovalna vprašanja. Podan je načelni napotek, da naj raziskovalec spremenljivke meri na čim višji ravni (saj je v kasnejši analizi korak na nižjo raven merjenja vedno mogoč), da pa mora na drugi strani upoštevati tudi načelo ekonomičnosti, tj. ne zbirati podatkov na višji ravni, če jih za analize ne potrebuje.
Keywords:	ravni merjenja, merska lestvica, mere srednje vrednosti, mere razpršenosti, statistični testi povezanosti
Publication status:	Published
Publication version:	Version of Record
Year of publishing:	2014
Number of pages:	str. 362-373
Numbering:	Letn. 16, št. 3
PID:	20.500.12556/DKUM-76228
UDC:	311.1
ISSN on article:	1580-0253
COBISS.SI-ID:	2878954
NUK URN:	URN:SI:UM:DK:RDLYKWTV
Publication date in DKUM:	29.04.2020
Views:	2295
Downloads:	143
Metadata:
Categories:	Misc.
:	Copy citation

Average score:	(0 votes)
Your score:	Voting is allowed only for logged in users.
Share:

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:	Varstvoslovje
Shortened title:	Varstvoslovje
Publisher:	Ministrstvo za notranje zadeve Republike Slovenije, Visoka policijsko-varnostna šola, Ministrstvo za notranje zadeve Republike Slovenije, Visoka policijsko-varnostna šola, Univerza v Mariboru, Fakulteta za policijsko-varnostne vede, Univerza v Mariboru, Fakulteta za varnostne vede
ISSN:	1580-0253
COBISS.SI-ID:	99492352

Licences

License:	CC BY 4.0, Creative Commons Attribution 4.0 International

Link:	http://creativecommons.org/licenses/by/4.0/
Description:	This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:	29.04.2020

Secondary language

Language:	English
Title:	Measurement levels : Numerous Consequences of a Basic Idea
Abstract:	Purpose: In the article, a comprehensive description of measurement levels, a basic yet complex principle of measurement theory, is given. A variable’s measurement level has far-reaching consequences as regards a particular research question and a derived hypothesis, as well as for selection of an adequate statistical indices, methods, or tests. Design/Methods/Approach: The measurement levels’ principle is described and explained in terms of everyday examples and examples from statistics textbooks and criminal justice practice. It is illustrated through an example of a central tendency indices’ calculation, where all applied indices are in line with the variables’ level of measurement. For testing the hypothesis on association, adequate statistical tests which are in concordance with the level of measurement of variables involved are presented. Findings: The measurement levels present a basic yet complex principle; therefore, students‘/researchers’ difficulties are understandable. In some statistics’ text books, this principle is overlooked or described in brief without due emphasis on its far-reaching consequences: the applied statistical indices, methods, and tests must be in line with a variable’s level of measurement. Originality/Value: Presenting and explaining the measurement levels will help students and researchers to incorporate variables on the adequate level of measurement in their research planning, so that they will be able to properly test the hypothesis and thereby find the answers to their research questions. A general instruction is given that variables should be measured at the highest level possible (for the analysis, a step down to a lower level is always possible), but on the other side, the parsimony principle demands that the data collection not be performed at a higher level than the one needed for the data analyses.

Collection

This document is a part of these collections:

Varstvoslovje

Comments

Leave comment

You must log in to leave a comment.

Comments (0)

0 - 0 / 0

There are no comments!

Back