On the logic and purpose of significance testing.
Abstract
There has been much recent attention given to the problems involved with the traditional approach to null hypothesis significance testing (NHST). Many have suggested that, perhaps, NHST should be abandoned altogether in favor of other bases for conclusions such as confidence intervals and effect size estimates (e.g., Schmidt, 1996). The purposes of this article are to (a) review the function that data analysis is supposed to serve in the social sciences, (b) examine the ways in which these functions are performed by NHST, (c) examine the case against NHST, and (d) evaluate interval-based estimation as an alternative to NHST.
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In many cases, researchers aim to decide whether significant results are consistent or inconsistent with directional (dividing) hypotheses.
“in many cases, researchers aim to decide whether significant results are consistent or inconsistent with directional (dividing) hypotheses”
From Does preregistration improve the credibility of research findings? (2020) · cites this paper as Cortina & Dunlap, 1997, p. 168
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“In the psychological literature, the pros and cons of NHST have been, and continue to be, hotly debated (see, e.g., Cohen, 1994; Cortina & Dunlap, 1997; Cum-ming, 2007; Dixon, 2003; Frick, 1996; Gigerenzer, 1993, 1998; Hagen, 1997; Killeen, 2005a, 2006; M. D. Lee & Wagenmakers, 2005; Loftus, 1996,…”
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“Researchers rely heavily on p-values to decide about the importance of the evidence obtained in experimental and non-experimental designs (Cortina & Dunlap, 1997).”
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“…The Netherlands e-mail: r.hoekstra@rug.nl J. N. Rouder University of Missouri, Columbia, MO, USA defended its usability (e.g., Abelson, 1997; Chow, 1998; Cortina & Dunlap, 1997; Winch & Campbell, 1969), there seems to be widespread agreement that the results from NHST are often misinterpreted.”
BackgroundOn doing better science: From thrill of discovery to policy implications
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“There is nothing wrong with hypothesis testing and p-values per se as long as authors, reviewers, and action editors use them correctly (Abelson, 1997; Bettis, et al., 2016; Cortina & Dunlap, 1997; García-Pérez, 2016; Murtaugh, 2014).”
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“Furthermore, blindly interpreting confidence intervals only against the standard of whether zero point is included is nothing more than rejecting or not rejecting on the basis of p-value (Cortina & Dunlap, 1997; Thompson, 1999a, 2008).”
BackgroundPersonality in teams: Its relationship to social cohesion, task cohesion, and team performance
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“Schmidt (1996) showed that the possibility of a type II error easily exceeds .40 (see also, Hunter, 1997; for discussions, see Abelson, 1997; Cortina & Dunlap, 1997; Estes, 1997).”
BackgroundFinal Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian
Hurlbert, S. H., & Lombardi, C. M. (2009) · Annales Zoologici Fennici · doi:10.5735/086.046.0501 · Cited by 277 · see citing works
“…H 1 as with H 0 and is grounds only for indecision or suspension of judgment with respect to the truth of H 0 (Fisher 1925, Tukey 1960, 1991, Kalbfleisch & Sprott 1976, Oakes 1986: 31, Abelson 1995, Cortina & Dunlap 1997, Harris 1997a, 1997b, Nickerson 2000, Tryon 2001, Lombardi & Hurlbert 2009).”
BackgroundMethodological Wishes for the Next Decade and How to Make Wishes Come True
Aguinis, H., & Edwards, J. R. (2013) · Journal of Management Studies · doi:10.1111/joms.12058 · Cited by 264 · see citing works
“Although this approach provides more information than null hypothesis significance tests, studies that report confidence intervals often focus on whether they exclude zero, which is logically equivalent to null hypothesis significance testing itself (Cortina and Dunlap, 1997).”
BackgroundStatistical Inference with PLSC Using Bootstrap Confidence Intervals1
Aguirre-Urreta, M. I., & Rönkkö, M. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13587 · Cited by 304 · see citing works
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“To illustrate this, even those who see value in statistical significance testing (e.g., Abelson, 1997; Chow, 1996, 1998; Cortina & Dunlap, 1997; Hagen, 1997; and Mulaik, Raju, & Harshman, 1997) simply never bring up, much less defend, the issue of the adequacy of the p value as a measure of…”
BackgroundSignificance, Effect Sizes, Stepwise Methods, and Other Issues: Strong Arguments Move the Field
Thompson, B. (2001) · The Journal of Experimental Education · doi:10.1080/00220970109599499 · Cited by 241 · see citing works
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BackgroundBatterer intervention programmes: A meta-analytic review of effectiveness
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“The trade-off between precision and accuracy and the question of which to prioritize echoes an ongoing discussion in the field about alternative goals in conducting research (e.g., Abelson, 1985; Cohen, 1990, 1994; Cortina & Dunlap, 1997; Prentice & Miller, 1992; Schmidt, 1996).”
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“However, the Shapiro-Wilk test is highly sensitive to large sample sizes and may reject the null hypotheses of normal distribution even if the departures from normality are trivial (Cortina & Dunlap, 1997).”
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“Schmidt (1996) shows that the possibility of a Type II error easily exceeds .40 and, therefore, strongly advises against the use of statistical significance in interpreting research findings (see also, Hunter, 1997; for discussions, see Abelson, 1997; Cortina & Dunlap, 1997; Estes, 1997).”
BackgroundAlpha's standard error (ASE): an accurate and precise confidence interval estimate.
Duhachek, A., & Iacobucci, D. (2004) · Journal of Applied Psychology · doi:10.1037/0021-9010.89.5.792 · Cited by 176 · see citing works
“Given that the information contained in a hypothesis test is comparable to that in a confidence interval (cf. Cortina & Dunlap, 1997), we choose the latter, computing the 95% confidence interval as: 4 ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ ± n Q ) 96 .”
Apples and oranges (and pears, oh my!): the search for moderators in meta-analysis
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“The probabilistic nature of these statements can cause problems, but this is not especially likely (Cortina & Dunlap, 1997).”
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“The fact that the typical reasoning from Fisher’s disjunction is logically invalid is well-known (e.g., Beck–Bornholdt & Dubben, 1996; Cohen, 1994; Cortina & Dunlap, 1997; Falk & Greenbaum, 1995; Falk, 1998; Pollard & Richardson, 1987; Krämer & Gigerenzer, 2005; Rouder, Morey, Verhagen, Province,…”
Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing
Perezgonzalez, J. D. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00223 · Cited by 163 · see citing works
“For Fisher, a good control of the research design (Cortina and Dunlap, 1997; Fisher, 1955; Johnstone, 1987), especially random allocation, is paramount to make sensible inferences based on the results of tests of significance (Fisher, 1954; Neyman, 1967).”
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Inductive reasoning: The promise of big data
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“…some researchers have argued that p values can provide an interesting answer to a statistical question whenever researchers want to make an ordinal claim about the direction of an effect (Abelson, 1997b; Chow, 1988; Cortina & Dunlap, 1997; Hagen, 1997; Haig, 2017; Miller, 2017; Nickerson, 2000).”
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BackgroundWhen is it Acceptable to Accept a Null Hypothesis: No Way, Jose?
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“An example of missing the bigger contribution is provided by my own study of the effects of trade on market orientation (Ellis, 2007). In Table 4 of that study I compared the market orientation of two groups of firms. As predicted, the 74 firms that were highly dependent on distant markets were found to have lower mar…”
BackgroundProbability as certainty: Dichotomous thinking and the misuse ofp values
Hoekstra, R., Finch, S., Kiers, H., & Johnson, A. M. (2006) · Psychonomic Bulletin & Review · doi:10.3758/bf03213921 · Cited by 113 · see citing works
“…has its defenders (e.g., Mulaik, Raju & Harshman, 1997), it has for decades been heavily criticized (e.g., Bakan, 1966; Batanero, 2000; Cohen, 1994; Cortina & Dunlap, 1997; Falk & Greenbaum, 1995; Harlow, Mulaik & Steiger, 1997; Lecoutre, Poitevineau & Lecoutre, 2003; Rozeboom, 1960; Schmidt,…”
Schneider, J. (2014) · Scientometrics · doi:10.1007/s11192-014-1251-5 · Cited by 111 · see citing works
Book Review: Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research
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Big Things Have Small Beginnings: An Assortment of “Minor” Methodological Misunderstandings
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“Many of the papers that I have managed to get published, including those that have been well-cited, had to overcome serious reviewer misgivings about contribution (e.g.,Cortina, 1993a, 1993b; Cortina & Deshon, 1998; Cortina & Dunlap, 1997; Cortina & Folger, 1998).”
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Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
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“Although there are thoughtful supporters of null hypothesis testing (e.g., Abelson, 1997; Cortina & Dunlap, 1997; Frick, 1996; Robinson & Wainer, in press), researchers increasingly recognize the limitations of the statistical method Rozeboom (1997) described as “the most bone-headed misguided…”
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Orlitzky, M. (2011) · Organizational Research Methods · doi:10.1177/1094428111428356 · Cited by 69 · see citing works
“Second, because confidence intervals can be interpreted as equivalent to NHST (Bedeian, Sturman, & Streiner, 2009; Cortina & Dunlap, 1997), it is unclear how NHST passes Abelson’s (1997) cognitive hurdle, but confidence intervals do not.”
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Ledesma, R., Macbeth, G., & de Kohan, N. C. (2008) · Dialnet (Universidad de la Rioja) · doi:10.14349/rlp.v40i3.358 · Cited by 65 · see citing works
“De esta manera, el TE ha sido entendido como un complemento necesario para el análisis de los datos empíricos en la prueba de hipótesis tradicional (Cortina & Dunlap, 1997).”
BackgroundStatistical Significance Tests, Effect Size Reporting and the Vain Pursuit of Pseudo-Objectivity
Thompson, B. (1999) · Theory & Psychology · doi:10.1177/095935439992007 · Cited by 63 · see citing works
“Frick (1996) and Cortina and Dunlap (1997) have been among the more reflective defenders of contemporary statistical testing practices (see Thompson, 1998).”
BackgroundDoes preregistration improve the credibility of research findings?
Rubin, M. (2020) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.16.4.p376 · Cited by 61 · see citing works
“However, in many cases, researchers aim to decide whether significant results are consistent or inconsistent with directional (dividing) hypotheses (e.g., Cortina & Dunlap, 1997, p. 168; Cox, 1977, p. 51-52; Tukey, 1991, p. 100).”
BackgroundThe Earth Is Not Round (p = .00)
Cortina, J. M., & Landis, R. S. (2011) · Organizational Research Methods · doi:10.1177/1094428110391542 · Cited by 62 · see citing works
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“Still others (e.g., Cortina & Dunlap, 1997; Frick, 1996) have argued that there is little or nothing wrong with contemporary analytic practices, though some of these arguments have themselves been seen to be flawed (e.g., Hagen, 1997; Thompson, 1998).”
BackgroundIn praise of Table 1: The importance of making better use of descriptive statistics
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“…is an extensive literature dealing with conceptual and statistical arguments against overreliance on tests of statistical significance (See, for example, Cohen, 1994; Cortina & Dunlap, 1997; Meehl, 1978; Murphy et al., 2014; Schmidt, 1996), and there are many points of controversy in this debate.”
BackgroundIs the call to abandon p-values the red herring of the replicability crisis?
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“Defenses have also appeared in the field’s leading peer-reviewed journals, including American Psychologist (Krueger, 2001, with commentaries) and APA’s quantitative psychology journal Psychological Methods (Frick, 1996; Cortina and Dunlap, 1997; Nickerson, 2000).”
BackgroundInfluentialStatistical Significance with Comments by Editors of Marketing Journals
Hubbard, R., & Ryan, P. A. (2000) · Educational and Psychological Measurement · doi:10.1177/0013164400605001 · Cited by 56 · see citing works
“Cortina and Dunlap (1997), for example, argued that SST can help speak to three interrelated requirements for empirical corroboration, namely, objectivity, exclusion of alternative hypotheses, and exclusion of alternative explanations.”
BackgroundAnalyzing matrices of meta‐analytic correlations: current practices and recommendations
Sheng, Z., Kong, W., Cortina, J. M., & Hou, S. (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1206 · Cited by 57 · see citing works
“There have always been discussions regarding how statistical significance should be interpreted in meta-analyses or more generally for studies with large sample sizes (Cortina and Dunlap, 1997; Cortina and Landis, 2011).”
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Thompson, B., & Snyder, P. (1997) · The Journal of Experimental Education · doi:10.1080/00220979709601396 · Cited by 49 · see citing works
Epistemological and Ethical Aspects of Research in the Social Sciences
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Past and Future American Psychological Association Guidelines for Statistical Practice
Finch, S., Thomason, N., & Cumming, G. (2002) · Theory & Psychology · doi:10.1177/0959354302126005 · Cited by 44 · see citing works
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Expanding Statistical Frontiers in Sexual Science: Taxometric, Invariance, and Equivalence Testing
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“…practice that is both logically and practically fallacious, and yet persistent and pernicious in its commonality (for discussions, see Cohen, 1994; Cortina & Dunlap, 1997; Cumming, 2014; Kline, 2004; Meehl, 1990b); p values are the conditional probability of observing a particular test statistic…”
Significance testing as perverse probabilistic reasoning
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“The technical definition that we will use differs in important ways informal definitions more familiar to physicians, and the difference turns out to be consequential, as witnessed by the existence of a large critical literature dealing with practical and philosophical problems arising from definitions in common use […”
BackgroundIf It Were Only That Easy: The Use of Meta-Analytic Research by Organizational Scholars
DeSimone, J. A., Köhler, T., & Schoen, J. L. B. (2018) · Organizational Research Methods · doi:10.1177/1094428118756743 · Cited by 33 · see citing works
“The contention that the null hypothesis is always false is a common argument against significance testing (Nickerson, 2000; see also Cortina & Dunlap, 1997).”
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“Consequently, it does not warrant a unionintersection test of the joint null hypothesis of ‘no positive or negative correlation’ (Cortina and Dunlap [1997], p.”
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A Probability Index of the Robustness of a Causal Inference
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“…can be agreed upon for making such a decision, and that the conservative stance of an unknown relationship being nil accurately represents resistance to the implementation of a new program or treatment (Abelson, 1997; Chow, 1988; Cortina & Dunlap, 1997; Frick, 1999; Harris, 1997; Wainer, 1999).”
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“Finally, although it is not advisable to over interpret the meaningfulness of significance tests for effects that are both small and based on very large samples ( Cortina and Dunlap 1997 ; E den2002), a few comments regarding the similarity of statistical inferences across meta-analyses are warranted.”
BackgroundComputing and Interpreting Effect Sizes
Hill, C. R., & Thompson, B. (2004) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-2456-8_5 · Cited by 28 · see citing works
“On the other hand, supporters of statistical significance testing (i.e., Cortina and Dunlap, 1997; Robinson and Wainer, 2002) have praised it for what it can do, and have argued that if null hypothesis significance testing (NHST) did not exist, it would have to be invented (Abelson, 1997).”
BackgroundImplications of individual differences in on-average null effects.
Miller, J. O., & Schwarz, W. (2017) · Journal of Experimental Psychology General · doi:10.1037/xge0000367 · Cited by 34 · see citing works
“…large-sample null results using terminology that is closely associated with the familiar framework of null hypothesis significance testing (NHST; for critical discussion see, e.g., Abelson, 1997; Balluerka, Gómez, & Hidalgo, 2005; Cohen, 1969; Cortina & Dunlap, 1997; Miller, 2017; Nickerson, 2000).”
BackgroundStatistical Significance, Effect Size, and Replication: What Do the Journals Say?
DeVaney, T. (2001) · The Journal of Experimental Education · doi:10.1080/00220970109599490 · Cited by 25 · see citing works
Statistical Significance Versus Effect Size
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Single-case research designs and the scientist-practitioner ideal in applied psychology.
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“Proponents argue that NHSST is useful for certain purposes and is needed for theory corroboration (Chow, 1998; Cortina & Dunlap, 1997; Frick, 1996; Mulaik, Raju, & Harshman, 1997).”
BackgroundUsing Power Analysis to Evaluate and Improve Research
Murphy, K. R. (2008) · doi:10.1002/9780470756669.ch6 · Cited by 22 · see citing works
On the Confidence Interval for the Binomial Parameter
García-Pérez, M. A. (2005) · doi:10.1007/s11135-005-0233-3 · Cited by 20
“The use of statistical inference is a subject of current debate (Frick, 1996; Cortina and Dunlap, 1997; Harlow et al., 1997; Chow, 1998; Levin, 1998; Thompson, 1998; Nickerson, 1999, 2000; Wainer, 1999; Howard et al., 2000; Markus, 2001).”
Statistically evaluating person-oriented principles revisited
Sterba, S. K., & Bauer, D. (2010) · Development and Psychopathology · doi:10.1017/s0954579410000064 · Cited by 17 · see citing works
“On this point, Cortina and Dunlap (1997) have commented “we see no point in holding NHST [null hypothesis significance testing] or any other procedure responsible for the shortcomings of the data to which they are applied” (p.”
BackgroundInfluentialWegener, D., Fabrigar, L., Pek, J., & Hoisington-Shaw, K. J. (2021) · Personality and Social Psychology Bulletin · doi:10.1177/01461672211030811 · Cited by 16 · see citing works
“When the data are extreme in either tail, the researcher characterizes the evidence as consistent with a population difference in that direction (e.g., μA > μB) because the opposite direction can be rejected along with the null (Cortina & Dunlap, 1997).”
BackgroundThe statistical theories of Fisher and of Neyman and Pearson: A methodological perspective
Hager, W. (2013) · Theory & Psychology · doi:10.1177/0959354312465483 · Cited by 16 · see citing works
“Meehl (1997, pp. 398–400) shows why this syllogism is inappropriate in appraising SuH, as it is with statistical testing (Cohen, 1994, p. 998; Cortina & Dunlap, 1997, p. 170).”
BackgroundInfluentialStatistical Hypothesis Testing: Overview and Application
Turner, D. P., Deng, H., & Houle, T. (2020) · Headache · doi:10.1111/head.13706 · Cited by 15 · see citing works
“Perhaps based on the misguided idea that the 2 approaches lead to similar conclusions (they do have considerable overlap(18)), the blending of these approaches has been stated to adhere to Fisher’s philosophy but NP’s testing procedures.(19) Perezgonzalez(20) provides an excellent tutorial on the uses of both approach…”
MethodConfidence Intervals Make a Difference
Hoekstra, R., Johnson, A. M., & Kiers, H. (2012) · Educational and Psychological Measurement · doi:10.1177/0013164412450297 · Cited by 15 · see citing works
“Whereas some (e.g., Cortina & Dunlap, 1997) have argued that replacing NHST by CIs is unlikely to improve scientific practice because both are based on the same information, we suggest that it might.”
BackgroundThe Benefits of Reporting Critical-Effect-Size Values
Perugini, A., Gambarota, F., Toffalini, E., Lakens, D., Pastore, M., Finos, L., Core Team Psicostat, & Altoè, G. (2025) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459251335298 · Cited by 12 · see citing works
Hermans, M., Borda, A. J., Newburry, W. E., Chea, C. O. C., Finchelstein, D., González-Pérez, M. A., Montoya, M. Á., Velasco-Gutiérrez, G., & Velez-Ocampo, J. F. (2023) · European Business Review · doi:10.1108/ebr-02-2023-0040 · Cited by 15 · see citing works
The converse inequality argument against tests of statistical significance.
Markus, K. A. (2001) · Psychological methods · doi:10.1037/1082-989x.6.2.147 · Cited by 12
Further Comments on Statistical Significance Tests.
Vacha-haase, T., & Thompson, B. (1998) · Measurement and Evaluation in Counseling and Development · doi:10.1080/07481756.1998.12068951 · Cited by 12 · see citing works
Masharipov, R., Knyazeva, I., Nikolaev, Y., Korotkov, A., Didur, M., Cherednichenko, D., & Kireev, M. (2021) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2021.738342 · Cited by 12 · see citing works
Confidence intervals and tests are two sides of the same research question
Perezgonzalez, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00034 · Cited by 11
“Therefore, it is more interesting to discuss Fisher’s (1954) or Neyman and Pearson’s theories (1933) than NHST. Cumming does so in his book (2012) but not in his article, thus painting an inaccurate picture of the value of data testing in research.”
BackgroundInfluentialA reconceptualization of significance testing
Perezgonzalez, J. (2014) · Theory & Psychology · doi:10.1177/0959354314546157 · Cited by 11 · see citing works
“…and the Task Force on Statistical Inference (1999), and Krueger (2001)—who are rather Fisherian—and to Kline (2004), Nickerson (2000), Wainer (1999), Cortina and Dunlap (1997), Frick (1996), Cohen (1988, 1994), Schmidt (1992), and Rosnow and Rosenthal (1989)—who are rather Neyman–Pearsonian.”
BackgroundExamining the asymmetry in judgments of racism in self and others
Bell, A. C., Burkley, M., & Bock, J. E. (2018) · The Journal of Social Psychology · doi:10.1080/00224545.2018.1538930 · Cited by 14 · see citing works
Assessment Measures and Clinical Scales
Hobart, J., & Thompson, A. J. (2001) · Springer eBooks · doi:10.1007/978-1-4471-3787-0_2 · Cited by 10 · see citing works
Commentary: Continuously cumulating meta-analysis and replicability
Perezgonzalez, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00565 · Cited by 8
“…meta-analysis On the other hand, the 10,000 runs of study-replication pairs address replication under a different testing approach, that of Fisher’s, arguably the default one in today’s research (Spielman, 1978; Johnstone, 1986; Cortina and Dunlap, 1997; Hubbard, 2004; Perezgonzalez, 2015b).”
MethodInfluentialLemire, S. (2010) · Journal of Statistics Education · doi:10.1080/10691898.2010.11889492 · Cited by 8 · see citing works
Polynomial Regression and Measurement Error
Aguirre-Urreta, M. I., Rönkkö, M., & Hu, J. (2020) · Data Base · doi:10.1145/3410977.3410981 · Cited by 7 · see citing works
Are Effect Sizes and Confidence Levels Problems For or Solutions To the Null Hypothesis Test?
Riopelle, A. (2000) · The Journal of general psychology · doi:10.1080/00221300009598579 · Cited by 7
“Cortina and Dunlap (1997) pointed out that such use of the confidence interval to draw a conclusion about the mean is in fact a significance test.”
BackgroundAnswering Two Criticisms of Hypothesis Testing
Leventhal, L. (1999) · Psychological Reports · doi:10.2466/pr0.1999.85.1.3 · Cited by 7 · see citing works
Zhu, M., Yamakawa, T., Yoda, M., Yasuda, T., Kurota, H., Ohshimo, S., & Fukuwaka, M. (2017) · Fisheries Science · doi:10.1007/s12562-017-1089-x · Cited by 6
“The 95% confidence intervals (CIs) [31, 32] of the estimated AIt were calculated by approximating the upper- and lower-half distributions of true population density Xit to respective half-normal distributions, because the distributions of the true population density were skewed and the upper CIs were broader than the…”
Method
- Authors
- Cortina, J. M., & Dunlap, W. P.
- Venue
- Psychological Methods
- Published
- 1997-06
- Volume
- 2
- Issue
- 2
- Pages
- 161-172
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2153986420
- Cited by
- 166
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 4 · 2017: 10 · 2016: 5 · 2015: 7 · 2014: 4 · 2013: 9 · 2012: 7
- FWCI
- 13.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Methods (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- null hypothesis significance testing, confidence intervals, effect size estimation, social science research, statistical inference
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